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International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011



     Embracing Manpower for Productivity in Apparel Industry
                                           S. Shanmugasundaram and N. Panchanatham


                                                                               apparel industry as a means to provide jobs, raise their
   Abstract—The Present paper discusses the Embracing                          standard of living and create economic wealth. Each is at a
Manpower for productivity in Apparel Industry.          Today,                 different stage of development but all view the industry as a
India's Apparel export is the single largest foreign exchange                  critical part of their social and economic health.
earner for the country. It contributes towards 6 per cent of the
                                                                                  There are two primary reasons that the apparel industry
Gross Domestic Product (GDP) of the country and earns 18 per
cent of the foreign exchange, through the export of all                        continues to be the industry that is used to lead developing
commodities. Approximately, 21 per cent is through India's                     countries to the promise of a better tomorrow. Apparel
exports of Apparel stem from Tamil Nadu. The Paper analyses                    manufacturing continues to be extremely labour intensive
what are the Manpower related export problems disturbing the                   and the barriers to entry are relatively low. It is amazing
export performance in Madras Export processing Zone,                           how majority of the apparel factories still really on one
Special Economic Zone and Export oriented units with the help
                                                                               primary ingredient for success. That ingredient is people.
of administering Questioner. The study is diagnosing factors of
labour productivity in the Apparel Manufacturing Export                        Because of the complexity and diversity of sewn products
Units. The paper Suggest, Labour productivity can be                           and the variation in hand of the raw materials, no one has
improved by imparting knowledge and skills to the workforce                    yet been able to replace the dexterity required by human
by arranging training programmes with experts both from                        hands to assemble woven products.
India and abroad.                                                                 India's share in the global trade is only 2.5 percent,
                                                                               whereas its main competitors Hong Kong, South Korea,
  Index Terms—Apparels industry in tamil nadu, labour
 productivity, factors affecting labour, productivity, suggestion
                                                                               Taiwan and China are amongst the top seven world leaders,
 and recozendation for increasing labour productivity.                         together covering nearly 32 percent of the world trade in
                                                                               garments. The major importers from India are the U.S.A.,
                                                                               Germany, United Kingdom and other European countries
                      I. INTRODUCTION                                          and leading non-quota countries like Japan, Australia,
   The textile and apparel industry is one of the leading                      Sweden and Switzerland.
segments of the Indian economy and the largest source of
foreign exchange earnings for India. This industry accounts
                                                                                     II. TEXTILE AND APPARELS IN TAMIL NADU
for 4 percent of the gross domestic product (GDP), 20
percent of industrial output, and slightly more than 30                           Tamil Nadu has etched a name for itself in the
percent of export earnings. The textile and apparel industry                   manufacture of cotton textiles and its leading position in this
employs about 38 million people, making it the largest                         area is well known not only in India but world over. The
source of industrial employment in India.                                      state contributes to more than 25 per cent of the country's
   In the 1800's the Textile Industry in England flourished                    exports of cotton yarn and fabrics. The exports of cotton
and the country became a major industrial and economic                         textiles in 1993 was RS 3,000 crores and it is estimated that
power worldwide. Likewise, in the last 1800's and early                        it will reach RS 4,000 crores by the end of 1995. USA, UK,
1900's, the textile and apparel industry fueled by the                         France and Germany are among the principal buyers of
industrial revolution, put the United States in an                             cotton textiles from Tamil Nadu. Approximately, 21 per
unprecedented place in the developed world. After the                          cent of India's exports of ready-made garments stem from
World War II, Japan used its textile and apparel industry to                   Tamil Nadu. In actual terms, it translates to around RS 2,000
rebuild its economy and became one of the largest exporters                    crores of garments being exported from the state, the two
of textile products in the world. Hong Kong and Taiwan                         main centers being Madras and Tirupur. In fact, Tirupur has
followed suit and used low cost labour to their advantage as                   emerged strongly as a major industrial township. As a
they began to dominate into the western hemisphere.                            consequence, several important 'spin-off' industries have
   It is well documented fact that the textile and apparel                     emerged in neighboring regions-the textile machinery
industries have been the driving force for all developed                       industry is one such offshoot.
countries. Today, such countries as China, Korea, Vietnam,
India, Pakistan, Bangladesh, Sri Lanka, Poland, Turkey,
Mexico, Guatemala, Honduras, Costa Rica, Brazil, the                                     III.   RELEVANT REVIEWS
Dominican Republic, Haiti and Africa have targeted the                            A World Bank Study (2003), says that Indian labour
                                                                               costs are amongst the lowest in the world. India has ready
                                                                               and cheaper access to basic raw material. The technological
   Manuscript received April 10, 2011; revised May 24, 2011.                   standard in the Indian spinning industry are fairly modern,
  S. Shanmugasundaram is with the Department of Business
Administration Since February, 2006 at Annamalai University, Annamalai         almost comparable to China. Bangladesh and Sri Lanka do
Nagar, Tamil Nadu, India.                                                      not have either spinning or weaving industries and hence
  N. Panchanatham is with the Department of Business Administration,           have to import the fabric.
Annamalai University, Annamalai Nagar, Tamil Nadu, India.

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International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011

    Sudhir Dhingra (2003), President of Orient craft, Noida,          secondary data for the study. The primary data would be
garment manufacturing in India is fraught with labour                 obtained from sampled apparels units in EPZ, EOU and SEZ
trouble. Labour strikes work at the slightest provocation. He         by administered questionnaire. There are 144 EPZ, EOU
also points out there is a lack of trained manpower in India.         and SEZ in Tamil Nadu as per the Directory of MEPZ SEZ /
   Atul Chaturvedi (2003), Joint Secretary, Ministry of               EOUs as its member out of which 25 per cent of sample
Textiles, Government of India identifies key reasons leading          (one fourth) selected for this study. So the Researcher
to fall in productivity level are India’s eroding cost                selected 36 units by using simple random method.
competitiveness across products, extremely fragmented
nature of the industry, technological obsolescence. He also
asserts that since textiles, especially garments is a labour                                 VI. HYPOTHESES TESTED
intensive activity there is a crying need to reform labour               The following hypotheses were formulated and tested in
laws for achieving high productivity and to improve tight             the study.
delivery schedules.                                                     1) There is a significant relationship in the labour
   Jchanna       M.Lessiager       (2002), Department of                    productivity level of Apparel manufacturers and their
Anthropology, Barnard College, Columbia University, NY,                     nature of operations.
USA in her study conducted among garment industry in                    2) There is a relationship between the size of the units and
Chennai says that low wages, long working hours,                            the mean level of labour productivity in the Apparel
oppressive facts, socio-economic conditions are primarily                   units.
the reason for low labour productivity level for the industry.
   Ravee Raman Malhotra (1999), CMD of Isex Fashions
Ltd., Chennai reports that automation and manufacturing                                    VII. LABOUR PRODUCTIVITY
efficiency was the key to success in the western countries
                                                                         The factors affecting the labour productivity of the
when the labour content in the garment industry became
                                                                      Apparel industry were studied. The ranking study of the
very high and changed from per piece basis to an hourly
                                                                      various factors was done by the weighted method, where
basis. The garment industry still continues to be a labour
                                                                      weight age was given to each factor according to its
intensive skilled industry throughout the world. Hence
                                                                      importance as perceived by the respondents and then
shifting of production and manufacturing centre every three
                                                                      assigned as point. Total points for each factor were added to
to five years to places where labour cost is lower is observed.
                                                                      decide the ranking position of all factors. This was done
Higher productivity, high throughput and lower costs are
                                                                      separately for Manufacturing Export Units and the analysis
based on efficient control and time saving methods (75
                                                                      are discussed in the following sections.
percent of the time in the manufacturing process is taken
away in the handling). For achieving productivity, the
                                                                      A. Ranking of factors influencing Labour Productivity in
manufacturing culture has to change from one based on
                                                                      the Manufacturing Export Units.
aphorism to analyse the preparation and proper technical
input. We need to identify the weakest links and bottlenecks
                                                                              TABLE 1.1 RANKING OF FACTORS INFLUENCING LABOUR
in the production, which usually are not machine based or                    PRODUCTIVITY IN THE MANUFACTURING EXPORT UNITS.
technically based, but are policy and culture based.                                                             Weighted
                                                                                        Factors                             Rank
                                                                                                                  Mean
            IV.   OBJECTIVES OF THE STUDY
                                                                         Absenteeism of the employees              3.67      1
  The current study had been undertaken with the following
specific objectives.                                                     Working conditions of the units           3.39      2
1) To identity the problems faced by the MEPZ, SEZ and
   EOU apparels manufacturers in the changed global                      Training facilities for the employees     2.86      8
   business scenario and their probable reasons and impacts              Operator to Helper ratio in the shop
   on future growth.                                                                                               2.94      7
                                                                         floor
2) To aim at diagnosing factors that contributes and hinders             Poor quality of raw materials and
                                                                                                                   3.25      4
   the labour productivity level of apparel industry.                    accessories
3) To generate suggestions and needs that are required for               Frequent changes of styles                3.17      5
   the progress of the industry to cope with the growing
   demands.                                                              Technological changes in the field        2.58      10

                                                                         Change from high volume to low
                                                                                                                   3.33      3
                                                                         volume orders
                      V. METHODOLOGY
                                                                         Usage of modern machines                  2.81      9
  The study had made use of both primary and secondary
data to address the issues taken up for research. Journals,              Deviation from standard time in
                                                                                                                   3.11      6
                                                                         manufacturing
reports, books, trade publications, articles, research papers
and the records of export promotion organizations like
Apparel Export promotion council, Apparel and Handloom                   Absenteeism was the main chronic problem that affected
Exports Association, Handicrafts and Handloom Export                  productivity in majority of the units. Labour turn-over and
Corporation and so on were referred to for collecting                 socio-economic background of the employees also affected
                                                                      labour productivity. Working conditions in the units were

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International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011

not upto the expectation. Shift from high volume to low                   seem to affect the labour productivity to a large extent.
volume orders also did not allow the labour productivity
                                                                          C. Manpower Vs Labour Productivity of Garments
level to be maintained. Procurement of accessories, price
fluctuation and poor quality of raw materials was a major                     TABLE 1.3 MANPOWER VS LABOUR PRODUCTIVITY OF GARMENTS
problem for the manufacturers were not in a position to
quote the correct price for their orders and also found it                             Manpower Details             Labour Productivity
difficult to fulfill the commitments they had already made.
                                                                                                          Male               0.2467
    Frequent changes of styles, deviation from the standard
                                                                                     Supervisors
time, operator to helper ratio also affected labour
                                                                                                          Female             0.332
productivity in the units. Most of the manufacturers felt that
training facilities for the employees could be arranged                                                   Male               0.228
through leading training institutions to enhance their                             Skilled operators
productivity level. Labour productivity level was also                                                    Female             0.239
affected due to prevailing labour laws, low wages,
inadequate welfare schemes. Better labour retention policies                                              Male               0.240
were also not available in the units. The systematic checking                   Semi-skilled Operators
of the production processes was average.                                                                  Female             0.062
   From the above analysis, the following main factors
affected labour productivity levels are being highlighted:                                                Male               0.015
                                                                                 Unskilled Operators
   •     Absenteeism of the employees
                                                                                                          Female             0.215
   •     Working conditions of the units
   •     Change from high volume to low volume orders.
                                                                            Table 1.3 Labour productivity could be improved by both
B. Labour Productivity in the Manufacturing Export Units                  male and female supervisors, male and female skilled
Vs Mean Rank                                                              operators, male semi-skilled operators and female unskilled
  H0: There is no significant relationship between the Mean               operators.
Rank towards the factors effecting labour productivity in the             D. Dimensions of Factors Affecting the Manufacturing
Manufacturing Export Units.                                               Export Units Vs Payment System
                                                                            H0: There is no significant relationship between the
      TABLE 1.2 LABOUR PRODUCTIVITY IN THE MANUFACTURING
                    EXPORT UNITS VS MEAN RANK                             Payment System available in the Manufacturing Export
                                                         P-               Units with respect to the dimensions of factors affecting the
     Factors affecting Labour       Mean     Chi-square
           Productivity             Rank       value
                                                        Va                Manufacturing Export Units.
                                                        lue
  Absenteeism of the employee          7.22                                        TABLE 1.4 DIMENSIONS OF FACTORS AFFECTING THE
                                                                                  MANUFACTURING EXPORT UNITS VS PAYMENT SYSTEM
  Working conditions of the units      6.46
                                                                                                                       Payment System
  Training facilities for the
                                       4.76
  employees
                                                                                                                                             Ba
  Operator to helper ratio in the                                                                                                            sic
                                       4.61
  shop floor                                                                                                                                 Sa
  Poor quality of raw materials                               0.0            Dimensions of                                                   lar
                                       5.92                                                     Chi-
  and accessories                                             00                 factors                           Consolidate       Piece    y
                                                  34.6106                                      squar      P-
                                                              1*              affecting the                            d             Rate     &
                                                                                                 e       Value
  Frequent changes of styles           5.76                    *             Manufacturin                                                    In
                                                                                               value
                                                                             g Export Units                                                  ce
  Technological changes in the                                                                                                               nti
                                       3.97
  field                                                                                                                                      ve
  Change from high volume to                                                                                                                 M
                                       6.15                                                                                          Mea     ea
  low volume orders
                                                                                                                   Mean Rank          n       n
  Usage of modern machines             4.74                                                                                          Rank    Ra
                                                                                                                                             nk
  Deviation from standard time in
                                       5.40
  manufacturing                                                             Labour                       0.692                               17.
                                                                                               0.7293                19.62           15.13
                                                                            Productivity                   2                                 59
   Since the p-value is less than 0.01, the null hypothesis is
rejected at 1% level of significance. Hence there is
                                                                            Since p-value is more than 0.05, there is no significant
significant relationship between the Mean Rank towards the
                                                                          between payment system with regard to labour productivity
factors affecting labour productivity in the Manufacturing
Export Units. Absenteeism of the employees, working                       E. Dimensions of Factors Affecting the Manufacturing
conditions of the units and frequent changes of styles were               Export Units Vs Average Earning of the Operator Per
the major factors identified to the reasons for low level of              month
labour productivity in the sample respondent units.                         H0: There is no significant relationship between the
Technological changes and operator to helper ratio did not

                                                                    234
International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011

average earning of the operator per month in the                                         Since the p-value is greater than 0.05, there is no
Manufacturing Export Units with respect to the dimensions                             significant difference between average monthly labour
of factors affecting the Manufacturing Export Units.                                  productivity.

          TABLE 1.5 DIMENSIONS OF FACTORS AFFECTING THE                                H. Dimensions of factors affecting Manufacturing Export
     MANUFACTURING EXPORT UNITS VS AVERAGE EARNING OF THE                              Units Vs Average Monthly Absenteeism of Labour
                     OPERATOR PER MONTH.                                                H0: There is no Significant difference between the
                                          Average earning of the operator             Average monthly absenteeism of labour with respect to the
Dimensions of
                    Chi-                                                              dimensions Of factors affecting the Manufacturing Export
    factors                                             Rs.2001
                   squar       P-         <=Rs.200                    >Rs.300         Units.
 affecting the                                             -
                     e        Value          0                           0                TABLE 1.8 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING
Manufacturin                                            Rs.3000
                   value                                                                 EXPORT UNITS VS AVERAGE MONTHLY ABSENTEEISM OF LABOUR.
g Export Units                              Mean         Mean          Mean
                                            Rank         Rank          Rank                                                              Average Monthly
                                                                                       Dimensions of                                       Absenteeism
Labour                         0.410
                   1.7665                   15.50          19.24       21.86               factors
Productivity                     2
                                                                                        affecting the       F-Value    P-Value     <=5%      6% - 10%      >10%
                                                                                       Manufacturing
   Since p-value is greater than 0.05, there is no significant                          Export Units                                Mean       Mean        Mean
relationship between the average earning of the operator per
month with regard to labour productivity.                                              Labour
                                                                                                            0.2227      0.8015     30.500      31.077     32.111
                                                                                       Productivity
 F. Dimensions of factors affecting the Manufacturing                                 Note : (1) ** denotes significance at 1% level
 Export Units Vs Operator Training
   H0: There is no significant difference between the                                    Since the p-value is greater than 0.05, there is no
Operator training in the Export Units with respect to the                             significant difference between average monthly absenteeism
dimensions of factors affecting the Manufacturing Export                              of labour with regard to labour productivity.
                                                                                               (2) * denotes significance at 5% level
Units.                                                                                        (3) Different alphabet between groups denotes significance at 5%
            TABLE 1.6 DIMENSIONS OF FACTORS AFFECTING THE                             level
        MANUFACTURING EXPORT UNITS VS OPERATOR TRAINING
                                                                                      I. Dimensions of factors affecting Manufacturing Export
 Dimensions of            Operator Training
factors affecting                                                                     Units Vs Quality Checker to Sewing Machine Operator
       the                                                                            Ratio
 Manufacturing           Yes              No                                             H0: There is no significant difference between the Quality
  Export Units                                       T-    P-
                                                    Value Value
                                                                                      checker to Sewing Machine Operator ratio with respect to
                   Mean      SD     Mean                                              the dimensions of factors affecting Manufacturing Export
                                                      SD                              Units.
                                                                                          TABLE 1.9 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING
                                                                                       EXPORT UNITS VS QUALITY CHECKER TO SEWING MACHINE OPERATOR
Labour               32.273     5.202     29.286                                                                  RATIO.
                                                     5.717     1.62     0.115
Productivity                                                                            Dimensions of
                                                                                                                             Quality checker/Sewing
Note : Different alphabet between groups denotes significant at 55 level.                   factors
                                                                                                                             machine operator ratio
                                                                                         affecting the  F-value P-Value
                                                                                        Manufacturing
   Since the p-value is more than 0.05, there is no significant                                                              1:5      1:10     1:>10
                                                                                         Export Units
difference between operator training with regard to labour                              Labour
                                                                                                         0.2981    0.7442   30.556 30.571 32.077
                                                                                        Productivity
productivity.
G. Dimensions of factors affecting Manufacturing Export                                  Since the p-value is greater than 0.05, there is no
Units Vs Average Monthly Labour Turnover                                              significant difference between the Quality checker to
  H0: There is no significant difference between the average                          Sewing machine operator ratio with regard to labour
monthly labour turnover in the Manufacturing Export Units                             productivity of garments.
with respect to the dimensions of factors affecting the
Manufacturing Export Units.
                                                                                                          VIII. SUMMARY AND CONCLUSION
    TABLE 1.7 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING
                                                                                         The Apparel Industry in Chennai city, Tamil Nadu had
     EXPORT UNITS VS AVERAGE MONTHLY LABOUR TURNOVER
                                                                                      grown enormously in the past decade, catalysed mainly by
                                                   Average Monthly                    export demand. The industry would not have been in a
                                                  Labour Turnover                     position to cater to the needs of world market, if they did not
     Dimensions of
    factors affecting                                     6% -
                                                                   >2                 strive for excellence in all their spectrum of activities. There
                             F-         P-      <=5%                0
           the
                            Value      Value              20%                         was a shift in management orientation towards perfection,
     Manufacturing                                                 %
                                                                   M                  right from managing the functioning of the Apparel industry
      Export Units
                                                Mean      Mean     ea                 to satisfying the foreign buyer, both in meeting the delivery
                                                                    n                 date and quality requirements.
                                                                  34.
    Labour
                           1.4437      0.2506   30.857   29.933    14
                                                                                         Low level of labour productivity, higher rejection rate of
    Productivity                                                                      garments and delayed delivery of garments were common
                                                                    3
                                                                                      universal business problems among the Apparel industry in


                                                                                235
International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011

all countries including India. Hence Apparel industry in              which will create avenues to improve and upgrade technical
Chennai city was selected as the area of study to analyse and         skills resulting in enhancing productivity levels amongst the
find out various causes for these issues. Though Apparel              workforce. Joint efforts should be made by Government and
industry had many other problems, labour was one of the               Apparel Manufacturers for opening up of more training and
important input to the production in the industry. Labour             design centers which will facilitate proper recruitment of
productivity in Apparel industry affected the business                qualified persons in the industry. The industry should also
performance, which in turn affected quality of garments and           make sizeable investments to garner global opportunities.
timely delivery of garments.                                                To conclude, if Indian Apparel manufacturers are to
   Growth of Apparel industry in Chennai was mostly due to            grow in the years to come, a lot more need to be done,
the spinning and weaving mills in and around it and                   production of garments in huge quantity with strict
availability of specialised skilled workers for this labour           specification and standards adopting modern production
intensive industry. Problems like outdated technology and             practices and supplying in time, developing dedicated
fragmentation of operations, which were more prevalent in             personnel and establishing wider network with international
most of the Apparel industry in Chennai, led to low level of          buyers will be the most essential elements of Apparel
labour Productivity. The Apparels industry in Chennai                 exporter to succeed. However, the competitive supplier
found it difficult to retain the best workers and hence the           countries in the world apparel markets can be left if the
cost of retention went up. There was no proper planning to            Indian Apparel manufacturers formulate, implement and
cater to the needs of this fast growing industry leading to           evaluate production and marketing technologies periodically.
water pollution and congestion. Intermittent power supply,
water scarcity, infrastructural problems and other
bottlenecks affected the business performance and labour                        X. SUGGESTION FOR FUTURE RESEARCH STUDIES
productivity level.                                                      A number of areas for future paper study are suggested
                                                                      from the observation made in the course of this paper.
                                                                      These areas are
           IX. SUGGESTION AND RECOMMENDATION                             1) A study on the Export Knitwear units outside
   To increase the labour productivity in Apparel units in                   Tirupur in Tamil Nadu.
Chennai city, an appropriate recruitment procedure should                2) Absenteeism/Labour       turnover    studies-Causes,
be created after job analysis. Workers should be counseled                   Extent and cure.
for reduction in production output, poor quality of garments             3) Export of Tamil Nadu-Problems and Prospects,
and so on. To achieve positive results motivation tools such             4) Labour disturbances in Textile Industry in Tamil
as training, appropriate wage structure and incentive along                  Nadu and in India.
with annual productivity linked bonus can be provided,
some of the available unskilled labour force can be                                                REFERENCES
converted into suitable skilled labour force. Suitable wage           [1]   Atul Chaturvedi: How competitive is India's Textile sector?, The
system for male workers with night shift allowance and also                 Economics Times, Chennai, Tuesday, 13th May 2003.
                                                                      [2]   JOhanna M. Lessinger: Look, here come the Girls who sew!, Female
with minimum production targets can help the Apparel                        Garment workers in Chennai, Paper submitted in the International
manufacturers to increase the productivity. The industry                    Conference on Communication and Development in the Digital Era,
should increase its managerial personnel and go for two or                  Chennai, February 6-8, 2002.
                                                                      [3]   Ravee RAman Malhotra: Management of Technology in Apparel
three shift system. Audio-Visual training can be provided in                Industry, Paper submitted in Seminar Organised by GMT Department
the factories daily one hour before or after working hours                  National Institute of Fashion Technology, India conducted in chennai,
and also during Sundays and during off-season of the                        31st July 1999.
business. The work environment must be changed so that                [4]   Shanmugasundaram S and Panchanatham N,”Export Challenges in
                                                                            Tamil Nadu Garment Industry”, Synthesis June 2007:67.
workers will feel it a pleasant one to work.                          [5]   Shanmugasundaram. S and Panchanatham. N,”Global Challenges in
   Labour productivity can be improved by imparting                         Tamil Nadu Garment Industry”, International Journal of Management
knowledge and skills to the workforce by arranging training                 Sciences dec.2007:127.
                                                                      [6]   Shanmugasundaram. S, Loganathan. G and Panchanatham. N
programmes with experts both from India and abroad. With                    “Quality Awareness – An Imperative Need for Flourishing Knitwear
the advent of latest trends in the production process                       Industry in India” International Journal of Trade, Economics and
garments, the Apparel units should establish collaborative                  Finance, Vol.1, No.3, October, 2010:309.
                                                                      [7]   Shanmugasundaram. S, Loganathan. G and Panchanatham. N
arrangements with similar industries in India and abroad.                   “Quality Management System– Imperative Need for Flourishing
The Apparel manufacturers should follow modern                              Knitwear Industry in India.” The Journal of Commerce, Vol. 2, No. 1,
management practices, adopt flexible manufacturing, quick                   2010 :58.
                                                                      [8]   Sudhir Dhingra: Labour Pains, Business World, 28th April 2003.
response techniques and productivity improvement                      [9]   World Bank Study: Indian Labour Cost, Business World, 28th April
techniques. Organisations like National Institute of Fashion                2003.
Technology, National productivity Council, Central Board
for Workers Education in India should come forward.
                                                                                             S.Shanmugasundaram, did MBA in 2001 and
Attracting more ventures in this sector is a must and in                                     M.Phil in Business Administration in 2005. He is
special in technology and overseas distribution.                                             serving as Assistant Professor in Department of
   Inducting state-of-the –art machinery and setting up of                                   Business Administration Since February, 2006 at
                                                                                             Annamalai University, Annamalai Nagar, Tamil
modern competitive manufacturing units are the needs of the                                  Nadu, India. He has got 30 research publications to
hour to increase labour productivity. The manufacturers                                      his credit in International and National Conferences
should advocate the increasing use of modern technology                                      and Journals.


                                                                236
International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011

N. Panchanatham, a PhD degree holder from the                more than 1000 articles in seminar and conferences. To date, he had
Annamalai University, India, is an Professor and             completed Five research projects funded by various agencies. He has
Head in Department of Business Administration,               visited more than 25 countries. He has vast teaching experiences (21 Years)
Annamalai University, Annamalai Nagar, Tamil                 in Corporate Trainer- HRD. He has supervised more than 11 Ph.D.,
Nadu, India. He has published Ten books, 300                 Completed and 10 Ph.D., ongoing in various Business Administration
articles in national and international journals, and         disciplines.




                                                       237

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137 m568

  • 1. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 Embracing Manpower for Productivity in Apparel Industry S. Shanmugasundaram and N. Panchanatham apparel industry as a means to provide jobs, raise their Abstract—The Present paper discusses the Embracing standard of living and create economic wealth. Each is at a Manpower for productivity in Apparel Industry. Today, different stage of development but all view the industry as a India's Apparel export is the single largest foreign exchange critical part of their social and economic health. earner for the country. It contributes towards 6 per cent of the There are two primary reasons that the apparel industry Gross Domestic Product (GDP) of the country and earns 18 per cent of the foreign exchange, through the export of all continues to be the industry that is used to lead developing commodities. Approximately, 21 per cent is through India's countries to the promise of a better tomorrow. Apparel exports of Apparel stem from Tamil Nadu. The Paper analyses manufacturing continues to be extremely labour intensive what are the Manpower related export problems disturbing the and the barriers to entry are relatively low. It is amazing export performance in Madras Export processing Zone, how majority of the apparel factories still really on one Special Economic Zone and Export oriented units with the help primary ingredient for success. That ingredient is people. of administering Questioner. The study is diagnosing factors of labour productivity in the Apparel Manufacturing Export Because of the complexity and diversity of sewn products Units. The paper Suggest, Labour productivity can be and the variation in hand of the raw materials, no one has improved by imparting knowledge and skills to the workforce yet been able to replace the dexterity required by human by arranging training programmes with experts both from hands to assemble woven products. India and abroad. India's share in the global trade is only 2.5 percent, whereas its main competitors Hong Kong, South Korea, Index Terms—Apparels industry in tamil nadu, labour productivity, factors affecting labour, productivity, suggestion Taiwan and China are amongst the top seven world leaders, and recozendation for increasing labour productivity. together covering nearly 32 percent of the world trade in garments. The major importers from India are the U.S.A., Germany, United Kingdom and other European countries I. INTRODUCTION and leading non-quota countries like Japan, Australia, The textile and apparel industry is one of the leading Sweden and Switzerland. segments of the Indian economy and the largest source of foreign exchange earnings for India. This industry accounts II. TEXTILE AND APPARELS IN TAMIL NADU for 4 percent of the gross domestic product (GDP), 20 percent of industrial output, and slightly more than 30 Tamil Nadu has etched a name for itself in the percent of export earnings. The textile and apparel industry manufacture of cotton textiles and its leading position in this employs about 38 million people, making it the largest area is well known not only in India but world over. The source of industrial employment in India. state contributes to more than 25 per cent of the country's In the 1800's the Textile Industry in England flourished exports of cotton yarn and fabrics. The exports of cotton and the country became a major industrial and economic textiles in 1993 was RS 3,000 crores and it is estimated that power worldwide. Likewise, in the last 1800's and early it will reach RS 4,000 crores by the end of 1995. USA, UK, 1900's, the textile and apparel industry fueled by the France and Germany are among the principal buyers of industrial revolution, put the United States in an cotton textiles from Tamil Nadu. Approximately, 21 per unprecedented place in the developed world. After the cent of India's exports of ready-made garments stem from World War II, Japan used its textile and apparel industry to Tamil Nadu. In actual terms, it translates to around RS 2,000 rebuild its economy and became one of the largest exporters crores of garments being exported from the state, the two of textile products in the world. Hong Kong and Taiwan main centers being Madras and Tirupur. In fact, Tirupur has followed suit and used low cost labour to their advantage as emerged strongly as a major industrial township. As a they began to dominate into the western hemisphere. consequence, several important 'spin-off' industries have It is well documented fact that the textile and apparel emerged in neighboring regions-the textile machinery industries have been the driving force for all developed industry is one such offshoot. countries. Today, such countries as China, Korea, Vietnam, India, Pakistan, Bangladesh, Sri Lanka, Poland, Turkey, Mexico, Guatemala, Honduras, Costa Rica, Brazil, the III. RELEVANT REVIEWS Dominican Republic, Haiti and Africa have targeted the A World Bank Study (2003), says that Indian labour costs are amongst the lowest in the world. India has ready and cheaper access to basic raw material. The technological Manuscript received April 10, 2011; revised May 24, 2011. standard in the Indian spinning industry are fairly modern, S. Shanmugasundaram is with the Department of Business Administration Since February, 2006 at Annamalai University, Annamalai almost comparable to China. Bangladesh and Sri Lanka do Nagar, Tamil Nadu, India. not have either spinning or weaving industries and hence N. Panchanatham is with the Department of Business Administration, have to import the fabric. Annamalai University, Annamalai Nagar, Tamil Nadu, India. 232
  • 2. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 Sudhir Dhingra (2003), President of Orient craft, Noida, secondary data for the study. The primary data would be garment manufacturing in India is fraught with labour obtained from sampled apparels units in EPZ, EOU and SEZ trouble. Labour strikes work at the slightest provocation. He by administered questionnaire. There are 144 EPZ, EOU also points out there is a lack of trained manpower in India. and SEZ in Tamil Nadu as per the Directory of MEPZ SEZ / Atul Chaturvedi (2003), Joint Secretary, Ministry of EOUs as its member out of which 25 per cent of sample Textiles, Government of India identifies key reasons leading (one fourth) selected for this study. So the Researcher to fall in productivity level are India’s eroding cost selected 36 units by using simple random method. competitiveness across products, extremely fragmented nature of the industry, technological obsolescence. He also asserts that since textiles, especially garments is a labour VI. HYPOTHESES TESTED intensive activity there is a crying need to reform labour The following hypotheses were formulated and tested in laws for achieving high productivity and to improve tight the study. delivery schedules. 1) There is a significant relationship in the labour Jchanna M.Lessiager (2002), Department of productivity level of Apparel manufacturers and their Anthropology, Barnard College, Columbia University, NY, nature of operations. USA in her study conducted among garment industry in 2) There is a relationship between the size of the units and Chennai says that low wages, long working hours, the mean level of labour productivity in the Apparel oppressive facts, socio-economic conditions are primarily units. the reason for low labour productivity level for the industry. Ravee Raman Malhotra (1999), CMD of Isex Fashions Ltd., Chennai reports that automation and manufacturing VII. LABOUR PRODUCTIVITY efficiency was the key to success in the western countries The factors affecting the labour productivity of the when the labour content in the garment industry became Apparel industry were studied. The ranking study of the very high and changed from per piece basis to an hourly various factors was done by the weighted method, where basis. The garment industry still continues to be a labour weight age was given to each factor according to its intensive skilled industry throughout the world. Hence importance as perceived by the respondents and then shifting of production and manufacturing centre every three assigned as point. Total points for each factor were added to to five years to places where labour cost is lower is observed. decide the ranking position of all factors. This was done Higher productivity, high throughput and lower costs are separately for Manufacturing Export Units and the analysis based on efficient control and time saving methods (75 are discussed in the following sections. percent of the time in the manufacturing process is taken away in the handling). For achieving productivity, the A. Ranking of factors influencing Labour Productivity in manufacturing culture has to change from one based on the Manufacturing Export Units. aphorism to analyse the preparation and proper technical input. We need to identify the weakest links and bottlenecks TABLE 1.1 RANKING OF FACTORS INFLUENCING LABOUR in the production, which usually are not machine based or PRODUCTIVITY IN THE MANUFACTURING EXPORT UNITS. technically based, but are policy and culture based. Weighted Factors Rank Mean IV. OBJECTIVES OF THE STUDY Absenteeism of the employees 3.67 1 The current study had been undertaken with the following specific objectives. Working conditions of the units 3.39 2 1) To identity the problems faced by the MEPZ, SEZ and EOU apparels manufacturers in the changed global Training facilities for the employees 2.86 8 business scenario and their probable reasons and impacts Operator to Helper ratio in the shop on future growth. 2.94 7 floor 2) To aim at diagnosing factors that contributes and hinders Poor quality of raw materials and 3.25 4 the labour productivity level of apparel industry. accessories 3) To generate suggestions and needs that are required for Frequent changes of styles 3.17 5 the progress of the industry to cope with the growing demands. Technological changes in the field 2.58 10 Change from high volume to low 3.33 3 volume orders V. METHODOLOGY Usage of modern machines 2.81 9 The study had made use of both primary and secondary data to address the issues taken up for research. Journals, Deviation from standard time in 3.11 6 manufacturing reports, books, trade publications, articles, research papers and the records of export promotion organizations like Apparel Export promotion council, Apparel and Handloom Absenteeism was the main chronic problem that affected Exports Association, Handicrafts and Handloom Export productivity in majority of the units. Labour turn-over and Corporation and so on were referred to for collecting socio-economic background of the employees also affected labour productivity. Working conditions in the units were 233
  • 3. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 not upto the expectation. Shift from high volume to low seem to affect the labour productivity to a large extent. volume orders also did not allow the labour productivity C. Manpower Vs Labour Productivity of Garments level to be maintained. Procurement of accessories, price fluctuation and poor quality of raw materials was a major TABLE 1.3 MANPOWER VS LABOUR PRODUCTIVITY OF GARMENTS problem for the manufacturers were not in a position to quote the correct price for their orders and also found it Manpower Details Labour Productivity difficult to fulfill the commitments they had already made. Male 0.2467 Frequent changes of styles, deviation from the standard Supervisors time, operator to helper ratio also affected labour Female 0.332 productivity in the units. Most of the manufacturers felt that training facilities for the employees could be arranged Male 0.228 through leading training institutions to enhance their Skilled operators productivity level. Labour productivity level was also Female 0.239 affected due to prevailing labour laws, low wages, inadequate welfare schemes. Better labour retention policies Male 0.240 were also not available in the units. The systematic checking Semi-skilled Operators of the production processes was average. Female 0.062 From the above analysis, the following main factors affected labour productivity levels are being highlighted: Male 0.015 Unskilled Operators • Absenteeism of the employees Female 0.215 • Working conditions of the units • Change from high volume to low volume orders. Table 1.3 Labour productivity could be improved by both B. Labour Productivity in the Manufacturing Export Units male and female supervisors, male and female skilled Vs Mean Rank operators, male semi-skilled operators and female unskilled H0: There is no significant relationship between the Mean operators. Rank towards the factors effecting labour productivity in the D. Dimensions of Factors Affecting the Manufacturing Manufacturing Export Units. Export Units Vs Payment System H0: There is no significant relationship between the TABLE 1.2 LABOUR PRODUCTIVITY IN THE MANUFACTURING EXPORT UNITS VS MEAN RANK Payment System available in the Manufacturing Export P- Units with respect to the dimensions of factors affecting the Factors affecting Labour Mean Chi-square Productivity Rank value Va Manufacturing Export Units. lue Absenteeism of the employee 7.22 TABLE 1.4 DIMENSIONS OF FACTORS AFFECTING THE MANUFACTURING EXPORT UNITS VS PAYMENT SYSTEM Working conditions of the units 6.46 Payment System Training facilities for the 4.76 employees Ba Operator to helper ratio in the sic 4.61 shop floor Sa Poor quality of raw materials 0.0 Dimensions of lar 5.92 Chi- and accessories 00 factors Consolidate Piece y 34.6106 squar P- 1* affecting the d Rate & e Value Frequent changes of styles 5.76 * Manufacturin In value g Export Units ce Technological changes in the nti 3.97 field ve Change from high volume to M 6.15 Mea ea low volume orders Mean Rank n n Usage of modern machines 4.74 Rank Ra nk Deviation from standard time in 5.40 manufacturing Labour 0.692 17. 0.7293 19.62 15.13 Productivity 2 59 Since the p-value is less than 0.01, the null hypothesis is rejected at 1% level of significance. Hence there is Since p-value is more than 0.05, there is no significant significant relationship between the Mean Rank towards the between payment system with regard to labour productivity factors affecting labour productivity in the Manufacturing Export Units. Absenteeism of the employees, working E. Dimensions of Factors Affecting the Manufacturing conditions of the units and frequent changes of styles were Export Units Vs Average Earning of the Operator Per the major factors identified to the reasons for low level of month labour productivity in the sample respondent units. H0: There is no significant relationship between the Technological changes and operator to helper ratio did not 234
  • 4. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 average earning of the operator per month in the Since the p-value is greater than 0.05, there is no Manufacturing Export Units with respect to the dimensions significant difference between average monthly labour of factors affecting the Manufacturing Export Units. productivity. TABLE 1.5 DIMENSIONS OF FACTORS AFFECTING THE H. Dimensions of factors affecting Manufacturing Export MANUFACTURING EXPORT UNITS VS AVERAGE EARNING OF THE Units Vs Average Monthly Absenteeism of Labour OPERATOR PER MONTH. H0: There is no Significant difference between the Average earning of the operator Average monthly absenteeism of labour with respect to the Dimensions of Chi- dimensions Of factors affecting the Manufacturing Export factors Rs.2001 squar P- <=Rs.200 >Rs.300 Units. affecting the - e Value 0 0 TABLE 1.8 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING Manufacturin Rs.3000 value EXPORT UNITS VS AVERAGE MONTHLY ABSENTEEISM OF LABOUR. g Export Units Mean Mean Mean Rank Rank Rank Average Monthly Dimensions of Absenteeism Labour 0.410 1.7665 15.50 19.24 21.86 factors Productivity 2 affecting the F-Value P-Value <=5% 6% - 10% >10% Manufacturing Since p-value is greater than 0.05, there is no significant Export Units Mean Mean Mean relationship between the average earning of the operator per month with regard to labour productivity. Labour 0.2227 0.8015 30.500 31.077 32.111 Productivity F. Dimensions of factors affecting the Manufacturing Note : (1) ** denotes significance at 1% level Export Units Vs Operator Training H0: There is no significant difference between the Since the p-value is greater than 0.05, there is no Operator training in the Export Units with respect to the significant difference between average monthly absenteeism dimensions of factors affecting the Manufacturing Export of labour with regard to labour productivity. (2) * denotes significance at 5% level Units. (3) Different alphabet between groups denotes significance at 5% TABLE 1.6 DIMENSIONS OF FACTORS AFFECTING THE level MANUFACTURING EXPORT UNITS VS OPERATOR TRAINING I. Dimensions of factors affecting Manufacturing Export Dimensions of Operator Training factors affecting Units Vs Quality Checker to Sewing Machine Operator the Ratio Manufacturing Yes No H0: There is no significant difference between the Quality Export Units T- P- Value Value checker to Sewing Machine Operator ratio with respect to Mean SD Mean the dimensions of factors affecting Manufacturing Export SD Units. TABLE 1.9 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING EXPORT UNITS VS QUALITY CHECKER TO SEWING MACHINE OPERATOR Labour 32.273 5.202 29.286 RATIO. 5.717 1.62 0.115 Productivity Dimensions of Quality checker/Sewing Note : Different alphabet between groups denotes significant at 55 level. factors machine operator ratio affecting the F-value P-Value Manufacturing Since the p-value is more than 0.05, there is no significant 1:5 1:10 1:>10 Export Units difference between operator training with regard to labour Labour 0.2981 0.7442 30.556 30.571 32.077 Productivity productivity. G. Dimensions of factors affecting Manufacturing Export Since the p-value is greater than 0.05, there is no Units Vs Average Monthly Labour Turnover significant difference between the Quality checker to H0: There is no significant difference between the average Sewing machine operator ratio with regard to labour monthly labour turnover in the Manufacturing Export Units productivity of garments. with respect to the dimensions of factors affecting the Manufacturing Export Units. VIII. SUMMARY AND CONCLUSION TABLE 1.7 DIMENSIONS OF FACTORS AFFECTING MANUFACTURING The Apparel Industry in Chennai city, Tamil Nadu had EXPORT UNITS VS AVERAGE MONTHLY LABOUR TURNOVER grown enormously in the past decade, catalysed mainly by Average Monthly export demand. The industry would not have been in a Labour Turnover position to cater to the needs of world market, if they did not Dimensions of factors affecting 6% - >2 strive for excellence in all their spectrum of activities. There F- P- <=5% 0 the Value Value 20% was a shift in management orientation towards perfection, Manufacturing % M right from managing the functioning of the Apparel industry Export Units Mean Mean ea to satisfying the foreign buyer, both in meeting the delivery n date and quality requirements. 34. Labour 1.4437 0.2506 30.857 29.933 14 Low level of labour productivity, higher rejection rate of Productivity garments and delayed delivery of garments were common 3 universal business problems among the Apparel industry in 235
  • 5. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 all countries including India. Hence Apparel industry in which will create avenues to improve and upgrade technical Chennai city was selected as the area of study to analyse and skills resulting in enhancing productivity levels amongst the find out various causes for these issues. Though Apparel workforce. Joint efforts should be made by Government and industry had many other problems, labour was one of the Apparel Manufacturers for opening up of more training and important input to the production in the industry. Labour design centers which will facilitate proper recruitment of productivity in Apparel industry affected the business qualified persons in the industry. The industry should also performance, which in turn affected quality of garments and make sizeable investments to garner global opportunities. timely delivery of garments. To conclude, if Indian Apparel manufacturers are to Growth of Apparel industry in Chennai was mostly due to grow in the years to come, a lot more need to be done, the spinning and weaving mills in and around it and production of garments in huge quantity with strict availability of specialised skilled workers for this labour specification and standards adopting modern production intensive industry. Problems like outdated technology and practices and supplying in time, developing dedicated fragmentation of operations, which were more prevalent in personnel and establishing wider network with international most of the Apparel industry in Chennai, led to low level of buyers will be the most essential elements of Apparel labour Productivity. The Apparels industry in Chennai exporter to succeed. However, the competitive supplier found it difficult to retain the best workers and hence the countries in the world apparel markets can be left if the cost of retention went up. There was no proper planning to Indian Apparel manufacturers formulate, implement and cater to the needs of this fast growing industry leading to evaluate production and marketing technologies periodically. water pollution and congestion. Intermittent power supply, water scarcity, infrastructural problems and other bottlenecks affected the business performance and labour X. SUGGESTION FOR FUTURE RESEARCH STUDIES productivity level. A number of areas for future paper study are suggested from the observation made in the course of this paper. These areas are IX. SUGGESTION AND RECOMMENDATION 1) A study on the Export Knitwear units outside To increase the labour productivity in Apparel units in Tirupur in Tamil Nadu. Chennai city, an appropriate recruitment procedure should 2) Absenteeism/Labour turnover studies-Causes, be created after job analysis. Workers should be counseled Extent and cure. for reduction in production output, poor quality of garments 3) Export of Tamil Nadu-Problems and Prospects, and so on. To achieve positive results motivation tools such 4) Labour disturbances in Textile Industry in Tamil as training, appropriate wage structure and incentive along Nadu and in India. with annual productivity linked bonus can be provided, some of the available unskilled labour force can be REFERENCES converted into suitable skilled labour force. Suitable wage [1] Atul Chaturvedi: How competitive is India's Textile sector?, The system for male workers with night shift allowance and also Economics Times, Chennai, Tuesday, 13th May 2003. [2] JOhanna M. Lessinger: Look, here come the Girls who sew!, Female with minimum production targets can help the Apparel Garment workers in Chennai, Paper submitted in the International manufacturers to increase the productivity. The industry Conference on Communication and Development in the Digital Era, should increase its managerial personnel and go for two or Chennai, February 6-8, 2002. [3] Ravee RAman Malhotra: Management of Technology in Apparel three shift system. Audio-Visual training can be provided in Industry, Paper submitted in Seminar Organised by GMT Department the factories daily one hour before or after working hours National Institute of Fashion Technology, India conducted in chennai, and also during Sundays and during off-season of the 31st July 1999. business. The work environment must be changed so that [4] Shanmugasundaram S and Panchanatham N,”Export Challenges in Tamil Nadu Garment Industry”, Synthesis June 2007:67. workers will feel it a pleasant one to work. [5] Shanmugasundaram. S and Panchanatham. N,”Global Challenges in Labour productivity can be improved by imparting Tamil Nadu Garment Industry”, International Journal of Management knowledge and skills to the workforce by arranging training Sciences dec.2007:127. [6] Shanmugasundaram. S, Loganathan. G and Panchanatham. N programmes with experts both from India and abroad. With “Quality Awareness – An Imperative Need for Flourishing Knitwear the advent of latest trends in the production process Industry in India” International Journal of Trade, Economics and garments, the Apparel units should establish collaborative Finance, Vol.1, No.3, October, 2010:309. [7] Shanmugasundaram. S, Loganathan. G and Panchanatham. N arrangements with similar industries in India and abroad. “Quality Management System– Imperative Need for Flourishing The Apparel manufacturers should follow modern Knitwear Industry in India.” The Journal of Commerce, Vol. 2, No. 1, management practices, adopt flexible manufacturing, quick 2010 :58. [8] Sudhir Dhingra: Labour Pains, Business World, 28th April 2003. response techniques and productivity improvement [9] World Bank Study: Indian Labour Cost, Business World, 28th April techniques. Organisations like National Institute of Fashion 2003. Technology, National productivity Council, Central Board for Workers Education in India should come forward. S.Shanmugasundaram, did MBA in 2001 and Attracting more ventures in this sector is a must and in M.Phil in Business Administration in 2005. He is special in technology and overseas distribution. serving as Assistant Professor in Department of Inducting state-of-the –art machinery and setting up of Business Administration Since February, 2006 at Annamalai University, Annamalai Nagar, Tamil modern competitive manufacturing units are the needs of the Nadu, India. He has got 30 research publications to hour to increase labour productivity. The manufacturers his credit in International and National Conferences should advocate the increasing use of modern technology and Journals. 236
  • 6. International Journal of Innovation, Management and Technology, Vol. 2, No. 3, June 2011 N. Panchanatham, a PhD degree holder from the more than 1000 articles in seminar and conferences. To date, he had Annamalai University, India, is an Professor and completed Five research projects funded by various agencies. He has Head in Department of Business Administration, visited more than 25 countries. He has vast teaching experiences (21 Years) Annamalai University, Annamalai Nagar, Tamil in Corporate Trainer- HRD. He has supervised more than 11 Ph.D., Nadu, India. He has published Ten books, 300 Completed and 10 Ph.D., ongoing in various Business Administration articles in national and international journals, and disciplines. 237