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uality is one of the most important management principles for any organization regardless of industry. This is particularly true for the pharmaceutical sector: maintaining quality product standards is essential for the prevention and treatment of numerous medical disorders.

Although the pharmaceutical industry has been around for centuries, in recent years we have experienced an increase in the number of drugs being launched in the market. As a result of this increase, the need for quality assurance and quality control measures has risen. For instance, drug manufacturers must follow strict guidelines to get their drugs approved by the FDA (Food and Drug Administration) in the United States. Such guidelines include requirements for testing, manufacturing, labelling, packaging, storing and distributing pharmaceuticals.

Quality Management
Quality management is a crucial component of any successful organization as it ensures that products and services are produced and distributed consistently and effectively.

Good Manufacturing Practice (GMP) is the element of quality management that ensures goods are produced and controlled according to the quality standards of their intended use and that they meet the requirements specified by the marketing authorization or product specification. Additionally, it ensures that manufactured goods are safe, of high quality, and effective. For pharmaceutical companies, GMP entails the monitoring of procedures, apparatuses, employees, and environments.

Quality planning, quality control, and quality assurance are all important aspects of quality management too. We’ll look at what quality management is, why it’s important, and the main components and principles of quality management in this article.

Quality planning
Quality planning refers to the process of defining the quality requirements and standards of a product or service and identifying the resources needed to meet such requirements and standards. The planning phase is the first stage in establishing a good quality management system. It is in this phase that companies define their baseline quality objectives. Once goals have been set, organizations must determine what is required to achieve these objectives and what procedures should be implemented to ensure their success. During this stage of the quality management process, it is important to keep in mind the following considerations:

The organization’s definition of success
How often procedures and processes will be evaluated for improvement
If the stakeholders have any quality-related priorities, goals, or ambitions
If there are any legal procedures or standards that must be followed in order to achieve the desired quality level
Quality Control
Quality control is the next step in the quality management process. At this stage, companies assess through physical inspection and testing whether their plan is achievable.

uality is one of the most important management principles for any organization regardless of industry. This is particularly true for the pharmaceutical sector: maintaining quality product standards is essential for the prevention and treatment of numerous medical disorders.

Although the pharmaceutical industry has been around for centuries, in recent years we have experienced an increase in the number of drugs being launched in the market. As a result of this increase, the need for quality assurance and quality control measures has risen. For instance, drug manufacturers must follow strict guidelines to get their drugs approved by the FDA (Food and Drug Administration) in the United States. Such guidelines include requirements for testing, manufacturing, labelling, packaging, storing and distributing pharmaceuticals.

Quality Management
Quality management is a crucial component of any successful organization as it ensures that products and services are produced and distributed consistently and effectively.

Good Manufacturing Practice (GMP) is the element of quality management that ensures goods are produced and controlled according to the quality standards of their intended use and that they meet the requirements specified by the marketing authorization or product specification. Additionally, it ensures that manufactured goods are safe, of high quality, and effective. For pharmaceutical companies, GMP entails the monitoring of procedures, apparatuses, employees, and environments.

Quality planning, quality control, and quality assurance are all important aspects of quality management too. We’ll look at what quality management is, why it’s important, and the main components and principles of quality management in this article.

Quality planning
Quality planning refers to the process of defining the quality requirements and standards of a product or service and identifying the resources needed to meet such requirements and standards. The planning phase is the first stage in establishing a good quality management system. It is in this phase that companies define their baseline quality objectives. Once goals have been set, organizations must determine what is required to achieve these objectives and what procedures should be implemented to ensure their success. During this stage of the quality management process, it is important to keep in mind the following considerations:

The organization’s definition of success
How often procedures and processes will be evaluated for improvement
If the stakeholders have any quality-related priorities, goals, or ambitions
If there are any legal procedures or standards that must be followed in order to achieve the desired quality level
Quality Control
Quality control is the next step in the quality management process. At this stage, companies assess through physical inspection and testing whether their plan is achievable.

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Alpla_EKTHA.pptx

  1. 1. Ektha Quality Circle
  2. 2. Case Study Presentation By Ektha Quality Circle
  3. 3. IDENTIFICATION OF PROBLEMS SELECTION OF PROBLEM DEFINE THE PROBLEM ANALYSE THE PROBLEM FINDING ROOT CAUSE DATA ANALYSIS DEVELOPING SOLUTION PROBABLE RESISTANCE TRIAL IMPLEMENTATION REGULAR IMPLEMENTATION FOLLOW UP/ REVIEW IDENTIFICATION OF CAUSES APPROACH : 12 STEP METHODOLOGY & QC TOOLS Developed by Dr. J. M. Juran
  4. 4. MEETING SCHEDULE : EVERY MONDAY TIME : 14:30 TO 15:30 HRS. VENUE : TECHNICAL CENTRE ACADEMY TILL 19TH SEPTEMBER 2020 NO OF MEETINGS HELD - 29 AVERAGE ATTENDANCE PERCENTAGE - 90
  5. 5. STEP-1 IDENTIFICATION OF WORK-RELATED PROBLEMS CUSTOMER SATISFACTION PDCA Cycle Technique used : Brainstorming 1. Identification of work- related problems 2. Selection of problems 3. Define the problem Dr. EDWARDS DEMING
  6. 6. STEP #1: IDENTIFICATION OF WORK-RELATED PROBLEMS BY BRAINSTORMING TOTAL PROBLEMS IDENTIFIED : 52 PROBLEMS LISTED BY USING “A” “B” “C” ANALYSIS “A”CATEGORY PROBLEM :- Minimum involvement of other departments in solving the problem. “B”CATEGORY PROBLEM :- Involvement of other departments is necessity. “C”CATEGORY PROBLEM :- Management sanction needed in implementing the solution.
  7. 7. 1. Parison cutting Issue. 2. Leak Tester Issue. 3. Chiller Flow issue to Mould. 4. Frequent breakdown of Robo-packing machine 5. Oil temperature High. 6. Hydraulic Motor tripped. 7. Machine General and Preventive Maintenance. 8. Machine Safety Guard Problem. 9. Alpla maintenance Software requisition issue. 10.Wasting the Energy by turning ON the Motor during NO Plan. 11.Mould Change Maintenance. 12.High level of noise observed while grinding. 13.Chiller Flow issue to Mould. 14.Cooling pipe near mould is damaged. 15.Injection Pressure transducer problem. 16.Raw Material Sucking Issue from Silo. IDENTIFICATION OF WORK-RELATED PROBLEMS BY BRAINSTORMING “A” CATEGORY PROBLEMS :-
  8. 8. 17. Tonnage Build-up Issue. 18. Cavity Short Fill Issue. 19. Cavities blocked due to runner ejector pin function issue. 20. Calibration Drive Error. 21. Piovan dosing unit issue. 22. Double Shot due to ejector bolt Loose. 23. In Mold closing rod adjustment issue. 24. Oil leakage from ejector Cylinder. 25. Production stroke error on Blow Mold machines. 26. Frequent damage of cutting rings on Blow Mould machines. 27. Water leakages near drainpipe in AHU’s IDENTIFICATION OF WORK-RELATED PROBLEMS BY BRAINSTORMING “A” CATEGORY PROBLEMS :- A-Type 27
  9. 9. 1. Material Conveying Issue. 2. ISBM Pockets Damaged. 3. Sensor Issue. 4. Walkway Blocked due to pallets. 5. Regrinding Material Problem. 6. Power Fluctuations due to High/Low voltage. 7. Chiller water flow issue. 8. Air pressure fluctuation. 9. Strainer jam. 10. Water flow meter not working. 11. Oil level low alarm on the machines. 12. Cooling Towers inside dosing system with chemical is to be arranged. 13. Compressed air leakages on the machine and near joints of pipeline. 14. Mishandling of forklifts and hand trolleys. 15. RO unit rejection water is more compared to treated water. “B” CATEGORY PROBLEMS :- IDENTIFICATION OF WORK-RELATED PROBLEMS BY BRAINSTORMING B-Type 15
  10. 10. 1. Material Quality Issue( Damage wadding). 2. No availability of spare parts(Machine DT). 3. Dents on Pathway (Flooring). 4. Man Problem Issue. 5. Power fluctuation. 6. Wastage of hydraulic oil and lubrication oil due to leakages in various machines. 7. Lack of central water purifiers for drinking water. 8. Insulation worn-out on chiller water pipelines near machines. 9. Main bore connections to be linked up with Automatic On/Off remote system. 10. Material Conveying infrastructure modification. “C” CATEGORY PROBLEMS :- IDENTIFICATION OF WORK-RELATED PROBLEMS BY BRAINSTORMING C-Type 10
  11. 11. 15 STEP-2 Tool & Technique used Ranking Analysis
  12. 12. From above five problems, second problem is selected based on ranking method criteria used for rank allotment. 1. UTILISATION OF AVAILABLE RESOURCES 2. PRODUCTIVITY 3. QUALITY 4. SAFETY 5. OPERATOR SATISFACTION STEP #2 : SELECTION OF PROBLEMS From identified 52 problems the following five problems are selected by our team members based on priority. 17 S.No Problems S A P M Pr J B Total Rank 1 Mold General and Preventive Maintenance 5 4 4 3 5 3 4 28 II 2 Frequent breakdown of Robo- packing machine 5 5 5 5 4 4 4 31 I 3 Material Conveying Issue 4 3 4 3 3 3 3 24 V 4 Cold cutter Problems in EBM 3 3 3 4 5 4 5 28 III 5 Requisition raising Issue in Alpla Maintenance Software 4 3 3 3 4 4 5 27 IV
  13. 13. 18  Hi machine down time  Low productivity  High rejection SELECTED PROJECT Frequent breakdown of Robo-packing machine Reason for selection
  14. 14. PLANNING MILESTONE CHART Quality Circle name : EKTHA Dept. : PRODUCTION Facilitator : SOUSHEEL Project: Frequent breakdown of Robo-packing machine Project: PRODUCTION LOSS DUE TO BREAKDOWN OF ROBO-PACKING MACHINE Members: BRAHMAM (Leader), SWARA MADHURI (Dy.Leader) Project No: 1 Project Start Date: 04.11.2019 Meeting day: Monday Time: 02:30PM-03:30PM No.of projects completed : 1 S.No PDCA Activity 1 2 3 4 5 6 7 8 9 10 11 12 Cycle WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK 1 P Defining the problem 04.11 11.11 2 D Analyzing the problem 18.11 3 Identifying the causes 25.11 02.12. 4 Finding out the root causes 09.12 5 Data analysis 16.12 6 Developing solutions 23.12 30.12 7 C Foreseeing probable resistance 30.12 8 Trial & Implementati on 06.01.20 9 A Regular implementati on 13.01.20 10 Follow up 20.01.20
  15. 15. 20 STEP-3 Tool & Technique used High Level Flow Diagram Detailed Flow Diagram Brainstorming(Round Robbin method)
  16. 16. STEP # 3 : DEFINE THE PROBLEM FREQUENT BREAKDOWN WHILE TRANSFER OF BOTTLES FROM INJECTION STRETCH BLOW MOULDING MACHINE TO ROBO PACKING MACHINE. IMPACT OF THE PROBLEM:  INCREASE IN DOWNTIME  HIGH WASTAGE  LOSS OF PRODUCTION
  17. 17. HIGH LEVEL FLOW DIAGRAM Incoming Raw Material Identification & Inspection Labelling on Boxes IPQC Issue of Materials to Production Processing Packing of FG/SFG Palletization & labelling Loading/ Dispatch Storage at Warehouse WORK AREA
  18. 18. DETAIL FLOW DIAGRAM START Loading Of RM Drying 170°C RM Feed To Barrel Injection Processing Preform Conditioning Blowing Ejection Of Bottles Robot Taking out Conveyor Pick Place Dropping of Bottles in Shutter Cylinder Packing In Polybag END PROBLEMATIC AREA
  19. 19. 24 Using Smart tools following is our objective & target S:-Specific M:-Measurable A:-Achievable R:-Relevant T:-Time-Bound OBJECTIVE: To reduce the breakdown time by 70%. GOAL: Increase the machine efficiency by 80% to 90%. Specific Measurab le Realistic Attainable Time Bound S M A R T
  20. 20. STEP-4 CUSTOMER SATISFACTION PDCA Cycle Tool & Technique used : Data Collection
  21. 21. What is the problem ? Frequent breakdown of Robo packing machine Where it is happening ? While bottle packing When it is occurring ? While ejection and transfer of bottles. Who is Effected ? Production and Customers How it is analyzed ? By studying the existing process and suggesting suitable remedy 4W & 1H Analysis STEP#4 ANALYSE THE PROBLEM
  22. 22. Packing machine break down data on monthly basis is collected from May-2019 to October-2019 STEP#4 ANALYSE THE PROBLEM Sl No. MONTH PROUCTION(qty) RUNNING (hrs) BREAK DOWN (hrs) BREAKDOWN COST/- 1 May-19 30,98,688 412 34.8 2,61,453.9 2 June-19 18,33,216 244 15.3 1,14,949.6 3 July-19 6,50,496 87 16.2 1,21,711.3 4 August-19 29,78,304 396 24.1 1,81,064.3 5 September-19 10,42,944 139 9.0 67,617.4 6 October-19 15,96,672 213 60.1 4,51,533.9 TOTAL 1,12,00,320 1,491 159.5 11,98,330.4 AERAGE/MONTH 18,66,720 248 27 1,99,722
  23. 23. STEP-4 ANALYSE THE PROBLEM Pictorial presentation of data through Stratification 412 244 87 396 139 213 34.8 15.3 16.2 24.1 9.0 60.1 0 50 100 150 200 250 300 350 400 450 May-19 Jun-19 Jul-19 Aug-19 Sep-19 Oct-19 No of Hrs. Breakdown analysis of Robo-packing machine RUNNING (hrs) BREAK DOWN (hrs) OBJECTIVE: To reduce the breakdown time by 70%. GOAL: Increase the machine efficiency by 80% to 90%.
  24. 24. STEP-5 IDENTIFICATION OF CAUSES Tool & Technique used : Brainstorming & Dispersion Analysis Type: Cause and Effect Diagram
  25. 25. Through brainstorming method all possible causes identified by the members and potential members S.NO CAUSE SUGGESTED BY 1 Index pockets failure Sousheel 2 Bottle conveying issue Bramham 3 Bag sealing issue Praveen 4 Bottle pick and place issue Swara Madhuri 5 Operator negligence Pavan 6 Delay in resolving breakdown Jyothi 7 Out dated preventive Maintenance checklist Ajay 8 Wrong operation of machine Swara Madhuri 9 Lack of spares Sousheel 10 Machine Programming issue Jyothi 11 Poor quality of index pockets Praveen 12 Sensor failure Bramham IDENTIFICATION OF CAUSES
  26. 26. CAUSE & EFFECT DIAGRAM Frequent breakdown of Robo-packing machine METHOD MATERIAL MACHINE MAN Lack of knowledge Not trained Operator negligence Index pockets failure Maintenance person busy Delay in procuring spares Poor quality of index pockets Due to bottles getting jammed Machine Programming issue Lack of spares Homing done incorrectly Manufacturing defect Bag sensor issue Delay in resolving breakdown Wrong operation Of machine Out dated preventive Maintenance checklist Sensor failure Incorrect adjustment Bag sealing issue Bottle conveying issue Failure of conveyor Conveyor belt alignment issue Bottle pick and place issue Motor and shaft coupling failure take out operation Bearing failure
  27. 27. STEP-6 FINDING OUT ROOT CAUSES Tool & Technique used : Validation of causes through 3W & 1H Analysis
  28. 28. ALL PRABABLE CAUSES CATEGORISED FOR FURTHER VALIDATION 33 MAIN CAUSE SUB CAUSE SUB-SUB CAUSE Index Pockets Failure Due To Failure Of Take Out Operation Due To Failure Of Take Out Operation Bottle Conveying Issue Failure Of Conveyor Conveyor Belt Alignment Issue Bag Sealing Issue Bag Cutting Sensor Problem Operator Negligence Lack Of Knowledge Delay In Resolving Breakdown Maintenance Person Busy Poor Quality Of Index Pockets Manufacturing Defects Sensor Failure Incorrect Adjustment Out Dated Preventive Maintenance Check List Lack Of Spares Dealy In Procuring Spares Machine Programming Issue Homing Done Incorrectly Wrong Operation Of Mahicne Machine Side Issues Material Side Issues Method Side Issues Manpower Side Issues
  29. 29. Frequent breakdown of Robo-packing machine MACHINE Index pockets failure Due to bottles getting jammed Bag sensor issue Bag sealing issue Bottle conveying issue Failure of conveyor Conveyor belt alignment issue Bottle pick and place issue Motor and shaft coupling failure Due to failure of take out operation Bearing failure Sl.no What Where Why How Validation 1 Motor and shaft coupling failure Machine High load Slipping of grub screws Valid 2 Index pockets failure Machine Due to bottles getting jammed Due to failure of take out operation Valid 3 Bottle Conveying Issue Machine Conveyor belt alignment issue Bearing failure Not Valid 4 Bag Sealing Issue Machine Bag Sensor issue sensor failure Valid VALIDATION OF CAUSES THROUGH 3W&1H
  30. 30. Frequent breakdown of Robo-packing machine MAN Lack of knowledge Not trained Operator negligence Maintenance person busy Delay in resolving breakdown Sl.no What Where Why How Validation 1 Operator negligence During working Lack of knowledge Not trained Not Valid 2 Delay in resolving breakdown Machine Maintenance person busy Maintenance person is attending other breakdown Not valid VALIDATION OF CAUSES THROUGH 3W&1H
  31. 31. Frequent breakdown of Robo-packing machine METHOD Delay in procuring spares Machine Programming issue Lack of spares Homing done incorrectly Wrong operation Of machine Out dated preventive Maintenance checklist Sl.no What Where Why How Validation 1 Lack of spares Machine Imported Delay in procuring spares Not Valid 2 Machine Programming Issue Machine Program error Homing Done incorrectly Not Valid 3 Out dated Preventive Maintenance Checklist Machine Delay in Preventive Maintenance Maintenance of machine is not done on regular basis. Not Valid VALIDATION OF CAUSES THROUGH 3W&1H
  32. 32. Frequent breakdown of Robo-packing machine MATERIAL Poor quality of index pockets Manufacturing defect Sensor failure Incorrect adjustment Sl.no What Where Why How Validation 1 Sensor failure Machine Incorrect adjustment It is not transmitting signal to the electronic control module. Valid 2 Poor Quality of Index pockets Machine Manufacturing defect Thickness of the pockets is less Valid VALIDATION OF CAUSES THROUGH 3W&1H
  33. 33. IMAGES OF MAIN PROBABLE ROOT CAUSES Failure Of Take Out Operation Bottle conveying issue Motor and shaft coupling failure
  34. 34. 39 STEP-7 Tool & Technique used : Data Collection & Pareto Diagram
  35. 35. PARETO DIAGRAM STEP # 7 : DATA ANALYSIS S.No Root cause (hrs.) Cum. % To total Cum.% 1 Take out unit bottle dropping 125 125 78.37 78.37 2 Bottle counting sensor not working 20.5 145.5 12.85 91.22 3 Bag sensor 11 156.5 6.90 98.12 4 Bottle conveying problem 3 159.5 1.88 100.00 Total 159.5 Data collected on possible root causes from 9th to 16th December-2019
  36. 36. PARETO DIAGRAM 125 20.5 11 3 78.37 91.22 98.12 100.00 0.00 20.00 40.00 60.00 80.00 100.00 0 20 40 60 80 100 120 140 Take out unit bottle dropping Bottle counting sensor not working Bag sensor Bottle conveying problem Root Causes Pareto Diagram No of Hrs.. Cum .% STEP # 7 : DATA ANALYSIS PRIORITIZATION OF VITAL FEW FROM THE USEFUL MANY
  37. 37. Tool & Technique used : Brain storming ( Round Robin Method ) We have involved potential members for developing solutions along with our QC Members STEP NO.8
  38. 38. Possible Solution-1: Sensors DEVELOPING SOLUTIONS Root Cause Possible Solution-1 Advantage Disadvantage Validation Take Out unit Bottle Dropping Sensor Placed On Shutter Cylinder Minimize the breakdown, Double Shot Issue is erased. Nil Accepted All our Ektha Quality Circle members through brainstorming developed solutions Without Sensors Sensors Placed On Shutter Cylinder
  39. 39. Possible Solution-2: Installation Of Vibrators DEVELOPING SOLUTIONS Root Cause Possible Solution-2 Advantage Disadvantage Validation Take Out unit Bottle Dropping Issue Installation of Vibrator Minimize the Double Shot Issue, No damage of bottle, reduces the rejection. Nil Accepted BEFORE AFTER
  40. 40. DEVELOPING SOLUTIONS Over view of Vibrators Installation of Vibrator for bottle conveying issue
  41. 41. Possible Solution-3: Rack And Pinion Mechanism DEVELOPING SOLUTIONS Root Cause Possible Solution-3 Advantage Disadvantage Validation Take Out unit Bottle Dropping Issue Replaced belt conveyor with rack and pinion mechanism Reduces breakdown for slippage of belt. Nil Accepted BEFORE-Timer belt pulley mechanism AFTER-Rack and pinion mechanism
  42. 42. STEP-9 FORESEEING PROBABLE RESISTANCE CUSTOMER SATISFACTION PDCA Cycle Tool & Technique used : Brainstorming ( Round Robin Method ) Dr. EDWARDS DEMING
  43. 43. STEP#9 FORESEEING PROBABLE RESISTANCE After developing solutions we explained about our project to our HOD & Colleagues. We got some resistance from below mentioned departments Root Cause Possible Solution Department Resistance Step To Overcome Take Out unit Bottle Dropping Issue. Sensor Placed On Shutter Cylinder Maintenance Involved high project cost Breakdown cost is higher than project cost. Installation of Vibrator Production High noise level Noise level is within tolerance limit(<85db) Replaced belt conveyor with rack and pinion mechanism Maintenance Involved high project cost Implementing rack and pinion for permanent solution Need to replace good quantity of Index Pockets Maintenance Already procuring from OEM
  44. 44. STEP-10 TRIAL IMPLEMENTATION AND CHECK PERFORMANCE Tool & Technique used : Data Collection ( Measurable data) and Graph
  45. 45. Approval Note for Trial Implementation Dated: 06.01.2020
  46. 46. TRIAL IMPLEMENTATION AND CHECK PERFORMANCE After development of above solutions we have done Trial from 06.01.2020 to 22.01.2020 and obtained acceptable results. SI No. Date PROUCTION (qty) RUNNING (hrs.) BREAK DOWN (hrs.) BREAK DOWN (%) 1 06.01.2020 82,909 11.0 0.3 2.7 2 07.01.2020 1,41,577 18.8 1.8 9.6 3 08.01.2020 1,17,650 15.7 0.5 3.2 4 09.01.2020 1,09,327 14.6 2.2 15.1 5 10-01-2020 1,76,805 23.5 1.0 4.2 6 11-01-2020 1,51,488 20.2 1.3 6.4 7 12-01-2020 1,49,233 19.9 1.5 7.6 8 13-01-2020 1,29,096 17.2 5.6 32.6 10 15-01-2020 1,46,904 19.6 3.8 19.4 11 16-01-2020 1,47,744 19.7 4.9 24.9 12 17-01-2020 1,42,608 19.0 5.1 26.9 13 18-01-2020 1,15,776 15.4 0.6 3.9 14 19-01-2020 1,61,785 21.5 1.0 4.6 15 20-01-2020 1,73,163 23.0 0.8 3.5 16 21-01-2020 35,905 4.8 0.2 4.2 17 22-01-2020 65,681 8.7 0.8 9.2 Note:: Trial not conducted on 14th January-2020 due to Festival holiday
  47. 47. Trend of Trial Implementation and Check Performance shown in graph 2.7 9.6 3.2 7.4 4.2 6.4 7.6 8.0 7.9 10.2 8.6 3.9 4.6 3.5 4.2 9.2 0.0 2.0 4.0 6.0 8.0 10.0 12.0 Break down % Trial Implementation trend Trial period from 06.01.2020 to 22.01..2020
  48. 48. Before and after comparison data of break down 2.7 9.6 3.2 7.4 4.2 6.4 7.6 8.0 7.9 10.2 8.6 3.9 4.6 3.5 4.2 9.2 0.0 2.0 4.0 6.0 8.0 10.0 12.0 Break down % Trial Implementation trend Trial period from 06.01.2020 to 22.01..2020 20.2 25.4 21.0 32.0 28.0 25.6 0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 1 2 3 4 5 6 Break down percentage Before project period January-19 to June-19 Month
  49. 49. STEP-11 REGULAR IMPLEMENTATION PDCA Cycle Tool & Technique used : Data Collection ( Measurable Type ) and Graph
  50. 50. Approval Note for Regular Implementation Dated: 23.01.2020
  51. 51. Month wise data trend Regular implementation effected from 23.01.2020 SI No. MONTH RUNNING (hrs) BREAK DOWN (hrs) BREAK DOWN (%) 1 Jan-20 414 10.4 2.5 2 Feb-20 247 5.6 2.3 3 May-20 341 15.6 2.8 4 Jun-20 291 6.8 2.3 5 Jul-20 309 18.3 2.3 6 Aug-20 175 7.3 3.1 7 Sep-20 490 35.8 2.2 Data period from January to September-2020 Note: During lock down also we operate our operation due to our organization under special category
  52. 52. Data period from January to September-2020 2.5 2.3 2.8 2.3 2.3 3.1 2.2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Jan-20 Feb-20 Mar-20 Apr-20 May-20 Jun-20 Jul-20 Aug-20 Sep-20 BREAK DOWN (%) Note: During lock down also we operate our operation due to our organization under special category S No. Average Breakdown before modification(%) Average breakdown after modification (%) Avg. reduction in breakdown (%) 1 12.4 4 8.4
  53. 53. STANDARDIZATION EFFECTED ON 01.02.2020 & BELOW IS REVISED ON MAY-2020 All developed solution included in the Work instructions anf Check list and conducted training for all our operators working in this process
  54. 54. STEP-12 FOLLOW UPAND REVIEW Tool & Technique used : Data Collection with Check list
  55. 55. Frequency of Review & Result All the Members of EKTHA decided to share responsibilities for follow up & review. Review on 1st Monday every month FOLLOW UP AND REVIEW • Break Down Analysis
  56. 56. FORMAT FOR BREAKDOWN REPORT ON THE DAILY BASIS
  57. 57. Breakdown analysis of Robo-packing machine February -2020 to September-2020
  58. 58. INVESTMENT FOR TAKE OUT ERROR OF ROBO PACKING MACHINE SI NO. INVESTMENT DESCRIPTION AMOUNT (RS.) 1 Photo electric sensors(x3) and reflectors(x3) Rs. 15,000/- 2 Vibrator(x2) Rs. 12,000/- 3 Rack And Pinion(x1) Rs. 18,000/- Total Investment Rs. 45,000/- Due to the modification done to Robo-packing machine for every 100 hours of production Rs. 63109/- is saved by preventing production loss per month Grand savings per year is 757308/- TANGIBLE BENEFITS
  59. 59. Teamwork Self confidence Mutual development Job satisfaction Technical knowledge improved Communication skills developed Motivation INTANGIBLE BENEFITS
  60. 60. PLANNING MILESTONE CHART Quality Circle name : EKTHA Dept. : PRODUCTION Facilitator : SOUSHEEL Project: PRODUCTION LOSS DUE TO BREAKDOWN OF ROBO-PACKING MACHINE Project: PRODUCTION LOSS DUE TO BREAKDOWN OF ROBO-PACKING MACHINE Members: BRAHMAM (Leader), SWARA MADHURI (Dy.Leader) Project No: 1 Project Start Date: 04.11.2019 and Completed on 20.01.2020 Meeting day: Monday Time: 02:30PM-03:30PM No.of projects completed : 1 S.No PDCA Activity 1 2 3 4 5 6 7 8 9 10 11 12 Cycle WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK WEEK 1 P Defining the problem 04.11 11.11 04.11 11.11 2 D Analyzing the problem 18.11 18.11 3 Identifying the causes 25.11 02.12. 25.11 02.12. 4 Finding out the root causes 09.12 09.12 5 Data analysis 16.12 16.12 6 Developing solutions 23.12 30.12 23.12 30.12 7 C Foreseeing probable resistance 30.12 30.12 8 Trial & Implementati on 06.01.20 06.01.20 13.01.20 9 A Regular implementati on 13.01.20 13.01.20 10 Follow up 20.01.20 20.01.20 Note: Trial Implementation take 16 days instead of 7 days but we have completed our project as per time line
  61. 61. PDCA Cycle Graph Cause and effect diagram Brain storming Flow Diagram Pareto Diagram Data collection Stratification
  62. 62. Our senior management who has encouraged Q.C. movement in our organization which directly helped us to develop our personality and other department colleagues for helping us to complete our case study. Feedback / Suggestions from the Honorable Judges are very valuable to us. Our Special thanks to QCFI, who is instrumental for QC movement in our organization, which is helping both self and organization.

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