SlideShare ist ein Scribd-Unternehmen logo
1 von 55
The mathematical model for making decision to sell the rubber latex   to reach  the highest return in economics Researchers Raviwan Akarapatima Subongkoch Subhadhirasakun Montira Tangsangasaksri Advisor Mr. Sorachai Saelim Ms. Suphannee Nawasitpaisan
Introduction
Introduction
Objective This project attempts to develop mathematical model in order to help make decisions among selling rubber latex, raw rubber sheet, and rubber scraps with maximum revenue.
Experiments ,[object Object],[object Object],[object Object],[object Object]
1. Producing a rubber sheet Prepare formic acid’s concentration Find Dry Rubber Content (DRC) Find Total Solid Content   (TSC)  Produce a rubber sheet
Finding Dry Rubber Content  (DRC) Spin the rubber latex in order to remove an ammonia Pipette rubber latex 20 mL, weight Drop Formic acid 90% w/v, wait until it hard Weight and find  % DRC   Wash out the acid and bake at 60  0 C   for 6 hours
(Total Solid Content; TSC) Finding Total Solid Content (TSC) Spin the rubber latex in order to remove  an ammonia Pipette rubber latex 20 mL, weight Weight and find  % DRC Bake at 60  0 C   for 6 hours
Producing a rubber sheet Mix rubber latex 6 mL and water 4 mL together in the vessel   Pipette Formic acid 1.50% 0.78 mL  into the vessel  wait until it hard   for 30 minutes
Wash hard rubber, weight, observe  and note  a result Bake the rubber at 60 ° C  Do all experiments again, change formic acid’s  concentration   1.50%, 1.75%, 2.00%,  2.25%, 2.50%, 2.75% and   3.00% respectively  Producing a rubber sheet
2.  Making a questionnaires Part 1   Individual information   such as sex, age, etc. Part 2   The level of contentment of selling raw rubber sheet, rubber latex and rubber scraps test   Part 2.1 Evaluate from generality Part 2.2 Evaluate from some conditions
Part of the Questionnaire
Part of the Questionnaire
Part of the Questionnaire
3. Analyze data from the questionnaire Analyze  frequencies from the questionnaire  Create Regression equation
Creating   Regression Equations Analyze data with Regressing from SPSS program Make and test Hypothesis Find the coefficients of each variable  Create Regression Equations
Making and testing hypothesis ,[object Object],[object Object],[object Object],[object Object],Sig  reject   H 0 Sig >  accept   H 0 
Finding the coefficients of each variable  Use Coefficients table from SPSS program
Creating Regression Equations Find y intercept
Put the coefficients in front of  x n Make an equations like   = a+a 1 x 1 +a 2 x 2 +a 3 x 3 +…+a n x n Creating Regression Equations
4. Analyze the level of contentment Analyze the mean of each item of the questionnaire Substitute x with mean in the equations Compare the level of contentment in chart form
Results Table 1 Dry Rubber Content (DRC ) 41.673  4.164 7.530  0.849 18.067  0.097 After baked Before baked DRC (%) Weight   (g)
Results Table   2   Total Solid Content (TSC) 41.777  0.728 7.570  0.070 18.123  0.324 After baked Before baked TRC (%) Weight   (g)
Results 2.00 % 1.75 % 1.50 % Producing rubber sheet
2.50 % 2.75 % 2.25 % 3.00 % Results
Results 1.   Let the producing time be constant.
1.   Let the producing time be constant. a is convenience. From the equation b is price. c is payment. d is quality of product. e is asset. f is amount of Para latex.
Results 2. Let the price of selling product be constant.
2. Let the price of selling product be constant. a is convenience. From the equation b is time of production. c is payment. d is quality of product. e is asset. f is amount of Para latex.
Results 3.   Let the convenience of product transportation be constant.
3.   Let the convenience of product transportation be constant.   a is price. From the equation b is time of production. c is payment. d is quality of product. e is asset. f is amount of Para latex.
Results 4.   Let the occupational factors are the same.
4.   Let the occupational factors are the same. a is convenience. From the equation b is price. c is time of production . e is quality of product. f is asset. g is amount of Para latex. d is   payment.
Results 5.   Let a number of garden are constant.
5.   Let a number of garden are constant. a is convenience. From the equation b is price. c is time of production . e is quality of product. f is asset. g is amount of Para latex. d is   payment.
Results 6.1   Let Para latex in rainy season is constant.
6.1   Let Para latex in rainy season is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell   other products.
Results 6.2   Let Para latex in winter is constant.
6.2 Let Para latex in winter is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell   other products.
Results 6.3   Let Para latex in summer is constant.
6.3   Let Para latex in summer is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell   other products.
Analyzed Data 1.   Let the producing time be constant.
Analyzed Data 2. Let the price of selling product be constant.
Analyzed Data 3.   Let the convenience of product transportation be constant.
Analyzed Data 4.   Let the occupational factors are the same.
Analyzed Data 5.   Let a number of garden are constant.
Analyzed Data 6.1   Let Para latex in rainy season is constant.
Analyzed Data 6.2   Let Para latex in winter is constant.
Analyzed Data 6.3   Let Para latex in summer is constant.
Conclusion ,[object Object]
Suggestion From   the column charts of satisfaction, mostly of the gardeners of   sample group are   satisfy to sell  “ rubber sheets ” .
Suggestion These sets of equation can be apply in many places that have been planted Para trees ,but the equations may be chanced because their satisfactions are different. (The way to make the equations are follow in above.)
Acknowledgement ,[object Object],[object Object],[object Object]
References กัลยา วานิชย์บัญชา .  การใช้  SPSS for Windows  ในการวิเคราะห์ข้อมูล .  พิมพ์ครั้งที่  5.  กรุงเทพฯ :  โรงพิมพ์ ห้างหุ้นส่วนจำกัด ซี เค แอนด์ เอส โฟโต้สตูดิโอ ,  2545 ต้นยางพารา   [Online].  Available HTTP:  http://www.forest.go.th/Private/best44.htm . ธานินทร์ ศิลป์จารุ .  การวิจัยและวิเคราะห์ข้อมูลทางสถิติด้วย  SPSS .  พิมพ์ครั้งที่  4. กรุงเทพฯ :   บริษัทวี . อินเตอร์ พริ้นท์ ,  2548. ศิริชัย พงษ์วิชัย .  การวิเคราะห์ข้อมูลทางสถิติด้วยคอมพิวเตอร์ .  พิมพ์ครั้งที่  15.  กรุงเทพฯ :   โรงพิมพ์แห่งจุฬาลงกรณ์มหาวิทยาลัย ,  2548. สวนยางพารา   [Online]. Available HTTP:  http://chaosuan.com/modules.php?op= เสาวนีย์ ก่อวุฒิกุลรังษี . 2547.  การผลิตยางธรรมชาติ .  คณะวิทยาศาสตร์และเทคโนโลยี  ภาควิชาเทคโนโลยียางและพอลิเมอร์ มหาวิทยาลัยสงขลานครินทร์
 

Weitere ähnliche Inhalte

Ähnlich wie Present Wiki

Ähnlich wie Present Wiki (20)

Tank
TankTank
Tank
 
13 using powerpoint
13 using powerpoint13 using powerpoint
13 using powerpoint
 
Powerpoint Presentation!
Powerpoint Presentation!Powerpoint Presentation!
Powerpoint Presentation!
 
13 using powerpoint
13 using powerpoint13 using powerpoint
13 using powerpoint
 
Biggie Smalls Essay Paper
Biggie Smalls Essay PaperBiggie Smalls Essay Paper
Biggie Smalls Essay Paper
 
Taller grupal n2_ambas_gonzalez_montenegro (1)
Taller grupal n2_ambas_gonzalez_montenegro (1)Taller grupal n2_ambas_gonzalez_montenegro (1)
Taller grupal n2_ambas_gonzalez_montenegro (1)
 
LINEAR PROGRAMMING
LINEAR PROGRAMMINGLINEAR PROGRAMMING
LINEAR PROGRAMMING
 
Test1
Test1Test1
Test1
 
13-Using_Powerpoint.ppt
13-Using_Powerpoint.ppt13-Using_Powerpoint.ppt
13-Using_Powerpoint.ppt
 
Polymers, Saving Transporters from Gas Explosion, IDM8
Polymers, Saving Transporters from Gas Explosion, IDM8Polymers, Saving Transporters from Gas Explosion, IDM8
Polymers, Saving Transporters from Gas Explosion, IDM8
 
Training Module
Training ModuleTraining Module
Training Module
 
Algebra 1 Honors Chaper 4
Algebra 1 Honors Chaper 4Algebra 1 Honors Chaper 4
Algebra 1 Honors Chaper 4
 
Doe introductionh
Doe introductionhDoe introductionh
Doe introductionh
 
Plastic viscosity(mud properties test)
Plastic viscosity(mud properties test)Plastic viscosity(mud properties test)
Plastic viscosity(mud properties test)
 
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
 
Cte math test_answer_key
Cte math test_answer_keyCte math test_answer_key
Cte math test_answer_key
 
LPP FORMULATION 21 -22.pptx
LPP FORMULATION  21 -22.pptxLPP FORMULATION  21 -22.pptx
LPP FORMULATION 21 -22.pptx
 
How Do I Calculate Substance Values? (for Chemical Analysis & Reporting)
How Do I Calculate Substance Values? (for Chemical Analysis & Reporting)How Do I Calculate Substance Values? (for Chemical Analysis & Reporting)
How Do I Calculate Substance Values? (for Chemical Analysis & Reporting)
 
Limit Definition of Derivatives.pptx
Limit Definition of Derivatives.pptxLimit Definition of Derivatives.pptx
Limit Definition of Derivatives.pptx
 
Finishing Manual Chaity Group.pdf
Finishing Manual Chaity Group.pdfFinishing Manual Chaity Group.pdf
Finishing Manual Chaity Group.pdf
 

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024Manulife - Insurer Innovation Award 2024
Manulife - Insurer Innovation Award 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 

Present Wiki

  • 1. The mathematical model for making decision to sell the rubber latex to reach the highest return in economics Researchers Raviwan Akarapatima Subongkoch Subhadhirasakun Montira Tangsangasaksri Advisor Mr. Sorachai Saelim Ms. Suphannee Nawasitpaisan
  • 4. Objective This project attempts to develop mathematical model in order to help make decisions among selling rubber latex, raw rubber sheet, and rubber scraps with maximum revenue.
  • 5.
  • 6. 1. Producing a rubber sheet Prepare formic acid’s concentration Find Dry Rubber Content (DRC) Find Total Solid Content (TSC) Produce a rubber sheet
  • 7. Finding Dry Rubber Content (DRC) Spin the rubber latex in order to remove an ammonia Pipette rubber latex 20 mL, weight Drop Formic acid 90% w/v, wait until it hard Weight and find % DRC Wash out the acid and bake at 60 0 C for 6 hours
  • 8. (Total Solid Content; TSC) Finding Total Solid Content (TSC) Spin the rubber latex in order to remove an ammonia Pipette rubber latex 20 mL, weight Weight and find % DRC Bake at 60 0 C for 6 hours
  • 9. Producing a rubber sheet Mix rubber latex 6 mL and water 4 mL together in the vessel Pipette Formic acid 1.50% 0.78 mL into the vessel wait until it hard for 30 minutes
  • 10. Wash hard rubber, weight, observe and note a result Bake the rubber at 60 ° C Do all experiments again, change formic acid’s concentration 1.50%, 1.75%, 2.00%, 2.25%, 2.50%, 2.75% and 3.00% respectively Producing a rubber sheet
  • 11. 2. Making a questionnaires Part 1 Individual information such as sex, age, etc. Part 2 The level of contentment of selling raw rubber sheet, rubber latex and rubber scraps test Part 2.1 Evaluate from generality Part 2.2 Evaluate from some conditions
  • 12. Part of the Questionnaire
  • 13. Part of the Questionnaire
  • 14. Part of the Questionnaire
  • 15. 3. Analyze data from the questionnaire Analyze frequencies from the questionnaire Create Regression equation
  • 16. Creating Regression Equations Analyze data with Regressing from SPSS program Make and test Hypothesis Find the coefficients of each variable Create Regression Equations
  • 17.
  • 18. Finding the coefficients of each variable Use Coefficients table from SPSS program
  • 19. Creating Regression Equations Find y intercept
  • 20. Put the coefficients in front of x n Make an equations like = a+a 1 x 1 +a 2 x 2 +a 3 x 3 +…+a n x n Creating Regression Equations
  • 21. 4. Analyze the level of contentment Analyze the mean of each item of the questionnaire Substitute x with mean in the equations Compare the level of contentment in chart form
  • 22. Results Table 1 Dry Rubber Content (DRC ) 41.673  4.164 7.530  0.849 18.067  0.097 After baked Before baked DRC (%) Weight (g)
  • 23. Results Table 2 Total Solid Content (TSC) 41.777  0.728 7.570  0.070 18.123  0.324 After baked Before baked TRC (%) Weight (g)
  • 24. Results 2.00 % 1.75 % 1.50 % Producing rubber sheet
  • 25. 2.50 % 2.75 % 2.25 % 3.00 % Results
  • 26. Results 1. Let the producing time be constant.
  • 27. 1. Let the producing time be constant. a is convenience. From the equation b is price. c is payment. d is quality of product. e is asset. f is amount of Para latex.
  • 28. Results 2. Let the price of selling product be constant.
  • 29. 2. Let the price of selling product be constant. a is convenience. From the equation b is time of production. c is payment. d is quality of product. e is asset. f is amount of Para latex.
  • 30. Results 3. Let the convenience of product transportation be constant.
  • 31. 3. Let the convenience of product transportation be constant. a is price. From the equation b is time of production. c is payment. d is quality of product. e is asset. f is amount of Para latex.
  • 32. Results 4. Let the occupational factors are the same.
  • 33. 4. Let the occupational factors are the same. a is convenience. From the equation b is price. c is time of production . e is quality of product. f is asset. g is amount of Para latex. d is payment.
  • 34. Results 5. Let a number of garden are constant.
  • 35. 5. Let a number of garden are constant. a is convenience. From the equation b is price. c is time of production . e is quality of product. f is asset. g is amount of Para latex. d is payment.
  • 36. Results 6.1 Let Para latex in rainy season is constant.
  • 37. 6.1 Let Para latex in rainy season is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell other products.
  • 38. Results 6.2 Let Para latex in winter is constant.
  • 39. 6.2 Let Para latex in winter is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell other products.
  • 40. Results 6.3 Let Para latex in summer is constant.
  • 41. 6.3 Let Para latex in summer is constant. a is price. From the equation b is convenience. c is investment. d is amount of Para latex. e is production. f is that It’s not an optional to sell other products.
  • 42. Analyzed Data 1. Let the producing time be constant.
  • 43. Analyzed Data 2. Let the price of selling product be constant.
  • 44. Analyzed Data 3. Let the convenience of product transportation be constant.
  • 45. Analyzed Data 4. Let the occupational factors are the same.
  • 46. Analyzed Data 5. Let a number of garden are constant.
  • 47. Analyzed Data 6.1 Let Para latex in rainy season is constant.
  • 48. Analyzed Data 6.2 Let Para latex in winter is constant.
  • 49. Analyzed Data 6.3 Let Para latex in summer is constant.
  • 50.
  • 51. Suggestion From the column charts of satisfaction, mostly of the gardeners of sample group are satisfy to sell “ rubber sheets ” .
  • 52. Suggestion These sets of equation can be apply in many places that have been planted Para trees ,but the equations may be chanced because their satisfactions are different. (The way to make the equations are follow in above.)
  • 53.
  • 54. References กัลยา วานิชย์บัญชา . การใช้ SPSS for Windows ในการวิเคราะห์ข้อมูล . พิมพ์ครั้งที่ 5. กรุงเทพฯ : โรงพิมพ์ ห้างหุ้นส่วนจำกัด ซี เค แอนด์ เอส โฟโต้สตูดิโอ , 2545 ต้นยางพารา [Online]. Available HTTP: http://www.forest.go.th/Private/best44.htm . ธานินทร์ ศิลป์จารุ . การวิจัยและวิเคราะห์ข้อมูลทางสถิติด้วย SPSS . พิมพ์ครั้งที่ 4. กรุงเทพฯ : บริษัทวี . อินเตอร์ พริ้นท์ , 2548. ศิริชัย พงษ์วิชัย . การวิเคราะห์ข้อมูลทางสถิติด้วยคอมพิวเตอร์ . พิมพ์ครั้งที่ 15. กรุงเทพฯ : โรงพิมพ์แห่งจุฬาลงกรณ์มหาวิทยาลัย , 2548. สวนยางพารา [Online]. Available HTTP: http://chaosuan.com/modules.php?op= เสาวนีย์ ก่อวุฒิกุลรังษี . 2547. การผลิตยางธรรมชาติ . คณะวิทยาศาสตร์และเทคโนโลยี ภาควิชาเทคโนโลยียางและพอลิเมอร์ มหาวิทยาลัยสงขลานครินทร์
  • 55.