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A STOCHASTIC MODEL TO DETERMINE THE ELEMENTS OF PRODUCTION CYCLE TIME IN TEXTILE INDUSTRY IN SERBIA

Year 2015, Volume: 25 Issue: 3, 194 - 200, 01.12.2015

Abstract

This paper presents a model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. Based on experimental investigations in this paper has been proved that in the practice of small and medium-sized enterprises with serial production it is possible to design and apply a very simple but accurate enough stochastic model to determine the elements of working cycle time and in this way optimize the duration of production cycle time. Proposed stochastic model uses mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process. It is proposed that further investigations should focus on the application and testing of the model in other types of production, for example, assembly and the like and also at the problem of reducing the elements of transport time. The model was applied and involved a larger number of Serbian enterprises. The results obtained for two characteristic textile enterprises will be presented in this paper

References

  • 1. Agrawal A., Minis I. And Nagi R., 2000, Cycle time reduction by improved MRP-based production planning, International Journal Product Research., Vol. 38, No. 18, 2000, pp 4823-4841.
  • 2. Barber, K D; Dewhurstz, F; Pritchard, M.C. 2006, Cost allocation for business process simulation models, Proceedings of the Institution of Mechanical Engineers; 220, B5; pp.695-706
  • 3. Barbiroli G., Raggi A., 2003, A method for evaluating the overall technical and economic performance of environmental innovations in production cycles, Journal of Cleaner Production ,Vol.11,No. 4, pp 365-374.
  • 4. Barnes, R., Work Sampling, 2 nd edn, New York : Wiley, 1957.pp. 5.
  • 5. Čala I.,Klarin M.,Radojčić M., 2011, Development of a Stohastic model for determing the elements of production cycle time and their optimization for serial production in Metal processing industry and recycling processes, I International Symposium Engineering Management and Competitiveness, Tehnical faculty “M. Pupin”, Zrenjanin, Serbia, pp. 21-25
  • 6. Ćoćkalo, D., Stanisavljev, S., Đerđević, D., Klarin, M., Brkić, A., 2014, Determination of the Elements of Production Cycle Time in Serial Production: the Serbian Case, Transactions of the Canadian Society for Mechanical Engineering, Vol. 38, No 3, pp. 289-304.
  • 7. Elnekave M., Gilad J.,2006, Rapid video-based analysis for advanced work measurment, International Journal of Production research ,Vol.44,Nо. 2, 2006., pp 271-290.
  • 8. Giri B., C.,Yun W.,Y., 2005, Optimal lot sizing for an unreliable production system under partial backlogging and at most two failures in a production cycle, International Journal Production Economics ,Vol.95, No. 2, pp 229-243.
  • 9. Klarin M.,M., Cvijanović M.,J., Spasojević-Brkić K.,V., 2000, The shift level of the utilization of capacity as the stochastic variable in work sampling, International Journal Product Research., Vol.38, No 12,pp 89.
  • 10. Klarin M.,M., Milanović D.,D., Spasojević-Brkić K.,V.,Misita M.,Jovanović A. 2010, A method to assess capacity utilization in short cycle functional layouts, Proc Instn Mechanical Eng., Part E, Vol.224, No E1, ,pp. 49-58.
  • 11. Kodek D., M., Krisper M., 2004, Optimal algorithm for minimizing production cycle time of a printed circuit board assembly line, International Journal Product Research., Vol 42, No 23, pp 5031-5048.
  • 12. Kun-Jen Chung, Kno-Lung Hon, Show-Ping Lan,2009, The optimal production cycle time in an integrated production –inventory model for decaying raw materials, Applied mathematical Modeling, vol.33, pp 1-10,
  • 13. Maynard, H. B., Industrial Engineering Handbook, Pittsburgh, PA: McGraw-Hill, 1971. pp 22.
  • 14. Moder, J.J., 1980, Selection of work sampling observation times – Part I: Stratified sampling. AIIE Transactions, 12 (1), pp 23-31.
  • 15. Richardson, W.J., Eleanor, S.P.,1982, Work Sampling, Handbook of Industrial Engineering, Salvendi G.,editor, New York : Wiley.
  • 16. Tzu-Hsien Lee, 2009, Optimal production run length and maintenance schedule for a deteriorating production system, International Journal Adv.Manut. Technol, Vol.43 No. 9-1,pp 959-963.

ÜRETİM ÇEVRİM ZAMAN ELEMENTLERİNİN SIRBİSTAN TEKSTİL ENDÜSTRİSİNDE BİR STOKASTİK MODEL İLE TESPİTİ

Year 2015, Volume: 25 Issue: 3, 194 - 200, 01.12.2015

Abstract

References

  • 1. Agrawal A., Minis I. And Nagi R., 2000, Cycle time reduction by improved MRP-based production planning, International Journal Product Research., Vol. 38, No. 18, 2000, pp 4823-4841.
  • 2. Barber, K D; Dewhurstz, F; Pritchard, M.C. 2006, Cost allocation for business process simulation models, Proceedings of the Institution of Mechanical Engineers; 220, B5; pp.695-706
  • 3. Barbiroli G., Raggi A., 2003, A method for evaluating the overall technical and economic performance of environmental innovations in production cycles, Journal of Cleaner Production ,Vol.11,No. 4, pp 365-374.
  • 4. Barnes, R., Work Sampling, 2 nd edn, New York : Wiley, 1957.pp. 5.
  • 5. Čala I.,Klarin M.,Radojčić M., 2011, Development of a Stohastic model for determing the elements of production cycle time and their optimization for serial production in Metal processing industry and recycling processes, I International Symposium Engineering Management and Competitiveness, Tehnical faculty “M. Pupin”, Zrenjanin, Serbia, pp. 21-25
  • 6. Ćoćkalo, D., Stanisavljev, S., Đerđević, D., Klarin, M., Brkić, A., 2014, Determination of the Elements of Production Cycle Time in Serial Production: the Serbian Case, Transactions of the Canadian Society for Mechanical Engineering, Vol. 38, No 3, pp. 289-304.
  • 7. Elnekave M., Gilad J.,2006, Rapid video-based analysis for advanced work measurment, International Journal of Production research ,Vol.44,Nо. 2, 2006., pp 271-290.
  • 8. Giri B., C.,Yun W.,Y., 2005, Optimal lot sizing for an unreliable production system under partial backlogging and at most two failures in a production cycle, International Journal Production Economics ,Vol.95, No. 2, pp 229-243.
  • 9. Klarin M.,M., Cvijanović M.,J., Spasojević-Brkić K.,V., 2000, The shift level of the utilization of capacity as the stochastic variable in work sampling, International Journal Product Research., Vol.38, No 12,pp 89.
  • 10. Klarin M.,M., Milanović D.,D., Spasojević-Brkić K.,V.,Misita M.,Jovanović A. 2010, A method to assess capacity utilization in short cycle functional layouts, Proc Instn Mechanical Eng., Part E, Vol.224, No E1, ,pp. 49-58.
  • 11. Kodek D., M., Krisper M., 2004, Optimal algorithm for minimizing production cycle time of a printed circuit board assembly line, International Journal Product Research., Vol 42, No 23, pp 5031-5048.
  • 12. Kun-Jen Chung, Kno-Lung Hon, Show-Ping Lan,2009, The optimal production cycle time in an integrated production –inventory model for decaying raw materials, Applied mathematical Modeling, vol.33, pp 1-10,
  • 13. Maynard, H. B., Industrial Engineering Handbook, Pittsburgh, PA: McGraw-Hill, 1971. pp 22.
  • 14. Moder, J.J., 1980, Selection of work sampling observation times – Part I: Stratified sampling. AIIE Transactions, 12 (1), pp 23-31.
  • 15. Richardson, W.J., Eleanor, S.P.,1982, Work Sampling, Handbook of Industrial Engineering, Salvendi G.,editor, New York : Wiley.
  • 16. Tzu-Hsien Lee, 2009, Optimal production run length and maintenance schedule for a deteriorating production system, International Journal Adv.Manut. Technol, Vol.43 No. 9-1,pp 959-963.
There are 16 citations in total.

Details

Other ID JA89CJ62HN
Journal Section Articles
Authors

Sanja Stanisavljev This is me

Milivoj Klarin This is me

Vesna Spasojević Brkić This is me

Dragan ćoćkalo This is me

Dejan đorđević This is me

Publication Date December 1, 2015
Submission Date December 1, 2015
Published in Issue Year 2015 Volume: 25 Issue: 3

Cite

APA Stanisavljev, S., Klarin, M., Spasojević Brkić, V., ćoćkalo, D., et al. (2015). A STOCHASTIC MODEL TO DETERMINE THE ELEMENTS OF PRODUCTION CYCLE TIME IN TEXTILE INDUSTRY IN SERBIA. Textile and Apparel, 25(3), 194-200.

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