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Tytuł artykułu

Study of Parameters Influencing the Production and Improvement of the Launch System in a Production Department: Case Study in the Clothing Industry in Tunisia

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study was carried out in a clothing company to determine the parameters that influence the decline in production. The results showed that the parameter "Machine failures" had a 34.6% effect on production, and "lack of versatility" 19.7%, while the parameter "heavy launch" had an effect of 17.1%, "lack of supplies" 9%, touch-ups 3%, and "lack of cut parts" 2%. Indeed, the application of lean and six sigma tools and especially the D.M.A.I.C and TPM methods are two tools that improve efficiency and productivity in a production workshop. Thus, a grid was developed to monitor and maintain the effectiveness of improvement actions and for the continuity of the spirit of improvement within the production department without forgetting that teamwork makes it possible to improve the result.
Słowa kluczowe
Rocznik
Strony
4--10
Opis fizyczny
Bibliogr. 34 poz., tab.
Twórcy
autor
  • University of Monastir, Textile Engineering Laboratory of ISET Ksar Hellel, 5070, Monastir, Tunisia
autor
  • University of Monastir, Textile Engineering Laboratory of ISET Ksar Hellel, 5070, Monastir, Tunisia
Bibliografia
  • 1. Lakhal A, Sejri N, Chaabouni Y, Jaafar F, Cheikhrouhou M. Elaboration of a Rest Index for a Sewing Post in a Clothing Industry. Journal of Industria Textila 2019; 70 (5): 430-434.
  • 2. Kumbhar SK, Niranjan MR, and Satpute ST. Assembly Line Production Improvement by Optimization of Cycle Time. International Journal of Mechanical And Production Engineering 2014; 2 (8): 29-33.
  • 3. Cao Y. Long-Distance Procurement Planning in Global Sourcing. Chemical and Process Engineering. Ecole Centrale Paris; 2015. Available from: https://tel.archives-ouvertes.fr/tel-01154871/document.
  • 4. Donohue KL. Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes. Management Science 2000; 46 (11): 1397-1411.
  • 5. Vollmann TE, Berry WL, Whybark DC. Manufacturing Planning and Control Systems. Irwin: Boston, 1997.
  • 6. Hildegunn KN. The Global Textile and Clothing Industry Post the Agreement on Textiles and Clothing. Geneva: Switzerland, 2004. Available from: https://www.researchgate.net/publication/255601778.
  • 7. Datta A, Christoffersen S. Production Costs, Scale Economies and Technical Change in U.S. Textile and Apparel Industries. Atlantic Economic Journal 2005; 33 (2): 201-213.
  • 8. Magdalena K, Alfons OL. An international comparison of productivity change in the textile and clothing industry: a bootstrapped Malmquist index approach. Empirical Economics 2015; 48 (4):1499-1523.
  • 9. Zhao Y, Xiaoyun Xu, Haidong Li, Yanni L X. Stochastic Customer Order Scheduling with Setup Times to Minimize Expected Cycle Time. International Journal of Production Research 2018; 56 (7): 2684-2706.
  • 10. David Damand, Marc Barth. Vers un outil d’evaluation et de diagnostic de la performance en planification de la chaine logistique. Paper presented at ICMOS 2012. Proceedings of 9th congress of International Conference on Modeling, Optimization & SIMulation ; 2012 Jun 6-8, Bordeaux, France ; HAL Id: hal-00728641. Available from: https://hal.archives-ouvertes.fr/hal-00728641.
  • 11. Hnaien F, Delorme X, Dolgui A. Multiobjective Optimization for Inventory Control in Twolevel Assembly Systems Under Uncertainty of Lead Times. Computers & Operations Research 2010; 37 (11): 1835-1843.
  • 12. Matthew P, Pepper, Trevor A. Spedding, The Evolution of Lean Six Sigma. The International Journal of Quality and Reliability Management 2010; 27 (2): 138-155.
  • 13. Roger G, Kevin L, Charles L, Adrian S. Six Sigma: Definition and Underlying Theory. Journal of Operations Management 2008; 26(4): 536-554.
  • 14. Lotfi Azzabi. Contribution a l’amelioration d’un systeme de production : integration de la methode six sigma et approche multicritere d’aide a la decision dans sidelec internationale. Méthodes et statistiques. Université d’Angers; 2010. Available from https://tel.archives-ouvertes.fr/tel-00730543/.
  • 15. Soković M, Pavletić D, Krulčić E. Six Sigma Process Improvements in Automotive Parts Production. Journal of Industrial Management and Organization 2006; 19(1): 96-102.
  • 16. Brans JP, Vincke PH, Mareschal B. How to Select and How to Rank Projects: The PROMETHEE Methods. European Journal of Operational Research 1986; 24(2): 228-238.
  • 17. Chan FTS, Lau HCW, Ip RWL, Chan HK, Kong S. Implementation of Total Productive Maintenance, A case study. International Journal of Production Economics 2005; 95(1): 71-94.
  • 18. GOGUE F. La maîtrise de la qualité. Ed. Economica: Paris; 1991.
  • 19. Sarath Chandran. TPM Implementation Approach. Journal of Industrial Engineering and Management 2015. Available from: https://www.researchgate.net/publication/279059214.
  • 20. Baluch Nazim, Abdullah Che Sobry, Mohtar Shahimi. TPM and lean maintenance, A critical review. Interdisciplinary Journal of Contemporary Research in Business 2012; 4 (2): 850-857.
  • 21. Senem Kursun Bahadir. Assembly Line Balancing in Garment Production by Simulation [https://www.intechopen.com/books/assembly-line-theory-and-practice/model-sequencing-andassembly-line-balancing-in-garment-production-by-simulation-worker-transfer-syst]. No date [cited 2011 August 17]. Available from. https://www.intechopen.com/books/assembly-line-theory-and-practice/modelsequencing-andassembly-line-balancing-in-garment-production-by-simulation-worker-transfer-syst.
  • 22. Rezaul HS, Kazi AUZ, Azizur R. Productivity Improvement through Line Balancing in Apparel Industries. Paper presented at ICIEOM 2010. Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management. 2010 January 9-10, Dhaka, Bangladesh, 102-110. Available from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.645.472&rep=rep1&type=pdf.
  • 23. Bobby John, Jenson Joseph. Analysis and Simulation of Factory Layout using ARENA. International Journal of Scientific and Research Publications 2013; 3(2) Available from http://citese-erx.ist.psu.edu/viewdoc/download?doi=10.1.1.299.7406&rep=rep1&type=pdf.
  • 24. Lakhal A, Sejri N, Jaafar F, Chaabouni,Y, Cheikhrouhou M. Influence of Environmental Factors on the Working Rhythmin A Clothing Industry. Industria Textila 2021; 72(1): 108-113.
  • 25. Naqvi SA, Fahad M, Atir M, Zubair M, Shehzad MM. Productivity Improvement of a Manufacturing Facility Using Systematic Layout Planning. Cogent Engineering 2016; 3(1): 1-13.
  • 26. Chen Y. A Non-Radial Malmquist Productivity Index with an Illustrative Application to Chinese Major Industries. International Journal of Production Economics 2003; 83 (1): 27-35.
  • 27. Goncharuk AG. Impact of Political Changes on Industrial Efficiency: A Case of Ukraine. Journal of Economic Studies 2007; 34 (4): 324-340.
  • 28. Ayed MR, Goaied M. Efficiency Measure from Dynamic Stochastic Production Frontier: Application to Tunisian Textile, Clothing, and Leather Industries. Econometric Reviews 2003; 22 (1): 93-111.
  • 29. Kumar P, Shetty R, Rodrigues LR. Overall Equipment Efficiency and Productivity of a Newspaper Printing Machine of a Daily Newspaper Company – A Case Study. International Journal of Engineering Practical Research 2014; 3(1): 20-27.
  • 30. Saravanan J, Thakkar J. An Integrated Approach for Lead Time Reduction of Military Aircraft Major Overhaul: A Case of ABC Company. International Journal of Quality & Reliability Management 2018; 35 (1): 2-33.
  • 31. Maxime Claisse. Production Planning under Uncertainties and Forecasts Update [https://tel.archives-ouvertes.fr/tel-01939425]. C2020[updated 2018 Nov 29; cited 2020 Sep 29]. Available from https://tel.archives-ouvertes.fr/tel01939425.
  • 32. Albey E, Norouzi A, Kempf K G, Uzsoy R. Demand Modeling with Forecast Evolution: An Application to Production Planning. IEEE Transactions on Semiconductor Manufacturing 2015, 28(3):374-384.
  • 33. Hayes RH, Wheelwright SC. Restoring Our Competitive Edge. Competing Through Manufacturing: New York; John Wiley & Sons; 1984.
  • 34. Marcos Buestán, Hendrik Van Landeghem, María López. A Framework for the Selection or Design of Production Planning and Control Systems: A Case of Application. Paper presented at LACCEI 2019. Proceedings of 17th congress of International Multi-Conference for Engineering, Education, and Technology: Industry, Innovation, And Infrastructure for Sustainable Cities and Communities: 2019 July 24-26, Jamaica. Available from http://dx.doi.org/10.18687/LACCEI2019.1.1.276.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8487d65c-cdcc-4f5c-a357-0d5ccf28003e
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