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Simulation Analysis of the Effect of Working Method Differences on Production Efficiency in the Apparel Industry

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this study, simulation application on a shirt production line was studied. In order to determine which of the two different working methods, with or without yarn clearing, is more efficient, the duration of the operations was taken and work flows created by applying a work and time study. Then, the theoretical distributions of the collected data were analyzed and the distributions of the data obtained transferred to the simulation model. After the model was established, it was run and its validity tested by comparing it with the real system. A new algorithm was developed that can be applied together with simulation to determine the most suitable production method.
Rocznik
Strony
21--28
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • Tekirdag Namik Kemal University, Textile Engineering Department, Tekirdag, Turkey
  • Devanlay-Eren Retail and Tekstil A.Ş., Tekirdag, Turkey
Bibliografia
  • 1. Cocks S., Harlock S. Computer-aided Simulation of Production in the Sewing Room of a Clothing Factory. J Text Inst. 1989;80(s):455-463.,
  • 2. Rajakumar S., Arunachalam V., Selladurai V. Simulation of workflow balancing in assembly shopfloor operations. J Manuf Technol Manag. 2005;16:265-281.
  • 3. Zielinski J., Czacherska M. Optimisation of the Work of a sewing team by using simulation. Fibres&Textiles in Eastern Europe. 2004;12:78-83.
  • 4. Ünal C., Tunalı S., Güner M. Evaluation of Alternative Line Configurations in Apparel. Textile Res J. 2008;79:908-916.
  • 5. Ünal C., Kaya A., Erdoğan M., Güngör A. Improving the Apparel Production Process by Using Simulation Modelling with a Waves Algorithm. FIBRES & TEXTILES in Eastern Europe 2021; 29, 4(148): 32-38.
  • 6. Kurşun S., Kalaoğlu F. Simulation of Production Line Balancing in Apparel Manufacturing. Fibers&Textiles in Eastern Europe. 2009;17:68-71.
  • 7. Kalaoğlu F., Saricam C. Analysis of Modular Manufacturing system in Clothing Industry by Using Simulation. FIBRES & TEXTILES in Eastern Europe 2007; 3(62): 93-96.
  • 8. Caputo A.C., Palumbo M. Manufacturing reinsourcing in the textile industry: A case study. Ind Manag Data Syst. 2005;105(2):193-207.
  • 9. Gebrehiwet T.B., Odhuno A.M. Improving the Productivity of the Sewing Section through Line Balancing Techniques: A Case Study of Almeda Garment Factory. Int J Sci Basic Appl Res. 2017;36(1):318- 328.
  • 10. Nabi F., Mahmud R., Islam M. Improving Sewing Section Efficiency through Utilization of Worker Capacity by Time Study Technique. Int J Textile Sci. 2015;4(1):1-8.
  • 11. Li H., Kong F, Kong L., Chen T. Evaluating sewing operation complexity and its influence on sewing operation quality. Heliyon. 2023;9(3):e13867.
  • 12. Lee S., Rho S., Lim D., Jeong W. A basic study on establishing the automatic sewing process according to textile properties. Processes. 2021;9(7):1206.
  • 13. Habib A., Ahmed S., Khatun M.T., Babaarslan O. Applying lean tools to improve the sewing line efficiency: a case study. Asian J Econ Bus Account. 2023;23(16):157-169.
  • 14. Law A.M., Kelton W.D. Simulation Modeling and Analysis. McGraw-Hill Publishing; 1991:281.
  • 15. Erkut H. Yönetimde Simülasyon Yaklaşımı. 2. baskı. İstanbul: İrfan Yayımcılık; 1991.
  • 16. Chung C.A. Simulation Modeling Handbook. 1. Ed. USA: CRC Pres; 2004.
  • 17. Banks J. Handbook of Simulation.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bd07dfa1-ef2b-4a79-ac5f-0ddc5b390a41
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