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Globally, textile and clothing companies are seeking to increase the export rate by minimising the cost of production. The same goal still applies for Tunisian companies. Nonetheless, production cost is the most but not the only significant factor that increases the competitiveness of a product. Others are important in beating the challenge of global competition. Among these factors are deadlines, economic and social stability, proximity, competence of the workforce and quality. In this study, the SAW method was used to develop a method for the calculation of a salary bonus according to the following criteria: the quality index, performance, difficulty of work, discipline, and attendance. This method improved the skills and wages of the workforce, decreased the absenteeism rate and increased the productivity of the company. The results showed in dependence on the case studied that the quality index varied between-0.053 and 1, performance between 40.5 and 81, the ranking vector between 0.545 and 0.911, and the bonus rate between 0% and 15%. The study reduced the absenteeism rate from 13.25% to 8.3% for direct labour. The quality of production was improved by reducing the defect rate by 8.54% to 4.6%. The efficiency of the chain was also improved by 51% to 67.3%.
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3--7
Opis fizyczny
Bibliogr. 19 poz., tab.
Twórcy
autor
- University of Monastir, Textile Engineering Laboratory of ISET Ksar Hellal, 5070, Monastir, Tunisia
autor
- University of Monastir, Textile Engineering Laboratory of ISET Ksar Hellal, 5070, Monastir, Tunisia
autor
- University of Monastir, Textile Engineering Laboratory of ISET Ksar Hellal, 5070, Monastir, Tunisia
Bibliografia
- 1. Abraham V, Sasikumar SK. Labour Cost and Export Behaviour of Firms in Indian Textile and Clothing Industry 2010. Available from https://mpra.ub.uni-muenchen.de/id/eprint/22784.
- 2. Nordås HK. The Global Textile and Clothing Industry post the Agreement on Textiles and Clothing. World Trade Organization. Geneva, Switzerland, 2004.
- 3. Gupta A K S. Decline of Trade Union Power in India. Indian Journal of Labour Economics 2003; 9(4): 685-702.
- 4. Sharma AN. Flexibility, Employment and Labour Market Reforms In India. Economic and Political Weekly 2006; 41(21): 2078-2085.
- 5. Bryher A. Un Salaire Vital Dans L’industrie Textile Mondiale Évaluation Des Entreprises 2019. Available from https://www.patrinum.ch/record/224893.
- 6. APII. Les industries du textile et de l’habillement demeurent un secteur clé de l’économie tunisienne 2017. Available from http://www.tunisieindustrie.nat.tn/fr/download/news/2017/NOTE_ITH_2017.pdf
- 7. Afshari AR, Mojahed M. Simple Additive Weighting Approach to Personnel Selection Problem. International Journal of Innovation and Technology Management 2010; 1(5): 511-515.
- 8. Souid H, Sahnoun M, Babay A, Cheikhrouhou M. A Generalized Model for Predicting Yarn Global Quality Index. The Open Textile Journal 2012; 5(6): 8-13.
- 9. Becker C, Scholl A. A Survey on Problems and Methods in Generalized Assembly Line Balancing. European Journal of Operational Research 2006; 168(3): 694-715.
- 10. Ghosh S, Gagnon RJ. A Comprehensive Literature Review and Analysis of The Design, Balancing and Scheduling of Assembly Systems. International Journal of Production Research 1989; 27(4): 637-670.
- 11. Chen JC, Chen CC, Ling HS, Hun BW, Cheng JS. Assembly Line Balancing Problem of Sewing Lines in Garment Industry. Expert Systems with Applications 2012; 39(11): 10073-10081.
- 12. Anne HCC. Une méthode de mesure de la productivité du travail dans les entreprises industrielles. Revue d’economie industrielle 1978; 5 (1): 37-55. Available from https://www.persee.fr/doc/rei_0154-3229_1978_num_5_1_993
- 13. Golec A, Kahya E. A Fuzzy Model for Competency-Based Employee Evaluation and Selection. Computers & Industrial Engineering 2007; 52(1): 143-161.
- 14. Chourabi Z, Khedher F, Babay A, Cheikhrouhou M. A New Approach to Assess Objectively the Workforce’s Performance: the Development of a New Competence Index. Journal of Textile and Apparel Technologie and Management 2018; 10(4): 1-20.
- 15. Kurniasih N, Ahmar AS, Hidayat DR, Agustin H, Rizal E. Forecasting Infant Mortality Rate for China: A Comparison Between α-Sutte Indicator, ARIMA, and Holt-Winters. Journal of physics 2018; 1028: 1-7. Available from https://iopscience.iop.org/article/10.1088/1742-6596/1028/1/012195/pdf.
- 16. Nashrudin S, Nasution MD, Yossie R, Tambunan ARS, Girsang M, Agus RTA, Muhammad Y, Vebrianto R, Purba ON, Fauzi A, Perdana S, Khairun N. Simple Additive Weighting as Decision Support System for Determining Employees Salary. International Journal of Engineering & Technology 2018; 7(2.14): 309-313. Available from https://www.researchgate.net/profile/Rian_Vebrianto/publication/326345853_Simple_additive_weighting_as_decision_support_system_for_determining_employees_salary/links/5b79f2024585151fd12191c8/Simple-additive-weighting-as-decision-support-system-for-determining-employees-salary.pdf
- 17. Haswan F. Decision Support System for Election of Members Unit Patients Pamong Praja. International Journal of Artificial Intelegence Research 2017; 1(1): 21-26.
- 18. Khedher F, Dhouib S, Sakli F. The Effect of Seaming on Cloth Shrinkage During Finishing Treatment of Denim Garments. Research Journal of Textile and Apparel 2013; 17(4): 90-102.
- 19. Sarath Chandran. TPM Implementation Approach. Journal of Industrial Engineering and Management 2015. Available from: https://www.researchgate.net/publication/27905921.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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