Evaluation of Factors Affecting the Productivity of RMG in Bangladesh: A Fuzzy AHP Approach
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 217
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_RIEJ-7-1_004
تاریخ نمایه سازی: 30 فروردین 1400
Abstract:
Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments (RMGs) is one of the most probable and profitable sectors which is considered as the main economic strength of the country. In this study, a two-phased research method has been projected to find out some governing factors affecting industry’s output. In the first phase, six criteria associated with the productivity have been identified based on literature, inputs from experts, opinions from the officials and managers of six garments industries in Bangladesh. In the second phase, among different MCDM tools, Fuzzy Analytic Hierarchy Process (FAHP) has been used for evaluating criteria weights and ranking the criteria. Among several criteria, line-balancing criterion has been found as the most important factor to improve the RMG’s productivity.
Keywords:
Authors
P. K. Halder
Department of Chemical and Environmental Engineering, School of Engineering, RMIT University, Melbourne, Victoria ۳۰۰۱, Australia.
C. L. Karmarker
Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-۷۴۰۸, Bangladesh.
B. Kundu
Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-۷۴۰۸, Bangladesh.
T. Daniel
Department of Industrial and Production Engineering, Jessore University of Science and Technology, Jessore-۷۴۰۸, Bangladesh.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :