Supply Chain Scheduling Using a Transportation System Composed of Vehicle Routing Problem and Cross-Docking Approaches
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
View: 461
This Paper With 19 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJTE-7-1_001
تاریخ نمایه سازی: 19 خرداد 1398
Abstract:
This study considers a combination of cross-docking and vehicle routing problem (VRP) approachesto transport raw material and parts in a supply chain. The supply chain is composed of some supplierswhich are spread in different geographical zones and multiple shared vehicles with different speedsand capacities for transporting orders from the suppliers to a manufacturer. After proposing amathematical model of this new problem, a developed version of genetic algorithm based on apsychological theory, named Reference Group Genetic Algorithm (RGGA) is used to solve theproblem. The originality of this research is proposing a new method in integrated production andtransportation scheduling in supply chain by combination of cross-docking and VRP approaches,presenting the mathematical model of the problem and adapting RGGA to solve it. To evaluateRGGA performance, we develop a genetic algorithm proposed for the nearest problem in literatureand compare these two algorithms. Moreover, RGGA results are compared with optimum solutionsby some low size test problems. The result shows the good performance of RGGA.
Keywords:
Authors
Mohammad Hossein Najian
MSc. Grad., Department of Industrial Engineering , Semnan University, Semnan, Iran
Mohammad Ali Beheshtinia
Associate Professor, Department of Industrial Engineering , Semnan University, Semnan, Iran
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 :