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  • 标题:Sustainable Supplier Selection and Order Allocation Applying Metaheuristic Algorithms
  • 本地全文:下载
  • 作者:Amir Arabsheybani ; Mohammad Mahdi Paydar ; Abdul Sattar Safaei
  • 期刊名称:International Journal of Supply and Operations Management
  • 印刷版ISSN:2383-1359
  • 电子版ISSN:2383-2525
  • 出版年度:2020
  • 卷号:7
  • 期号:2
  • 页码:164-177
  • DOI:10.22034/IJSOM.2020.2.5
  • 语种:English
  • 出版社:Kharazmi University
  • 摘要:Supplier selection,order allocation and production planning are important and challenging decisions in supply chain management. There are many studies on mentioned topics separately. In this paper,a multi-objective mathematical model is proposed to optimize a sustainable supplier selection problem with order allocation and production planning simultaneously. This study considers a multi-supplier,multi-product,multi-item and multiperiod supply chain. The designed mathematical model seeks to maximize total profit and minimize unsatisfied demand and total risk along with enforcing sustainability criteria in selecting suppliers. Supplier selection is a virtual process in every manufacturing company. On the other hand,this research considers all the important aspects of this problem. Therefore,the proposed framework can be implemented in many different companies like electronic,food,chemical industry. The proposed model is solved utilizing two metaheuristic algorithms including NSGA II and MOPSO. Moreover,algorithms are tuned utilizing Taguchi analysis. Furthermore,ten sample problems are generated and results are compared to identify the best algorithm for the proposed model.
  • 关键词:Integrated production-inventory model;Joint Economic lot size;Dual-channel supply chain;Ecommerce
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