Economic selection of process mean for single-vendor single-buyer supply chain

被引:36
作者
Darwish, M. A. [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Syst Engn, Dhahran 31261, Saudi Arabia
关键词
Targeting problem; Production process; Single-vendor single-buyer problem; Supply chain; CONTROLLABLE LEAD-TIME; PRODUCTION-INVENTORY PROBLEM; CONTAINER-FILLING PROCESS; LOT-SIZE MODEL; INTEGRATED INVENTORY; TARGET VALUE; JOINT DETERMINATION; MULTIPLE MARKETS; SHIPMENT POLICY; CANNING PROBLEM;
D O I
10.1016/j.ejor.2008.11.017
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Process mean selection for a container-filling process is an important decision in a single-vendor single-buyer supply chain. Since the process mean determines the vendor's conforming and yield rates. it influences the vendor-buyer decisions regarding the production lot size and number of shipments delivered from the vendor to buyer. It follows, therefore, that these decisions should be determined simultaneously in order to control the supply chain total cost. in this paper, we develop a model that integrates the single-vendor single-buyer problem with the process mean selection problem. This integrated model allows the vendor to deliver the produced lot to buyer in number of unequal-sized shipments. Moreover, every outgoing item is inspected, and each item failing to meet a lower specification limit is reprocessed. Further, in order to study the benefits of using this integrated model, two baseline cases are developed. The first of which considers a hierarchical model where the vendor determines the process mean and schedules of production and shipment separately. This hierarchical model is used to show the impact of integrating the process mean selection with production/inventory decisions. The other baseline case is studied in the sensitivity analysis where the optimal solution for a given process is compared to the optimal solution when the variation in the process output is negligible. The integrated model is expected to lead to reduction in reprocessing cost, minimal loss to customer due to the deviation from the optimum target value, and consequently, providing better products at reduced cost for customers. Also, a solution procedure is devised to find the optimal solution for the proposed model and sensitivity analysis is conducted to investigate the effect of the model key parameters on the optimal solution. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:162 / 169
页数:8
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