Volume 30, Issue 1 (IJIEPR 2019)                   IJIEPR 2019, 30(1): 105-115 | Back to browse issues page

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mohagheghian E, fakhrzad B. A Nash game in multi-period planning of make-to-order production system across the supply chain. IJIEPR 2019; 30 (1) :105-115
URL: http://ijiepr.iust.ac.ir/article-1-832-en.html
A Nash game in multi-period planning of make-to-order production system across the supply chain
Elahe Mohagheghian1 , Bagher Fakhrzad 2
1- yazd university
2- yazd university , mfakhrzad @ yazd.ac.ir
Abstract:   (3909 Views)
Supply chain members coordinate with each other in order to obtain more profit. The major mechanisms for coordination among supply chain echelons are pricing, inventory management, and ordering decisions. This paper concerns these mechanisms in a multi-echelon supply chain consisting of multiple suppliers, one manufacturer, and multiple retailers in order to study the price and leadtime competition, where the make-to-order production mode is employed and consumers are sensitive to retail price and leadtime. In the current study, a novel inventory model is presented, where the manufacturer has an exclusive supplier for every required component of its final product. The interactions and decisions of the firms are observed in multiple time periods. Moreover, each supply chain member has equal power and make their decisions simultaneously. The proposed model considers the relationships among three echelon supply chain members based on a non-cooperative Nash game with pricing and inventory decisions. An iterative solution algorithm is proposed to find Nash equilibrium point of the game. Several numerical examples are presented to study the application of the model as well as the effectiveness of the algorithm. Finally, a comprehensive sensitivity analysis is performed and some important managerial insights are highlighted.
 
Keywords: Supply chain, Nash game, Make-to-order (MTO), Production planning
Full-Text [PDF 690 kb]   (1414 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2018/06/4 | Accepted: 2019/02/23 | Published: 2019/03/16
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