Research on closed-loop supply chain network equilibrium with two-type suppliers, risk-averse manufacturers and capacity constraints

Purpose: the aim of this paper is to investigate the closed-loop supply chain (CLSC) network equilibrium wiht the consideration of three practical factors: two complementary types of suppliers, risk-averse character of the manufacturer and capacity constraints of the suppliers. Design/methodology/approach: The equilibrium of various decision makers including the suppliers, the manufacturers, the retailers, the collectors and the demand markets are modeled via finite-dimensional variational inequality, respectively. Then the governing CLSC network equilibrium model is established. The logarithmic-quadratic proximal prediction-correction algorithm is designed to solve the variational inequality model. Numerical examples are given to analyze the impact of return rate, risk-averse degree and capacity constraints on the network equilibrium under different product BOMs. Findings: with the increase of return rate, the profits of various channel members and the performance of the CLSC system will improve. There is a contradiction between profit maximization and risk minimization for the manufacturers. Moreover, the economic behavior of the CLSC is likely to be limited by the capacity constraints of the suppliers. Originality/value: Prior to this paper, few papers have addressed with the CLSC network equilibrium considering some practical factors. They assume all the suppliers are identical and all the decision-makers are risk neutral. Furthermore, the production capacities of all suppliers are assumed to be infinite or large enough. To fill the gap, this paper examines the influences of two-type suppliers, risk aversion and capacity constraints upon the CLSC network equilibrium.

[1]  Luk N. Van Wassenhove,et al.  Reverse Channel Design: The Case of Competing Retailers , 2006, Manag. Sci..

[2]  Luk N. Van Wassenhove,et al.  Product Reuse Economics in Closed‐Loop Supply Chain Research , 2008 .

[3]  Guoqing Zhang,et al.  Optimal production planning for a multi-product closed loop system with uncertain demand and return , 2011, Comput. Oper. Res..

[4]  A. Nagurney,et al.  A supply chain network equilibrium model , 2002 .

[5]  A. Nagurney,et al.  When and for whom would e-waste be a treasure trove? Insights from a network equilibrium model of e-waste flows , 2014 .

[6]  Anna Nagurney,et al.  Reverse supply chain management and electronic waste recycling: a multitiered network equilibrium framework for e-cycling , 2005 .

[7]  G. M. Korpelevich The extragradient method for finding saddle points and other problems , 1976 .

[8]  Anna Nagurney,et al.  Supply chain networks, electronic commerce, and supply side and demand side risk , 2005, Eur. J. Oper. Res..

[9]  Adem Orsdemir,et al.  Competitive Quality Choice and Remanufacturing , 2015 .

[10]  Jen-Ming Chen,et al.  The co-opetitive strategy of a closed-loop supply chain with remanufacturing , 2012 .

[11]  Qiang Meng,et al.  Production , Manufacturing and Logistics Competitive facility location on decentralized supply chains , 2009 .

[12]  H. Groenevelt,et al.  COMPETITION IN REMANUFACTURING , 2001 .

[13]  Mark E. Ferguson,et al.  The Effect of Competition on Recovery Strategies , 2006 .

[14]  Paulina Golinska,et al.  Remanufacturing in automotive industry: Challenges and limitations , 2011 .

[15]  Luk N. Van Wassenhove,et al.  Closed - Loop Supply Chain Models with Product Remanufacturing , 2004, Manag. Sci..

[16]  Trisha D. Anderson,et al.  The closed-loop supply chain network with competition, distribution channel investment, and uncertainties , 2013 .

[17]  Xiaoxia Zhu,et al.  An Integrated Optimization Model of a Closed-Loop Supply Chain Under Uncertainty , 2013 .

[18]  S. Webster,et al.  Competition in remanufacturing and the effects of government subsidies , 2008 .

[19]  G. Zsidisin Managerial Perceptions of Supply Risk , 2003 .

[20]  V. Guide,et al.  Closed‐Loop Supply Chains: An Introduction to the Feature Issue (Part 1) , 2006 .

[21]  Bingsheng He,et al.  A Logarithmic-Quadratic Proximal Prediction-Correction Method for Structured Monotone Variational Inequalities , 2006, Comput. Optim. Appl..

[22]  Scott Webster,et al.  Competitive strategy in remanufacturing and the impact of take-back laws , 2007 .

[23]  L. Beril Toktay,et al.  Market Segmentation and Product Technology Selection for Remanufacturable Products , 2005, Manag. Sci..

[24]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[25]  Patrick Beullens,et al.  Closed-loop supply chain network equilibrium under legislation , 2007, Eur. J. Oper. Res..

[26]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[27]  Guangfen Yang,et al.  The optimization of the closed-loop supply chain network , 2009 .