Collaboration for a closed-loop deteriorating inventory supply chain with multi-retailer and price-sensitive demand

In this paper, a closed-loop logistics system with manufacturing and remanufacturing cycle is analyzed using three optimization methods. They are: (i) sequential optimization, (ii) centralized optimization without benefit sharing, and (iii) centralized optimization with benefit sharing. In the first method, the decisions of sequential optimization are made initially by the retailers, and then by the manufacturer. In the second method, the decision of the centralized optimization is made simultaneously by the whole logistics system. The second method is not favorable to the retailers because the retailers' profit will become smaller as a result of collaboration. Therefore a third method with benefit sharing is investigated. The logistics system includes a manufacturer and multi-retailer considering price-sensitive demand and deterioration. Industrial examples of such products are IC chips, computers and mobile phones that usually outdate or decrease in value due to technological innovation. The decrease in value is considered as a form of deterioration. In order to add value, these outdated products can be remanufactured and resold to market. Four key effects are investigated in this study: (i) recycling in supply chain, (ii) deterioration, (iii) collaboration effect between manufacturer and retailers using three optimization methods, and (iv) price sensitive demand.

[1]  A. Banerjee A JOINT ECONOMIC-LOT-SIZE MODEL FOR PURCHASER AND VENDOR , 1986 .

[2]  Hui-Ming Wee,et al.  Optimal policy for a closed-loop supply chain inventory system with remanufacturing , 2008, Math. Comput. Model..

[3]  M. Jaber,et al.  The production, remanufacture and waste disposal model with lost sales , 2009 .

[4]  D. W. Kim,et al.  The Price and Production Level of the Deteriorating Inventory System. , 1983 .

[5]  Philip M. Wolfe,et al.  An inventory model for deteriorating items , 1991 .

[6]  Hui-Ming Wee,et al.  An improved algorithm and solution on an integrated production-inventory model in a three-layer supply chain , 2012 .

[7]  Hui-Ming Wee,et al.  Economic production lot size model for deteriorating items with partial back-ordering , 1993 .

[8]  D. Schrady A deterministic inventory model for reparable items , 1967 .

[9]  H. Wee,et al.  An economic production quantity model for deteriorating items with multiple production setups and rework , 2012 .

[10]  Hui-Ming Wee,et al.  Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system , 2011 .

[11]  R. Misra,et al.  Optimum production lot size model for a system with deteriorating inventory , 1975 .

[12]  S. Goyal “A JOINT ECONOMIC‐LOT‐SIZE MODEL FOR PURCHASER AND VENDOR”: A COMMENT* , 1988 .

[13]  H. Wee,et al.  Preservation technology investment for deteriorating inventory , 2010 .

[14]  Hui-Ming Wee,et al.  Collaborative vendor-buyer inventory system with declining market , 2008, Comput. Ind. Eng..

[15]  H. Wee,et al.  Optimal replenishment policy for a deteriorating green product: Life cycle costing analysis , 2011 .

[16]  I Gede Agus Widyadana,et al.  Single-vendor single-buyer inventory model with discrete delivery order, random machine unavailability time and lost sales , 2013 .

[17]  R. Teunter,et al.  On the non-optimality of the average cost approach for inventory models with remanufacturing , 2002 .

[18]  Elsayed A. Elsayed,et al.  Analysis of inventory systems with deteriorating items , 1983 .

[19]  Herbert E. Scarf,et al.  Optimal Policies for a Multi-Echelon Inventory Problem , 1960, Manag. Sci..

[20]  Po-Chung Yang,et al.  An integrated multi-lot-size production inventory model for deteriorating item , 2003, Comput. Oper. Res..

[21]  Yan Feng,et al.  A new lot-sizing heuristic for manufacturing systems with product recovery , 2011 .

[22]  Jonas C. P. Yu,et al.  Collaborative pricing and replenishment policy for hi-tech industry , 2007, J. Oper. Res. Soc..