Pricing and retail service decisions in fuzzy uncertainty environments

This paper studies the pricing and retail service decisions of a product in a supply chain with one manufacturer and two retailers. It is assumed that the supply chain is operated in fuzzy uncertainty environments. The fuzziness is associated with the customer demands, manufacturing costs and service cost coefficients. Three different game structures are considered, i.e., Manufacturer-leader Stackelberg, Retailer-leader Stackelberg, and Vertical Nash. Expected value models are developed to determine the optimal pricing and retail service strategies. The corresponding analytical equilibrium solutions are obtained by solving the models. Finally, numerical examples are presented to illustrate the effectiveness of the theoretical results, and to gain various marketing strategies employed under different situations.

[1]  Jing Zhao,et al.  Competition under manufacturer service and price in fuzzy environments , 2013, Knowl. Based Syst..

[2]  Wansheng Tang,et al.  Pricing decision for substitutable products with retail competition in a fuzzy environment , 2012 .

[3]  Andy A. Tsay,et al.  Channel Dynamics Under Price and Service Competition , 2000, Manuf. Serv. Oper. Manag..

[4]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[5]  Alev Taskin Gumus,et al.  A multi-echelon inventory management framework for stochastic and fuzzy supply chains , 2009, Expert Syst. Appl..

[6]  Phillip J. Lederer,et al.  Pricing, Production, Scheduling, and Delivery-Time Competition , 1997, Oper. Res..

[7]  Wansheng Tang,et al.  A fuzzy supply chain contract problem with pricing and warranty , 2014, J. Intell. Fuzzy Syst..

[8]  Wansheng Tang,et al.  Two-echelon supply chain games in a fuzzy environment , 2008, Comput. Ind. Eng..

[9]  Keith J. Burnham,et al.  A heuristic procedure for the two-level control of serial supply chains under fuzzy customer demand , 2006 .

[10]  Ruoning Xu,et al.  Manufacturer's coordination mechanism for single-period supply chain problems with fuzzy demand , 2010, Math. Comput. Model..

[11]  Pierpaolo Pontrandolfo,et al.  A fuzzy echelon approach for inventory management in supply chains , 2003, Eur. J. Oper. Res..

[12]  Wansheng Tang,et al.  Pricing decisions for substitutable products with a common retailer in fuzzy environments , 2012, Eur. J. Oper. Res..

[13]  Wansheng Tang,et al.  Optimal contracts for the agency problem with multiple uncertain information , 2014, Knowl. Based Syst..

[14]  Manoj Kumar,et al.  A fuzzy programming approach for vendor selection problem in a supply chain , 2006 .

[15]  Zhi Pei,et al.  Retail services and firm profit in a dual-channel market , 2009 .

[16]  Jye-Chyi Lu,et al.  Competition under manufacturer service and retail price , 2011 .

[17]  A. Federgruen,et al.  Dynamic inventory and pricing models for competing retailers , 2004 .

[18]  Richard Staelin,et al.  An Industry Equilibrium Analysis of Downstream Vertical Integration , 2008, Mark. Sci..

[19]  Jui-Lin Wang,et al.  A supply chain application of fuzzy set theory to inventory control models - DRP system analysis , 2009, Expert Syst. Appl..

[20]  Jing Zhao,et al.  Pricing decisions with retail competition in a fuzzy closed-loop supply chain , 2011, Expert Syst. Appl..

[21]  S. H. Ghodsypour,et al.  Fuzzy multiobjective linear model for supplier selection in a supply chain , 2006 .

[22]  Teck-Hua Ho,et al.  Setting Customer Expectation in Service Delivery: An Integrated Marketing-Operations Perspective , 2004, Manag. Sci..

[23]  Robert H. Porter,et al.  Can resale price maintenance and franchise fees correct sub-optimal levels of retail service?☆ , 1990 .

[24]  A. Spence.  Monopoly, Quality, and Regulation , 1975 .

[25]  Avinash Dixit,et al.  Quality and Quantity Competition , 1977 .

[26]  Hung-Tso Lin,et al.  Production , Manufacturing and Logistics Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation , 2007 .

[27]  Keith Goffin,et al.  Customer support: A cross‐industry study of distribution channels and strategies , 1999 .