A dynamic model for optimal design quality and return policies

Abstract A clearly explained and generous return policy has been established as a competitive weapon to enhance sales. From the firm’s point of view, a generous return policy will increase sales revenue, but will also increase cost due to increased likelihood of return. Design quality of the product has been used as a competitive weapon for a long time. This paper recognizes the relationship between design quality and price of the product, and the firm’s return policy. Quality level in the product would influence the amount of return directly. When the product quality is higher, the customer satisfaction rate will increase and the probability of return will decrease. We develop a profit-maximization model to jointly obtain optimal policies for the product quality level, price and the return policy over time. The model presented in this paper is dynamic in nature and considers the decisions as the product moves through the life cycle. We obtain a number of managerial guidelines for using marketing and operational strategy variables to obtain the maximum benefit from the market. We mention several future research possibilities.

[1]  Scott M. Davis,et al.  Money back guarantees in retailing: matching products to consumer tastes , 1995 .

[2]  J. D. Hess,et al.  Modeling merchandise returns in direct marketing , 1997 .

[3]  Samar K. Mukhopadhyay,et al.  Reverse logistics in e‐business , 2004 .

[4]  O. Mangasarian Sufficient Conditions for the Optimal Control of Nonlinear Systems , 1966 .

[5]  Jiuh-Biing Sheu,et al.  Environmental-Regulation Pricing Strategies for Green Supply Chain Management , 2009 .

[6]  Stacy L. Wood Remote Purchase Environments: The Influence of Return Policy Leniency on Two-Stage Decision Processes , 2001 .

[7]  Chang Hwan Lee,et al.  Coordinated stocking, clearance sales, and return policies for a supply chain , 2001, Eur. J. Oper. Res..

[8]  J. Peck,et al.  Demand Uncertainty and Returns Policies , 1995 .

[9]  Panagiotis Kouvelis,et al.  A Differential Game Theoretic Model for Duopolistic Competition on Design Quality , 1997, Oper. Res..

[10]  Bruno Viscolani,et al.  New product introduction: goodwill, time and advertising cost , 2002, Math. Methods Oper. Res..

[11]  Michael R. Hagerty,et al.  Return Policies and the Optimal Level of "Hassle" , 1998 .

[12]  S. Gilbert,et al.  Note. the Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods , 1998 .

[13]  G. Thompson,et al.  Optimal Control Theory: Applications to Management Science and Economics , 2000 .

[14]  József Vörös A kereslet hatása az árak, a minőség és a fejlesztési döntések dinamikájára [The effect of demand on the dynamics of prices, quality and development decisions] , 2008 .

[15]  Garrett J. van Ryzin,et al.  Optimal Dynamic Auctions for Revenue Management By , 2001 .

[16]  I. Png,et al.  Returns Policies: Make Money by Making Good , 1995 .

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

[18]  Scott Webster,et al.  A Risk-free Perishable Item Returns Policy , 2000, Manuf. Serv. Oper. Manag..

[19]  I. Png,et al.  Manufacturer's Return Policies and Retail Competition , 1997 .

[20]  Ronald S. Tibben-Lembke,et al.  Going Backwards: Reverse Logistics Trends and Practices , 1999 .

[21]  Jannett Highfill,et al.  An Application of Optimal Control to the Economics of Recycling , 2001, SIAM Rev..

[22]  M. Petit Dynamic optimization. The calculus of variations and optimal control in economics and management : by Morton I. Kamien and Nancy L. Schwartz. Second Edition. North-Holland (Advanced Textbooks in Economics), Amsterdam and New York, 1991. Pp. xvii+377. ISBN0-444- 01609-0 , 1994 .

[23]  Nancy J. Herman,et al.  RETURN TO SENDER , 1993 .

[24]  D. Garvin Competing on the Eight Dimensions of Quality , 1987 .