Benefits of postponement for fashion products with forecast updates

This thesis examines the benefit of postponement of fashion products by considering the overage cost of the intermediate product and the correlation between the demand for each end products produced from it. The benefit of postponement is measured by the percentage increase in maximum expected profit after demand is realized. The production process is modelled as a two stage newsvendor problem and the forecast update path follows an additive martingale. An optimal solution and a myopic solution are proposed to solve this problem. Numerical results indicate that the benefit of postponement decreases with the overage cost of the intermediate product and the correlation between demand for each end products. It becomes less sensitive to the overage cost of the intermediate product when end products are more negatively correlated. It is also less sensitive to the demand correlation between end products when the overage cost of the intermediate product is low. In addition, the benefit of postponement is sensitive to the additional unit costs introduced by postponement. A case study to NFL Jerseys purchase planning indicates that an increase of unit cost by 10% can reduce the benefit of postponement by over 50%. Thesis Supervisor: Yossi Sheffi Title: Professor of Civil and Environmental Engineering Professor of Engineering Systems

[1]  Hau L. Lee,et al.  Xilinx Improves Its Semiconductor Supply Chain Using Product and Process Postponement , 2000, Interfaces.

[2]  Hau L. Lee,et al.  DESIGNING PRODUCTS AND PROCESSES FOR POSTPONEMENT , 1994 .

[3]  Jayashankar M. Swaminathan,et al.  Managing broader product lines through delayed differentiation using vanilla boxes , 1998 .

[4]  Christopher S. Tang,et al.  Modelling the Costs and Benefits of Delayed Product Differentiation , 1997 .

[5]  Wroe Alderson,et al.  Marketing efficiency and the principle of Postponement , 2006 .

[6]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .

[7]  Hau L. Lee,et al.  Hewlett-Packard Gains Control of Inventory and Service through Design for Localization , 1993 .

[8]  D. Heath,et al.  Modelling the evolution of demand forecasts with application to safety stock analysis in production distribution systems , 1994 .

[9]  Awi Federgruen,et al.  Design for Postponement: A Comprehensive Characterization of Its Benefits Under Unknown Demand Distributions , 2001, Oper. Res..

[10]  Stephen C. Graves,et al.  TWO-STAGE PRODUCTION PLANNING IN A DYNAMIC ENVIRONMENT , 1985 .

[11]  Peter Dapiran Benetton – Global Logistics in Action , 1992 .

[12]  W. Zinn,et al.  PLANNING PHYSICAL DISTRIBUTION WITH THE PRINCIPLE OF POSTPONEMENT , 1988 .

[13]  Hau L. Lee,et al.  Design for Postponement , 2003, Supply Chain Management.

[14]  S. Venkatesh,et al.  Managing Product Variety Through Postponement: Concept and Applications , 2004 .

[15]  H. Kunzi,et al.  Lectu re Notes in Economics and Mathematical Systems , 1975 .

[16]  Hau L. Lee,et al.  Effective Inventory and Service Management Through Product and Process Redesign , 1996, Oper. Res..

[17]  John C. W. Parsons,et al.  Using a newsvendor model for demand planning of NFL replica jerseys , 2004 .

[18]  Willi Hock,et al.  Lecture Notes in Economics and Mathematical Systems , 1981 .