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%.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2005

Author dc:creator

• Gong, Huiling

Advisor dc:contributor.advisor

• Yossi Sheffi.

• Engineering Systems Division.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/33320

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33320