Merchandise planning in fashion retailing : models, analysis and applications / Kumar Rajaram.

Format:

Book

Manuscript

Microformat

Thesis/Dissertation

Author/Creator:

Rajaram, Kumar, 1968-

Contributor:

Fisher, Marshall, advisor.

University of Pennsylvania.

Language:

English

Subjects (All):

Penn dissertations--Managerial science and applied economics.

Managerial science and applied economics--Penn dissertations.

Penn dissertations--Operations and information management.

Operations and information management--Penn dissertations.

Local Subjects:

Penn dissertations--Managerial science and applied economics.

Managerial science and applied economics--Penn dissertations.

Penn dissertations--Operations and information management.

Operations and information management--Penn dissertations.

Physical Description:

x, 95 pages ; 29 cm

Production:

1998.

Summary:

Merchandise planning is the process conducted by a retailer to ensure that the right product is available to the customer at the right place, time, quantity and price. This process involves selecting the products the retailer will carry and determining the purchase quantities of these products. Merchandising has become more complex because of changes in the retail industry such as consolidation, global sourcing, higher levels of competition, increasing product variety, reduced life cycles and less predictable demand. Enhancements in information, manufacturing and distribution technology offer potential to reduce the large markdowns due to excessive inventory and lost sales opportunity due to sellouts currently prevalent in this industry.

The purpose of this dissertation is to study certain facets of this process and develop prescriptive optimization methods that capitalize on these technology enhancements to improve the accuracy of merchandising. Based on projects with two large retailers and interactions with several others, we have studied three classes of problems.

In the first problem, we develop a methodology to improve the accuracy of merchandise testing by choosing how many and at which stores to test new products and how to extrapolate test sales into a forecast for the entire season across the chain. In the second problem, we develop a method to choose the product assortment and analyze this choice in terms of the mix and the level of breadth and depth of this assortment. In the third problem, we consider replenishment based on actual sales, a strategy that can be employed by the retailer to minimize inventory risk associated with an assortment of products.

In all these problems, we develop models which are compared to existing practices at these retailers using real sales data. Comparing our techniques to current practices, we found they could reduce markdowns due to excessive inventory and lost margins due to stockouts enough to increase profits by over 100% in each application. General insights on improving this process and future research directions are described.

Notes:

Supervisor: Marshall Fisher.

Thesis (Ph.D. in Operations and Information Management) -- University of Pennsylvania, 1998.

Includes bibliographical references.

Local Notes:

University Microfilms order no.: 98-40229.

OCLC:

187472982