Masters Theses

Keywords and Phrases

Product platform

Abstract

"Companies are increasingly looking at ways to cost-effectively offer a wide variety of product variants desired by the customers. The product platform concept is seen as a viable solution to offer product variety. Some popular techniques of offering product variety through product platform formation are: scale based design and modular design. Effective methods are needed to identify proper values of the design parameters for the above mentioned techniques. This paper presents a method utilizing the adaptive one-factor-at-a-time approach to select possible values of design variables so that individual product variant performances can be closely met with minimal variation in the values of design variables over the family of products. Each of the design variable is discretized into a number of values which represent the level of each design variable (levels of a factor). Two modes of offering product variety, namely scalability and modularity are utilized to form the platform and hence offer product variety. The proposed method is illustrated by forming product platforms for a pressure vessel example cited in the literature. Platforms are formed for several non-uniform demand scenarios. Initial findings have shown promising results to form viable product platforms"--Abstract, page iv.

Advisor(s)

Allada, Venkat

Committee Member(s)

Krishnamurthy, K.
Dagli, Cihan H., 1949-

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Sponsor(s)

National Science Foundation (U.S.)

Comments

Partial support for this work came from the National Science Foundation under Grant No. IIS-0325415.

Publisher

University of Missouri--Rolla

Publication Date

Spring 2006

Pagination

x, 44 pages

Note about bibliography

Includes bibliographical references (pages 19-21).

Rights

© 2006 Vishnu Borappa Susheela, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Factorial experiment designsNew productsProduct managementProduction functions (Economic theory)Production planning -- Mathematical models

Thesis Number

T 9022

Print OCLC #

85614554

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