Masters Theses

Salik Yadav

Abstract

"This research presents a value quantification model for multi-stage product development Process (PDP) using lean value principles. The PDP stages considered in this research include conceptual development, systems design, detailed design and prototyping stages. The value at any of the PDP stages is formulated as a function of six factors: (a) importance of customer requirements, (b) cost of customer's ownership, (c) parts/service availability, (d) weighted average cost of capital, (e) information evolution, and (f) risk reduction. Factors (a)-(d) are adequately addressed in the literature. This study focuses on information evolution and risk reduction factors. These two factors are defined by a set of value attributes including performance, risk, schedule, cost, form, fit, function, and timeliness. The efficacy of the proposed value quantification model is demonstrated using a case example of a Detonator Disposal (DD) robot family. The proposed model determines an optimal solution for each of the design variables to maximize the overall value of the PDP"--Abstract, page iv.

Advisor(s)

Allada, Venkat

Committee Member(s)

Dagli, Cihan H., 1949-
Grantham Lough, Katie, 1979-

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Sponsor(s)

Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)

Research Center/Lab(s)

Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2010

Pagination

xii, 54 pages

Note about bibliography

Includes bibliographical references (pages 131-134).

Rights

© 2010 Salik Yadav, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Information theory in economics
Lean manufacturing
New products -- Development
Risk assessment -- Methodology
Value analysis (Cost control)

Thesis Number

T 9633

Print OCLC #

692202185

Electronic OCLC #

745905909

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