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Computer‐based approach to material and process selection

Manocher Djassemi (Industrial Technology Area of Orfalea College of Business, California Polytechnic State University, San Luis Obispo, California, USA)

Journal of Manufacturing Technology Management

ISSN: 1741-038X

Article publication date: 4 September 2009

860

Abstract

Purpose

The purpose of this paper is to provide a perspective of computer‐aided material and process selection (MPS) software tools for product development purpose and present a practical approach for manufacturers and other decision makers involved in MPS.

Design/methodology/approach

A multi‐criteria deductive approach for MPS is applied to a case study by taking into account the technical performances and environmental constraints. A resource‐based cost modeling is also deployed to examine the implication of selected material and process on overall product cost.

Findings

The paper demonstrates the capabilities and shortcoming of existing computerized MPS software tools in assisting product managers and designers for handling the growing volume of material/process data.

Research limitations/implications

Applying computer‐aided MPS approach to complex shape products with multiple features is not a straightforward task and requires further development in existing MPS software tools.

Practical implications

Computer‐aided MPS systems can assist decision makers in solving many material/process selection problems by following a systematic process.

Originality/value

Given today's rapid technological changes, it is important for decision makers to understand the capabilities of computer‐aided MPS software tools in handling a growing volume of data. Very limited research has been done to explore the capabilities and limitations of existing material/process selectors. It is the first in the literature that demonstrates the application of multi‐criteria deductive approach in MPS using a software tool.

Keywords

Citation

Djassemi, M. (2009), "Computer‐based approach to material and process selection", Journal of Manufacturing Technology Management, Vol. 20 No. 7, pp. 975-988. https://doi.org/10.1108/17410380910984230

Publisher

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Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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