Previously published as: Integrated Manufacturing Systems
Online from: 2004
Subject Area: Operations and Logistics Management
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|Title:||Computer-based approach to material and process selection|
|Author(s):||Manocher Djassemi, (Industrial Technology Area of Orfalea College of Business, California Polytechnic State University, San Luis Obispo, California, USA)|
|Citation:||Manocher Djassemi, (2009) "Computer-based approach to material and process selection", Journal of Manufacturing Technology Management, Vol. 20 Iss: 7, pp.975 - 988|
|Keywords:||Internet, Materials management, Operations and production management, Software tools|
|Article type:||Technical paper|
|DOI:||10.1108/17410380910984230 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
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.
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