A Decision Support System for Material and Manufacturing Process Selection

Published

October 1, 1997

Author(s)

Ronald Giachetti

Abstract

The material and manufacturing process selection problem is a multi-attribute decision making problem. These decisions are made during the preliminary design stages in an environment characterized by imprecise and uncertain requirements, parameters, and relationships. Material and process selection decisions must occur before design for manufacturing can begin. Thiover the decision factors. A compatibility rating between the product profile requirements and the alternatives stored in the database for each decision criteria is generated using possibility theory. The vector of compatibility ratingcompatible material and The material and manufacturing process selection problem is a multi-attribute decision making problem. These decisions are made during the preliminary design stages in an environment characterized by imprecise and uncertain requirements, parameters, and relationships. Material and process selection decisions must occur before design for manufacturing can begin. Thiover the decision factors. A compatibility rating between the product profile requirements and the alternatives stored in the database for each decision criteria is generated using possibility theory. The vector of compatibility ratingcompatible material and manufacturing process alternatives is output by the system. This approach has advantages over existing systems that either do not have a decision module or are not integrated with a database.s are aggregated into a single rating of that alternatives paper describes a prototype material and manufacturing process selection system called MAMPS that integrates a formal multi-attribute decision model with a relational database. The decision model enables the representation of the designer's preferences over the decision factor.

Citation

Journal of Intelligent Manufacturing

Pub Type

Journals

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Keywords

concurrent engineering, design for manufacturing, fuzzy sets, manufacturing processes, material selection, multi-attribute decision making, possibility theory, process selection

Citation

Giachetti, R. (1997), A Decision Support System for Material and Manufacturing Process Selection, Journal of Intelligent Manufacturing, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821160 (Accessed July 27, 2024)