An intelligent decision support system for machines selection.

Shaukat Ali Shah; Abdul Hadi; Muhammad Naeem Khan; Iftikhar Hussain

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An intelligent decision support system for machines selection.

Author(s)

Shaukat Ali Shah Department of Mechanical Engineering, NWFP University of Engineering & Technology, Peshawar, Pakistan

Abdul Hadi Department of Mechanical Engineering, NWFP University of Engineering & Technology, Peshawar, Pakistan

Muhammad Naeem Khan Industrial Engineering Department Engineering College King Saud University, P.O Box 800, Riyadh, KSA

Iftikhar Hussain University Workshops, NWFP, University of Engineering & Technology, Peshawar, Pakistan

Abstract

This paper presents a methodology to the design and development of an Intelligent Decision Support System (DSS) that is intended to help the user select suitable machines for a manufacturing system. The system uses visual interactive decision support framework designed to aid decision makers in selecting the most appropriate machines for manufacturing system. The framework can be used in the pre-investment stage of the planning process, after a decision has been made to build a manufacturing system. The DSS has been developed in the Visual Basic and illustrated through examples.

Publication Details

Page(s) 35-42

DOI DOI not available

Published Journal: Journal of Engineering and Applied Sciences, Volume: 22, Issue: 2, Year: 2003

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