Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system

Abstract

A key task in the material handling system design process is the selection and configuration of equipment for material transport and storage in a facility. Material handling equipment selection is a complex, tedious task, and there are few tools other than checklists to assist engineers in the selection of appropriate, cost-effective material handling equipment. This paper describes the development of an intelligent material handling equipment selection system called material handling equipment selection advisor (MHESA). The MHESA is composed of three modules: (1) a database to store equipment types with their specifications; (2) a knowledge-based expert system for assisting material handling equipment selection; and (3) an analytic hierarchy process (AHP) model to choose the most favorable equipment type. The concept proposed in this paper can automate the design of a material handling equipment selection system, and provides artificial intelligence in the decision-making process. © 2001 Elsevier Science B.V. All rights reserved.