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RESEARCH PAPERS

Tool Status Recording and Its Use in Probabilistic Optimization

[+] Author and Article Information
Chen Zhou

School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205

R. A. Wysk

Dept. of Industrial Engineering, Texas A&M University, College Station, TX 77843-3131

J. Eng. Ind 114(4), 494-499 (Nov 01, 1992) (6 pages) doi:10.1115/1.2900703 History: Received July 01, 1990; Revised August 01, 1991; Online April 08, 2008

Abstract

In batch production, recording the status of cutting tools and making decisions based on current tool status are important issues. In flexible manufacturing systems, there are normally many tools installed on machining centers. These tools are often used on different operations due to frequent change over in the system. The tool usage recording and the decision making based on tool status in this environment are crucial. The commonly adopted time measure is not sufficient because tool life is influenced by many factors. A tool status measure (tool wear index) is introduced in this paper. The index is affected by both direct cutting time and the type of cutting involved. Tooling cost recovery and probabilistic models are also developed to identify the cutting speed and replacement time based on tool wear index for minimum unit cost. The objective is to minimize the unit direct machining cost due to tooling, machining time, and in-process tool failure penalty.

Copyright © 1992 by The American Society of Mechanical Engineers
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