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Optimal tool replacement and resetting strategies in automated manufacturing systems

  • A. K. Sheikh*
  • , A. Raouf
  • , U. A. Sekerdey
  • , M. Younas
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

As a result of tool wear in machining processes there is a change in the dimensions of parts produced. To minimize the cost of producing parts out of specifications and to minimize the overall tooling cost, the optimal tool resetting and replacement intervals need to be determined. In this paper, the optimal cost models are proposed for tool replacement and resetting by using renewal functions. The tool life as well as tool reset times are modelled as inverted normal distributions. Numerical solutions are presented for the proposed models. To illustrate the application of the models, a case study of machining a part on a Mazak CNC machine is presented. The dimensional changes of various surfaces of the machined parts are monitored along with the corresponding tool wear as a function of time. The data obtained have demonstrated the validity of the proposed models, their underlying assumptions, and they illustrate the utilization of such an analysis in a flexible manufacturing system, where such CNC machines are the integral part of the system.

Original languageEnglish
Pages (from-to)917-937
Number of pages21
JournalInternational Journal of Production Research
Volume37
Issue number4
DOIs
StatePublished - Mar 1999

Bibliographical note

Funding Information:
The authors wihstoacknowldege the support provided by the KingFahd University of Petroleum and Minerals for conducting this research.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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