A correlation and heuristic approach for obtaining production sequences requiring a minimum of tool replacements

  • Authors:

  • Patrick R. McMullen;Mark Clark;David Albritton;John Bell

  • Affiliations:

  • College of Business, Department of Management, Auburn University, 415 W. Magnolia, Suite 401, Auburn, AL;College of Business, Department of Management, Auburn University, 415 W. Magnolia, Suite 401, Auburn, AL;College of Business, Department of Management, Auburn University, 415 W. Magnolia, Suite 401, Auburn, AL;College of Business, Department of Management, Auburn University, 415 W. Magnolia, Suite 401, Auburn, AL

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2003

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Abstract

This research presents a technique to obtain production sequences requiring minimal tooling replacements, via exploitation of statistical metrics along with a heuristic approach. Tool preservation has always been an important issue, and in many cases, since the production of some products tends to wear the tooling differently than others, the production sequence plays an important role in this preservation. Thus, if tool preservation is a priority then maintaining uniform tool-wear through careful product sequencing should be of concern. In some industries, minimizing tool replacement by increasing its useful life can result in large annual savings for manufacturing firms--due to increased tool life, reduction of unscheduled downtime, and increased flexibility of the machining center. This research presents sequencing techniques that attempt to minimize the number of tool replacements on a single machine over a given period of time (via sequences which have uniformity of tool wear). The sequences are obtained via simulated annealing, with a measurement criterion of three correlation-related statistics. Experimentation indicates that sequences obtained via the presented metrics and simulated annealing provide fewer tooling replacements as compared to more conventional sequencing methods.