Identification of implicit strategies in production control

Gunther Reinhart, Tobias Gyger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

In an increasingly turbulent environment, convincing methods of production planning and control are required. Discrete event simulation has proven to be a suitable tool to fulfill this demand. However, as flows of materials are often influenced by ad-hoc decisions of workers, the quality of simulation models depends on the conformance of real-world decision strategies to the ones simulated. This article proposes a method for identifying dynamic workflows caused by decisions of human workers using methods of pattern recognition. For this purpose, underlying data from production data acquisition (PDA) shall be analyzed to identify patterns and to recognize human strategies and provide them for an automated generation of simulation models.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages302-306
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore, Singapore
Duration: 8 Dec 200811 Dec 2008

Publication series

Name2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008

Conference

Conference2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Country/TerritorySingapore
CitySingapore
Period8/12/0811/12/08

Keywords

  • Discrete event simulation
  • Dynamic workflow
  • Pattern recognition
  • Production planning and control

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