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An implementation view on job shop scheduling based on CPM

Published: 26 July 2007 Publication History

Abstract

The scheduling of manufacturing processes aims to find sequences of jobs on given machines optimal by a selected criterion, e.g. minimal completion time of all operations. With respect to NP-hardness of these problems and the necessity to solve them by heuristic methods, the problem representation and the effectiveness of their procedures is substantial for computations to be completed in a reasonable amount of time. In this paper, we deal with job shop scheduling problem (JSSP) in a disjunctive graph-based representation. Turning all undirected edges into directed ones, the problem is transformed to a problem solvable by the Critical Path Method (CPM). We propose an original implementation of the CPM that makes it possible to decrease its time complexity and thus also the running time of all JSSP iterations.

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Published In

cover image Guide Proceedings
ICCOMP'07: Proceedings of the 11th WSEAS International Conference on Computers
July 2007
694 pages
ISBN:9789608457959
  • Editors:
  • N. E. Mastorakis,
  • S. Kartalopoulos,
  • D. Simian,
  • A. Varonides,
  • V. Mladenov,
  • Z. Bojkovic,
  • E. Antonidakis

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World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 26 July 2007

Author Tags

  1. CPM
  2. NP-hard problem
  3. disjunctive graph
  4. job shop scheduling
  5. manufacturing process

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