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A Computational Study of the Job-Shop Scheduling Problem

Applegate, David, Cook, William·1991·ORSA Journal on Computing

Abstract

The job-shop scheduling problem is a notoriously difficult problem in combinatorial optimization. Although even modest sized instances remain computationally intractable, a number of important algorithmic advances have been made in recent years by J. Adams, E. Balas and D. Zawack; J. Carlier and E. Pinson; B. J. Lageweg, J. K. Lenstra and A. H. G. Rinnooy Kan; and others. Making use of a number of these advances, we have designed and implemented a new heuristic procedure for finding schedules, a cutting-plane method for obtaining lower bounds, and a combinatorial branch and bound algorithm. Our optimization procedure, combining the heuristic method and the combinatorial branch and bound algorithm, solved the well-known 10×10 problem of J. F. Muth and G. L. Thomson in under 7 minutes of computation time on a Sun Sparcstation 1. INFORMS Journal on Computing, ISSN 1091-9856, was published as ORSA Journal on Computing from 1989 to 1995 under ISSN 0899-1499.

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Metadata

Authors
Applegate, D., & Cook, W.
Venue
ORSA Journal on Computing
Published
1991-05
Volume
3
Issue
2
Pages
149-156
ISSN
  • 0899-1499 (ISSN-L)
  • 2326-3245
OpenAlex
W2071306171
Cited by
908
References
0
FWCI
32.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Computational Study of the Job-Shop Scheduling Problem. https://app.cochat.ai/papers/10.1287/ijoc.3.2.149
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Applegate, D., & Cook, W. (1991). A Computational Study of the Job-Shop Scheduling Problem. ORSA Journal on Computing. https://doi.org/10.1287/ijoc.3.2.149

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.