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An Out-of-Kilter Approach for Machine Sequencing Problems

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Symposium on the Theory of Scheduling and Its Applications

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 86))

Abstract

The primary objective of this paper is to develop an out-of-kilter algorithm to deal with the machine sequencing problem in which both job precedence and machine non-interference constraints are involved. This approach is inspired by the graph theoretical representation of the problem. In addition to the out-of-kilter concept, the algorithm employs a waiting feature and pertinent criteria for the selection of resolutions. The basic concepts of the approach are presented and the entire algorithm is then summarized and condensed to five basic steps. A sample problem is presented and manually solved to illustrate the technique to job-shop problems. Computational experiences as well as comparative evaluations of other existing techniques are included. Finally, a diagnostic view of the scheduling problem is reported with reference to specific characteristics which comprise a major share of the difficulty surrounding the problem.

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References

  1. Ashour, S. and M. N. Quarishi, “Investigation of Various Bounding Procedures for Production Scheduling Problems,” Int. Jnl. Prod. Research, Vol. 7 (1969), pp. 249–252.

    Article  Google Scholar 

  2. Ashour, S., “A Branch-and-Bound Algorithm for Flow-shop Scheduling Problems,” AIIE Transactions, Vol. 2 (1970), pp. 172–176.

    Google Scholar 

  3. Ashour, S., “An Experimental Investigation and Comparative Evaluation of Flow-Shop Scheduling Techniques,” Operations Research, Vol. 18 (1970), pp. 541–549.

    Article  Google Scholar 

  4. Ashour, S. and R. G. Parker, “A Precedence Graph Algorithm for the Shop Scheduling Problem,” Operations Research Quarterly, Vol. 22 (1971), pp. 165–175.

    Article  Google Scholar 

  5. Ashour, S. and S. R. Hiremath, “A Branch-and-Bound Approach to the Job-Shop Scheduling Problem,” Int. Jnl. Prod. Research, Vol. 9 (1972).

    Google Scholar 

  6. Ashour, S., K. Y. Chiu, and T. E. Moore, “An Optimal Schedule Time of a Job Shop-Like Disjunctive Graph,” submitted to Networks, January (1972).

    Google Scholar 

  7. Balas, E., “Discrete Programming by the Filter Method,” Operations Research, Vol. 15 (1967), p. 915.

    Article  Google Scholar 

  8. Balas, E., “Machine Sequencing via Disjunctive Graphs: An Implicit Enumeration Algorithm,” Operations Research, Vol. 17 (1969), pp. 941–957.

    Article  Google Scholar 

  9. Brooks, G. H. and C. White, “An Algorithm for Finding Optimal or Near Optimal Solutions to the Production Scheduling Problem,” Jnl. Ind. Engg., Vol. 16 (1965), pp. 34–40.

    Google Scholar 

  10. Charlton, J. M. and C. C. Death, “A Generalized Machine-scheduling Algorithm,” Operations Research Quarterly, Vol. 21 (1970), pp. 127–134.

    Article  Google Scholar 

  11. Charlton, J. M. and C. C. Death, “A Method of Solving for General Machiner Scheduling Problems,” Operations Research, Vol. 18 (1970), pp. 689–707.

    Article  Google Scholar 

  12. Fisher, H. and G. L. Thompson, “Probabilistic Learning Combinations of Local Job-shop Scheduling Rules,” Chapter 15 in Industrial Scheduling, Prentice-Hall Inc., Englewood Cliffs, N. J. (1963).

    Google Scholar 

  13. Florian, N., P. Frepant, and G. Mcmahon, “An Implicit Enumeration Algorithm for the Machine Sequencing Problem,” Management Science, Vol. 17 (1971), pp. B-782 — B-792.

    Article  Google Scholar 

  14. Greenberg, H., “Solution of the General Scheduling Problem,” Operations Research, Vol. 16 (1968), p. 353.

    Article  Google Scholar 

  15. Heller, J., “Some Numerical Experiments for an MXJ Flow-Shop and its Decision-Theoretical Aspects,” Operations Research, Vol. 8 (1960), pp. 178–184.

    Article  Google Scholar 

  16. Moore, T. E., K. Y. Chiu, and S. Ashour, “An Implicit Enumeration Algorithm for the Non-Preemptive Shop Scheduling Problem,” submitted to Operational Research Quarterly, February (1972).

    Google Scholar 

  17. Schrage, L., “Solving Resource-constrained Network Problems by Implicit Enumeration-Nonpreemptive Case,” Operations Research, Vol. 18 (1970), pp. 263–278.

    Article  Google Scholar 

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Ashour, S., Parker, R.G. (1973). An Out-of-Kilter Approach for Machine Sequencing Problems. In: Elmaghraby, S.E. (eds) Symposium on the Theory of Scheduling and Its Applications. Lecture Notes in Economics and Mathematical Systems, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80784-8_15

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  • DOI: https://doi.org/10.1007/978-3-642-80784-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-06437-4

  • Online ISBN: 978-3-642-80784-8

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