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An efficient ILP formulation for the single machine scheduling problem

Published online by Cambridge University Press:  08 February 2010

Cyril Briand ,
Samia Ourari  and
Brahim Bouzouia
Cyril Briand
Affiliation:
CNRS, LAAS, 7 avenue du colonel Roche, 31077 Toulouse, France; [email protected] Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, 31077 Toulouse, France; [email protected]
Samia Ourari
Affiliation:
CNRS, LAAS, 7 avenue du colonel Roche, 31077 Toulouse, France; [email protected] Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, 31077 Toulouse, France; [email protected] CDTA, lotissement du 20 août 1956, Baba Hassen, Alger, Algeria; [email protected]
Brahim Bouzouia
Affiliation:
CDTA, lotissement du 20 août 1956, Baba Hassen, Alger, Algeria; [email protected]
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Abstract

This paper considers the problem of scheduling n jobs on a single machine. A fixed processing time and an execution interval are associated with each job. Preemption is not allowed. On the basis of analytical and numerical dominance conditions, an efficient integer linear programming formulation is proposed for this problem, aiming at minimizing the maximum lateness (Lmax). Experiments have been performed by means of a commercial solver that show that this formulation is effective on large problem instances. A comparison with the branch-and-bound procedure of Carlier is provided.

Keywords

Single machine schedulinginteger linear programmingdominance conditions
Type
Research Article
Information
RAIRO - Operations Research , Volume 44 , Issue 1 , January 2010 , pp. 61 - 71
Copyright
© EDP Sciences, ROADEF, SMAI, 2010

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References

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