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A Lagrangean Based Branch and Bound Algorithm for Single Machine Sequencing with Precedence Constraints to Minimize Total Weighted Completion Time

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  • C. N. Potts

    (Department of Mathematics, University of Keele, Keele, Staffordshire ST5 5BG, United Kingdom)

Abstract

The single machine sequencing problem is considered in which there are precedence constraints on the jobs. The objective is to minimize the sum of weighted completion times. A lower bound is obtained by successively performing a Lagrangean relaxation of appropriate constraints. Each Lagrange multiplier is chosen to provide the maximum increment to the lower bound subject to retaining the nonnegativity of the coefficients of the variables. When no further suitable constraints can be introduced into the Lagrangean function, the variables having zero cost coefficient are used to obtain a feasible sequence which provides an upper bound. The gap between the lower and upper bound is reduced by removing some constraints from the Lagrangean function and replacing them with others. This lower bounding procedure is used in a branch and bound algorithm. Computational results indicate that the algorithm can satisfactorily solve problems with up to 100 jobs.

Suggested Citation

  • C. N. Potts, 1985. "A Lagrangean Based Branch and Bound Algorithm for Single Machine Sequencing with Precedence Constraints to Minimize Total Weighted Completion Time," Management Science, INFORMS, vol. 31(10), pages 1300-1311, October.
    • Handle: RePEc:inm:ormnsc:v:31:y:1985:i:10:p:1300-1311
    DOI: 10.1287/mnsc.31.10.1300
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    Cited by:

    1. Rostami, Salim & Creemers, Stefan & Leus, Roel, 2019. "Precedence theorems and dynamic programming for the single-machine weighted tardiness problem," European Journal of Operational Research, Elsevier, vol. 272(1), pages 43-49.
    2. François Margot & Maurice Queyranne & Yaoguang Wang, 2003. "Decompositions, Network Flows, and a Precedence Constrained Single-Machine Scheduling Problem," Operations Research, INFORMS, vol. 51(6), pages 981-992, December.
    3. Chung, Chia-Shin & Flynn, James & Kirca, Omer, 2002. "A branch and bound algorithm to minimize the total flow time for m-machine permutation flowshop problems," International Journal of Production Economics, Elsevier, vol. 79(3), pages 185-196, October.
    4. Yiyo Kuo & Sheng-I Chen & Yen-Hung Yeh, 2020. "Single machine scheduling with sequence-dependent setup times and delayed precedence constraints," Operational Research, Springer, vol. 20(2), pages 927-942, June.
    5. Ali Koç & David P. Morton, 2015. "Prioritization via Stochastic Optimization," Management Science, INFORMS, vol. 61(3), pages 586-603, March.
    6. Nicholas G. Hall & Marc E. Posner, 2001. "Generating Experimental Data for Computational Testing with Machine Scheduling Applications," Operations Research, INFORMS, vol. 49(6), pages 854-865, December.
    7. Tanaka, Shunji & Sato, Shun, 2013. "An exact algorithm for the precedence-constrained single-machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 345-352.
    8. Öncan, Temel & AltInel, I. Kuban, 2008. "Exact solution procedures for the balanced unidirectional cyclic layout problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 609-623, September.
    9. P. Detti & D. Pacciarelli, 2001. "A branch and bound algorithm for the minimum storage‐time sequencing problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(4), pages 313-331, June.
    10. Prahalad Venkateshan & Joseph Szmerekovsky & George Vairaktarakis, 2020. "A cutting plane approach for the multi-machine precedence-constrained scheduling problem," Annals of Operations Research, Springer, vol. 285(1), pages 247-271, February.

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    Keywords

    scheduling; branch and bound;

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