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The resource dependent assignment problem with a convex agent cost function

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  • Yedidsion, Liron
  • Shabtay, Dvir

Abstract

We study the resource dependent assignment problem (RDAP), for which the cost of assigning agent j to task i is a multiplication of task i’s cost parameter by a cost function of agent j, which is a convex function of the amount of resource allocated for the agent to execute his task. The quality of a solution is measured by two criteria. The first is the total assignment cost, and the second is the total weighted resource consumption. We consider four different variations of the RDAP and prove that three are NP-hard, while the last is polynomially solvable under some acceptable assumptions. In our NP-hardness proof we use a very general instance which makes the proof applicable to a large set of special cases of the RDAP, including several important scheduling problems whose complexity was unresolved heretofore. In addition, we design a novel approximation algorithm for one of the NP-hard variations of the RDAP with a very tight approximation ratio for any practical problem found in the literature.

Suggested Citation

  • Yedidsion, Liron & Shabtay, Dvir, 2017. "The resource dependent assignment problem with a convex agent cost function," European Journal of Operational Research, Elsevier, vol. 261(2), pages 486-502.
    • Handle: RePEc:eee:ejores:v:261:y:2017:i:2:p:486-502
    DOI: 10.1016/j.ejor.2017.03.004
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    References listed on IDEAS

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    1. Dvir Shabtay & George Steiner, 2008. "The single-machine earliness-tardiness scheduling problem with due date assignment and resource-dependent processing times," Annals of Operations Research, Springer, vol. 159(1), pages 25-40, March.
    2. Clyde L. Monma & Alexander Schrijver & Michael J. Todd & Victor K. Wei, 1990. "Convex Resource Allocation Problems on Directed Acyclic Graphs: Duality, Complexity, Special Cases, and Extensions," Mathematics of Operations Research, INFORMS, vol. 15(4), pages 736-748, November.
    3. Chung-Yee Lee & Lei Lei, 2001. "Multiple-Project Scheduling with Controllable Project Duration and Hard Resource Constraint: Some Solvable Cases," Annals of Operations Research, Springer, vol. 102(1), pages 287-307, February.
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    Cited by:

    1. Xuyin Wang & Weiguo Liu, 2024. "Optimal Different Due-Date Assignment Scheduling with Group Technology and Resource Allocation," Mathematics, MDPI, vol. 12(3), pages 1-17, January.

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