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Multi-criteria assignment problem with incompatibility and capacity constraints

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  • Bernard Roy
  • Roman Słowiński

Abstract

The considered assignment problem generalizes its classical counterpart by the existence of some incompatibility constraints limiting the assignment of tasks to processing units within groups of mutually exclusive tasks. The groups are defined for each processing unit and the constraints allow at most one task from each group to be assigned to the corresponding processing unit. The processing units can normally process a certain number of tasks without any cost; this capacity can be extended, however, at some extra marginal cost that is non-decreasing with the number of additional tasks. Each task has to be assigned to exactly one processing unit and has some preference for the assignment; it is expressed for each pair ‘task-processing unit’ by a dissatisfaction degree. The quality of feasible assignments is evaluated by three criteria: g 1 -the maximum dissatisfaction of tasks, g 2 -the total dissatisfaction of tasks, g 3 -the total cost of processing units. If there is no feasible assignment, tasks and processing units creating a blocking configuration are identified and all actions of unblocking are proposed. Formal properties of blocking configurations and unblocking actions are proven, and an interactive procedure for exploring the set of non-dominated assignments is described together with illustrative examples processed by special software. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Bernard Roy & Roman Słowiński, 2006. "Multi-criteria assignment problem with incompatibility and capacity constraints," Annals of Operations Research, Springer, vol. 147(1), pages 287-316, October.
    • Handle: RePEc:spr:annopr:v:147:y:2006:i:1:p:287-316:10.1007/s10479-006-0070-3
    DOI: 10.1007/s10479-006-0070-3
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    Cited by:

    1. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2020. "Loading tow trains ergonomically for just-in-time part supply," European Journal of Operational Research, Elsevier, vol. 284(1), pages 325-344.
    2. Xiaoping Li & Dan Zhu, 2011. "Object technology software selection: a case study," Annals of Operations Research, Springer, vol. 185(1), pages 5-24, May.
    3. Jarosław Wątróbski & Ewa Ziemba & Artur Karczmarczyk & Jarosław Jankowski, 2018. "An Index to Measure the Sustainable Information Society: The Polish Households Case," Sustainability, MDPI, vol. 10(9), pages 1-30, September.

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