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Scheduling resource-constrained projects with a flexible project structure

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  • Kellenbrink, Carolin
  • Helber, Stefan

Abstract

In projects with a flexible project structure, the activities that have to be scheduled are not completely known beforehand. Instead, scheduling such a project includes the decision whether to carry out particular activities at all. This also effects precedence constraints between the finally implemented activities. However, established model formulations and solution approaches for the resource-constrained project scheduling problem (RCPSP) assume that the project structure is given in advance. In this paper, the traditional RCPSP is hence extended by a highly general model-endogenous decision on this flexible project structure. This is illustrated by the example of the aircraft turnaround process at airports. We present a genetic algorithm to solve this type of scheduling problem and evaluate it in an extensive numerical study.

Suggested Citation

  • Kellenbrink, Carolin & Helber, Stefan, 2013. "Scheduling resource-constrained projects with a flexible project structure," Hannover Economic Papers (HEP) dp-511, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  • Handle: RePEc:han:dpaper:dp-511
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    References listed on IDEAS

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    Cited by:

    1. Schnabel, André & Kellenbrink, Carolin & Helber, Stefan, 2017. "Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints," Hannover Economic Papers (HEP) dp-593, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Kellenbrink, Carolin & Helber, Stefan, 2014. "Quality- and profit-oriented scheduling of flexible resource-constrained projects," Hannover Economic Papers (HEP) dp-549, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

    More about this item

    Keywords

    Project scheduling; Genetic algorithms; RCPSP; Flexible projects;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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