EURO 2024 Copenhagen
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76. Workload-Based Extensions of Mixed-Integer Programming Models for Resource-Constrained Project Scheduling

Invited abstract in session MD-60: RCPSP and extensions, stream Project Management and Scheduling.

Monday, 14:30-16:00
Room: S09 (building: 101)

Authors (first author is the speaker)

1. Norbert Trautmann
Department of Business Administration, University of Bern
2. Jonas Saupe
University of Bern
3. Mario Gnägi
University of Bern

Abstract

Several mixed-integer programming models have been proposed for scheduling project activities under predefined resource capacities and precedence constraints. We introduce a model expansion that considers aggregated capacity limitations. A computational evaluation for three state-of-the-art models from the literature shows that the extension is advantageous for each of the tested models.

Keywords

Status: accepted


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