Home // SIMUL 2020, The Twelfth International Conference on Advances in System Simulation // View article
Authors:
Mathias Kühn
Thorsten Schmidt
René Schöne
Dmytro Pukhkaiev
Uwe Aßmann
Keywords: stochastic processes; scheduling algorithms; benchmark testing
Abstract:
Solving Stochastic Resource-Constrained Multi- Project Scheduling Problems (SRCMPSP) is an upcoming topic. Numerous variants, smaller batch sizes and shorter product life cycles lead to more uncertainty. In Production Planning and Control (PPC), stochastic scheduling approaches are coming into focus. The schedule thus is determined during production without following a baseline schedule. In our research project Hybrid PPC, we develop robust heuristics for stochastic project scheduling. The purpose of the approach is a central, simulationbased generation of a decentralized control system. As part of the research, we investigate benchmarking of SRCMPSP, evaluation strategies, as well as heuristic and solution robustness.
Pages: 15 to 18
Copyright: Copyright (c) IARIA, 2020
Publication date: October 18, 2020
Published in: conference
ISSN: 2308-4537
ISBN: 978-1-61208-831-0
Location: Porto, Portugal
Dates: from October 18, 2020 to October 22, 2020