Exploring Indicators for Multiple Modes in Resource-Constrained Project Scheduling
DS 134: Proceedings of the 26th International DSM Conference (DSM 2024), Stuttgart, Germany
Year: 2024
Editor: Harold (Mike) Stowe; Christopher Langner; Matthias Kreimeyer; Tyson R. Browning; Steven D. Eppinger; Ali A. Yassine
Author: Gergely Lajos Novak; Zsolt Tibor Kosztyan
Series: DSM
Institution: Continental Automotive Hungary Ltd., Hungary; University of Pannonia, Hungary
Page(s): 108-117
DOI number: 10.35199/dsm2024.12
Abstract
Project scheduling is a critical aspect across various industries that is still extensively studied. Unlike project plans for the resource-constrained project scheduling problem, those in the multi-mode extension (MRCPSP) remain relatively unexplored regarding project characteristics and their implications. The present study explores artificial project plans featuring multiple modes to address this gap. The lower and upper bounds are determined for the adapted project-related indicator groups using metaheuristic optimization as a mode selection strategy. Our approach contributes by offering insights into the multi-mode context and characteristics influencing project scheduling and managerial decisions.
Keywords: project scheduling, multi-mode, project databases, project indicators, MRCPSP