Experimental Implementation of a Resource-Constrained Multi-Project Scheduling Problem Solver

Abstract

Nowadays, project-based planning and execution are becoming more and more important in product life cycles; from the conceptual idea and its design to manufacturing and maintenance. Companies execute several projects simultaneously and these projects usually share the same resources resulting in conflicting situations. Since all projects have different requirements, constraints and goals that need to be achieved, the creation of a company-wide optimal schedule is difficult if all the aspects of each project are to be taken into consideration. Our paper presents an extended model and a scheduling problem-solving approach for resource-constrained, multi-project scheduling problems. In addition to defining the theoretical solution, its experimental implementation and results are presented.