Publications / 2024 Proceedings of the 41st ISARC, Lille, France

Impacts of Multi-skills on Project Productivity and Completion Time: A Building Renovation Case Study

Muhammad Atiq Ur Rehman, Sharfuddin Ahmed Khan, Amin Chaabane
Pages 315-322 (2024 Proceedings of the 41st ISARC, Lille, France, ISBN 978-0-6458322-1-1, ISSN 2413-5844)
Abstract:

This paper delves into the complexities of integrated supply chain planning decisions and project management in the construction industry, specifically about multi-skill, resource-constrained, and multi-project scheduling problems. To address this issue, we propose a mathematical mixed-integer linear programming (MILP) model that optimizes schedules for multiple projects involving different activities, renewable resources, and skill sets. We test our solution in a real-world case study using data from a construction company in Canada specializing in building renovation. In addition, we conduct a sensitivity analysis to test the robustness of our model and how it can support managerial decision-making. Our results prove that the proposed decision support system (DSS) can help project managers and logistic coordinators achieve optimal integrated project scheduling and supply chain resource planning. Furthermore, it allows for better control over the impact of multi-skill requirements and renewable resources on construction supply chain performance. Finally, our new DSS provides valuable collaborative information to find areas for improved decision-making of project completion and workforce compression times.

Keywords: Construction project management, Scheduling, Assignment, Optimization, Multi-Skills