https://doi.org/10.24928/2023/0203

Development of an Optimization Model Based on Business Process Re-Engineering to Minimize Construction Projects Delay

Muhammad Atiq Ur Rehman¹, Sharfuddin Ahmed Khan², Taha Arbaoui³, Mickael Huot⁴ & Amin Chaabane⁵

¹Lean Construction (LC), Construction Supply Chain (CSC), Optimization, Offsite Construction, Scheduling
²Assistant Professor, Department of Systems Engineering,University of Regina, 3737 Wascana Pkwy, Regina, SK S4S 0A2, Canada, [email protected], orcid.org/0000-0002-5822-0933
³Associate Professor, Laboratory of Industrial System Optimization, University of Technology of Troyes , 12 rue Marie Curie CS 42060 10004 TROYES CEDEX , France , [email protected]/ 0000-0001-8984-2375
⁴Co-Founder - Chief Analyst , Ariv , 321 Rue Saint-Charles O, Longueuil, QC J4H 1E5, Canada , [email protected]
⁵4 Co-Founder - Chief Analyst , Ariv , 321 Rue Saint-Charles O, Longueuil, QC J4H 1E5, Canada , [email protected]

Abstract

Related decisions can affect project scheduling in a construction supply chain (CSC). After all, the project activities require vital resources and collaboration among project stakeholders. That effects can occur negatively, such as delay, budget overrun, and project performance. These effects are considered wastes in lean construction (LC). The concept of LC is still limited regarding application in CSC. This study aims to develop a decision-making model (LC tool) to minimize project delays using a mixed integer linear programming optimization model. The proposed model is triggered by the business process re-engineering of the scheduling process. A construction company case example that delivers construction renovation projects to its customers is considered for validation. This approach is applied in two stages. In the first stage, the information process flow of the company is developed to derive the inputs required for the logistics and scheduling optimization model. Then in the second stage, the mathematical model is developed based on the inputs to generate optimal supplier selection, projects schedules, and resource utilization decisions. By using the proposed LC tool, the results show that delays in multiple projects can be minimized. Finally, decision-makers can use this technique to manage concurrent projects and suppliers that leanly provide essential resources to these projects.

Keywords

Lean Construction (LC), Construction Supply Chain (CSC), Optimization, Offsite Construction, Scheduling

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Reference

Rehman, M. A. U. , Khan, S. A. , Arbaoui, T. , Huot, M. & Chaabane, A. 2023. Development of an Optimization Model Based on Business Process Re-Engineering to Minimize Construction Projects Delay , Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) , 1709-1720. doi.org/10.24928/2023/0203

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