SCRO / Journées de l'optimisation

HEC Montréal, 29-31 mai 2023


HEC Montréal, 29 — 31 mai 2023

Horaire Auteurs Mon horaire

PMS Project Management and Scheduling

30 mai 2023 15h30 – 17h10

Salle: BMO - CSC (vert)

Présidée par Muhammad Atiq Ur Rehman

3 présentations

  • 15h30 - 15h55

    Allocation model for selecting project delivery systems for construction projects

    • Basma Ben Mahmoud, prés., Département de génie mécanique, Université Laval
    • Nadia Lehoux, Université Laval

    Delivering a construction project on time and under budget is still an increasingly complex and risky task. Multiple project delivery systems (PDS) such as design-bid-build, design-build, and construction management have been promoted to help achieve this goal. However, due to lack of understanding, owners usually tend to select the PDS based on generic approaches rather than structured decision-making techniques. Thus, this study aims to develop a decision-making tool to help owners choosing the suitable PDS while minimizing uncertainty and contingency. Using a linear programming model, each project will be assigned to the most appropriate PDS based on a list of indicators and data related to each project. The main objective of this model is to minimize the total budget of the project while respecting different constraints such as the project deadline, human resources availability, owners’ preferences to share risks and responsibilities, as well as to finance and control the project. The decision tool will also help the owner having a global view of the annual planning for his construction projects.

  • 15h55 - 16h20

    MILP models for scheduling of projects with various resource types

    • Nicklas Klein, University of Bern
    • Mario Gnägi, University of Bern
    • Norbert Trautmann, prés., University of Bern

    The execution of a project often requires two types of resources: renewable resources representing, e.g., staff members or equipment; and production and consumption resources representing, e.g., the project budget. We present a mixed-integer linear programming formulation for scheduling such a project which significantly outperforms state-of-the-art models from the literature.

  • 16h20 - 16h45

    Advanced Planning with Supplier Selection for Modular Construction Supply Chain Performance Improvement

    • Amin Chaabane, École de technologie supérieure
    • Sharfuddin Ahmed Khan ,
    • Muhammad Atiq Ur Rehman , prés.,

    The construction industry is increasingly considering digitization, automation, and Information and Communications Technology (ICT) and is shifting from traditional construction methods to modular construction (MC). If the construction supply chain supports this transformation, they need to be modified and strengthened using an adaptive logistics system to achieve better performance. However, numerous papers in the literature cited suppliers' lousy performance and the other project shareholders' lack of collaboration, resulting in project delays or cost overruns. This research aims to solve that problem by proposing an optimization model that can be utilized in a project's planning phase by selecting suppliers and the number of activities required to deliver a final modular construction project. For this reason, a generalized mixed integer linear programming (MILP) model is developed, and applied in a case study example in this work. The results show that it can improve the supply chain performance of a project if supplier and activities selection decision is optimized at the planning phase. This model will provide designers or higher management of a project to collaborate and evaluate different scenarios of modularity and suppliers and select the most cost or time-optimized solution for any MC project.