Integrated planning of project scheduling and material ordering (PSMO) for multiple construction sites can provide more coordination between the different members of the construction supply chain (CSC), leading to total cost reduction for the entire supply chain. Hence, this project addresses the PSMO problem for a two-echelon construction supply chain composed of a manufacturer of prefabricated products, a warehouse, and multiple construction sites where multiple independent construction projects are planned. Consequently, we have developed a mixed-integer linear programming model to determine the project schedule and the material ordering plan and quantity while minimizing the overall costs related to the manufacturer, the warehouse, and the construction sites. The objective function consists of manufacturing cost, ordering cost, transportation costs, inventory holding costs, activities cost, and penalty or reward cost due to early or late completion of the project. The duration of project activities is treated as a decision variable that may be subject to crashing. The model was implemented using Pyomo, a Python-based open-source optimization modeling language. Then, the applicability and the efficiency of the proposed model were tested through a numerical example to demonstrate the benefits of CSC integration. The presented model falls within the class of NP-Hard problems; therefore, a decomposition procedure was suggested to serve as a solution methodology for large problems. Then, some modifications within the model were considered to approach the optimal solution. Limitations and future work directions regarding this problem were provided.
| Date | 26 Jan 2022 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Amin Chaabane (Supervisor) |
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Ben Sassi, O. (Author),
Chaabane (Supervisor),
26 Jan 2022Student thesis: Master's thesis › Master in Engineering: Automated Manufacturing Engineering