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Designing a supply chain network integrating financial dimensions

Abstract : This thesis focuses on the development of a mathematical model and optimization algorithms for the design of a supply chain integrating financial dimensions. We propose a capacitated, multi-period, single-echelon, single-product model. The objective function to be maximized is the firm's value, represented by its Adjusted Present Value (APV). The decision binary variables are related to the location of logistics facilities; the continuous variables concern product flows and debt planning. The mathematical model is first evaluated by solving a set of generated instances using a state-of-the-art solver. We propose a sequential approach, consisting in optimizing the logistic variables first, then the financial variables. Then, we propose an optimization procedure based on the Large Neighborhood Search (LNS) metaheuristic to solve larger instances. Finally, consider the logistic and financial dimensions as two independent objectives. The multi-directional local search (MDLS) is employed to solve the bi-objective model by embedding the LNS into that framework. Extensive numerical experiments assess the relevance of our model and compare the performance of our algorithms to those of the solver.
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Submitted on : Friday, October 21, 2022 - 5:34:55 PM
Last modification on : Sunday, October 23, 2022 - 4:40:42 AM


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  • HAL Id : tel-03824904, version 1


Hamidreza Rezaei. Designing a supply chain network integrating financial dimensions. Operations Research [cs.RO]. Ecole nationale supérieure Mines-Télécom Atlantique, 2022. English. ⟨NNT : 2022IMTA0302⟩. ⟨tel-03824904⟩



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