Title: Multi-objective mathematical model for the redesign of supply chains considering financial criteria optimisation and scenarios

Authors: John Willmer Escobar; Andres Arroyo Marin; Juan David Lince

Addresses: Department of Accounting and Finance, Faculty of Business Management, Universidad del Valle, Cali 76001000, Valle del Cauca, Colombia ' Department of Civil and Industrial Engineering, Pontificia Universidad Javeriana Cali, Cali 76001000, Valle del Cauca, Colombia ' Department of Civil and Industrial Engineering, Pontificia Universidad Javeriana Cali, Cali 76001000, Valle del Cauca, Colombia

Abstract: This paper considers the redesign problem of a supply chain for mass consumer products, considering financial criteria and scenarios of demand. An established supply chain is adopted as the starting point. The central problem lies in determining the closure and consolidation of distribution centres. The problem is solved using a multi-objective mixed-integer linear programming model, considering two objective functions: the maximisation of the net present value (NPV) of the supply chain and the minimisation of the financial risk. The efficiency of the mathematical model is tested with real data from a Colombian multinational manufacturer of mass consumer products. The results confirm the model's efficiency and the positive impact on the determination of the NPV and the financial risk of the company.

Keywords: supply chain optimisation; multi-objective mathematical model; net present value; NPV; financial risk; logistics; scenarios.

DOI: 10.1504/IJMOR.2020.105903

International Journal of Mathematics in Operational Research, 2020 Vol.16 No.2, pp.238 - 256

Received: 07 Apr 2018
Accepted: 02 Dec 2018
Published online: 16 Mar 2020 *

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