Title: Methodology for robustness analysis to supply chain disruptions

Authors: Andrés Polo; Dairo Muñoz; Adrián Cañon; John Willmer Escobar

Addresses: Department of Industrial Engineering, Fundación Universitaria Agraria de Colombia (Uniagraria), Bogota 11001000, Bogotá, Distrito Capital, Colombia ' Department of Industrial Engineering, Fundación Universitaria Agraria de Colombia (Uniagraria), Bogota 11001000, Bogotá, Distrito Capital, Colombia ' Faculty of Business, Finance and Economic Sciences, Universidad EAN, Bogota 11001000, Bogotá, Distrito Capital, Colombia ' Department of Accounting and Finance, Faculty of Business Management, Universidad del Valle, Cali 76001000, Valle del Cauca, Colombia

Abstract: The objective of this paper is to develop a dynamic mixed integer linear programming model (MILP) of analysis of robustness to supply chain disruptions. The proposed approach allows analysing different causes of disruptions for supply chains, and how these interruptions prevent the bottom-of-the-pyramid (BoP) organisations from fulfilling their purpose of eradicating poverty. Critical operational performance indicators were used to evaluate the impacts of interruptions at the beginning of the supply chain and their implications for the BoP organisations. We consider different types of disruptions that mainly affect the first links of the chain of the BoP. In addition, the proposed approach measured the impact of the demand satisfaction of final products for the same population. The efficiency of the proposed approach has been tested using real data obtained from a dairy supply chain management in Cundinamarca (Colombia). The obtained results show the benefits of the proposed model.

Keywords: bottom-of-the-pyramid markets; supply chain disruptions; robustness; milk supply chain.

DOI: 10.1504/IJLSM.2020.108952

International Journal of Logistics Systems and Management, 2020 Vol.36 No.4, pp.547 - 588

Received: 23 Feb 2018
Accepted: 29 Nov 2018

Published online: 30 Jul 2020 *

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