Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 551821
Title Resilient food supply chain design: Modelling framework and metaheuristic solution approach
Author(s) Bottani, Eleonora; Murino, Teresa; Schiavo, Massimo; Akkerman, Renzo
Source Computers & Industrial Engineering 135 (2019). - ISSN 0360-8352 - p. 177 - 198.
DOI https://doi.org/10.1016/j.cie.2019.05.011
Department(s) Operations Research and Logistics
WASS
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Ant colony optimization - Food supply chain design - Multi-objective optimization - Multiple-sourcing policy - Resilient supply chain design - Supply chain management
Abstract

This paper addresses the Resilient Food Supply Chain Design (RFSCD) problem, which is the problem of designing a food supply chain that is resilient enough to ensure business operations continuity in the event of risks or disruptions. Based on a graph theory representation of the food supply chain, this paper proposes a bi-objective mixed-integer programming formulation for this problem. The objectives are to (1) maximize the total profit over a one-year time span and (2) minimize the total lead time of the product along the supply chain. To solve the model, an Ant Colony Optimization (ACO) algorithm is presented. The developed model is suitable for adoption for the design of a multi-product resilient food supply chain that makes use of a multiple sourcing policy to deal with unexpected fluctuations of market demand and disruptions in raw materials supply. The adapted ACO algorithm is tested on a case study, referring to the SC of readymade UHT tomato sauce, which is particularly vulnerable to such risks.

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