A Hybrid Traceability Technology Selection approach for Sustainable Food Supply Chains

Islam, S, Manning, L and Cullen, J (2021) A Hybrid Traceability Technology Selection approach for Sustainable Food Supply Chains. Sustainability, 13 (16). ISSN 2071-1050

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Abstract

Traceability technologies have great potential to improve sustainable performance in cold food supply chains by reducing food loss. In existing approaches, traceability technologies are selected either intuitively or through a random approach, that neither considers the trade-off between multiple cost-benefit technology criteria nor systematically translates user requirements for traceability systems into the selection process. This paper presents a hybrid approach combining Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with integer linear programming to select the optimum traceability technologies for improving sustainable performance in cold food supply chains. The proposed methodology is applied in four case studies utilising data collected from literature and expert interviews. The proposed approach can assist decision-makers e.g., food business operators and technology companies to identify what combination of technologies best suits a given food supply chain scenario and reduces food loss at minimum cost.

Item Type: Article
Keywords: cold food chain, traceability technology, technology selection, fuzzy AHP, fuzzy TOPSIS, integer linear programming
Divisions: Agriculture, Food and Environment
Depositing User: Professor Louise Manning
Date Deposited: 03 Sep 2021 14:30
Last Modified: 03 Sep 2021 14:30
URI: https://rau.repository.guildhe.ac.uk/id/eprint/16472

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