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A hybrid traceability technology selection approach for sustainable food supply chains

Published version
Peer-reviewed

Type

Article

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Authors

Islam, S 
Manning, L 
Cullen, JM 

Abstract

jats:pTraceability 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 the 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.</jats:p>

Description

Keywords

cold food chain, traceability technology, technology selection, fuzzy AHP, fuzzy TOPSIS, integer linear programming

Journal Title

Sustainability (Switzerland)

Conference Name

Journal ISSN

2071-1050
2071-1050

Volume Title

13

Publisher

MDPI AG
Sponsorship
Cambridge Trust and Commonwealth Scholarship Commissions