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Samantha Islam
Energy, Fluids and Turbomachinery Division, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK

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Journal article
Published: 21 August 2021 in Sustainability
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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 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.

ACS Style

Samantha Islam; Louise Manning; Jonathan M. Cullen. A Hybrid Traceability Technology Selection Approach for Sustainable Food Supply Chains. Sustainability 2021, 13, 9385 .

AMA Style

Samantha Islam, Louise Manning, Jonathan M. Cullen. A Hybrid Traceability Technology Selection Approach for Sustainable Food Supply Chains. Sustainability. 2021; 13 (16):9385.

Chicago/Turabian Style

Samantha Islam; Louise Manning; Jonathan M. Cullen. 2021. "A Hybrid Traceability Technology Selection Approach for Sustainable Food Supply Chains." Sustainability 13, no. 16: 9385.

Review article
Published: 22 April 2021 in Trends in Food Science & Technology
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Traceability of food products, ingredients and associated operations are important requirements for improving food safety and consumer confidence. Food traceability systems (FTSs) often suffer from inefficiency in either material or information flow within an enterprise or between supply chain partners. Modelling of system architecture is a visualisation approach that allows multiple parties to collaborate in a system design process, identify its inefficiencies and propose improvements. However, there is little academic research on the ability to use a standard visualisation tool that supports collaborative design and considers both material and information flow for a given food traceability system. The aim of this research is to propose a new visualisation approach that allows supply chain operators to collaborate effectively in the design process of FTSs capable of maintaining streamlined information flow, minimising information loss, and improving supply chain performance. Food traceability systems are complex, encompassing processes, material flow, information flow, techniques, infrastructure, people and control strategies. Screening of literature demonstrates that model-based system engineering (MBSE) offers a sound way for visualisation of such complex systems. However, in the food traceability literature, an MBSE-based standardised traceability system modelling approach is absent. This study makes a strong contribution to existing literature by proposing a novel, material and information flow modelling technique (MIFMT), to visualise FTS architecture. MIFMT can support common understanding and iterative implementation of effective FTSs that contextualise food supply chains at multiple levels and provides opportunity to identify points at where inefficiencies can occur so that actions can be taken to mitigate them.

ACS Style

Samantha Islam; Jonathan M. Cullen; Louise Manning. Visualising food traceability systems: A novel system architecture for mapping material and information flow. Trends in Food Science & Technology 2021, 112, 708 -719.

AMA Style

Samantha Islam, Jonathan M. Cullen, Louise Manning. Visualising food traceability systems: A novel system architecture for mapping material and information flow. Trends in Food Science & Technology. 2021; 112 ():708-719.

Chicago/Turabian Style

Samantha Islam; Jonathan M. Cullen; Louise Manning. 2021. "Visualising food traceability systems: A novel system architecture for mapping material and information flow." Trends in Food Science & Technology 112, no. : 708-719.

Review article
Published: 02 January 2021 in Food Control
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Numerous studies have been performed in food traceability, but there is no common, clear understanding of its theoretical concepts which are scattered and disjointed across the literature. Existing studies are mainly concerned with practical implementation and the theoretical concepts derive from that approach. As a result, various definitions, classifications and inconsistent principles have been proposed which hamper clear understanding and further development of the field. Thus, this study aims to coalesce the proposed and emergent fundamental concepts of food traceability in a generic theoretical framework. To this end, we have used an iterative approach to review and synthesize the papers in the field most relevant to our enquiry, consolidate proposed drivers and beneficiaries, highlight the main typologies, and as a result, propose a revised definition of food traceability and four associated principles. Different information is recorded in a traceability system, depending on the underlying drivers, for example, legislation, food safety, sustainability, or consumer satisfaction. In this paper traceability approaches are categorised by an iterative typology, as internal or external and the implementation of traceability systems is organised according to four consolidated principles: identification, data recording, data integration and accessibility. It is proposed that the collation of existing approaches into a cohesive theoretical framework will improve understanding and the effective implementation of food traceability systems.

ACS Style

Samantha Islam; Jonathan M. Cullen. Food traceability: A generic theoretical framework. Food Control 2021, 123, 107848 .

AMA Style

Samantha Islam, Jonathan M. Cullen. Food traceability: A generic theoretical framework. Food Control. 2021; 123 ():107848.

Chicago/Turabian Style

Samantha Islam; Jonathan M. Cullen. 2021. "Food traceability: A generic theoretical framework." Food Control 123, no. : 107848.