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Abstract

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Sensor Review, vol. 19 no. 2
Type: Research Article
ISSN: 0260-2288

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Content available
Article
Publication date: 1 January 2006

79

Abstract

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Aircraft Engineering and Aerospace Technology, vol. 78 no. 1
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 17 April 2009

Don Braggins

641

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Assembly Automation, vol. 29 no. 2
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 17 April 2009

60

Abstract

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Assembly Automation, vol. 29 no. 2
Type: Research Article
ISSN: 0144-5154

Content available
Article
Publication date: 1 December 2002

45

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Sensor Review, vol. 22 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 1 April 2006

Clive Loughlin

248

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Sensor Review, vol. 26 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 1 April 2006

Duncan McFarlane and Andrew Shaw

416

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Sensor Review, vol. 26 no. 2
Type: Research Article
ISSN: 0260-2288

Content available
51

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Sensor Review, vol. 24 no. 1
Type: Research Article
ISSN: 0260-2288

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Content available
152

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Assembly Automation, vol. 21 no. 4
Type: Research Article
ISSN: 0144-5154

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Open Access
Article
Publication date: 16 October 2017

Ray Zhong, Xun Xu and Lihui Wang

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be…

115494

Abstract

Purpose

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

Design/methodology/approach

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

Findings

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

Research limitations/implications

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Practical implications

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

Social implications

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

Originality/value

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.

Details

Industrial Management & Data Systems, vol. 117 no. 9
Type: Research Article
ISSN: 0263-5577

Keywords

1 – 10 of 196