A Knowledge Network and Mobilisation Framework for Lean Supply Chain Decisions in Agri-Food Industry

Huilan Chen, Shaofeng Liu and Festus Oderanti
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Huilan Chen: University of Plymouth, Plymouth, United Kingdom
Shaofeng Liu: University of Plymouth, Plymouth, United Kingdom
Festus Oderanti: University of Hertfordshire, Hatfield, United Kingdom

International Journal of Decision Support System Technology (IJDSST), 2017, vol. 9, issue 4, 37-48

Abstract: Making the right decisions for food supply chain is extremely important towards achieving sustainability in agricultural businesses. This paper explores that knowledge sharing to support food supply chain decisions to achieve lean performance (i.e. to reduce/eliminate non-value-adding activities, or “waste” in lean term). The focus of the paper is on defining new knowledge networks and mobilisation approaches to address the network and community nature of current supply chains. Based on critical analysis of the state-of-the-art in the topic area, a knowledge network and mobilisation framework for lean supply chain management has been developed. The framework has then been evaluated using a case study from the food supply chain. Analytic Hierarchy Process (AHP) has been used to incorporate expert's view on the defined knowledge networks and mobilisation approaches with respect to their contribution to achieving various lean performance objectives. The results from the work have a number of implications for current knowledge management and supply chain management in theory and in practice.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:9:y:2017:i:4:p:37-48

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