Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Mining logistics data to assure the quality in a sustainable food supply chain: a case in the red wine industry

Ting, S.L., Tse, Y.K., Ho, G.T.S., Chung, S.H. and Pang, G. 2014. Mining logistics data to assure the quality in a sustainable food supply chain: a case in the red wine industry. International Journal of Production Economics 152 , pp. 200-209. 10.1016/j.ijpe.2013.12.010

Full text not available from this repository.

Abstract

In recent years, food supply chains have faced increased quality risk, caused by the extended global supply chain and increased consumer demands on quality and safety. Given the concern regarding quality sustainability in the food supply chain, much attention is being paid to continuous planning and monitoring of quality assurance practices in the supply chain network. In this research, we propose a supply chain quality sustainability decision support system (QSDSS), adopting association rule mining and Dempster's rule of combination techniques. The aim of QSDSS is to support managers in food manufacturing firms to define good logistics plans in order to maintain the quality and safety of food products. We conduct a case study of a Hong Kong red wine company in order to illustrate the applicability and effectiveness of QSDSS. Implications of the proposed approach are discussed, and suggestions for future work are outlined.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Publisher: Elsevier
ISSN: 0925-5273
Date of Acceptance: 9 December 2013
Last Modified: 08 Apr 2020 09:39
URI: https://orca.cardiff.ac.uk/id/eprint/130799

Citation Data

Cited 75 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item