Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 400481
Title A framework for early warning and proactive control systems in food supply chain networks
Author(s) Li, Y.; Kramer, M.R.; Beulens, A.J.M.; Vorst, J.G.A.J. van der
Source Computers in Industry 61 (2010)9. - ISSN 0166-3615 - p. 852 - 862.
DOI https://doi.org/10.1016/j.compind.2010.07.010
Department(s) Information Technology
Operations Research and Logistics
WASS
Publication type Refereed Article in a scientific journal
Publication year 2010
Keyword(s) decision-support-system - knowledge management - ontologies - methodologies - intelligence - integration - principles
Abstract It is inherent to food supply chain networks that performance deviations occur occasionally due to variations in product quality and quantity. To reduce losses, one wants to be informed about such deviations as soon as possible, preferably even before they occur. Then it is possible to take actions to prevent or reduce negative consequences. In practice, extensive operational data is recorded, forming a valuable source for early warning and proactive control systems, i.e. decision support systems for prediction and prevention of such performance problems. Data mining methods are ideal for analyzing such data sources and extracting useable information from them. In this paper, we present a novel framework for early warning and proactive control systems that combine expert knowledge and data mining methods to exploit recorded data. We discuss the implementation of a prototype system and the experiences from a case study regarding the applicability of the framework
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