Modelling for decision support in the vegetable and fruit supply chain

    Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

    1 Citation (Scopus)

    Abstract

    Quality modelling in agri-supply chains has become increasingly popular in R&D environments, because of the availability of large amounts of experimental data and mathematical models. At the same time, in industrial supply chains a strong need exists for support in making complex decisions with respect to logistic, commercial, technical, financial and other aspects. Nevertheless, the majority of research models is not being used in real world applications. Our claim is that a more explicit analysis of specific decision-making processes will help to construct models that will be of use in practice. Therefore we propose to pay special attention to this aspect of the modelling process and to separate it from behavioural modelling. We distinguish between decision and control variables on one hand and behavioural variables on the other. Common modelling practice only deals with the latter. We review three cases from our own project experience with this conceptual distinction in mind: fresh-cut vegetables in MA-packaging, ripeness of mangoes and optimal planning of sowing and harvesting. This analysis has resulted in a systematic procedure to analyse the decision-making process and to construct context relevant models. Careful examination of potential applications along these lines will improve the interaction between users and developers of product and process models.
    Original languageEnglish
    Title of host publicationInternational Conference on Quality in Chains. An Integrated View on Fruit and Vegetable Quality
    EditorsL.M.M. Tijskens, H.m. Vollebregt
    Place of Publication[S.l.]
    PublisherISHS
    Pages189-197
    Publication statusPublished - 2003

    Keywords

    • vegetables
    • food supply
    • decision making
    • models
    • food quality
    • agro-industrial chains

    Fingerprint Dive into the research topics of 'Modelling for decision support in the vegetable and fruit supply chain'. Together they form a unique fingerprint.

    Cite this