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 494994
Title A sustainability Driven Methodology for Process Synthesis in Agro-Food Industry
Author(s) Jonkman, J.; Bloemhof-Ruwaard, J.M.; Vorst, J.G.A.J. van der; Padt, A. van der
Source In: Book of Abstracts 31 May-4 June 2015 Bella Center, Copenhagen, Denmark. - Lyngby, Denmark : DTU - ISBN 9788793054721 - p. 145 - 145.
Event Lyngby, Denmark : DTU - ISBN 9788793054721 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, 2015-06-02
Department(s) Operations Research and Logistics
WASS
Food Process Engineering
VLAG
Publication type Contribution in proceedings
Publication year 2015
Abstract Within the agro-food industry, agro-materials are converted into a range of valuable semi-finished and finished products. To reach a sustainable, resource efficient food system, the optimal process pathways converting the agro-material into these products have to be identified. To identify these pathways, a
systematic Process Synthesis (PS) method is needed for the agro-food industry. This sustainability driven PS method should enable the synthesis of the optimal process pathways, converting an agro-material into a range of valuable products, producing minimal waste or low-value by-products. In this paper, the elements required for such a method are proposed. The relevance of these elements is illustrated with a simple illustrative case for the processing of tropical fruit. The proposed approach uses Multi-Objective Optimisation methods, to provide decision support for PS to decision makers in the agro-food industry. This leads to new insights in optimal pathways for processing agro-materials for the agro-food industry.

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