Modeling intermediate product selection under production and storage capacity limitations in food processing

Onur Alper Kilic, Renzo Akkerman, Martin Grunow, Dirk Pieter van Donk

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    In the food industry products are usually characterized by their recipes, which are specified by various quality attributes. For end products, this is given by customer requirements, but for intermediate products, the recipes can be chosen in such a way that raw material procurement costs and processing costs are minimized. However, this product selection process is bound by production and storage capacity limitations, such as the number and size of storage tanks or silos. In this paper, we present a mathematical programming approach that combines decision making on product selection with production and inventory planning, thereby considering the production and storage capacity limitations. The resulting model can be used to solve an important practical problem typical for many food processing industries.
    Original languageEnglish
    Title of host publicationProceedings of the 2009 IEEE International Conference on Industrial Engineering and Engineering Management
    PublisherIEEE
    Publication date2009
    Pages1077-1081
    ISBN (Print)978-1-4244-4870-8
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Industrial Engineering and Engineering Management - Hong Kong
    Duration: 1 Jan 2009 → …

    Conference

    Conference2009 IEEE International Conference on Industrial Engineering and Engineering Management
    CityHong Kong
    Period01/01/2009 → …

    Cite this

    Kilic, O. A., Akkerman, R., Grunow, M., & van Donk, D. P. (2009). Modeling intermediate product selection under production and storage capacity limitations in food processing. In Proceedings of the 2009 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1077-1081). IEEE. https://doi.org/10.1109/IEEM.2009.5372945