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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kilic, O.A. Akkerman, R. Grunow, M. van Donk, D.P. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Management Engineering, Technical University of Denmark, Kgs. Lyngby (Copenhagen), Denmark (Akkerman, R.; Grunow, M.) || Faculty of Economics and Business, University of Groningen, The Netherlands (Kilic, O.A.; van Donk, D.P.) |
| 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. |
| Starting Page | 1077 |
| Ending Page | 1081 |
| File Size | 611093 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448692 |
| DOI | 10.1109/IEEM.2009.5372945 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Procurement Production systems lot scheduling Costs MILP postponement Process planning Raw materials intermediate storage product selection Production planning Food industry food industry production and inventory planning Capacity planning Mathematical programming Manufacturing systems |
| Content Type | Text |
| Resource Type | Article |
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