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Supply Chain Modeling for a Process Industry

Supply Chain Modeling for a Process Industry

Nils-Hassan Quttineh, Helene Lidestam, Mårten Ahlstedt, Sven Olsson
Copyright: © 2017 |Volume: 8 |Issue: 2 |Pages: 20
ISSN: 1947-9328|EISSN: 1947-9336|EISBN13: 9781522513308|DOI: 10.4018/IJORIS.2017040102
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MLA

Quttineh, Nils-Hassan, et al. "Supply Chain Modeling for a Process Industry." IJORIS vol.8, no.2 2017: pp.36-55. http://doi.org/10.4018/IJORIS.2017040102

APA

Quttineh, N., Lidestam, H., Ahlstedt, M., & Olsson, S. (2017). Supply Chain Modeling for a Process Industry. International Journal of Operations Research and Information Systems (IJORIS), 8(2), 36-55. http://doi.org/10.4018/IJORIS.2017040102

Chicago

Quttineh, Nils-Hassan, et al. "Supply Chain Modeling for a Process Industry," International Journal of Operations Research and Information Systems (IJORIS) 8, no.2: 36-55. http://doi.org/10.4018/IJORIS.2017040102

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Abstract

Process industries of today differ from other industries in many aspects. The purpose of this paper is to consider these special properties of process industries when developing a mathematical model that can be used as a decision support tool for the supply chain planning for a chemical process industry in Sweden. A mixed-integer linear programming model is developed, and solutions to the model present how the products will be transported between the different sites of the company, the levels of the inventories, the setups and purchases from the external suppliers and also the production rates. The mathematical model takes many special properties regarding process industries into account. By using the results from the model and test different scenarios, the model can be used as an important support tool when making decisions. The decision support tool can for example be used in the company's budget process and thereby improve the chances of future profits increases.

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