Supply Chain Planning at a Chemical Process Industry

Quttineh, Nils-Hassan, 1979- (author): Linköpings universitet,Optimeringslära,Tekniska högskolan

Lidestam, Helene (author): Linköpings universitet,Produktionsekonomi,Tekniska högskolan

Ahlstedt, Mårten (author): Linköpings universitet,Institutionen för ekonomisk och industriell utveckling,Tekniska högskolan

Olsson, Sven (author): Linköpings universitet,Kommunikations- och transportsystem,Tekniska högskolan

(creator_code:org_t)

Decision Sciences Institute, 2013
2013
English.
In: <em>Proceedings for Decision Science Institute (DSI 2013), The 44th Annual Meeting, 2013</em>. - : Decision Sciences Institute. ; , s. 671895 - 1-671895 - 19

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Abstract Subject headings

The purpose of this paper is to develop a mathematical optimization model that can be used as a decision support tool for the supply chain planning at Perstorp Oxo AB, a global company in the process industry. At their site in Stenungsund, Perstorp Oxo AB produce chemicals to customers in a variety of branches and for further refinement at other Perstorp sites in Gent, Castellanza and Perstorp. The customers are mainly in branches such as food and feed, leather and textile, plastic and safety glass production. Since Perstorp Oxo sells products to customers worldwide, two large inventory facilities are located in Antwerp (Belgium)and Tees (United Kingdom) for five product types each and two smaller facilities in Philadelphia (USA) and Aveiro (Portugal) for one type respectively. The developed model is a mixed-integer linear program, where the objective function maximizes the profit margin, that is, the difference between the selling price and the cost of production, transportation, inventory carrying and outsourcing. A solution to the model shows the quantities to be transported between the different sites, production rates, inventory levels, setups and purchases from external suppliers, each with its respective cost. The results of a baseline scenario show that there is a potential to increase profit margin by using a decision support tool based on an optimization model.

By the author/editor: Quttineh, Nils-H ...; Lidestam, Helene; Ahlstedt, Mårten; Olsson, Sven

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Mathematics; and Computational Ma ...

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