Applying heuristics in supply chain planning in the process industry
- 1 January 2020
- journal article
- research article
- Published by Growing Science in International Journal of Industrial Engineering Computations
- Vol. 11 (4), 585-606
- https://doi.org/10.5267/j.ijiec.2020.4.004
Abstract
In this paper a mixed-integer linear programming (MILP) model is developed to be used as a decision support tool for the chemical company Perstorp Oxo AB. The intention with the mathematical model is to maximize the profit and the model can be used in the process of planning the supply chain for the company. Perstorp Oxo is classified as a global company in the process industry and is has production sites in Gent, Castellanza, Stenungsund and Perstorp. The site in Stenungsund is in focus in this paper. The company produces chemicals that later are used for example in textiles, plastic and glass production. Perstorp Oxo also uses inventories in other countries for enabling the selling abroad. It has two larger inventories in Antwerp and in Tees and two smaller in Philadelphia and in Aveiro. The larger facilities store five different products and the smaller take care of one type each. To be able to find feasible and profitable production plans for the company we have developed and implemented rolling horizon techniques for a time horizon of one year and used real sales data. The outcomes from the model show the transportation of products between different production sites, the different production rates, the levels of inventory, setups and purchases from external suppliers. The numerical results are promising and we conclude that a decision support tool based on an optimization model could improve the situation for the planners at Perstorp Oxo AB. (C) 2020 by the authors; licensee Growing Science, CanadaKeywords
This publication has 24 references indexed in Scilit:
- Progresses and challenges in process industry supply chains optimizationCurrent Opinion in Chemical Engineering, 2012
- Plant-wide utility disturbance management in the process industryComputers & Chemical Engineering, 2012
- Energy management practices in Swedish energy-intensive industriesJournal of Cleaner Production, 2010
- Furniture supply chain tactical planning optimization using a time decomposition approachEuropean Journal of Operational Research, 2008
- Supply chain management in forestry––case studies at Södra Cell ABEuropean Journal of Operational Research, 2005
- Supply chain management and advanced planning––basics, overview and challengesEuropean Journal of Operational Research, 2005
- Process industry supply chains: Advances and challengesComputers & Chemical Engineering, 2005
- Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessmentComputers & Chemical Engineering, 2004
- Supply chain modelling of forest fuelEuropean Journal of Operational Research, 2004
- Supply chain optimization in the pulp mill industry––IP models, column generation and novel constraint branchesEuropean Journal of Operational Research, 2004