How to cite this paper
Quttineh, N & Lidestam, H. (2020). Applying heuristics in supply chain planning in the process industry.International Journal of Industrial Engineering Computations , 11(4), 585-606.
Refrences
Ansari, Z. N., & Kant, R. (2017). A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management. Journal of Cleaner Production, 142, 2524-2543.
Banasik, A., Kanellopoulos, A., Claassen, G. D. H., Bloemhof-Ruwaard, J. M., & van der Vorst, J. G. (2017). Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain. International Journal of Production Economics, 183, 409-420.
Barbosa-Póvoa, A. P. (2012). Progresses and challenges in process industry supply chains optimization. Current Opinion in Chemical Engineering, 1(4), 446-452.
Bredström, D., Lundgren, J. T., Rönnqvist, M., Carlsson, D., & Mason, A. (2004). Supply chain optimization in the pulp mill industry––IP models, column generation and novel constraint branches. European Journal of Operational Research, 156(1), 2-22.
Carlsson, D., & Rönnqvist, M. (2005). Supply chain management in forestry––case studies at Södra Cell AB. European Journal of Operational Research, 163(3), 589-616.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.
Finch, B. J., & Cox, J. F. (1987). Planning and Control System Design: Principles and Cases for Process Manufacturers. American Production and Inventory Control Society.
Fourer, R., Gay, D. M., & Kernighan, B. W. (1990). A modeling language for mathematical programming. Management Science, 36(5), 519-554.
Garcia, D. J., & You, F. (2015). Supply chain design and optimization: Challenges and opportunities. Computers & Chemical Engineering, 81, 153-170.
Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141.
Grossmann, I. E. (2004). Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment. Computers & Chemical Engineering, 29(1), 29-39.
Gunnarsson, H., Rönnqvist, M., & Lundgren, J. T. (2004). Supply chain modelling of forest fuel. European Journal of Operational Research, 158(1), 103-123.
Gunnarsson, H., Rönnqvist, M., & Carlsson, D. (2007). Integrated production and distribution planning for Södra Cell AB. Journal of Mathematical Modelling and Algorithms, 6(1), 25-45.
Gunnarsson, H., & Rönnqvist, M. (2008). Solving a multi-period supply chain problem for a pulp company using heuristics—An application to Södra Cell AB. International Journal of Production Economics, 116(1), 75-94.
CPLEX, I. (2005). High-performance software for mathematical programming and optimization.
Khadem, M., Shamsuzzoha, A., & Piya, S. (2017). Optimization Modeling of a Poultry Industry Supply Chain Network. International Journal of Supply Chain Management, 6(2), 27-32.
Kostin, A. M., Guillén-Gosálbez, G., Mele, F. D., Bagajewicz, M. J., & Jiménez, L. (2011). A novel rolling horizon strategy for the strategic planning of supply chains. Application to the sugar cane industry of Argentina. Computers & Chemical Engineering, 35(11), 2540-2563.
Lindholm, A., & Johnsson, C. (2013). Plant-wide utility disturbance management in the process industry. Computers & Chemical Engineering, 49, 146-157.
Lindholm, A., & Nytzén, N. P. (2014). Hierarchical scheduling and disturbance management in the process industry. Computers & Chemical Engineering, 71, 489-500.
Ouhimmou, M., D’Amours, S., Beauregard, R., Ait-Kadi, D., & Chauhan, S. S. (2008). Furniture supply chain tactical planning optimization using a time decomposition approach. European Journal of Operational Research, 189(3), 952-970.
Persson, J. A. (2002). Production scheduling and shipment planning at oil refineries: Optimization based methods (Doctoral dissertation, Linköpings universitet).
Pham, T., & Yenradee, P. (2017). Optimal supply chain network design with process network and BOM under uncertainties: A case study in toothbrush industry. Computers & Industrial Engineering, 108, 177-191.
Quttineh, N. H., 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.
Shah, N. (2005). Process industry supply chains: Advances and challenges. Computers & Chemical Engineering, 29(6), 1225-1235.
Silvente, J., Kopanos, G. M., Pistikopoulos, E. N., & Espuña, A. (2015). A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids. Applied Energy, 155, 485-501.
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016). OR/MS models for supply chain disruptions: A review. Iie Transactions, 48(2), 89-109.
Stadtler, H. (2005). Supply chain management and advanced planning––basics, overview and challenges. European Journal of Operational Research, 163(3), 575-588.
Taylor, S. G., Seward, S. M., & Bolander, S. F. (1981). Why the process industries are different. Production and Inventory Management Journal, 22(4), 9-24.
Thollander, P., & Ottosson, M. (2010). Energy management practices in Swedish energy-intensive industries. Journal of Cleaner Production, 18(12), 1125-1133.
Tjoa, I. B., Ota, Y., Matsuo, H., & Natori, Y. (1997). Ethylene plant scheduling system based on a MINLP formulation. Computers & Chemical Engineering, 21, S1073-S1077.
Validi, S., Bhattacharya, A., & Byrne, P. J. (2014). A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. International Journal of Production Economics, 152, 71-87.
Zamarripa, M., Marchetti, P. A., Grossmann, I. E., Singh, T., Lotero, I., Gopalakrishnan, A., ... & André, J. (2016). Rolling horizon approach for production–distribution coordination of industrial gases supply chains. Industrial & Engineering Chemistry Research, 55(9), 2646-2660.
Zhao, R., Liu, Y., Zhang, N., & Huang, T. (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142, 1085-1097.
Banasik, A., Kanellopoulos, A., Claassen, G. D. H., Bloemhof-Ruwaard, J. M., & van der Vorst, J. G. (2017). Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain. International Journal of Production Economics, 183, 409-420.
Barbosa-Póvoa, A. P. (2012). Progresses and challenges in process industry supply chains optimization. Current Opinion in Chemical Engineering, 1(4), 446-452.
Bredström, D., Lundgren, J. T., Rönnqvist, M., Carlsson, D., & Mason, A. (2004). Supply chain optimization in the pulp mill industry––IP models, column generation and novel constraint branches. European Journal of Operational Research, 156(1), 2-22.
Carlsson, D., & Rönnqvist, M. (2005). Supply chain management in forestry––case studies at Södra Cell AB. European Journal of Operational Research, 163(3), 589-616.
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: An optimization-oriented review. Omega, 54, 11-32.
Finch, B. J., & Cox, J. F. (1987). Planning and Control System Design: Principles and Cases for Process Manufacturers. American Production and Inventory Control Society.
Fourer, R., Gay, D. M., & Kernighan, B. W. (1990). A modeling language for mathematical programming. Management Science, 36(5), 519-554.
Garcia, D. J., & You, F. (2015). Supply chain design and optimization: Challenges and opportunities. Computers & Chemical Engineering, 81, 153-170.
Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141.
Grossmann, I. E. (2004). Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment. Computers & Chemical Engineering, 29(1), 29-39.
Gunnarsson, H., Rönnqvist, M., & Lundgren, J. T. (2004). Supply chain modelling of forest fuel. European Journal of Operational Research, 158(1), 103-123.
Gunnarsson, H., Rönnqvist, M., & Carlsson, D. (2007). Integrated production and distribution planning for Södra Cell AB. Journal of Mathematical Modelling and Algorithms, 6(1), 25-45.
Gunnarsson, H., & Rönnqvist, M. (2008). Solving a multi-period supply chain problem for a pulp company using heuristics—An application to Södra Cell AB. International Journal of Production Economics, 116(1), 75-94.
CPLEX, I. (2005). High-performance software for mathematical programming and optimization.
Khadem, M., Shamsuzzoha, A., & Piya, S. (2017). Optimization Modeling of a Poultry Industry Supply Chain Network. International Journal of Supply Chain Management, 6(2), 27-32.
Kostin, A. M., Guillén-Gosálbez, G., Mele, F. D., Bagajewicz, M. J., & Jiménez, L. (2011). A novel rolling horizon strategy for the strategic planning of supply chains. Application to the sugar cane industry of Argentina. Computers & Chemical Engineering, 35(11), 2540-2563.
Lindholm, A., & Johnsson, C. (2013). Plant-wide utility disturbance management in the process industry. Computers & Chemical Engineering, 49, 146-157.
Lindholm, A., & Nytzén, N. P. (2014). Hierarchical scheduling and disturbance management in the process industry. Computers & Chemical Engineering, 71, 489-500.
Ouhimmou, M., D’Amours, S., Beauregard, R., Ait-Kadi, D., & Chauhan, S. S. (2008). Furniture supply chain tactical planning optimization using a time decomposition approach. European Journal of Operational Research, 189(3), 952-970.
Persson, J. A. (2002). Production scheduling and shipment planning at oil refineries: Optimization based methods (Doctoral dissertation, Linköpings universitet).
Pham, T., & Yenradee, P. (2017). Optimal supply chain network design with process network and BOM under uncertainties: A case study in toothbrush industry. Computers & Industrial Engineering, 108, 177-191.
Quttineh, N. H., 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.
Shah, N. (2005). Process industry supply chains: Advances and challenges. Computers & Chemical Engineering, 29(6), 1225-1235.
Silvente, J., Kopanos, G. M., Pistikopoulos, E. N., & Espuña, A. (2015). A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids. Applied Energy, 155, 485-501.
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. J., & Sinsoysal, B. (2016). OR/MS models for supply chain disruptions: A review. Iie Transactions, 48(2), 89-109.
Stadtler, H. (2005). Supply chain management and advanced planning––basics, overview and challenges. European Journal of Operational Research, 163(3), 575-588.
Taylor, S. G., Seward, S. M., & Bolander, S. F. (1981). Why the process industries are different. Production and Inventory Management Journal, 22(4), 9-24.
Thollander, P., & Ottosson, M. (2010). Energy management practices in Swedish energy-intensive industries. Journal of Cleaner Production, 18(12), 1125-1133.
Tjoa, I. B., Ota, Y., Matsuo, H., & Natori, Y. (1997). Ethylene plant scheduling system based on a MINLP formulation. Computers & Chemical Engineering, 21, S1073-S1077.
Validi, S., Bhattacharya, A., & Byrne, P. J. (2014). A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. International Journal of Production Economics, 152, 71-87.
Zamarripa, M., Marchetti, P. A., Grossmann, I. E., Singh, T., Lotero, I., Gopalakrishnan, A., ... & André, J. (2016). Rolling horizon approach for production–distribution coordination of industrial gases supply chains. Industrial & Engineering Chemistry Research, 55(9), 2646-2660.
Zhao, R., Liu, Y., Zhang, N., & Huang, T. (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142, 1085-1097.