How to cite this paper
Ackermann, S., Fumero, Y & Montagna, J. (2021). Incorporating batching decisions and operational constraints into the scheduling problem of multisite manufacturing environments.International Journal of Industrial Engineering Computations , 12(3), 345-364.
Refrences
Ackermann, S., Fumero, Y., & Montagna, J. M. (2018). Optimization Framework for the Simultaneous Batching and Scheduling of Multisite Production Environments. Industrial & Engineering Chemistry Research, 57(48), 16395-16406.
Behnamian, J., & Ghomi, S. F. (2013). The heterogeneous multi-factory production network scheduling with adaptive communication policy and parallel machine. Information Sciences, 219, 181-196.
Behnamian, J., & Ghomi, S. F. (2016). A survey of multi-factory scheduling. Journal of Intelligent Manufacturing, 27(1), 231-249.
Castro, P. M., Grossmann, I. E., & Zhang, Q. (2018). Expanding scope and computational challenges in process scheduling. Computers & Chemical Engineering, 114, 14-42.
Fumero, Y., Corsano, G., & Montagna, J. M. (2014). Simultaneous batching and scheduling of batch plants that operate in a campaign-mode, considering nonidentical parallel units and sequence-dependent changeovers. Industrial & Engineering Chemistry Research, 53(44), 17059-17074.
Georgiadis, G. P., Elekidis, A. P., & Georgiadis, M. C. (2019). Optimization-based scheduling for the process industries: from theory to real-life industrial applications. Processes, 7(7), 438.
Harjunkoski, I., Maravelias, C. T., Bongers, P., Castro, P. M., Engell, S., Grossmann, I. E., ... & Wassick, J. (2014). Scope for industrial applications of production scheduling models and solution methods. Computers & Chemical Engineering, 62, 161-193.
Karimi, N., & Davoudpour, H. (2017). A knowledge-based approach for multi-factory production systems. Computers & Operations Research, 77, 72-85.
Kopanos, G. M., & Puigjaner, L. (2009). Multi-site scheduling/batching and production planning for batch process industries. In Computer Aided Chemical Engineering (Vol. 27, pp. 2109-2114). Elsevier.
Laínez, J. M., & Puigjaner, L. (2012). Prospective and perspective review in integrated supply chain modelling for the chemical process industry. Current Opinion in Chemical Engineering, 1(4), 430-445.
Lim, M. F., & Karimi, I. A. (2003). A slot-based formulation for single-stage multiproduct batch plants with multiple orders per product. Industrial & engineering chemistry research, 42(9), 1914-1924.
Maravelias, C. T. (2012). General framework and modeling approach classification for chemical production scheduling. AIChE Journal, 58(6), 1812-1828.
Marchetti, P. A., Méndez, C. A., & Cerdá, J. (2012). Simultaneous lot sizing and scheduling of multistage batch processes handling multiple orders per product. Industrial & engineering chemistry research, 51(16), 5762-5780.
Méndez, C. A., Cerdá, J., Grossmann, I. E., Harjunkoski, I., & Fahl, M. (2006). State-of-the-art review of optimization methods for short-term scheduling of batch processes. Computers & chemical engineering, 30(6-7), 913-946.
Moon, C., & Seo, Y. (2005). Evolutionary algorithm for advanced process planning and scheduling in a multi-plant. Computers & Industrial Engineering, 48(2), 311-325.
Moon, C., Kim, J., & Hur, S. (2002). Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Computers & Industrial Engineering, 43(1-2), 331-349.
Moons, S., Ramaekers, K., Caris, A., & Arda, Y. (2017). Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion. Computers & Industrial Engineering, 104, 224-245.
Pinto, J. M., & Grossmann, I. E. (1998). Assignment and sequencing models for thescheduling of process systems. Annals of Operations Research, 81, 433-466.
Prasad, P., & Maravelias, C. T. (2008). Batch selection, assignment and sequencing in multi-stage multi-product processes. Computers & Chemical Engineering, 32(6), 1106-1119.
Rosenthal, R.E. (2017). GAMS – A user’s guide. GAMS development corporation. Washington, DC.
Ryu, J. H., & Pistikopoulos, E. N. (2005). Design and operation of an enterprise-wide process network using operation policies. 1. Design. Industrial & engineering chemistry research, 44(7), 2174-2182.
Shah, N. K., & Ierapetritou, M. G. (2012). Integrated production planning and scheduling optimization of multisite, multiproduct process industry. Computers & Chemical Engineering, 37, 214-226.
Sundaramoorthy, A., & Maravelias, C. T. (2008a). Modeling of storage in batching and scheduling of multistage processes. Industrial & engineering chemistry research, 47(17), 6648-6660.
Sundaramoorthy, A., & Maravelias, C. T. (2008b). Simultaneous batching and scheduling in multistage multiproduct processes. Industrial & engineering chemistry research, 47(5), 1546-1555.
Sundaramoorthy, A., Maravelias, C. T., & Prasad, P. (2009). Scheduling of multistage batch processes under utility constraints. Industrial & engineering chemistry research, 48(13), 6050-6058.
Terrazas-Moreno, S., & Grossmann, I. E. (2011). A multiscale decomposition method for the optimal planning and scheduling of multi-site continuous multiproduct plants. Chemical Engineering Science, 66(19), 4307-4318.
Behnamian, J., & Ghomi, S. F. (2013). The heterogeneous multi-factory production network scheduling with adaptive communication policy and parallel machine. Information Sciences, 219, 181-196.
Behnamian, J., & Ghomi, S. F. (2016). A survey of multi-factory scheduling. Journal of Intelligent Manufacturing, 27(1), 231-249.
Castro, P. M., Grossmann, I. E., & Zhang, Q. (2018). Expanding scope and computational challenges in process scheduling. Computers & Chemical Engineering, 114, 14-42.
Fumero, Y., Corsano, G., & Montagna, J. M. (2014). Simultaneous batching and scheduling of batch plants that operate in a campaign-mode, considering nonidentical parallel units and sequence-dependent changeovers. Industrial & Engineering Chemistry Research, 53(44), 17059-17074.
Georgiadis, G. P., Elekidis, A. P., & Georgiadis, M. C. (2019). Optimization-based scheduling for the process industries: from theory to real-life industrial applications. Processes, 7(7), 438.
Harjunkoski, I., Maravelias, C. T., Bongers, P., Castro, P. M., Engell, S., Grossmann, I. E., ... & Wassick, J. (2014). Scope for industrial applications of production scheduling models and solution methods. Computers & Chemical Engineering, 62, 161-193.
Karimi, N., & Davoudpour, H. (2017). A knowledge-based approach for multi-factory production systems. Computers & Operations Research, 77, 72-85.
Kopanos, G. M., & Puigjaner, L. (2009). Multi-site scheduling/batching and production planning for batch process industries. In Computer Aided Chemical Engineering (Vol. 27, pp. 2109-2114). Elsevier.
Laínez, J. M., & Puigjaner, L. (2012). Prospective and perspective review in integrated supply chain modelling for the chemical process industry. Current Opinion in Chemical Engineering, 1(4), 430-445.
Lim, M. F., & Karimi, I. A. (2003). A slot-based formulation for single-stage multiproduct batch plants with multiple orders per product. Industrial & engineering chemistry research, 42(9), 1914-1924.
Maravelias, C. T. (2012). General framework and modeling approach classification for chemical production scheduling. AIChE Journal, 58(6), 1812-1828.
Marchetti, P. A., Méndez, C. A., & Cerdá, J. (2012). Simultaneous lot sizing and scheduling of multistage batch processes handling multiple orders per product. Industrial & engineering chemistry research, 51(16), 5762-5780.
Méndez, C. A., Cerdá, J., Grossmann, I. E., Harjunkoski, I., & Fahl, M. (2006). State-of-the-art review of optimization methods for short-term scheduling of batch processes. Computers & chemical engineering, 30(6-7), 913-946.
Moon, C., & Seo, Y. (2005). Evolutionary algorithm for advanced process planning and scheduling in a multi-plant. Computers & Industrial Engineering, 48(2), 311-325.
Moon, C., Kim, J., & Hur, S. (2002). Integrated process planning and scheduling with minimizing total tardiness in multi-plants supply chain. Computers & Industrial Engineering, 43(1-2), 331-349.
Moons, S., Ramaekers, K., Caris, A., & Arda, Y. (2017). Integrating production scheduling and vehicle routing decisions at the operational decision level: a review and discussion. Computers & Industrial Engineering, 104, 224-245.
Pinto, J. M., & Grossmann, I. E. (1998). Assignment and sequencing models for thescheduling of process systems. Annals of Operations Research, 81, 433-466.
Prasad, P., & Maravelias, C. T. (2008). Batch selection, assignment and sequencing in multi-stage multi-product processes. Computers & Chemical Engineering, 32(6), 1106-1119.
Rosenthal, R.E. (2017). GAMS – A user’s guide. GAMS development corporation. Washington, DC.
Ryu, J. H., & Pistikopoulos, E. N. (2005). Design and operation of an enterprise-wide process network using operation policies. 1. Design. Industrial & engineering chemistry research, 44(7), 2174-2182.
Shah, N. K., & Ierapetritou, M. G. (2012). Integrated production planning and scheduling optimization of multisite, multiproduct process industry. Computers & Chemical Engineering, 37, 214-226.
Sundaramoorthy, A., & Maravelias, C. T. (2008a). Modeling of storage in batching and scheduling of multistage processes. Industrial & engineering chemistry research, 47(17), 6648-6660.
Sundaramoorthy, A., & Maravelias, C. T. (2008b). Simultaneous batching and scheduling in multistage multiproduct processes. Industrial & engineering chemistry research, 47(5), 1546-1555.
Sundaramoorthy, A., Maravelias, C. T., & Prasad, P. (2009). Scheduling of multistage batch processes under utility constraints. Industrial & engineering chemistry research, 48(13), 6050-6058.
Terrazas-Moreno, S., & Grossmann, I. E. (2011). A multiscale decomposition method for the optimal planning and scheduling of multi-site continuous multiproduct plants. Chemical Engineering Science, 66(19), 4307-4318.