Abstract
In order to guarantee the correct plant resources allocation, an efficient and uniform methodology is required to address the wide diversity of operational problems. The high flexibility requirement in the process industry, to be able to satisfy the market demand and service level, triggered the development of optimal scheduling methodologies in industrial management. In this work, a case study of a chemical process in the paint industry is presented, where the complexity of resource allocation and schedule optimisation is addressed through the use of the Resource Task Network (RTN) methodology. Two scheduling models are compared, considering a non-periodic and periodic operation mode. Mixed Integer Linear Programming (MILP) formulation are implemented where profit is maximized. The results of each formulation applied to a real case study are compared and discussed based in plant schedule resources allocation and required manpower.
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References
Barbosa-Póvoa, A.P.: A critical review on the design and retrofit of batch plants. Comput. Chem. Eng. 31(7), 833–855 (2007)
Castro, P., Barbosa-Póvoa, A.P., Matos, H., Novais, A.Q.: Simple continuous-time formulation for short-term scheduling of batch and continuous processes. Ind. Eng. Chem. Res. 43(1), 105–118 (2004)
Chen, C.L., Chang, C.Y.: A resource-task network approach for optimal short-term/periodic scheduling and heat integration in multipurpose batch plants. Appl. Therm. Eng. 29(5), 1195–1208 (2009)
Chibeles-Martins, N., Pinto, T., Barbosa-Póvoa, A., Novais, A.Q.: A meta-heuristics approach for the design and scheduling of multipurpose batch plants. Comput. Aided Chem. Eng. 28, 1315–1320 (2010)
Kondili, E., Pantelides, C.C., Sargent, W.H.: A general algorithm for short-term scheduling of batch operations-I MILP formulation. Comput. Chem. Eng. 2, 211–227 (1993)
Méndez, A.C., Cerdá, J., Grossmann, I.E., Harjunkoski, I., Fahl, M.: State-of-the-art review of optimization methods for short-term scheduling of batch processes. Comput. Chem. Eng. 30(6–7), 913–946 (2006)
Moniz, S., Barbosa-Póvoa, A.P., Pinho de Sousa, J.: Regular and non-regular production scheduling of multipurpose batch plants. Comput. Aided Chem. Eng. 30, 767–771 (2012)
Pantelides, C.C.: Unified frameworks for optimal process planning and scheduling. In: Foundations of Computer-Aided Process Operations, pp. 253–274. Cache publications, New York (1994)
Pinto, T., Barbosa-Póvoa, A., Novais, A.Q.: Optimal design and retrofit of batch plants with a periodic mode of operation. Comput. Chem. Eng. 29(6), 1293–1303 (2005)
Pinto, T., Barbosa-Póvoa, A., Novais, A.Q.: Design of multipurpose batch plants: a comparative analysis between the STN, m-STN, and RTN representations and formulations. Ind. Eng. Chem. Res. 47(16), 6025–6044 (2008)
Pinto, T., Barbosa-Póvoa, A., Novais, A.Q.: Design and scheduling of periodic multipurpose batch plants under uncertainty. Ind. Eng. Chem. Res. 48, 9655–9670 (2009)
Shah, N., Pantelides, C.C., Sargent, R.W.H.: Optimal periodic scheduling of multipurpose batch plants. Ann. Oper. Res. 42(1), 193–228 (1993)
Shaik, M.A., Vooradi, R.: Unification of STN and RTN based models for short-term scheduling of batch plants with shared resources. Chem. Eng. Sci. 98, 104–124 (2013)
Simaria, A.S., Gao, Y., Turner, R., Farid, S.S.: Designing multi-product biopharmaceutical facilities using evolutionary algorithms. Comput. Aid. Chem. Eng. 29, 286–290 (2011)
Verderame, P.M., Elia, J.A., Li, J., Floudas, C.A.: Planning and scheduling under uncertainty: a review across multiple sectors. Ind. Eng. Chem. Res. 49(9), 3993–4017 (2010)
Vieira, M., Pinto-Varela, T., Barbosa-Póvoa, A.P.: Scheduling batch processing using the RTN discrete time formulation: a case study. In: 16th Congress of the Portuguese Association of Operations Research, Bragana, Portugal, pp. 378–385 (2013)
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The authors would like to acknowledge the financial support of Fundação para a Ciência e Tecnologia under the grant SFRH/BD/51594/2011.
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Vieira, M., Pinto-Varela, T., Barbosa-Póvoa, A.P. (2015). Periodic Versus Non-periodic Multipurpose Batch Plant Scheduling: A Paint Industry Case Study. In: Almeida, J., Oliveira, J., Pinto, A. (eds) Operational Research. CIM Series in Mathematical Sciences, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-20328-7_24
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DOI: https://doi.org/10.1007/978-3-319-20328-7_24
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