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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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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