Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultaneous design and planning of a multiproduct batch plant

Autores

  • Guillermo Andrés Durand Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).
  • Marta Susana Moreno Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).
  • Fernando Daniel Mele Universidad Nacional de Tucumán
  • Jorge Marcelo Montagna Instituto de Desarrollo y Diseño, Consejo Nacional de Investigaciones Científicas y Técnicas Universidad Tecnológica Nacional (INGAR-CONICET).
  • Alberto Bandoni Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

Palavras-chave:

Uncertainty, Two-stage stochastic programming, Simulation-based optimization

Resumo

This paper addresses the comparison between two techniques for the optimization under parametric uncertainty of multiproduct batch plants integrating design and production planning decisions. This problem has been conceived as a two-stage stochastic Mixed Integer Linear Programming (MILP) in which the first-stage decisions consist of design variables that allow determining the batch plant structure, and the second-stage decisions consist of production planning continuous variables in a multi-period context. The objective function maximizes the expected net present value. In the first solving approach, the problem has been tackled through mathematical programming considering a discrete set of scenarios. In the second solving approach, the multi-scenario MILP problem has been reformulated by adopting a simulation-based optimization scheme to accommodate the variables belonging to different management levels. Advantages and disadvantages of both approaches are demonstrated through a case study. Results allow concluding that a simulation-based optimization strategy may be a suitable technique to afford two-stage stochastic programming problems.   10.13084/2175-8018.v05n10a04

Biografia do Autor

Guillermo Andrés Durand, Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

PhD in Chemical Engineering, Teaching assistant Universidad Nacional del Sur, Assistant Researcher, Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

Marta Susana Moreno, Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

PhD in Chemical Engineering, Assistant Professor Universidad Nacional del Sur, Assistant Researcher Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

Fernando Daniel Mele, Universidad Nacional de Tucumán

PhD in Chemical Engineering, Assistant Professor Universidad Nacional de Tucumán, Associate Researcher CONICET.

Jorge Marcelo Montagna, Instituto de Desarrollo y Diseño, Consejo Nacional de Investigaciones Científicas y Técnicas Universidad Tecnológica Nacional (INGAR-CONICET).

PhD in Chemical Technology, Full Professor UTN-Facultad Regional Santa Fe, Principal Researcher Instituto de Desarrollo y Diseño, Consejo Nacional de Investigaciones Científicas y Técnicas Universidad Tecnológica Nacional (INGAR-CONICET).

Alberto Bandoni, Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

PhD in Chemical Engineering, Full Professor Universidad Nacional del Sur, Principal Researcher Planta Piloto de Ingeniaria Quimica, Centro Científico Tecnológico (PLAPIQUI-CONICET).

Referências

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Publicado

2014-08-19

Como Citar

Durand, G. A., Moreno, M. S., Mele, F. D., Montagna, J. M., & Bandoni, A. (2014). Comparing the performances of two techniques for the optimization under parametric uncertainty of the simultaneous design and planning of a multiproduct batch plant. beroamerican ournal of ndustrial ngineering, 5(10), 42–54. ecuperado de https://incubadora.periodicos.ufsc.br/index.php/IJIE/article/view/3044