Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology

Abstract

This work presents a mathematical-algorithmic methodology to handle scheduling decisions on multiproduct multistage batch facilities, developed with the aim to solve problems of industrial size. The proposal is based on the iterative construction of a solution by solving a sequence of subproblems associated to each stage, identifying and fixing the critical decisions at each step, and keeping rigorous information on the bounds. The methodology is applied to a real case study obtaining good quality solutions in competitive computing times.

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Keywords

Multiproduct batch plants, Scheduling, Optimization

Citation

Stürtz, J. A.; Marchetti, P. A. (9-11 de Diciembre de 2020). Efficient scheduling of a real case study of the pharmaceutical industry using a mathematical-algorithmic decomposition methodology. Xth International Conference of Production Research - Americas 2020 (ICPR-Americas 2020). Universidad Nacional del Sur, Bahía Blanca, Argentina. pp. 171–176

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