Elsevier

Procedia Manufacturing

Volume 21, 2018, Pages 413-420
Procedia Manufacturing

Hybrid simulation-based optimization of discrete parts manufacturing to increase energy efficiency and productivity

https://doi.org/10.1016/j.promfg.2018.02.139Get rights and content
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Abstract

This presented research comprises the development of an optimization module for use in a novel production optimization tool – similar in function but not mode of operation to an Advanced Planning System –, with energy efficiency incorporated into its goal system. The optimization features a hybrid-simulation of production systems as an evaluation function. A hybrid simulation has been developed and presented in preceding publications, in order to enable a sufficient consideration of interactions between material flow and the thermal-physical behavior of the production system. The size of the search space for the complex optimization problem necessitates a customized two-phase-optimization method, which is based on a Genetic Algorithm, with the consideration of linear constraints and extended customizations. The results, obtained in a case study featuring a food production facility, show energy savings of around 20 percent together with significant productivity gains.

Keywords

sustainable manufacturing
energy efficiency
production planning
optimization
metaheuristics
hybrid simulation
case study

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