Stochastic programming approaches for an energy-aware lot-sizing and sequencing problem with incentive

Perraudat, Antoine; Dauzère‐Pérès, Stéphane; Mason, Scott J.

doi:10.1080/00207543.2021.1969048

Cited by 2 publications

(1 citation statement)

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“…They showed that it is possible to significantly reduce the overall production and energy costs by setting the timing and level of production while taking into account the energy price fluctuations. Perraudat, Dauzère-Pérès, and Mason (2022) recently investigated a stochastic multi-product single-machine lot-sizing problem faced by a company taking part to the demand response program of its energy provider. In such a program, the company receives monetary incentives to reduce its electric load during periods defined by the energy provider.…”

Section: Related Workmentioning

confidence: 99%

Integrated lot-sizing and energy supply planning with onsite generation of intermittent renewable energy

Liao

Gicquel

2023

International Journal of Production Research

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This work considers an industrial production site partially powered by a decentralized energy system based on intermittent renewable energy sources. Our objective is to simultaneous plan the industrial production and the energy supply in this site so as to minimize the total cost. A new way of modelling this combinatorial optimization problem is proposed: it relies on the extension of a multi-product single-resource small-bucket lot-sizing model called the proportional lot-sizing and scheduling problem. This extension involves among others sequence-dependent changeover times overlapping multiple periods and energy-related constraints. Our numerical results show that the resulting mixed-integer linear programming model enables to obtain good-quality production and energy supply plans with a computational effort much smaller than the one required by a previously published large-bucket lot-sizing model.

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Section: Related Workmentioning

confidence: 99%