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Authors: Ruiwen Liao and Céline Gicquel

Affiliation: Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris Saclay, France

Keyword(s): Production Planning, Lot-Sizing, Renewable Energy, Energy Supply, Mixed-Integer Linear Programming.

Abstract: Industrial production sites are nowadays faced with two major concerns: the need to reduce the environmental impact of their processes and the economic difficulties caused by the rising energy prices. Both challenges may be partially tackled by powering industrial processes with electricity generated on-site from renewable sources. However, the volatility of the electricity prices and the intermittence of the locally generated renewable energy sources result in the need to solve an integrated industrial production and energy supply planning problem. This work investigates a single-machine multi-product lot-sizing problem for an industrial process powered by both grid electricity and on-site renewable energy. We propose a new extension of the Proportional Lot-sizing and Scheduling Problem relying on a two-level structure for time discretization. The first level is related to the product demand satisfaction, the second one is used for both production and energy supply planning. The pro posed extension is compared to a previously published extension of the General Lot-sizing and Scheduling Problem dealing with a similar problem. Our preliminary numerical results show that in most cases, our model provides a production plan of the same cost, but with a significantly reduced computational effort. (More)

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Paper citation in several formats:
Liao, R. and Gicquel, C. (2023). Integrated Production and Energy Supply Planning on an Industrial Site by Mixed-Integer Linear Programming. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-627-9; ISSN 2184-4372, SciTePress, pages 119-126. DOI: 10.5220/0011602900003396

@conference{icores23,
author={Ruiwen Liao. and Céline Gicquel.},
title={Integrated Production and Energy Supply Planning on an Industrial Site by Mixed-Integer Linear Programming},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2023},
pages={119-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011602900003396},
isbn={978-989-758-627-9},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Integrated Production and Energy Supply Planning on an Industrial Site by Mixed-Integer Linear Programming
SN - 978-989-758-627-9
IS - 2184-4372
AU - Liao, R.
AU - Gicquel, C.
PY - 2023
SP - 119
EP - 126
DO - 10.5220/0011602900003396
PB - SciTePress

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