Energy-efficient scheduling in manufacturing companies: A review and research framework

C Gahm, F Denz, M Dirr, A Tuma - European Journal of Operational …, 2016 - Elsevier
Because sustainable scheduling is attracting increasing amounts of attention from many
manufacturing companies and energy is a central concern regarding sustainability, the …

Systematic literature review of decision support models for energy-efficient production planning

K Biel, CH Glock - Computers & Industrial Engineering, 2016 - Elsevier
Following the scarcity of resources, rising energy prices, and an increasing awareness of the
role manufacturing plays in the generation of greenhouse gas emissions, the consumption …

Optimizing the production scheduling of a single machine to minimize total energy consumption costs

F Shrouf, J Ordieres-Meré, A García-Sánchez… - Journal of Cleaner …, 2014 - Elsevier
The rising cost of energy is one of the important factors associated with increased production
costs at manufacturing facilities, which encourages decision-makers to tackle this problem in …

A big data driven analytical framework for energy-intensive manufacturing industries

Y Zhang, S Ma, H Yang, J Lv, Y Liu - Journal of Cleaner Production, 2018 - Elsevier
Energy-intensive industries account for almost 51% of energy consumption in China. A
continuous improvement in energy efficiency is important for energy-intensive industries …

[HTML][HTML] A literature review of energy efficiency and sustainability in manufacturing systems

P Renna, S Materi - Applied Sciences, 2021 - mdpi.com
Climate change mitigation, the goal of reducing CO2 emissions, more stringent regulations
and the increment in energy costs have pushed researchers to study energy efficiency and …

Energy-aware job scheduling in a multi-objective production environment–An integrated DEA-OWA model

A Oukil, A El-Bouri, A Emrouznejad - Computers & Industrial Engineering, 2022 - Elsevier
Manufacturing is a major source of energy consumption and, therefore, a significant
contributor to emissions and greenhouse gases. This paper is concerned with evaluating …

Energy-carbon footprint optimization in sequence-dependent production scheduling

S Trevino-Martinez, R Sawhney, O Shylo - Applied Energy, 2022 - Elsevier
Under the panorama of increasing energy costs and environmental policies driven by global
warming concerns, this research is aimed at creating an energy optimal production schedule …

[HTML][HTML] Smart grid for industry using multi-agent reinforcement learning

M Roesch, C Linder, R Zimmermann, A Rudolf… - Applied Sciences, 2020 - mdpi.com
The growing share of renewable power generation leads to increasingly fluctuating and
generally rising electricity prices. This is a challenge for industrial companies. However …

Energy flexibility of manufacturing systems for variable renewable energy supply integration: Real-time control method and simulation

J Beier, S Thiede, C Herrmann - Journal of cleaner production, 2017 - Elsevier
A central strategy for climate change mitigation is expanding electricity generation from
renewable energy sources, with an increasing share of decentralized generation. Some of …

A systematic review of supply and demand side optimal load scheduling in a smart grid environment

X Lu, K Zhou, X Zhang, S Yang - Journal of cleaner production, 2018 - Elsevier
Optimal load scheduling is an important optimization problem in the power system, which
can bring significant economic benefits for all the market participants and environmental …