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 …

[HTML][HTML] A comprehensive overview of industrial demand response status in Europe

M Ranaboldo, M Aragüés-Peñalba, E Arica… - … and Sustainable Energy …, 2024 - Elsevier
Industrial demand response (IDR) will play a crucial role in shaping future electricity
systems, as it is a key element of a just energy transition and industrial development. The …

[HTML][HTML] Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times

S Afsar, JJ Palacios, J Puente, CR Vela… - Swarm and Evolutionary …, 2022 - Elsevier
The quest for sustainability has arrived to the manufacturing world, with the emergence of a
research field known as green scheduling. Traditional performance objectives now co-exist …

A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts

G Gong, R Chiong, Q Deng, X Gong, W Lin… - Swarm and Evolutionary …, 2022 - Elsevier
Abstract Machine on/off control is an effective way to achieve energy-efficient production
scheduling. Turning off machines and restarting them frequently, however, would incur a …

Dynamic parallel machine scheduling with deep Q-network

CL Liu, CJ Tseng, TH Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parallel machine scheduling (PMS) is a common setting in many manufacturing facilities, in
which each job is allowed to be processed on one of the machines of the same type. It …

Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling

L Cheng, Q Tang, L Zhang, Z Zhang - Swarm and Evolutionary …, 2022 - Elsevier
Owning to diverse customer demands and enormous product varieties, mixed shop
production systems are applied in practice to improve responsiveness and productivity …

A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds

X Chen, J Li, Y Du - Expert Systems with Applications, 2023 - Elsevier
In this study, a fuzzy flexible job shop scheduling problem with variable processing speeds
is considered. To address this problem, a multi-objective hybrid evolutionary immune …

Exact method to optimize the total electricity cost in two-machine permutation flow shop scheduling problem under Time-of-use tariff

MH Ho, F Hnaien, F Dugardin - Computers & Operations Research, 2022 - Elsevier
This study investigates the minimization of total electricity cost in a two-machine permutation
flow shop scheduling problem under the most common electricity tariff, Time-of-Use (ToU) …

The impact of incentive-based programmes on job-shop scheduling with variable machine speeds

M Füchtenhans, CH Glock - International Journal of Production …, 2024 - Taylor & Francis
Given the high demand for energy in the manufacturing industry and the increasing use of
renewable but volatile energy sources, it becomes increasingly important to coordinate …

Robust identical parallel machine scheduling with two-stage time-of-use tariff and not-all-machine option

X Feng, H Peng - International Journal of Production Research, 2024 - Taylor & Francis
Time-of-use (TOU) tariff has been implemented in the manufacturing industry to improve
energy efficiency by regulating the electricity imbalance between supply and demand …