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] Energy-aware decision support models in production environments: A systematic literature review

K Bänsch, J Busse, F Meisel, J Rieck, S Scholz… - Computers & Industrial …, 2021 - Elsevier
The substantial amount of energy consumed through industrial production has given rise to
a large number of research papers that incorporate environmental aspects and increased …

A classification and review of timed Markov models of manufacturing systems

CT Papadopoulos, J Li, MEJ O'Kelly - Computers & Industrial Engineering, 2019 - Elsevier
Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …

Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems

W Chen, H Liu, E Qi - Journal of Manufacturing Systems, 2020 - Elsevier
Advanced technologies (eg, distributed sensors, RFID, and auto-identification) can gather
processing information (eg, system status, uncertain machine breakdown, and uncertain job …

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 …

[HTML][HTML] A Markovian model of asynchronous multi-stage manufacturing lines fabricating discrete parts

MC Magnanini, T Tolio - Journal of Manufacturing Systems, 2023 - Elsevier
Asynchronous serial manufacturing lines that fabricate discrete parts are traditionally used in
mass production, which represents a key sector in the global economy. Recent …

Hybrid feedback and reinforcement learning-based control of machine cycle time for a multi-stage production system

C Li, Q Chang - Journal of Manufacturing Systems, 2022 - Elsevier
With the increasing need of flexible manufacturing systems, machine flexibility has become
one of the major impact factors. An important aspect of machine flexibility is the ability to …

Reinforcement learning for sustainability enhancement of production lines

A Loffredo, MC May, A Matta, G Lanza - Journal of Intelligent …, 2023 - Springer
The importance of sustainability in industry is dramatically rising in recent years. Controlling
machine states to achieve the best trade-off between production rate and energy demand is …

A framework of production planning and control with carbon tax under industry 4.0

WH Tsai, YH Lu - Sustainability, 2018 - mdpi.com
In recent years, the international community has placed great emphasis on environmental
protection issues. The United Nations has also successively enacted relevant laws and …

Energy-efficient production control of a make-to-stock system with buffer-and time-based policies

B Tan, O Karabağ, S Khayyati - International Journal of Production …, 2024 - Taylor & Francis
Increasing energy efficiency in manufacturing has significant environmental and cost
benefits. Turning on or off a machine dynamically while considering the production rate …