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A review of energy-efficient scheduling in intelligent production systems
2019
Complex & Intelligent Systems
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Energy-efficient scheduling of production systems is an effective way to improve energy efficiency and to reduce energy cost. ...
This paper aims to provide a comprehensive literature review of production scheduling for intelligent manufacturing systems with the energy-related constraints and objectives. ...
Swarm intelligence and evolutionary algorithms are becoming more and more popular for solving large-scale scheduling and optimization problems with time constraints, including energy-efficiency scheduling ...
doi:10.1007/s40747-019-00122-6
fatcat:acvi323rtzhalowil7syvorxua
A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems
2021
Applied Sciences
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The conclusion reports the main findings of the review and suggests future directions for the researchers in the integration of renewable energy in the manufacturing systems consumption models. ...
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 renewable energy sources ...
Jiang and Wang [68] considered, as objectives of the scheduling problem, the maximum completion time and total energy consumption and addressed the optimization using an evolutionary algorithm based ...
doi:10.3390/app11167366
fatcat:utvylqdpdbgdppmdkiqcjyi57y
An Algorithm Incarnating Deep Integration of Hardware-Software Energy Regulation Principles for Heterogeneous Green Scheduling
2020
IEEE Access
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In this paper, an efficient new meta-heuristics algorithm is presented (i.e., GHSA_di), including the co-evolutionary dynamics equation emphasizing on and taking advantage of the hardware energy-regulation ...
The experimental results show that compared with the other three metaheuristic scheduling algorithms, GHSA_di algorithm has obvious advantages in overall performance, energy saving and scalability, for ...
An efficient new meta-heuristic scheduling algorithm, i.e., GHSA_di is proposed, including the co-evolutionary dynamics equation emphasizing on and taking advantage of the hardware energy-regulation principles ...
doi:10.1109/access.2020.3003304
fatcat:ufbheyfuzfgxnkeqkhv2dbsc3m
Energy- and labor-aware flexible job shop scheduling under dynamic electricity pricing: A many-objective optimization investigation
2019
Journal of Cleaner Production
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A FJSSP should rapidly be solved by an optimization algorithm, as production scheduling is time-sensitive compared to the longterm production planning. ...
An evolutionary algorithm (EA) intrinsically complies with this requirement, since it aims to fast obtain a high-quality optimization solution or solution set, without guaranteeing the exact optimum. ...
novel evolutionary algorithm for many-objective optimization in the context of fast yet high-quality decision making. (3) Integration of intra-factory transportation in the current EL-FJSSP and its implementation ...
doi:10.1016/j.jclepro.2018.10.289
fatcat:dtwvusxcjbbornnbbl6zjlysxm
Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling
2021
IEEE Access
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Except for adopting new equipment, production scheduling could play an important role in reducing the total energy consumption of a manufacturing plant. ...
Herein, we first introduce the objectives of minimizing non-processing energy consumption, total weighted tardiness and earliness, and makespan into a typical production scheduling model-the job shop scheduling ...
a combination of
evolutionary
algorithm
and
mathematical programming with an
efficient local search procedure for
a just-in-time job-shop scheduling
problem. ...
doi:10.1109/access.2021.3070981
fatcat:54t4jzcs3jhfjfmli3noarz4da
Distributed scheduling problems in intelligent manufacturing systems
2021
Tsinghua Science and Technology
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Insights regarding prior works are discussed to uncover future research directions, particularly swarm intelligence and evolutionary algorithms, which are used for managing distributed scheduling problems ...
In recent years, many studies have been done on the modeling and optimization of distributed scheduling problems. ...
Her research interests include swarm intelligence and evolutionary algorithms, and production scheduling. ...
doi:10.26599/tst.2021.9010009
fatcat:bmdgzjbzr5cs3le32dispcnjai
Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids
2019
Sensors
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Thus, to understand the potential of the Fog in this scenario, a performance evaluation is performed to verify how factors such as residence number, optimization algorithms, appliance shifting, and energy ...
Energy advancement and innovation have generated several challenges for large modernized cities, such as the increase in energy demand, causing the appearance of the small power grid with a local source ...
Acknowledgments: The authors thank FAPESB, FAPEMIG, CAPES, CNPq, and the partnership MCTIC-UFBA-(Ministry of Science, Technology, Innovation and Communication of Brazil) for the financial support through ...
doi:10.3390/s19112642
fatcat:binuam4nmrh7hiq3wdrsv5dnkm
Special Issue on Intelligent Energy Solutions to Sustainable Production and Service Automation
2021
IEEE Transactions on Automation Science and Engineering
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This Special Issue has greatly benefited from the cooperation among the authors, reviewers, and editors. ...
We would like to express our sincere thanks to the reviewers for their excellent and timely refereeing. ...
consumption optimization in Bernoulli serial lines" In this article, Yan and Zheng investigate an energy consumption optimization problem in Bernoulli serial production lines with more than two machines ...
doi:10.1109/tase.2021.3052064
fatcat:apvtkol62zagvk5gali343wyoe
Research on the Optimization Method of Virtual Enterprise's Task Scheduling Problems in Aluminum Industry
2011
Modern Applied Science
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of scheduling cannot reach the global optimization, and cannot realize production scheduling and resource allocation with the aim of optimal energy consumption, resulting in the waste of energy. ...
Taken the minimal sum of energy consumption in production, transport and stock as objective function and integrated with enterprise's experiences in production, the article establishes a model of virtual ...
The simulation result showed adopting the optimized scheduling solutions can satisfy the requirements of aluminum production and achieved the aim to save energy and reduce consumption. ...
doi:10.5539/mas.v5n1p68
fatcat:iwj2ek5x5jf5xeupeua2ycyhki
Evolutionary game based real-time scheduling for energy-efficient distributed and flexible job shop
2021
Journal of Cleaner Production
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With the global energy crisis and environmental issues becoming severe, more attention has been paid to production scheduling considering energy consumption than ever before. ...
An evolutionary game-based solver method is adopted to obtain the optimal allocation. Finally, a case study is employed to validate the DFJS-RS method. ...
They used an operation method to minimise the energy consumption of the production machine. ...
doi:10.1016/j.jclepro.2021.126093
fatcat:e3ua5k65unghrnnpvirc5ss6ye
Bi-Population Based Discrete Bat Algorithm for the Low-Carbon Job Shop Scheduling Problem
2019
IEEE Access
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INDEX TERMS Job shop, low-carbon production scheduling, energy consumption, bi-population based discrete bat algorithm. ...
With the advent of green manufacturing, energy consumption should be considered in the JSP. Therefore, a low-carbon JSP is studied in this paper. ...
[20] investigated an energy-efficient job shop scheduling problem with the objective of minimizing the total cost of energy-consumption and tardiness and proposed a grey wolf optimization algorithm ...
doi:10.1109/access.2019.2892826
fatcat:xdu6h7yqk5cezjttyyklzs5cjm
A Review on Scheduling in Cloud Computing
2016
International Journal of UbiComp
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The survey gives an elaborate idea about grid, cloud, workflow scheduling to minimize the energy cost, efficiency and throughput of the system. ...
Thus the far reaching way of different type of scheduling algorithms in cloud computing environment surveyed which includes the workflow scheduling and grid scheduling. ...
An evolutionary multi-objective optimization (EMO)-based algorithm is used. ...
doi:10.5121/iju.2016.7302
fatcat:afwp3yravjhbfm3yct5ux2enui
Research of self-power Generation Scheduling Model Base on Multi-objective in Iron and Steel Enterprises
2017
MATEC Web of Conferences
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Iron and steel industry is an energy intensive industry, which accounts for more than 15% of energy consumption [1]. ...
High energy consumption not only leads to increase cost of steel products, but also means more pollution and emissions. ...
According to the features of gas pipeline network system, combined with the actual scheduling situation, the by-product gas system is modeled and analyzed based on MOPSO rules and priorities. ...
doi:10.1051/matecconf/201710002016
fatcat:y5vozwzkqjbjniwqf4kgrsclie
A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems
2021
Applied Sciences
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An integrated classifier-assisted evolutionary multi-objective evolutionary approach is proposed for solving the objectives of makespan, energy consumption, and increased service utilization rate, interoperability ...
We then proposed a Hybrid Multi-Objective Moth Flame Optimization algorithm (HMFO) to optimize process planning and scheduling functions. ...
• In what way can evolutionary algorithms be utilized to optimize scheduling and planning? ...
doi:10.3390/app11146314
fatcat:pqb3i4nj4jhoblrauhhq2jtgma
Scheduling problems with energy consideration: State of the art and opportunities
2020
E3S Web of Conferences
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The target of this study is to find an appropriate research framework on the basis of the main published works designed to resolve the scheduling issues with energy aspect consideration. ...
As soon as the objective functions, constraints, models, approaches and the scheduling environments that are defined as the fundamental elements of scheduling problems resolution are determined, a literature ...
A multi-objective optimization algorithm (EA-MOA) is proposed by [12] to optimize simoultanously the makespan and the energy consumptions for a HFS problem with the consideration of the setup energy ...
doi:10.1051/e3sconf/202017001006
fatcat:jc5rrj5vzbeg3jtzeqv53rrxue
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