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A review of energy-efficient scheduling in intelligent production systems

Kaizhou Gao, Yun Huang, Ali Sadollah, Ling Wang
2019 Complex & Intelligent Systems  
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

Paolo Renna, Sergio Materi
2021 Applied Sciences  
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

Shaohui Li, Hong Liu, Bin Gong, Jinglian Wang
2020 IEEE Access  
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

Xu Gong, Toon De Pessemier, Luc Martens, Wout Joseph
2019 Journal of Cleaner Production  
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

Hongjing Wei, Shaobo Li, Huafeng Quan, Dacheng Liu, Shu Rao, Chuanjiang Li, Jianjun Hu
2021 IEEE Access  
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

Yaping Fu, Yushuang Hou, Zifan Wang, Xinwei Wu, Kaizhou Gao, Ling Wang
2021 Tsinghua Science and Technology  
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

Eric Bernardes C. Barros, Dionísio Machado L. Filho, Bruno Guazzelli Batista, Bruno Tardiole Kuehne, Maycon Leone M. Peixoto
2019 Sensors  
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

Ying Tang, Congbo Li, Andrea Matta, Qing Chang
2021 IEEE Transactions on Automation Science and Engineering  
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

Erwei Yin, Fantian Zou, Fengxing Zou
2011 Modern Applied Science  
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

Jin Wang, Yang Liu, Shan Ren, Chuang Wang, Wenbo Wang
2021 Journal of Cleaner Production  
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

Yi Lu, Tianhua Jiang
2019 IEEE Access  
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

Sujitha A, Gunasekar K
2016 International Journal of UbiComp  
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

Xin Geng, Honghai Niu, Jun Chen, Bing Li, L. Zhao, A. Xavior, J. Cai, L. You
2017 MATEC Web of Conferences  
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

Veera Babu Ramakurthi, V. K. Manupati, José Machado, Leonilde Varela
2021 Applied Sciences  
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

Ghita Lebbar, Ikram El Abbassi, Moumen Darcherif, Abdellah El Barkany, S.B. Sanap, V.K. Bhojwani, Mathew V K
2020 E3S Web of Conferences  
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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