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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: With the increasing energy consumption of computing systems and the growing advocacy for green computing, energy efficiency has become one of the critical challenges in high-performance heterogeneous computingEnergy consumption can be reduced by not only hardware design but also software design.In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEFThe EASEF approach aims to minimize the finish time and overall energy consumption.

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 474-488 doi: 10.1007/s11465-019-0560-z

Abstract: during the remanufacturing process, and scheduling could exert significant effects on the energy performanceHowever, only a few studies have specifically addressed energy-efficient scheduling for remanufacturingenergy saving for the investigated problem size.study provides a basis for production managers to improve the sustainability of remanufacturing through energy-awarescheduling.

Keywords： remanufacturing scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone    

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Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 487-498 doi: 10.15302/J-FEM-2018042

Abstract:

This study investigates an energy-aware flow shop scheduling problem with a time-dependent learningThe relationship between the traditional and the proposed scheduling problem is shown and objective isto determine a job sequence in which the total energy consumption is minimized.

Keywords： flow shop     energy-aware scheduling     learning effect     nested partition     worst-case error bound    

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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 251-265 doi: 10.1007/s11708-022-0857-1

Abstract: This paper proposes a day-ahead active-reactive power scheduling model for the IEGN with multi-microgridsrelationship between the subsystems of the IEGN, the potentialities of the IEGN with MMGs toward multi-energysecond-order cone (SOC) relaxation technology is utilized to transform the proposed active-reactive power schedulingtest system and a 7-node natural gas network is adopted to verify the effectiveness of the proposed schedulingThe results show that the proposed scheduling method can effectively reduce the power losses of the PDN

Keywords： combined cooling     heating     and power (CCHP)     integrated energy systems (IES)     natural gas     power distribution    

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Thermal-aware relocation of servers in green data centers

Muhammad Tayyab CHAUDHRY,T. C. LING,S. A. HUSSAIN,Xin-zhu LU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 119-134 doi: 10.1631/FITEE.1400174

Abstract: air temperature and occasional hotspots are an added burden on the cooling mechanism and result in energycomparing the thermal sensitivity to inlet air temperature for various servers helps in the thermal-awarearrangement and location switching of servers to minimize the cooling energy wastage.The experimental results show that each relocation operation has a cooling energy saving of as much asThus, the thermal-aware relocation of servers helps in the establishment of green data centers.

Keywords： Servers     Green data center     Thermal-aware     Relocation    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 198-210 doi: 10.1007/s11708-023-0874-8

Abstract: The increasing use of distributed energy resources changes the way to manage the electricity system.electricity generators have established their own microgrids, which increases the use of renewable energynew challenge to the management of the microgrid system from the mismatch and unknown of renewable energy

Keywords： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice    

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Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 373-383 doi: 10.1007/s42524-020-0123-3

Abstract: Production planning and scheduling are becoming the core of production management, which support theThe optimization of production planning and scheduling is attempted by every refinery because it gainsresearch with mathematical programming is a conventional approach used to address the planning and schedulingThis paper introduces the perspective of production planning and scheduling from the development viewpoint

Keywords： planning and scheduling     optimization     modeling    

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Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 325-337 doi: 10.15302/J-FEM-2017033

Abstract: novel and highly specialized computer-aided decision-making technologies for short-term production schedulinglearned from one of the pioneering, yet daring, enterprise-wide programs entirely implemented in an energycompany devoted to developing and implementing an advanced refinery production scheduling (RPS) technology

Keywords： automation     decision making     oil refinery     optimization     production scheduling    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: productivity, and enhance the flexibility of manufacturing, especially cellular manufacturing, group schedulingare given for outspread problems and problem algorithms for future research in the fields of group scheduling

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 338-350 doi: 10.1007/s11465-019-0572-8

Abstract: In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part

Keywords： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 202-213 doi: 10.15302/J-FEM-2017024

Abstract: Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physicalproduction environment with smart scheduling is a new question posed in the study of process systemsstate-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling

Keywords： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 777-786 doi: 10.1007/s11783-013-0537-9

Abstract: A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate themodules, including water quality prediction, system safety assessment, emergency strategy inference and schedulingOtherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost schedulingThrough scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling

Keywords： decision support system     raw water supply system     contamination incident     emergency scheduling     hydraulic    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract:

The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicatedReactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshedThe scheduling scheme is overly sensitive to the emergence of uncertainties because the optimizationTo improve the robustness of the scheduling scheme, we propose a novel slack-based robust schedulingSimulation results show that the proposed SR can effectively improve the robustness of the scheduling

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: This paper focuses on the integrated problem of long-term planning and short-term scheduling in a large-scaleDifferent time scales are incorporated from the planning and scheduling subproblems.time representation is applied to the planning subproblem, while continuous time is applied to the schedulingonly illustrate the detailed operations in a refinery and petrochemical complex under planning and scheduling

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Study of Stability of Production Scheduling

Li Qiqiang,Shi Kaiquan

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 75-79

Abstract:

A production scheduling solution involves a great deal of constrains, which determine the feasibilityof hard constrains and soft constrains are presented, and a concept of stable degree of production schedulingA simulation result demonstrates the significance of the stability degree of scheduling in practical

Keywords： production scheduling     constrains     satisfaction degree     scheduling stability    

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Title Author Date Type Operation

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

Journal Article

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

Journal Article

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

Journal Article

Thermal-aware relocation of servers in green data centers

Muhammad Tayyab CHAUDHRY,T. C. LING,S. A. HUSSAIN,Xin-zhu LU

Journal Article

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

Journal Article

Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

Journal Article

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

Journal Article

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

Journal Article

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

Journal Article

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

Journal Article

Study of Stability of Production Scheduling

Li Qiqiang,Shi Kaiquan

Journal Article