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MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 186-200 doi: 10.1007/s11708-019-0644-9

Abstract: predictive control are proposed to handle the uncertain-but-bounded parameters in electric water heater loadscheduling.of electric water heater is transformed into an interval number model, based on which, the day-ahead loadscheduling problem with uncertain parameters is formulated, and solved by interval number optimizationboth forecasts and newly updated information is utilized to make and execute electric water heater load

Keywords： electric water heater     load scheduling     interval number optimization     model predictive control     uncertainty    

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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 schedulingimplemented in an energy company devoted to developing and implementing an advanced refinery production scheduling

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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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4,   Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: The composite load is a combination of the static and dynamic load model.To develop this composite load model, the exponential load is used as a static load model and inductionmotors (IMs) are used as a dynamic load model.This aggregate model is used as a dynamic load model.exponential model of static load and for the fifth and third order IM dynamic load model using state

Keywords： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor loadmodel     aggregate load    

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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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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: In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF

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

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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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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: resulted in increased possibilities of energy conservation during the remanufacturing process, and schedulingHowever, only a few studies have specifically addressed energy-efficient scheduling for remanufacturingadaptive genetic algorithm was developed by using the hormone modulation mechanism to deal with the schedulingComputational results indicated that the optimal scheduling scheme is expected to generate 1.7 kW∙h ofbasis for production managers to improve the sustainability of remanufacturing through energy-aware scheduling

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

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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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Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 223-237 doi: 10.1007/s42524-020-0097-1

Abstract: The finance-based scheduling problem (FBSP) is about scheduling project activities without exceeding

Keywords： multi-objective optimization     finance-based scheduling     multi-mode project scheduling     mixed-integer linear    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: In this paper, a multi-timescale optimal scheduling model is established for interconnected data centers

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Title Author Date Type Operation

MPC-based interval number optimization for electric water heater scheduling in uncertain environments

Jidong WANG, Chenghao LI, Peng LI, Yanbo CHE, Yue ZHOU, Yinqi LI

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

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

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

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

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

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

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

Study of Stability of Production Scheduling

Li Qiqiang,Shi Kaiquan

Journal Article

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article