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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

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.To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural networkleading to the integration of a data-driven approach and classical optimization by which a heuristic algorithm, but also confirm the high efficiency of the proposed algorithm for solving large-scale problems.

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

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: In this study, we considered a bi-objective, multi-project, multi-mode resource-constrained project schedulingWe developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution method

Keywords： backward–forward scheduling     hybrid bi-objective genetic algorithm     injection procedure     maximum cash balance     multi-objective multi-project multi-mode resource-constrained project scheduling problem    

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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 remanufacturingAn improved adaptive genetic algorithm was developed by using the hormone modulation mechanism to dealThe algorithm demonstrated superior performance in terms of optimal value, run time, and convergent generationComputational results indicated that the optimal scheduling scheme is expected to generate 1.7 kW∙h of

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

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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: To address this challenge, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid

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

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A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array Article

Hao-wei ZHANG, Jun-wei XIE, Wen-long LU, Chuan SHENG, Bin-feng ZONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1806-1816 doi: 10.1631/FITEE.1601358

Abstract: A hybrid optimization approach combining a particle swarm algorithm, a genetic algorithm, and a heuristicinter-leaving algorithm is proposed for scheduling tasks in the multifunction phased array radar.as well as introducing crossover operation and mutation operation of the genetic algorithm, both theefficiency and exploration ability of the hybrid algorithm are improved.Under the frame of the intelligence algorithm, the heuristic interleaving scheduling algorithm is presented

Keywords： Phased array radar     Scheduling     Particle swarm algorithm     Genetic algorithm     Pulse interleave    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: overall performance of modern manufacturing systems, effective integration of process planning and schedulingwork has been limited to solving the integrated process planning and scheduling (IPPS) problem for aIn this paper, an optimization algorithm for solving MOIPPS problem is presented.The proposed algorithm uses a set of dispatching rules coupled with priority assignment to optimize theInstances from four recent papers have been solved to demonstrate the effectiveness of the proposed algorithm

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm    

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Minimum Reserved Traffic Rate Based Fair Scheduling Algorithm in IEEE 802.16e

Shi Juncai,Hu Aiqun,Guan Yanfeng

Strategic Study of CAE 2008, Volume 10, Issue 2,   Pages 54-59

Abstract: ">According to the characteristics of IEEE 802.16-2005, a minimum reserve d traffic rate based fair schedulingalgorithm in IEEE 802.16-2005 is proposed in this paper.Furthermore, the algorithm has advantages in both fairness and through p ut performance compared withPF (proportional fair) algorithm.The algorithm pro posed in this paper is in accordance with IEEE 802-16-2005 and has gre at value.

Keywords： IEEE 802-16-2005     scheduling algorithm     QoS     fairness    

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Variable-separating-based Space Decomposition Algorithm of Production Scheduling

Gao Yongchao,Li Qiqiang,Ding Ran,Guo Qingqiang

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 61-64

Abstract:

Most static production scheduling problems are formulated in MILP ( mixed integer linear programmingIt is difficult to find solutions of scheduling because of its large scale and combinatorial charactersTaking a typical batch production scheduling as a case, the analysis shows that variable-separating strategy

Keywords： production scheduling     space decomposition     sub-definite method    

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The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 77-80

Abstract:

According to complexity and non-lineer character of transportation scheduling system in surface mine, the real time transportation scheduling system model is set up for the transportation scheduling systemThe model has been adopted by production transportation scheduling system of raw material quarry in Shaofeng

Keywords： genetic algorithms     transportation scheduling system     transportation cost    

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General modeling and optimization technique for real-world earth observation satellite scheduling

Frontiers of Engineering Management   Pages 695-709 doi: 10.1007/s42524-023-0263-3

Abstract: many modeling and optimization techniques have been developed for earth observation satellite (EOS) schedulingcases; it includes a decoupled framework, a general modeling method, and an easy-to-use algorithm libraryWith this framework, the EOS scheduling problems are appropriately modeled in a general manner, whereOn this basis, 10 types of optimization algorithms, such as Tabu search and genetic algorithm, and aparallel competitive memetic algorithm, are developed.

Keywords： earth observation satellite     scheduling     general technique     optimization algorithm     commercial constellation    

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Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: In this context, a novel structure was proposed for improving harmony search (HS) algorithm to solveThe HS algorithm obtained optimal solution for defined objective function by improvising, updating andIn the proposed improved self-adaptive HS (SGHS) algorithm, two important control parameters were adjustedto reach better solution from the simple HS algorithm.units, and the obtained results were compared with those of the simple HS algorithm and other related

Keywords： generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

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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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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 partNon-dominated sorting genetic algorithm II and technique for order preference by similarity to an idealFinally, niche genetic algorithm is utilized to minimize the makespan.

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

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Title Author Date Type Operation

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

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

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

Journal Article

A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array

Hao-wei ZHANG, Jun-wei XIE, Wen-long LU, Chuan SHENG, Bin-feng ZONG

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Minimum Reserved Traffic Rate Based Fair Scheduling Algorithm in IEEE 802.16e

Shi Juncai,Hu Aiqun,Guan Yanfeng

Journal Article

Variable-separating-based Space Decomposition Algorithm of Production Scheduling

Gao Yongchao,Li Qiqiang,Ding Ran,Guo Qingqiang

Journal Article

The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Journal Article

General modeling and optimization technique for real-world earth observation satellite scheduling

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

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