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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: The conceptual process design of novel bioprocesses in biorefinery setups is an important task, whichWe propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingto determine candidate process topologies and simulation-based optimization to consolidate the process

Keywords： biotechnology     surrogate modelling     superstructure optimization     simulation-based optimization     process    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management doi: 10.1007/s42524-022-0221-5

Abstract: split-order consolidation problem that online supermarket is confronting and summarizes the new operational processThen, a time–space network optimization model is built, and its corresponding solution algorithm is presented

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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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:

For increasing the overall performance of modern manufacturing systems, effective integration of processOwing to the complexity of handling process planning and scheduling simultaneously, most of the researchwork has been limited to solving the integrated process planning and scheduling (IPPS) problem for aproblems cannot be fully captured considering only a single objective for optimization.In this paper, an optimization algorithm for solving MOIPPS problem is presented.

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

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Optimization of remanufacturing process routes oriented toward eco-efficiency

Hong PENG, Han WANG, Daojia CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 422-433 doi: 10.1007/s11465-019-0552-z

Abstract: Remanufacturing route optimization is crucial in remanufacturing production because it exerts a considerableTherefore, an optimization model for remanufacturing process routes oriented toward eco-efficiency isThe ICAM definition method is utilized to design alternative remanufacturing process routes for the used(PSO) is applied to select the manufacturing process route with the best eco-efficiency.of the remanufacturing process route is realized by MATLAB programming.

Keywords： remanufacturing     process route optimization     eco-efficiency     simulated particle swarm optimization algorithm    

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Perspectives in multilevel decision-making in the process industry

Braulio BRUNAUD, Ignacio E. GROSSMANN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 256-270 doi: 10.15302/J-FEM-2017049

Abstract: converging the integrated solutions are also analyzed, including solving large-scale models, multiobjective optimization

Keywords： supply chain optimization     enterprise-wide optimization     multilevel optimization     planning     scheduling    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: Reactive distillation process, a representative process intensification technology, has been widely appliedseparation, the extension of reactive distillation technology is restricted by the difficulties in processTo overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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Multiscale process systems engineering—analysis and design of chemical and energy systems from moleculardesign up to process optimization

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 137-140 doi: 10.1007/s11705-021-2135-x

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Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 210-220 doi: 10.1007/s11705-021-2046-x

Abstract: The ability of simulations to reflect real process behavior strongly depends on model quality.Validation and adaption of process models are usually based on available plant data.Using such a model in various simulation and optimization studies can support the process designer in

Keywords： decision support     multicriteria optimization     model validation     dynamic model     sensitivity analysis    

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Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Modeling and optimization is crucial to smart chemical process operations.However, a large number of nonlinearities must be considered in a typical chemical process accordingthis paper presents an efficient hybrid framework of integrating machine learning and particle swarm optimizationFirstly, a data set was generated based on process mechanistic simulation validated by industrial dataFinally, optimal process operations were obtained by using the particle swarm optimization approach.

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 232-242 doi: 10.1007/s11465-018-0469-y

Abstract: A central technology of intelligent machining—the cutting process online monitoring and optimizationIn this research, the cutting process online monitoring and optimization in jet engine impeller machiningResults show that intelligent tool path optimization and cutting process online monitoring are efficient

Keywords： intelligent machining     tool path strategy     process optimization     online monitoring    

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Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6,   Pages 892-900 doi: 10.1007/s11783-012-0440-9

Abstract: to determine the optimal conditions enhancing the magnesium ammonium phosphate (MAP) precipitation processIn the precipitation process, pH could be maintained at the optimal range of 8–9.5 because MgO couldCalcium ions and carbonate ions existed in the leachate could affect the precipitation process, which

Keywords： magnesium ammonium phosphate precipitation     mature landfill leachate     optimization     ammonium-nitrogen    

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Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 85-95 doi: 10.1007/s11465-018-0491-0

Abstract: The determination of process parameters is important in obtaining qualified products and maintainingThis article reviews the recent studies and developments of the intelligent methods applied in the processinto three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimizationA framework of process parameter determination is proposed after comprehensive discussions.

Keywords： injection molding     intelligent methods     process parameters     optimization    

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Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 319-332 doi: 10.1007/s11465-013-0269-3

Abstract:

The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization hasNon-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimizationIn this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond FaceANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process

Keywords： electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     genetic algorithm     modeling and optimization    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzingelectro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract:

Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantagesThe process offers several special privileges such as higher machining rate, better accuracy and controlContribution of too many predominate parameters in the process, makes its prediction and selection ofThen the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SRFinally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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Optimization of the main liming process for inulin crude extract from Jerusalem artichoke tubers

Huandong LI, Hongji ZHU, Jianjun QIAO, Junhu DU, Hua ZHANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 3,   Pages 348-355 doi: 10.1007/s11705-012-1295-0

Abstract: the quicklime mass, the reaction temperature and the reaction time were optimized for the main liming processThe optimal conditions for the main liming process were determined to be 12.0 g/L, 71.4°C and 8 min.

Keywords： inulin     homogenate extraction     Jerusalem artichoke     main liming process    

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Title Author Date Type Operation

Synergistic optimization framework for the process synthesis and design of biorefineries

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

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

Optimization of remanufacturing process routes oriented toward eco-efficiency

Hong PENG, Han WANG, Daojia CHEN

Journal Article

Perspectives in multilevel decision-making in the process industry

Braulio BRUNAUD, Ignacio E. GROSSMANN

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

Multiscale process systems engineering—analysis and design of chemical and energy systems from moleculardesign up to process optimization

Journal Article

Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Journal Article

Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Journal Article

Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Journal Article

Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

Journal Article

Intelligent methods for the process parameter determination of plastic injection molding

Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI

Journal Article

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzingelectro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Optimization of the main liming process for inulin crude extract from Jerusalem artichoke tubers

Huandong LI, Hongji ZHU, Jianjun QIAO, Junhu DU, Hua ZHANG

Journal Article