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Evaluating the moderated-mediation effects of switchingcosts in the link between social capital and NPD performance

Journal of Management Science and engineering 2024年第2期9卷 161-176页

作者： Yi Li Nelson Oly Ndubisi Gang Li Jinpeng Xu School of Economics&Management Xidian UniversityXi'anChina College of Business&Economics Qatar UniversityDohaQatar School of Management Xi'an Jiao Tong UniversityXi'anChina The State Key Lab for Manufacturing Systems Engineering Xi'anChina The Key Laboratory of the Ministry of Education for Process Control and Efficiency Projects Xi'anChina

In this study,we explore the causes and performance outcomes of switching costs in the context of new product development(NPD)from both the supplier and customer perspectives,and discuss the role that switching costs play as moderators and mediators in the relationship between social capital and NPD *** on data from 214 Chinese manufacturers,we employ the structural equation model to test our conceptual model and *** results indicate that relationship quality and customer involvement positively and negatively affect switching costs,respectively,and that switching costs negatively affect NPD *** costs mediate and moderate the relationship between social capital and NPD ***,switching costs significantly and positively moderate the relationship between relationship quality and NPD *** the other hand,switching costs insignificantly and negatively moderate the relationship between customer involvement and NPD *** theoretical and managerial implications of the findings are discussed.

关键词： Social capital New product development(NPD) Performance Switching costs Moderated mediation analysis China

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Mechanistic data-driven combined modelling and predictive control method for coal-fired power unit 5

Mechanistic data-driven combined modelling and predictive co...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Hu, Jingyu Han, Zhongyang Zhao, Jun Wang, Wei Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Control Science and Engineering Liaoning 116024 China

ISBN: (纸本)9798350325294

With the increase of the proportion of new energy sources connected to the grid, challenges are also emerged for modeling and control of the conventional coal-fired power units to increase their operational flexibility of deep peak-regulation. Traditional data-driven modelling (DDM) requires a large amount of training data containing a variety of operating conditions, which are hard to be fully satisfied in engineering practice. This paper investigates the mechanics and dynamic characteristics of boiler-turbine systems in the coal-fired power unit, and proposes a mechanistic data-driven combined modelling (M-DDM) method. It not only requires less amount of data comparing with the DDM based method, but also covers a wide range of operating conditions by considering the dynamic characteristics of the coal-fired power unit. A model predictive control (MPC) based method was subsequently designed as the control vehicle. In order to improve the computing efficiency and reduce the probability of model mismatch considering the involved ordinary differential equations (ODEs) and nonlinearities. reinforcement learning is embedded into the MPC. Finally, simulations are conducted for demonstrating the superior performance of the proposed methods comparing with other commonly deployed modeling and control methods. © 2023 IEEE.

关键词： Model predictive control

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Scheduling Optimization of Coal Washing process Based on Two-Stage Fuzzy Heuristic Algorithm 13

Scheduling Optimization of Coal Washing Process Based on Two...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Zhou, Hui Wang, Zhiyuan Han, Zhongyang Wang, Linqing Zhao, Jun Wang, Wei Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350361674

Coal washing and sorting plays a vital role for coal production. Reasonable scheduling of washing and sorting equipment, crushers and various coal silos in the coal washing and sorting process can effectively increase the total value of product coal and reduce the total energy consumption of equipment. In this paper, a multi-constrained nonlinear mixed integer programming model considering the start and stop of each equipment in the washing process is established to realize the specific regulation of the washing process. In order to overcome the problem such as local convergence when solving high-dimensional space problems, a two-stage fuzzy heuristic algorithm is proposed in this paper. In the first stage, a variety of population genetic algorithms based on fuzzy adaptive strategy control are designed for global search to establish an elite population bank to preserve high-quality individuals produced by various groups. In the second stage, an improved simulated annealing algorithm is used to perform a local search with a backtracking process on specific neighbors of individuals in the elite population bank, which can improve the stability of the algorithm and reduce the situation of falling into local convergence. Then the real data of a Chinese coal mining company was used for experiments, where the proposed algorithm is compared with other commonly used methods. The experimental results demonstrate that the proposed algorithm can increase the total coal value of the washed product by at least 1.7% compared to other algorithms, and the average total number of starts and stops of the equipment is reduced by about 7.3%, which are effectively beneficial for the related enterprise. © 2024 IEEE.

关键词： Coal mines

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Coupling effect of micro-textured tools and cooling conditions on the turning performance of aluminum alloy 6061

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Advances in Manufacturing 2023年第4期11卷 663-681页

作者： Guo-Liang Liu Jin-Tao Zheng Chuan-Zhen Huang Shu-Feng Sun Xin-Fu Liu Long-Jie Dai De-Xiang Wang Xiang-Yu Wang Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of EducationKey Lab of Industrial Fluid Energy Conservation and Pollution ControlMinistry of EducationSchool of Mechanical and Automotive EngineeringQingdao University of TechnologyQingdao266520ShandongPeople’s Republic of China State Key Laboratory of High Performance Complex Manufacturing Central South UniversityChangsha410083People’s Republic of China Key Laboratory of High-Efficiency and Clean Mechanical Manufacture(Ministry of Education) School of Mechanical EngineeringShandong UniversityJinan250061People’s Republic of China School of Mechanical Engineering Yanshan UniversityQinhuangdao066004HebeiPeople’s Republic of China Qingdao Choho Ind Co Ltd Qingdao266705ShandongPeople’s Republic of China School of Mechanical Engineering University of JinanJinan250022People’s Republic of China

Micro-texturing has been widely proven to be an effective technology for achieving sustainable ***,the performance of micro-textured tools under different cooling conditions,especially their coupling effect on machined surface integrity,was scarcely *** this paper,the non-textured,linear micro-grooved,and curvilinear micro-grooved inserts were used to turn aluminum alloy 6061 under dry,emulsion,and liquid nitrogen cryogenic cooling *** coupling effects of different micro-textures and cooling conditions on cutting force,cutting temperature,and machined surface integrity,including the surface roughness,work hardening,and residual stress,were revealed and discussed in *** indicated that the micro-grooved tools,especially the curvilinear micro-grooved tools,not only reduced the cutting force and cutting temperature,but also improved the machined surface *** addition,the micro-grooved tools can cooperate with the emulsion or liquid nitrogen to reduce the cutting force,cutting temperature,and improve the machined surface integrity generally,although the combination of emulsion cooling condition and micro-grooved tools generated negative coupling effects on cutting forces and surface work ***,the combination of curvilinear micro-grooved cutting tools and cryogenic cooling condition resulted in the lowest cutting force and cutting temperature,which generated the surface with low roughness,weak work hardening,and compressive residual stress.

关键词： Micro-grooved cutting tool Cooling condition Cutting force Cutting temperature Surface integrity

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control Method for Desorption Tower Liquid Level in Fluidized Catalytic Cracking Based on LESO-DMC

Control Method for Desorption Tower Liquid Level in Fluidize...

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2023 China Automation Congress, CAC 2023

作者： Xiao, Jinkun Zhu, Haibo Zhou, Fan Sun, Kaibiao Zhao, Jun Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment Ministry of Education China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350303759

Fluidized catalytic cracking (FCC) units are crucial equipment in the petroleum refining process, and the level of control directly impacts product quality and yield. To improve the control level of the desorption tower in FCC, this paper proposes a dynamic matrix control (DMC) approach based on the active disturbance rejection strategy. Based on DMC, a linear extended state observer (LESO) is constructed to compensate for model plant mismatch (MPM) and unknown disturbances. The observer bandwidth parameters are determined to optimize robustness, enabling the implementation of active disturbance rejection model predictive control in FCC units. A comparative experimental study is conducted, comparing the proposed method with the traditional DMC approach that does not account for uncertainties and disturbances. The impact of different disturbances on the control strategy is discussed. Experimental results demonstrate that the proposed method exhibits superior control performance and stronger disturbance rejection capability for the liquid level in the desorption tower of the FCC unit. © 2023 IEEE.

关键词： Fluidization

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The Impact of Emotional Intelligence, Managerial Intelligence, and Transformational Leadership on Multidimensional Public Project Success

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IEEE engineering Management Review 2022年第4期50卷 111-126页

作者： Fareed, Muhammad Zeeshan Su, Qin Naqvi, Najam Abbas Xian Jiaotong University School of Management Xian710049 China State Key Laboratory for Manufacturing Systems Engineering Xi'an710049 China Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering Xi'an710049 China Institute of Space Technology National Center of GIS and Space Applications Islamabad44000 Pakistan

The project manager's role and influence on the project's overall outcome have fascinated many academicians, researchers, and practitioners. The project manager's leadership and human skills play a vital role in the project's outcome;therefore, it is imperative for these competencies to be identified, learned, and leadership styles to be adopted. This study aims to define the most relevant competencies to multidimensional project success and their interrelationship. The quantitative method was used by applying a survey to project managers and team members working in the public sector of Pakistan. The results suggest that a combination of emotional, managerial intelligence, and transformational leadership are stronger predictors of multidimensional public project success. This study has shown that management and leadership need to be integrated to achieve better results. Project managers need to combine soft and hard skills, leadership competencies, and management to engage with people and be effective in terms of processes, tasks, and objectives. © 1973-2011 IEEE.

关键词： Project management

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Competition and Cooperation Mechanism Between Agency Selling and Wholesale: An Application of the Emerging E-commerce Model

Competition and Cooperation Mechanism Between Agency Selling...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Wang, Haonan Lee, C.K.M. Ji, Ping Li, Gang The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong Laboratory for Artificial Intelligence in Design Hong Kong Science Park New Territories Hong Kong Xi'an Jiaotong - Liverpool University China School of Management Xi'an Jiaotong University The State Key Lab for Manufacturing Systems Engineering The Key Lab of the Ministry of Education for Process Control and Efficiency Engineering Xi'an China

ISBN: (纸本)9798350323153

Recently, the platform economy allows enterprises to collab.rate with business partners and provide additional channels for various parties. E-commerce platforms have become integral channels for connecting suppliers with consumers. In the platform economy, agency selling and reselling are two predominant sales models that often coexist for the same product types, resulting in a competitive relationship. This study analyzes transaction data for 30,000 Stock Keeping Units (SKUs) provided by the Chinese e-commerce platforms over one month. We employ three models to compare the sales quantity and profits of manufacturers and online platforms and to identify the most efficient mode for stakeholders based on the model establishment and empirical evidence. Our findings suggest that apart from the existing channel to provide products to customers, manufacturers enter the platform which will increase the profit of platform operators. On the other hand, platform operators may also affect the profit of the manufacturers. © 2023 IEEE.

关键词： Channel structure Data-analysis Online platform

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Research on Whole-Link Risk Situational Awareness Index System and Dynamic Risk Pool Supervision 11

Research on Whole-Link Risk Situational Awareness Index Syst...

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11th International Conference on Networks, Communication and Computing, ICNCC 2022

作者： Sun, Jingchun Deng, Fei Du, Boya School of Management Xi'An Jiaotong University China Key Laboratory of the Ministry of Education for Process Control and Efficiency Engineering China College of Information Engineering Kunming University China Key Laboratory of Data Governance and Intelligent Decision Universities of Yunnan China

ISBN: (纸本)9781450398039

With the development of society, network security becomes more and more important. It is inevitable to establish the risk index system to effectively monitor the security of network. In the previous study, due to absence of risk indicators, the risk supervising system is not perfect. However, there are few researches on the whole-link risk index system, and the determination of risk indicators lacks basis. Therefore, this paper firstly constructs a new risk index system of situational awareness, which can avoid the omission of risk indicators. Then the sliding window is used to observe this system and the optimal window width is found to determine the dynamic risk pool. Finally, the indicators of dynamic risk pool are used to dynamically monitor the whole link risk index system. The whole technical framework not only proves advantages of the mature risk index system of situational awareness, but also overcomes the disadvantage that the risk index of the whole link cannot be determined, and the dynamic risk pool has the sharing characteristics in the whole process. © 2022 ACM.

关键词： Network security

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ESO-Based Data Driven Set-Point Learning control for Nonlinear batch processes with PD-Type Feedback control Structure Subject to Nonrepetitive Uncertainties* 13

ESO-Based Data Driven Set-Point Learning Control for Nonline...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Ahmad, Naseem Hao, Shoulin Liu, Tao Gong, Yihui Zhang, Jiyan Wang, Haixia Zhu, Yong Dalian University of Technology Key Lab. of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Institute of Advanced Control Technology Dalian University of Technology Dalian116024 China School of Biomedical Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350361674

In this paper, an extended state observer (ESO) based data-driven set-point learning control (DDSPLC) scheme is proposed for nonlinear batch processes configured with an inherent PD-type control loop, so as to actively suppress the adverse effect of nonrepetitive external disturbances and nonidentical initial resetting conditions, by only utilizing the availab.e process input/output data. The controlled process is firstly reformulated as an iterative dynamic linearization data model (IDLDM) with an extra generalized disturbance, where the unknown pseudo partial derivative and the generalized disturbance are, respectively, estimated by a projection-like algorithm and iterative ESO along the batch direction. By virtue of the estimated PPD and generalized disturbance, a set-point learning updating law with adaptive learning gain is then developed to optimize the tracking performance from batch-to-batch, by tuning the set-point command of the closed-loop PD-type control. Robust convergence analysis for the established closed-loop learning system is analyzed rigorously. The effectiveness and superiority of the proposed scheme are verified by an illustrative example. © 2024 IEEE.

关键词： State estimation

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Numerical modeling of droplets injection in the secondary flow of the wet steam ejector in the refrigeration cycle

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INTERNATIONAL JOURNAL OF REFRIGERATION 2022年 136卷 103-113页

作者： Dadpour, Daryoush Lakzian, Esmail Gholizadeh, Mohammad Ding, Hongbing Han, Xu [a]Center of Computational Energy Department of Mechanical Engineering Hakim Sabzevari University Sabzevar Iran [b]Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Tianjin 300072 China [c]Key Lab of Condition Monitoring and Control for Power Plant Equipment North China Electric Power University Ministry of Education Baoding 071003 China

Steam ejector plays a key role in the refrigeration system. The water has been used as a working fluid because water is more economical and non-toxic. The operating fluid often enters the evaporator as a water liquid and droplets evaporate by absorbing heat. Cooling load changing causes the vapor in the outlet of the evaporator to be accompanied by droplets. Therefore, there are droplets at the inlet of secondary nozzle and flow should be simulated as a wet steam flow with injection droplets at the secondary flow. In this paper, the effects of droplets injection at secondary flow have been investigated on the performance of the refrigeration cycle. For this purpose, the Eulerian-Eulerian method has been used and the results have been validated with experimental data. Six cases are considered with different wetness and number of droplets in the secondary flow. The results of case 6 show COP, T-outlet, and ER decrease about 22.93%, 15.66%, and 22.93%, respectively. In addition, the steam accompanies by droplets at the outlet of ejector. Therefore, it is essential for designers and operators to model and consider the effects of the droplets on the wall erosion to optimize the wet steam ejector and refrigeration cycle performance.

关键词： Wet steam ejector Refrigeration cycle Droplets injection COP ER

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