Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607446
V. Kojić, Zrinka Lukač
The long-run profit maximization is a standard and important problem having significant implications on a firm’s competitiveness. The common approach is to consider the profit maximization problem for production function with two inputs and use calculus to solve it. However, checking the necessary and sufficient conditions in case of more than two inputs can be difficult. Geometric programming provides a way to solve that problem for any number of inputs without the use of derivatives. Hereby the results are obtained much faster and the solution procedure is more elegant then when using calculus. Liu used the technique of signomial geometric programming to solve the problem in case of the Cobb-Douglas production function with two inputs. However, he was unable to prove that the result obtained is indeed the global maximum. Therefore, in this paper we solve the problem in question by using the weighted arithmetic-geometric inequality (WAG) in case of one input and some transformations of geometric programming in case of two or more inputs and prove that the result obtained is indeed the global optimum.
{"title":"Solving Profit Maximization Problem in Case of the Cobb-Douglas Production Function via Weighted AG Inequality and Geometric Programming","authors":"V. Kojić, Zrinka Lukač","doi":"10.1109/IEEM.2018.8607446","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607446","url":null,"abstract":"The long-run profit maximization is a standard and important problem having significant implications on a firm’s competitiveness. The common approach is to consider the profit maximization problem for production function with two inputs and use calculus to solve it. However, checking the necessary and sufficient conditions in case of more than two inputs can be difficult. Geometric programming provides a way to solve that problem for any number of inputs without the use of derivatives. Hereby the results are obtained much faster and the solution procedure is more elegant then when using calculus. Liu used the technique of signomial geometric programming to solve the problem in case of the Cobb-Douglas production function with two inputs. However, he was unable to prove that the result obtained is indeed the global maximum. Therefore, in this paper we solve the problem in question by using the weighted arithmetic-geometric inequality (WAG) in case of one input and some transformations of geometric programming in case of two or more inputs and prove that the result obtained is indeed the global optimum.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607512
S. Nagayoshi, J. Nakamura
Organizational culture is invisible so that it hinders us organizational change. We proposed a method to visualize organizational culture, employing multidimensional scaling analysis with 40 terms extracted from Cameron & Quinn (2006). Applying the method to a Japanese software company, we tried to visualize their organizational culture, especially to depict their core value. The results and the interpretation of them were evaluated as good by the president in the company since they were described the cultures well. Thus it has a possibility to be an effective method to visualize organizational culture.
{"title":"Visualize Organizational Perception of Core Value in the Company: An Experiment Employing Multi-dimensional Scaling and the Competing Value Framework","authors":"S. Nagayoshi, J. Nakamura","doi":"10.1109/IEEM.2018.8607512","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607512","url":null,"abstract":"Organizational culture is invisible so that it hinders us organizational change. We proposed a method to visualize organizational culture, employing multidimensional scaling analysis with 40 terms extracted from Cameron & Quinn (2006). Applying the method to a Japanese software company, we tried to visualize their organizational culture, especially to depict their core value. The results and the interpretation of them were evaluated as good by the president in the company since they were described the cultures well. Thus it has a possibility to be an effective method to visualize organizational culture.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607718
H. Castellucci, P. Arezes, M. Lavallière, N. Costa, Olivia DaDalt, J. Coughlin
The way organizations deal with aging employees and the way they manage the existence of a multigenerational gap within the workforce falls well within the scope some public information reporting practices, such as corporate responsibility. The aim of this study is to ascertain the level and characteristics of reporting practices on aging and multigenerational workforce among the top 50 global companies. The analysis of the public information disclosure was carried out using a quantitative approach by applying a three-stage data collection procedure. It can be concluded that companies’ information disclosure about aging workforce topics is markedly low and, accordingly, it appears at a low level of relevancy on their institutional websites structure/content, as well as in their public reports. The main finding pointed out to the fact that top global companies do not widely report the way they take actions to deal with aging and multigenerational workforce challenges.
{"title":"Dealing with Aging and Multigeneration Workforce Topics at Top Global Companies: Evidence from Public Disclosure Information","authors":"H. Castellucci, P. Arezes, M. Lavallière, N. Costa, Olivia DaDalt, J. Coughlin","doi":"10.1109/IEEM.2018.8607718","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607718","url":null,"abstract":"The way organizations deal with aging employees and the way they manage the existence of a multigenerational gap within the workforce falls well within the scope some public information reporting practices, such as corporate responsibility. The aim of this study is to ascertain the level and characteristics of reporting practices on aging and multigenerational workforce among the top 50 global companies. The analysis of the public information disclosure was carried out using a quantitative approach by applying a three-stage data collection procedure. It can be concluded that companies’ information disclosure about aging workforce topics is markedly low and, accordingly, it appears at a low level of relevancy on their institutional websites structure/content, as well as in their public reports. The main finding pointed out to the fact that top global companies do not widely report the way they take actions to deal with aging and multigenerational workforce challenges.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115809905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607613
Kun-Young Han, Hee-Hyol Lee
An ultra-compact binary power plant converts thermal energy into electric power using low temperature difference thermal energy between heat source and cooling source. In control of the binary power plant, changes of characteristic due to environmental condition, corrosion of related equipment and coupling between control loops are the main difficulties in designing a controller and fine-tuning its parameters. In order to realize the stable power generation it is necessary to consider a control system to keep control performance when the changes of characteristic for binary power plant, and to compensate coupling in multi-inputs and multi-outputs (MIMO) systems. A Multiply-Connected (MC) Neuro PID control system using a neural network architecture connected directly by neurons of each control loop is proposed to overcome above difficulties, and its strategy for design of the control system is introduced. The proposed MC Neuro PID control system is compared to traditional PID control systems to show the effectiveness of the MC Neuro PID control through simulations in this paper.
{"title":"Multiply-connected Neuro PID Control","authors":"Kun-Young Han, Hee-Hyol Lee","doi":"10.1109/IEEM.2018.8607613","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607613","url":null,"abstract":"An ultra-compact binary power plant converts thermal energy into electric power using low temperature difference thermal energy between heat source and cooling source. In control of the binary power plant, changes of characteristic due to environmental condition, corrosion of related equipment and coupling between control loops are the main difficulties in designing a controller and fine-tuning its parameters. In order to realize the stable power generation it is necessary to consider a control system to keep control performance when the changes of characteristic for binary power plant, and to compensate coupling in multi-inputs and multi-outputs (MIMO) systems. A Multiply-Connected (MC) Neuro PID control system using a neural network architecture connected directly by neurons of each control loop is proposed to overcome above difficulties, and its strategy for design of the control system is introduced. The proposed MC Neuro PID control system is compared to traditional PID control systems to show the effectiveness of the MC Neuro PID control through simulations in this paper.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115025217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607297
Miaoquan Li, Yuan-geng Huang
Industry-university-research collaboration plays an important role in realizing effective allocation of scientific and technological resources. Government subsidy has proven an effective tool to promote effective allocation of resources. The paper divides resources allocation efficiency into market allocation efficiency, technology allocation efficiency and knowledge allocation efficiency. And then, the method of stochastic frontier approach (SFA) is used to measure allocation efficiency of resources of enterprises’ self-innovation and collaborative innovation. Based on the panel data of innovation input and output of 211 high-tech enterprises from 2015 to 2017, it is found that the efficiency of resources allocation of collaborative innovation is higher than self-innovation. Government subsidy promotes both knowledge allocation efficiency and technologies allocation efficiency of the two models of innovations, while insignificantly promote market allocation efficiency.
{"title":"Government Subsidy, Industry-university-research Collaborative Innovation and Resources Allocation Efficiency","authors":"Miaoquan Li, Yuan-geng Huang","doi":"10.1109/IEEM.2018.8607297","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607297","url":null,"abstract":"Industry-university-research collaboration plays an important role in realizing effective allocation of scientific and technological resources. Government subsidy has proven an effective tool to promote effective allocation of resources. The paper divides resources allocation efficiency into market allocation efficiency, technology allocation efficiency and knowledge allocation efficiency. And then, the method of stochastic frontier approach (SFA) is used to measure allocation efficiency of resources of enterprises’ self-innovation and collaborative innovation. Based on the panel data of innovation input and output of 211 high-tech enterprises from 2015 to 2017, it is found that the efficiency of resources allocation of collaborative innovation is higher than self-innovation. Government subsidy promotes both knowledge allocation efficiency and technologies allocation efficiency of the two models of innovations, while insignificantly promote market allocation efficiency.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607661
M. Poorkiany, J. Johansson, F. Elgh
In this paper a method is introduced that supports reuse and maintenance of design information. The method allows sharing design information in different levels of details tailored for the stakeholders according to their needs. In addition, it is possible to share the information in multiple formats to suite different purposes. The results are demonstrated in an industrial partner which is a supplier of tooling for manufacturing industry.
{"title":"Support Reuse and Maintenance of Design Information in a Development Process of Custom Engineered Product","authors":"M. Poorkiany, J. Johansson, F. Elgh","doi":"10.1109/IEEM.2018.8607661","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607661","url":null,"abstract":"In this paper a method is introduced that supports reuse and maintenance of design information. The method allows sharing design information in different levels of details tailored for the stakeholders according to their needs. In addition, it is possible to share the information in multiple formats to suite different purposes. The results are demonstrated in an industrial partner which is a supplier of tooling for manufacturing industry.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116819133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607634
U. Dombrowski, A. Karl, Alexander Reiswich
In order to be competitive on the market as a company, entrepreneurial processes must be constantly adapted to new requirements. An important factor for competitiveness is the targeted design of the factory. Factory planning must identify future requirements for the entire factory at an early stage and transfer them to a suitable factory structure. If this does not happen, the ability of companies to change will be restricted. In order to counter this risk, the digital factory with its digital tools and methods provides a solid basis for assisting planners with the design and realizing the required goals for the factory. Using modern digital assistance systems in factory planning, relevant planning restrictions can be identified and the planning status can be visualized and validated. It is unclear what effects the new requirements and in some cases disruptive changes will have on the classic factory planning process. This article discusses the use of business process modeling to identify, model, analyze and adapt classic factory planning processes. The goal is to generate futureproof factory planning processes. These form the basis for adapting classic tools and methods at the digital factory to the new processes. The digital factory 4.0 is created.
{"title":"Reengineering of Factory Planning Process for the Realization of Digital Factory 4.0","authors":"U. Dombrowski, A. Karl, Alexander Reiswich","doi":"10.1109/IEEM.2018.8607634","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607634","url":null,"abstract":"In order to be competitive on the market as a company, entrepreneurial processes must be constantly adapted to new requirements. An important factor for competitiveness is the targeted design of the factory. Factory planning must identify future requirements for the entire factory at an early stage and transfer them to a suitable factory structure. If this does not happen, the ability of companies to change will be restricted. In order to counter this risk, the digital factory with its digital tools and methods provides a solid basis for assisting planners with the design and realizing the required goals for the factory. Using modern digital assistance systems in factory planning, relevant planning restrictions can be identified and the planning status can be visualized and validated. It is unclear what effects the new requirements and in some cases disruptive changes will have on the classic factory planning process. This article discusses the use of business process modeling to identify, model, analyze and adapt classic factory planning processes. The goal is to generate futureproof factory planning processes. These form the basis for adapting classic tools and methods at the digital factory to the new processes. The digital factory 4.0 is created.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116910924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607731
Xuedong Liang, Yangjingjing Zhang, Yue Lu, Canmian Liu
The development level of service industry has gradually become an important standard to measure the degree of economic development. Accelerating the development of service industry in Sichuan province is the strategic choice to establish economic development highland of west China. Based on the statistical data of service industry in 2016, this paper regards the cities and states in Sichuan province as individuals, and takes the economic ties of the cities and states as relations. Finally, the network structure characteristics of service industry in Sichuan province are described and analyzed by using social network analysis method, which can provide reference for the rational layout of service industry structure and the sustainable and balanced development of regional service industry.
{"title":"Research on Service Industry Network Structure based on Social Network Analysis","authors":"Xuedong Liang, Yangjingjing Zhang, Yue Lu, Canmian Liu","doi":"10.1109/IEEM.2018.8607731","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607731","url":null,"abstract":"The development level of service industry has gradually become an important standard to measure the degree of economic development. Accelerating the development of service industry in Sichuan province is the strategic choice to establish economic development highland of west China. Based on the statistical data of service industry in 2016, this paper regards the cities and states in Sichuan province as individuals, and takes the economic ties of the cities and states as relations. Finally, the network structure characteristics of service industry in Sichuan province are described and analyzed by using social network analysis method, which can provide reference for the rational layout of service industry structure and the sustainable and balanced development of regional service industry.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607559
M. Riesener, C. Dölle, Lukas Schmitt, Merle-Hendrikje Jank
Due to diminishing product life cycles and a need to satisfy heterogeneous customer requirements, companies across all industries introduce a multitude of product variants into their portfolio. These portfolio expansions often happen unsystematically while hindering the alignment with corporate goals. However, to grow sustainably and remain competitive, it is essential for a company's product portfolio to coincide stringently with corporate goals. While current research focusses on portfolio design based on financial indicators, none of the methodologies is successful in measuring portfolio alignment along with corporate goals and deriving recommendations for actions for product managers based on key figures. This paper promotes a methodology to overcome these limitations. The method is then validated using an evolutionary algorithm.
{"title":"Development of a Methodology to Design Product Portfolios in Accordance to Corporate Goals Using an Evolutionary Algorithm","authors":"M. Riesener, C. Dölle, Lukas Schmitt, Merle-Hendrikje Jank","doi":"10.1109/IEEM.2018.8607559","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607559","url":null,"abstract":"Due to diminishing product life cycles and a need to satisfy heterogeneous customer requirements, companies across all industries introduce a multitude of product variants into their portfolio. These portfolio expansions often happen unsystematically while hindering the alignment with corporate goals. However, to grow sustainably and remain competitive, it is essential for a company's product portfolio to coincide stringently with corporate goals. While current research focusses on portfolio design based on financial indicators, none of the methodologies is successful in measuring portfolio alignment along with corporate goals and deriving recommendations for actions for product managers based on key figures. This paper promotes a methodology to overcome these limitations. The method is then validated using an evolutionary algorithm.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126021048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607564
Mingyao Qi, Wangqi Xiong, Qingte Zhou, Shijia Hua
The periodic vehicle routing problem (PVRP) has wide applications, such as express service, elevator maintenance and urban waste collection, where customers expect fast response and small delays. The existence of uncertainty has significant influence on the cost and customer experience. Therefore, it is crucial to build routes that would be less sensitive to uncertainty. In the paper, we research on the PVRP with service time uncertainty, while no robust optimization for PVRP has been studied before. Each request for service will include an uncertain service time and a deadline for the start of service. We propose the robust model of PVRP with service time uncertainty whose objective is to minimize the overall cost including travel cost, customer's waiting cost and technician's overtime cost. Due to the complexity of the problem, we design a variable neighborhood search algorithm based on worst case to solve it. Numerical experiments prove that: 1) the robust solution has a sufficient immunity against the service time uncertainty; 2) a large uncertainty set parameters might lead to overly conservative robust solution with higher cost.
{"title":"Robust Periodic Vehicle Routing Problem with Service Time Uncertainty","authors":"Mingyao Qi, Wangqi Xiong, Qingte Zhou, Shijia Hua","doi":"10.1109/IEEM.2018.8607564","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607564","url":null,"abstract":"The periodic vehicle routing problem (PVRP) has wide applications, such as express service, elevator maintenance and urban waste collection, where customers expect fast response and small delays. The existence of uncertainty has significant influence on the cost and customer experience. Therefore, it is crucial to build routes that would be less sensitive to uncertainty. In the paper, we research on the PVRP with service time uncertainty, while no robust optimization for PVRP has been studied before. Each request for service will include an uncertain service time and a deadline for the start of service. We propose the robust model of PVRP with service time uncertainty whose objective is to minimize the overall cost including travel cost, customer's waiting cost and technician's overtime cost. Due to the complexity of the problem, we design a variable neighborhood search algorithm based on worst case to solve it. Numerical experiments prove that: 1) the robust solution has a sufficient immunity against the service time uncertainty; 2) a large uncertainty set parameters might lead to overly conservative robust solution with higher cost.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126111940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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