Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607351
S. Sulistyo, Derana W. Adilia, N. Masruroh
The cost of the new product development (NPD) process takes a significant amount of the total cost. Manufacturers need to implement the right strategy to avoid losses due to the failure. The integration of the selection of products, processes, and supply chain elements can be one of the means. In this research, the model of product, process, and supply chain configuration was built; consisting of three echelons of component suppliers, manufacturers, and distributors. This model resulted in a mixed integer linear programming model that can be solved using the branch and bound method. The model can help the manufacturers in deciding when to start the NPD process and the production activities. This model will also help the companies in determining the product type to be produced, the quantity of production, the selected supply chain element and the distribution allocation so that the profits of the manufacturers will be maximized. The model is tested using a numerical example and is implemented using data from a creative industry engaged in fashion.
{"title":"Supply Chain Configuration Modeling for Multi-product Multi-echelon","authors":"S. Sulistyo, Derana W. Adilia, N. Masruroh","doi":"10.1109/IEEM.2018.8607351","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607351","url":null,"abstract":"The cost of the new product development (NPD) process takes a significant amount of the total cost. Manufacturers need to implement the right strategy to avoid losses due to the failure. The integration of the selection of products, processes, and supply chain elements can be one of the means. In this research, the model of product, process, and supply chain configuration was built; consisting of three echelons of component suppliers, manufacturers, and distributors. This model resulted in a mixed integer linear programming model that can be solved using the branch and bound method. The model can help the manufacturers in deciding when to start the NPD process and the production activities. This model will also help the companies in determining the product type to be produced, the quantity of production, the selected supply chain element and the distribution allocation so that the profits of the manufacturers will be maximized. The model is tested using a numerical example and is implemented using data from a creative industry engaged in fashion.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"136 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":"132118409","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}
The purpose of this paper is to evaluate diesel engine quality by applying the Fuzzy Analytic Hierarchy Process (FAHP) and the improved close value method. The fuzzy analytic hierarchy process uses two groups of experts and engineers to score, and tests their results, and then weights together to give the index weights, so that the weight determination is more credible. In addition, for the problems of positive index, reverse index, and moderate index in the diesel engine index, a more appropriate close value method was used for comprehensive evaluation. This paper improves the close value method so that it can handle multiple types of index problems. Finally, by comparing with the TOPSIS method, it was found that the combination of FAHP and the close value method can make a more accurate judgment of the quality evaluation of the diesel engine.
{"title":"Quality Evaluation of Diesel Marine Engine Based on Fuzzy Analytic Hierarchy Process and Improved Close Value Method","authors":"Yuliang Zhou, Shenghan Zhou, Yiyong Xiao, Wenbing Chang","doi":"10.1109/IEEM.2018.8607533","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607533","url":null,"abstract":"The purpose of this paper is to evaluate diesel engine quality by applying the Fuzzy Analytic Hierarchy Process (FAHP) and the improved close value method. The fuzzy analytic hierarchy process uses two groups of experts and engineers to score, and tests their results, and then weights together to give the index weights, so that the weight determination is more credible. In addition, for the problems of positive index, reverse index, and moderate index in the diesel engine index, a more appropriate close value method was used for comprehensive evaluation. This paper improves the close value method so that it can handle multiple types of index problems. Finally, by comparing with the TOPSIS method, it was found that the combination of FAHP and the close value method can make a more accurate judgment of the quality evaluation of the diesel engine.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"48 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":"132279841","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.2018.8607545
Chun-Chieh Wang, Mu-Hsuan Huang, Yu-Wei Chang
Six agricultural giants merged into three separate companies in 2016: Dow Chemical and DuPont agreed to a merger, ChemChina purchased Sygenta’s American business interests, and Bayer purchased Monsanto. These mega mergers in agrichemical industry made farmers and consumers feeling uneasy for food system controlled by these three mega-corporations. This study focuses on measuring technological advantages gains from their mergers and acquisitions activities. Through patent bibliometrics analysis based on US patents in recent ten years, we found that Dow Chemical and DuPont have higher technology similarity in Biopesticides, Organic Chemistry, Organic Macromolecular Compounds, Genetic Engineering, and New Plants fields; while Bayer and Monsanto are in Biopesticides, Genetic Engineering, and New Plants fields. We conclude that Dow Chemical and DuPont gain technology advantage through more technology similarity in five agrichemical fields; Bayer gain technology advantage through the effects of technology originality from Monsanto especially in the Genetic Engineering field.
{"title":"Evidences of Technological Advantage Gains: The Case of Mergers and Acquisitions in the Agrichemical Industry","authors":"Chun-Chieh Wang, Mu-Hsuan Huang, Yu-Wei Chang","doi":"10.1109/IEEM.2018.8607545","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607545","url":null,"abstract":"Six agricultural giants merged into three separate companies in 2016: Dow Chemical and DuPont agreed to a merger, ChemChina purchased Sygenta’s American business interests, and Bayer purchased Monsanto. These mega mergers in agrichemical industry made farmers and consumers feeling uneasy for food system controlled by these three mega-corporations. This study focuses on measuring technological advantages gains from their mergers and acquisitions activities. Through patent bibliometrics analysis based on US patents in recent ten years, we found that Dow Chemical and DuPont have higher technology similarity in Biopesticides, Organic Chemistry, Organic Macromolecular Compounds, Genetic Engineering, and New Plants fields; while Bayer and Monsanto are in Biopesticides, Genetic Engineering, and New Plants fields. We conclude that Dow Chemical and DuPont gain technology advantage through more technology similarity in five agrichemical fields; Bayer gain technology advantage through the effects of technology originality from Monsanto especially in the Genetic Engineering field.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"48 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":"133717179","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.2018.8607323
M. Riesener, C. Dölle, J. Ays, Julian L. Ays
In times of volatile markets and heterogeneous customer demands, it now seems inevitable for the manufacturing industry to deal with iterative development cycles in order to maintain process flexibility and to be able to react to unforeseen environmental changes. Since the implementation of agile methods is not purposive for every development process of a physical product, the usage of hybrid approaches, a development procedure resulting of the combination of agile and plan-driven methods, is emerging as an alternative. According to that, this paper presents a research framework that shows how hybrid development processes can enable the effective and efficient implementation of physical product development projects by ensuring a target-conform and context-based combination of agile and plan-driven approaches.
{"title":"Hybridization of Development Projects Through Process-related Combination of Agile and Plan-driven Approaches","authors":"M. Riesener, C. Dölle, J. Ays, Julian L. Ays","doi":"10.1109/IEEM.2018.8607323","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607323","url":null,"abstract":"In times of volatile markets and heterogeneous customer demands, it now seems inevitable for the manufacturing industry to deal with iterative development cycles in order to maintain process flexibility and to be able to react to unforeseen environmental changes. Since the implementation of agile methods is not purposive for every development process of a physical product, the usage of hybrid approaches, a development procedure resulting of the combination of agile and plan-driven methods, is emerging as an alternative. According to that, this paper presents a research framework that shows how hybrid development processes can enable the effective and efficient implementation of physical product development projects by ensuring a target-conform and context-based combination of agile and plan-driven approaches.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 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":"132940259","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.2018.8607592
Woo Jung Park, C. Kang, Sun Young Kim, Chan Gook Park
In this paper, asynchronous multi-sensor fusion with decentralized IMM-PDAF is designed. To improve the estimation performance for the maneuvering target in clutter, interacting multiple model (IMM) based probabilistic data association filter (PDAF) is utilized, and multiple sensors are assumed to be asynchronous to reflect the real multi-sensor application. To verify the tracking filter, simulations for tracking maneuvering target with asynchronous multi-sensor fusion are carried out. The simulation results show that the designed filter tracks target robustly, and fusing asynchronous multi-sensor reduces the estimation error.
{"title":"Asynchronous Multi-sensor Data Fusion with Decentralized IMM-PDAF","authors":"Woo Jung Park, C. Kang, Sun Young Kim, Chan Gook Park","doi":"10.1109/IEEM.2018.8607592","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607592","url":null,"abstract":"In this paper, asynchronous multi-sensor fusion with decentralized IMM-PDAF is designed. To improve the estimation performance for the maneuvering target in clutter, interacting multiple model (IMM) based probabilistic data association filter (PDAF) is utilized, and multiple sensors are assumed to be asynchronous to reflect the real multi-sensor application. To verify the tracking filter, simulations for tracking maneuvering target with asynchronous multi-sensor fusion are carried out. The simulation results show that the designed filter tracks target robustly, and fusing asynchronous multi-sensor reduces the estimation error.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"6 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":"133215732","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.2018.8607522
H. Jafari
This manuscript provides a general review of the contemporary literature on e-commerce logistics. The review is carried out systematically on the articles published in academic journals from 2015 up to 2018. A total of 77 manuscripts were reviewed and analyzed using this method regarding the journals, level of analysis, and scientific methods used. Moreover, coding of the findings of the papers was carried out to identify the research themes in contemporary e-commerce logistics literature. As a result, six themes were identified; namely, Distribution, Channel Design, Sustainability, Performance, Pricing, and Innovation. The results show a shift of scholarly focus over the past years.
{"title":"e-Commerce Logistics – Contemporary Literature","authors":"H. Jafari","doi":"10.1109/IEEM.2018.8607522","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607522","url":null,"abstract":"This manuscript provides a general review of the contemporary literature on e-commerce logistics. The review is carried out systematically on the articles published in academic journals from 2015 up to 2018. A total of 77 manuscripts were reviewed and analyzed using this method regarding the journals, level of analysis, and scientific methods used. Moreover, coding of the findings of the papers was carried out to identify the research themes in contemporary e-commerce logistics literature. As a result, six themes were identified; namely, Distribution, Channel Design, Sustainability, Performance, Pricing, and Innovation. The results show a shift of scholarly focus over the past years.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"184 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":"133617069","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.2018.8607589
Hansi Chen, Lei Zhang, Xuening Chu
Customer needs elicitation is critical to the improvement and development of products. Due to the lack of relevant knowledge, some needs are difficult to perceive or express for ordinary customers in the traditional survey- based techniques such as interviews, questionnaires, and online reviews. Recent advances in technologies for information gathering make it possible to monitor and collect the usage data continuously during the product usage stage. In this research, a new approach is developed to assess the performance requirements of smartphones based on analysis of the operating data collected through embedded sensors. In the proposed approach, customers of the same product are first classified into different segments based on their usage patterns. Then, a data-based performance assessment method is developed to assess the performance of the product for each user considering product modules. A case study is presented to demonstrate the effectiveness of the proposed approach.
{"title":"Performance Assessment of Product Modules Based on Usage Data Collected Through Embedded Sensors","authors":"Hansi Chen, Lei Zhang, Xuening Chu","doi":"10.1109/IEEM.2018.8607589","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607589","url":null,"abstract":"Customer needs elicitation is critical to the improvement and development of products. Due to the lack of relevant knowledge, some needs are difficult to perceive or express for ordinary customers in the traditional survey- based techniques such as interviews, questionnaires, and online reviews. Recent advances in technologies for information gathering make it possible to monitor and collect the usage data continuously during the product usage stage. In this research, a new approach is developed to assess the performance requirements of smartphones based on analysis of the operating data collected through embedded sensors. In the proposed approach, customers of the same product are first classified into different segments based on their usage patterns. Then, a data-based performance assessment method is developed to assess the performance of the product for each user considering product modules. A case study is presented to demonstrate the effectiveness of the proposed approach.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 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":"117099399","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.2018.8607413
Jiao Yuan, Runtong Zhang
Manufacturing enterprises in China always have a price advantage of raw material and labor force. Optimization methods are currently widely used in manufacturing system to improve the performance of their production lines and workshops. To maximum the optimization effects, simulation is increasingly applied to the optimization of manufacturing industry. Flexsim can be a useful tool to cope with this optimization made up of several highly discrete events. This article is based on the manufacturing system of company JKL’s cooler. First, this paper introduces and analyzes the company’s manufacturing condition including process flow and its problems in production. Second, the model will be simulated in order to find the weakness and constraints of this system. Third, we introduce a method to identify bottlenecks and offer a framework to solve bottleneck problems. Then, a model based on the statistics and processes is built. In the final section, the results are evaluated and analyzed.The simulation results show that quantity of the products and efficiency of the machines are evidently improved after optimization, which proves that the optimization is effective.
{"title":"Analysis and Optimization of Bottlenecks via Simulation","authors":"Jiao Yuan, Runtong Zhang","doi":"10.1109/IEEM.2018.8607413","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607413","url":null,"abstract":"Manufacturing enterprises in China always have a price advantage of raw material and labor force. Optimization methods are currently widely used in manufacturing system to improve the performance of their production lines and workshops. To maximum the optimization effects, simulation is increasingly applied to the optimization of manufacturing industry. Flexsim can be a useful tool to cope with this optimization made up of several highly discrete events. This article is based on the manufacturing system of company JKL’s cooler. First, this paper introduces and analyzes the company’s manufacturing condition including process flow and its problems in production. Second, the model will be simulated in order to find the weakness and constraints of this system. Third, we introduce a method to identify bottlenecks and offer a framework to solve bottleneck problems. Then, a model based on the statistics and processes is built. In the final section, the results are evaluated and analyzed.The simulation results show that quantity of the products and efficiency of the machines are evidently improved after optimization, which proves that the optimization is effective.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"164 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":"115393805","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.2018.8607682
F. P. Santhiapillai, R. Ratnayake
Product development (PD) involves highly multi-disciplinary tasks that need to be accomplished in project mode. PD projects mainly involve knowledge work; due to the inherent nature of knowledge work, it is a a challenging task to use formal Lean concepts and definitions in the PD context. This manuscript first identifies and defines waste related to knowledge work in the PD context in general. Then, it proposes a methodology for assessing the status of PD maturity in relation to Lean concepts. A case study was carried out in an Oil & Gas (O& G) organization providing engineering services [i.e. an engineering contractor (EC)] that involves PD activities. The knowledge work related critical waste categories were identified using the suggested methodology as presented.
{"title":"Identifying and Defining Knowledge-work Waste in Product Development: A Case Study on Lean Maturity Assessment","authors":"F. P. Santhiapillai, R. Ratnayake","doi":"10.1109/IEEM.2018.8607682","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607682","url":null,"abstract":"Product development (PD) involves highly multi-disciplinary tasks that need to be accomplished in project mode. PD projects mainly involve knowledge work; due to the inherent nature of knowledge work, it is a a challenging task to use formal Lean concepts and definitions in the PD context. This manuscript first identifies and defines waste related to knowledge work in the PD context in general. Then, it proposes a methodology for assessing the status of PD maturity in relation to Lean concepts. A case study was carried out in an Oil & Gas (O& G) organization providing engineering services [i.e. an engineering contractor (EC)] that involves PD activities. The knowledge work related critical waste categories were identified using the suggested methodology as presented.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"89 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":"116382282","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.2018.8607623
D. Valis, L. Zák, Z. Vintr
When determining a system technical condition, it is possible to use multiple approaches. For practical reasons it is convenient to use an indirect diagnostic signal. In our article we focus on applying oil field data collected from a few tens of heavy vehicle engines. The aim is to get a picture of how quickly oil polluting particles are made and consequently how quickly the degradation progresses. This leads to system condition monitoring. When modelling the occurrence of the oil polluting particles, advanced linear regression methods are used. When analysing the diagnostic data, we use mainly a novel quantile regression approach. The aim is to estimate i) the course of trend in the development of polluting particles, ii) critical threshold time hitting iii) distribution of first hitting time of occurrence of soft failure.
{"title":"System Condition Assessment Based on Mathematical Analysis","authors":"D. Valis, L. Zák, Z. Vintr","doi":"10.1109/IEEM.2018.8607623","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607623","url":null,"abstract":"When determining a system technical condition, it is possible to use multiple approaches. For practical reasons it is convenient to use an indirect diagnostic signal. In our article we focus on applying oil field data collected from a few tens of heavy vehicle engines. The aim is to get a picture of how quickly oil polluting particles are made and consequently how quickly the degradation progresses. This leads to system condition monitoring. When modelling the occurrence of the oil polluting particles, advanced linear regression methods are used. When analysing the diagnostic data, we use mainly a novel quantile regression approach. The aim is to estimate i) the course of trend in the development of polluting particles, ii) critical threshold time hitting iii) distribution of first hitting time of occurrence of soft failure.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"117 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":"116189456","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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