Pub Date : 2013-12-01DOI: 10.1109/IEEM.2013.6962610
C. Temiyasathit, N. Jangsetthagul
Statistical analysis of inventory data has been widely used to investigate the behavior of demand, the order execution and the delivery data in business industry. The analysis benefits the supplier in many ways. This study focuses on statistical analysis of spare part management of Water Purifier's electronic modules. The challenge of this demand prediction is that the electronic modules have random failure as well as an uncertain delivery lead time and delivery quantity. Without implementing the ERP system, the spare part ordering policy is an intuitive-based order. The present study investigates the suitable forecasting method for electronic module in after-Sales service department in Thailand. A study of probability distribution is incorporate in order to define sample probability distribution of uncertain delivery lead time and quantity. The new ordering policy based on a defined probability distribution is proposed to facilitate the elimination of intuitive-based ordering system, minimize the stock level, and improve the inventory management and control strategy. The results with real inventory data showed that our proposed policy achieved satisfactory stock level as well as significantly reduce inventory cost while maintain a high customer service level.
{"title":"Improving the efficiency of ordering policy: An application in a class-A spare part","authors":"C. Temiyasathit, N. Jangsetthagul","doi":"10.1109/IEEM.2013.6962610","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962610","url":null,"abstract":"Statistical analysis of inventory data has been widely used to investigate the behavior of demand, the order execution and the delivery data in business industry. The analysis benefits the supplier in many ways. This study focuses on statistical analysis of spare part management of Water Purifier's electronic modules. The challenge of this demand prediction is that the electronic modules have random failure as well as an uncertain delivery lead time and delivery quantity. Without implementing the ERP system, the spare part ordering policy is an intuitive-based order. The present study investigates the suitable forecasting method for electronic module in after-Sales service department in Thailand. A study of probability distribution is incorporate in order to define sample probability distribution of uncertain delivery lead time and quantity. The new ordering policy based on a defined probability distribution is proposed to facilitate the elimination of intuitive-based ordering system, minimize the stock level, and improve the inventory management and control strategy. The results with real inventory data showed that our proposed policy achieved satisfactory stock level as well as significantly reduce inventory cost while maintain a high customer service level.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"1243-1247"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78476185","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962550
S. K. Chaharsooghi, H. Yadegari
One of the most important challenges in inventory control of an efficient supply chain is to minimize logistics costs for each member of the chain. This challenge is even more important when facing non-deterministic demands. In this paper, a divergent two-echelon inventory model is developed to minimize logistics costs (ordering, holding and shortage costs) both for a warehouse and retailers when facing a Poisson stochastic demand. First, a mathematical model is developed which consists of one warehouse and multiple retailers with ordering, holding and shortage costs. The warehouse, similar to the retailers, has both backorder and lost-sales shortage costs simultaneously. This simultaneous combination of backorder and lost-sales shortage costs for both the warehouse and the retailers is the main contribution of this paper towards the research field of divergent two-echelon inventory models. The mathematical model is analytically solved and then validated through simulation. Finally, validity of the model is evaluated by comparing the mathematical and simulation results which indicate the contribution of "percent of warehouse demand with lost sales" and "percent of each retailers' demand with lost sales" parameters affect the total costs of the system.
{"title":"Developing a two-echelon inventory model with simultaneous consideration of backorders and lost sales","authors":"S. K. Chaharsooghi, H. Yadegari","doi":"10.1109/IEEM.2013.6962550","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962550","url":null,"abstract":"One of the most important challenges in inventory control of an efficient supply chain is to minimize logistics costs for each member of the chain. This challenge is even more important when facing non-deterministic demands. In this paper, a divergent two-echelon inventory model is developed to minimize logistics costs (ordering, holding and shortage costs) both for a warehouse and retailers when facing a Poisson stochastic demand. First, a mathematical model is developed which consists of one warehouse and multiple retailers with ordering, holding and shortage costs. The warehouse, similar to the retailers, has both backorder and lost-sales shortage costs simultaneously. This simultaneous combination of backorder and lost-sales shortage costs for both the warehouse and the retailers is the main contribution of this paper towards the research field of divergent two-echelon inventory models. The mathematical model is analytically solved and then validated through simulation. Finally, validity of the model is evaluated by comparing the mathematical and simulation results which indicate the contribution of \"percent of warehouse demand with lost sales\" and \"percent of each retailers' demand with lost sales\" parameters affect the total costs of the system.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"37 1","pages":"940-947"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77962077","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962623
X. Zhang, Ke Wang, H. Wang, Z. Xie
The design and development of aerospace product is a collaborative multi-discipline project. The integrated and consistent information modeling of all the information, models, documents and other product data generated during design and development is critical to success. An integrated information model, defined as EDPS (Engineering Digital Prototyping for Satellite) is proposed. Aiming at modeling product information in system design, multi-discipline analysis and simulation, process planning, and prototype testing, be compatible with different data and file format, providing a consistent product semantics information model, EDPS is defined and represented based on ontology to promote collaboration in product development. The composition and representation method of EDPS is proposed. The satellite design process driven by EDPS is discussed as a case study.
{"title":"Integrated information modeling of engineering digital prototyping for satellite design","authors":"X. Zhang, Ke Wang, H. Wang, Z. Xie","doi":"10.1109/IEEM.2013.6962623","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962623","url":null,"abstract":"The design and development of aerospace product is a collaborative multi-discipline project. The integrated and consistent information modeling of all the information, models, documents and other product data generated during design and development is critical to success. An integrated information model, defined as EDPS (Engineering Digital Prototyping for Satellite) is proposed. Aiming at modeling product information in system design, multi-discipline analysis and simulation, process planning, and prototype testing, be compatible with different data and file format, providing a consistent product semantics information model, EDPS is defined and represented based on ontology to promote collaboration in product development. The composition and representation method of EDPS is proposed. The satellite design process driven by EDPS is discussed as a case study.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"44 1","pages":"1314-1318"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76643175","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962518
Shih-Miao Huang
This study was to explore the affective qualities which influence subjects' aesthetic preferences. Forty-six subjects assessed sixteen skins on an aesthetic preference scale and eleven affective meaning scales. The aesthetic preference was regarded as a dependent variable; the eleven affective meanings were independent variables. The Stepwise Regression Analysis was performed. The result showed that six affective meanings: “exquisite”, “original”, “strong”, “childlike”, “intense” and “pure” entered the model. Besides, “exquisite”, was the most important affective quality in judgment of aesthetic preferences. It implied that designers had to create the interactive interfaces with an “exquisite” affective quality to please users' aesthetic affects. Furthermore, the other five affective meanings which were not selected into the model were called LoSPA affective meanings. It indicated that subjects had different aesthetic preference levels for skins evoking the affective meaning in LoSPA. It implied that a specific user group would prefer the skins evoking the affective meaning.
{"title":"A study of affective meanings predicting aesthetic preferences of interactive skins","authors":"Shih-Miao Huang","doi":"10.1109/IEEM.2013.6962518","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962518","url":null,"abstract":"This study was to explore the affective qualities which influence subjects' aesthetic preferences. Forty-six subjects assessed sixteen skins on an aesthetic preference scale and eleven affective meaning scales. The aesthetic preference was regarded as a dependent variable; the eleven affective meanings were independent variables. The Stepwise Regression Analysis was performed. The result showed that six affective meanings: “exquisite”, “original”, “strong”, “childlike”, “intense” and “pure” entered the model. Besides, “exquisite”, was the most important affective quality in judgment of aesthetic preferences. It implied that designers had to create the interactive interfaces with an “exquisite” affective quality to please users' aesthetic affects. Furthermore, the other five affective meanings which were not selected into the model were called LoSPA affective meanings. It indicated that subjects had different aesthetic preference levels for skins evoking the affective meaning in LoSPA. It implied that a specific user group would prefer the skins evoking the affective meaning.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"18 1","pages":"781-785"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82255031","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962634
P. Pitiot, M. Aldanondo, É. Vareilles, T. Coudert, L. Zhang
This communication deals with mass customization and the association of the product configuration task with the planning of its production process while trying to optimize cost and cycle time. In some previous works, we have proposed an optimization algorithm, called CFB-EA. This communication concerns a way to improve CFB-EA for large problems. Previous experiments have highlighted that CFB-EA is able to find quickly a good approximation of the Pareto Front. This led us to propose to decompose the optimization in two tasks. First, a “rough” approximation of the Pareto Front is quickly searched and proposed to the user. Then the user indicates the area of the Pareto Front that he is interested in. The problem is filtered and the solution space reduced. A second optimization is launched on the focused area. Our goal is to compare the classical single task optimization with the two tasks proposed approach.
{"title":"Optimizing concurrent configuration and planning: A proposition to reduce computation time","authors":"P. Pitiot, M. Aldanondo, É. Vareilles, T. Coudert, L. Zhang","doi":"10.1109/IEEM.2013.6962634","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962634","url":null,"abstract":"This communication deals with mass customization and the association of the product configuration task with the planning of its production process while trying to optimize cost and cycle time. In some previous works, we have proposed an optimization algorithm, called CFB-EA. This communication concerns a way to improve CFB-EA for large problems. Previous experiments have highlighted that CFB-EA is able to find quickly a good approximation of the Pareto Front. This led us to propose to decompose the optimization in two tasks. First, a “rough” approximation of the Pareto Front is quickly searched and proposed to the user. Then the user indicates the area of the Pareto Front that he is interested in. The problem is filtered and the solution space reduced. A second optimization is launched on the focused area. Our goal is to compare the classical single task optimization with the two tasks proposed approach.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"9 1","pages":"1367-1371"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87882249","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962504
D. C. Wimalachandra, B. Frank, T. Enkawa
The present article addresses how different types of B2B customer involvement motives and B2C customer involvement motives affect different dimensions of new product development (NPD) operational performance in the B2B context. This study also explores the moderating effects of high vs. low product technology on the relationships between different types of customer involvement motives and different dimensions of NPD operational performance. Based on data collected from the textile and apparel industry in 10 countries, the current study illustrates that B2C customer involvement has a greater impact than B2B customer involvement on time-to-market. Nevertheless, B2B customer involvement plays an important role as it contributes more to quality than does B2C customer involvement. In addition, the study explains the different strategies that should be adopted in B2B and B2C customer involvement when high vs. low product technology is present.
{"title":"Enhancing NPD operational performance through B2B and B2C customer involvement for varying degrees of product technology","authors":"D. C. Wimalachandra, B. Frank, T. Enkawa","doi":"10.1109/IEEM.2013.6962504","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962504","url":null,"abstract":"The present article addresses how different types of B2B customer involvement motives and B2C customer involvement motives affect different dimensions of new product development (NPD) operational performance in the B2B context. This study also explores the moderating effects of high vs. low product technology on the relationships between different types of customer involvement motives and different dimensions of NPD operational performance. Based on data collected from the textile and apparel industry in 10 countries, the current study illustrates that B2C customer involvement has a greater impact than B2B customer involvement on time-to-market. Nevertheless, B2B customer involvement plays an important role as it contributes more to quality than does B2C customer involvement. In addition, the study explains the different strategies that should be adopted in B2B and B2C customer involvement when high vs. low product technology is present.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"70 1","pages":"714-718"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86855093","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962493
N. Somsuk, P. Pongpanich, S. Teekasap
This paper aims to identify a common set of drivers of green supply chain management (GSCM) which affects sustainable competitive advantages of firms in supply chains, with respect to the specific internal and relational resources of the firm, and to classify these drivers into consensus categories. In this paper, drivers were identified based on a literature review through the lens of two strategic management theories of competitive advantage: resource-based and relational views. After the literature review, three categories of resource-based drivers were identified. The Q-sort method was then applied to classifying these drivers into categories according to the experts' opinions for the purpose of evoking group consensus on the classifications. The results of this study will be used to develop a theoretical framework and a hierarchical decision making model for the prioritization of these drivers in further research.
{"title":"Determining and classifying drivers of sustainable competitive advantages in green supply chain management: Resource-based and relational views","authors":"N. Somsuk, P. Pongpanich, S. Teekasap","doi":"10.1109/IEEM.2013.6962493","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962493","url":null,"abstract":"This paper aims to identify a common set of drivers of green supply chain management (GSCM) which affects sustainable competitive advantages of firms in supply chains, with respect to the specific internal and relational resources of the firm, and to classify these drivers into consensus categories. In this paper, drivers were identified based on a literature review through the lens of two strategic management theories of competitive advantage: resource-based and relational views. After the literature review, three categories of resource-based drivers were identified. The Q-sort method was then applied to classifying these drivers into categories according to the experts' opinions for the purpose of evoking group consensus on the classifications. The results of this study will be used to develop a theoretical framework and a hierarchical decision making model for the prioritization of these drivers in further research.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"655-660"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88114984","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962526
K. Bhattacharjee, R. Shankar, M. Gupta
In this paper the status of knowledge transfer at an premier Indian Institute of Higher Learning in Technology (IHLT) have been portrayed. Smooth knowledge transfer helps in better understanding of the subject and it helps in achieving administrative and academic efficiency. An questionnaire-based survey has been done where responses of 922 UG students have been analyzed to ascertain the extent to which knowledge transfer is successful in IHLT.
{"title":"Knowledge transfer practices at Indian premier Institute of Higher Learning in Technology","authors":"K. Bhattacharjee, R. Shankar, M. Gupta","doi":"10.1109/IEEM.2013.6962526","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962526","url":null,"abstract":"In this paper the status of knowledge transfer at an premier Indian Institute of Higher Learning in Technology (IHLT) have been portrayed. Smooth knowledge transfer helps in better understanding of the subject and it helps in achieving administrative and academic efficiency. An questionnaire-based survey has been done where responses of 922 UG students have been analyzed to ascertain the extent to which knowledge transfer is successful in IHLT.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"85 1","pages":"823-827"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88233058","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962567
Birajashis Pattnaik, S. Tripathy
Process capability indices are useful tools, which provide common quantitative measures on manufacturing capability and production quality. The existing Multivariate Process Capability indices, Cpm, MCpm,[CpM, PV, LI], MCf & (sTpk} are proposed by different authors for different conditions and situations[1,2,3,4,5]. Many of the above multivariate process capability indices are based on the ratios of two areas or volumes for bivariate or in multivariate domain respectively. All above proposed indices assume the process to be normal and there by the indices are expressed in the form of ratios of areas of two ellipses or volume of two ellipsoids. When the process does not follow normal distribution the estimation of the index is difficult as the shape of the data distribution will be not known. The proposed MCsvdd index uses computational geometry and find out the convex hull of the process data to find the volume. Support Vector Data description helps to find the outliers.
{"title":"A computational geometric approach for a novel multivariate process capability index","authors":"Birajashis Pattnaik, S. Tripathy","doi":"10.1109/IEEM.2013.6962567","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962567","url":null,"abstract":"Process capability indices are useful tools, which provide common quantitative measures on manufacturing capability and production quality. The existing Multivariate Process Capability indices, Cpm, MCpm,[CpM, PV, LI], MCf & (sTpk} are proposed by different authors for different conditions and situations[1,2,3,4,5]. Many of the above multivariate process capability indices are based on the ratios of two areas or volumes for bivariate or in multivariate domain respectively. All above proposed indices assume the process to be normal and there by the indices are expressed in the form of ratios of areas of two ellipses or volume of two ellipsoids. When the process does not follow normal distribution the estimation of the index is difficult as the shape of the data distribution will be not known. The proposed MCsvdd index uses computational geometry and find out the convex hull of the process data to find the volume. Support Vector Data description helps to find the outliers.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"37 1","pages":"1031-1035"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88303138","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 : 2013-12-01DOI: 10.1109/IEEM.2013.6962399
Moussa Bagayoko, T. Dao, B. ATEME-NGUEMA
Forest vehicle routing is an important step in optimization of forest transportation system to minimize the total cost. To perform this work, we propose a mathematical model and use a reactive tabu search metaheuristic approach. The objective is to minimize the total cost by respecting the time window of all customers which is sometimes important in this field. Finally, the experimental results obtained with the reactive tabu search metaheuristic approach of the named vehicle routing problem is showed, and compared to its extended great deluge results.
{"title":"Optimization of forest vehicle routing using reactive tabu search metaheuristic","authors":"Moussa Bagayoko, T. Dao, B. ATEME-NGUEMA","doi":"10.1109/IEEM.2013.6962399","DOIUrl":"https://doi.org/10.1109/IEEM.2013.6962399","url":null,"abstract":"Forest vehicle routing is an important step in optimization of forest transportation system to minimize the total cost. To perform this work, we propose a mathematical model and use a reactive tabu search metaheuristic approach. The objective is to minimize the total cost by respecting the time window of all customers which is sometimes important in this field. Finally, the experimental results obtained with the reactive tabu search metaheuristic approach of the named vehicle routing problem is showed, and compared to its extended great deluge results.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"33 1","pages":"181-185"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82632015","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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