Harwi Valverde-Curi, Alexis De-La-Cruz-Angles, Mercedes Cano-Lazarte, José María Álvarez, Carlos Arturo Raymundo Ibañez
This article analyzes the low productivity level in an olive processing and preservation company. The factors that trigger the main problems are the lack of proper worker training, inadequate production capacity, and the disorder present in the company's areas. These factors were identified by using a tool called Theory of Constraints (TOC). After evaluating the problems, we found that all these factors generate a low productivity level and increase waste in the company's areas. Given this problem, we proposed a Lean Model for implementing the standardization of the following tools: 5S, Single-minute Digit exchange of die (SMED), and total productive maintenance (TPM), since they help improve the issue of production capacity and disorder reduction. The aim is to increase production capacity. A system simulation was performed to determine the resulting waste reduction in the production area, which explains approximately 29% of its variation in non-productive time.
{"title":"Lean Management Model for Waste Reduction in the Production Area of A Food Processing and Preservation SME","authors":"Harwi Valverde-Curi, Alexis De-La-Cruz-Angles, Mercedes Cano-Lazarte, José María Álvarez, Carlos Arturo Raymundo Ibañez","doi":"10.1145/3364335.3364378","DOIUrl":"https://doi.org/10.1145/3364335.3364378","url":null,"abstract":"This article analyzes the low productivity level in an olive processing and preservation company. The factors that trigger the main problems are the lack of proper worker training, inadequate production capacity, and the disorder present in the company's areas. These factors were identified by using a tool called Theory of Constraints (TOC). After evaluating the problems, we found that all these factors generate a low productivity level and increase waste in the company's areas. Given this problem, we proposed a Lean Model for implementing the standardization of the following tools: 5S, Single-minute Digit exchange of die (SMED), and total productive maintenance (TPM), since they help improve the issue of production capacity and disorder reduction. The aim is to increase production capacity. A system simulation was performed to determine the resulting waste reduction in the production area, which explains approximately 29% of its variation in non-productive time.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122517747","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}
Research on management innovation methods based on TRIZ (Inventive Problem Solving Theory) will significantly improve the ability of enterprise management conflict resolution in China. The TRIZ tool, namely 40 Innovation Principles has become the mostly common applied TRIZ method in enterprise management. However, this method faces the difficulty of screening suitable innovation principles at the operational level, which seriously hinders the normal application of the method. This study used the Delphi method to select the suitable innovation principles. This paper took the conflict resolution between the general management parameters "improving product and service quality vs. reducing cost" as an example to explore the impact of 40 Innovation Principles on the conflict resolution. The Delphi method applied multiple rounds of questionnaires in the expert group, and the recovery questionnaire was analyzed to obtain an proper selection of the principles.
{"title":"Screening of General Innovation Principles for Management Conflict Resolution","authors":"Min Wang, Dongsheng Zhang","doi":"10.1145/3364335.3364402","DOIUrl":"https://doi.org/10.1145/3364335.3364402","url":null,"abstract":"Research on management innovation methods based on TRIZ (Inventive Problem Solving Theory) will significantly improve the ability of enterprise management conflict resolution in China. The TRIZ tool, namely 40 Innovation Principles has become the mostly common applied TRIZ method in enterprise management. However, this method faces the difficulty of screening suitable innovation principles at the operational level, which seriously hinders the normal application of the method. This study used the Delphi method to select the suitable innovation principles. This paper took the conflict resolution between the general management parameters \"improving product and service quality vs. reducing cost\" as an example to explore the impact of 40 Innovation Principles on the conflict resolution. The Delphi method applied multiple rounds of questionnaires in the expert group, and the recovery questionnaire was analyzed to obtain an proper selection of the principles.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122043260","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}
Loyalty has been considered as one of the major objectives in strategic marketing due to the increasing competition and the recognition of the importance of loyal customer. There are few comprehensive, empirically tested, and structural models regarding to nature of place attachment's relationship with loyalty formation are demonstrated in the context of recreation industries in leisure and recreation research. The purposes of this study were to examine whether satisfaction intervenes in the relationship between service quality and destination loyalty (place identity, place dependence and behavioral intention), and investigate the contribution of service quality and satisfaction on the prediction of destination loyalty. The results indicated that service quality has indirectly and significantly influence on destination loyalty through satisfaction. Practical implications and future research are discussed.
{"title":"Enhancing the Destination Loyalty in Taiwan's Hot Spring Industry","authors":"Hsiao-Kuang Kao, Su-Nan Tsai, Jui-Hsiu Chang","doi":"10.1145/3364335.3364337","DOIUrl":"https://doi.org/10.1145/3364335.3364337","url":null,"abstract":"Loyalty has been considered as one of the major objectives in strategic marketing due to the increasing competition and the recognition of the importance of loyal customer. There are few comprehensive, empirically tested, and structural models regarding to nature of place attachment's relationship with loyalty formation are demonstrated in the context of recreation industries in leisure and recreation research. The purposes of this study were to examine whether satisfaction intervenes in the relationship between service quality and destination loyalty (place identity, place dependence and behavioral intention), and investigate the contribution of service quality and satisfaction on the prediction of destination loyalty. The results indicated that service quality has indirectly and significantly influence on destination loyalty through satisfaction. Practical implications and future research are discussed.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"195 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121558449","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}
Extreme weather events have been one of the biggest challenges in the mining sector. One alternative to mitigate these risks is to improve the prediction of extreme weather events occur. One of the common extreme weather events faced by the mining sector is extreme rainfall. Continuous extreme rainfall can give rise to flooding events, which might disrupt the supply chain and operation of the mining sector. Previously, extreme rainfall prediction is conducted by employing the traditional statistical methods such as linear regression or autoregressive integrated moving average (ARIMA). Those methods result in good accuracy; however, they do not cover some of the assumptions of the data. Along with the development of information technology, advanced method, namely machine learning, is conducted. Thus, this study employed machine learning to predict the rainfall duration in open-pit mining. The predictive models constructed are a feed-forward neural network and an ARIMA model. This study also compared the performance of the neural network model and the ARIMA model by measuring its root mean square (RMSE). Based on the result, the neural network model outperforms the ARIMA model.
{"title":"Rain Forecasting for Production Capacity Planning at Open Pit Mining","authors":"Komarudin, David","doi":"10.1145/3364335.3364396","DOIUrl":"https://doi.org/10.1145/3364335.3364396","url":null,"abstract":"Extreme weather events have been one of the biggest challenges in the mining sector. One alternative to mitigate these risks is to improve the prediction of extreme weather events occur. One of the common extreme weather events faced by the mining sector is extreme rainfall. Continuous extreme rainfall can give rise to flooding events, which might disrupt the supply chain and operation of the mining sector. Previously, extreme rainfall prediction is conducted by employing the traditional statistical methods such as linear regression or autoregressive integrated moving average (ARIMA). Those methods result in good accuracy; however, they do not cover some of the assumptions of the data. Along with the development of information technology, advanced method, namely machine learning, is conducted. Thus, this study employed machine learning to predict the rainfall duration in open-pit mining. The predictive models constructed are a feed-forward neural network and an ARIMA model. This study also compared the performance of the neural network model and the ARIMA model by measuring its root mean square (RMSE). Based on the result, the neural network model outperforms the ARIMA model.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070107","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}
Hamizan Sharbini, Nur Aisyah binti Masrizal, Po-Chan Chiu, W. Cheah, A. A. Julaihi, Ping-Ping Tan, Noor Alamshah Bolhassan
This paper will discuss about general crowd behaviour modeling during evacuation in emergency situation such as during fire breakout. Several existing simulation tools and comparison among each tool will also be discussed. The aim of this project is to develop a generic crowd model, which has the ability to demonstrate individual crowd behaviours (micro level) especially in fire emergency situation with one or more exits. The program will be able to estimate the evacuation time of panic situation during fire breakout. Apart from that, this paper also will analyze and prove that the individual agent in the simulation is able to detect and avoid collision. During panic situation, agents need to search for the exit in order to save themselves from danger. The proposed crowd simulation used agent in 2D as to simulate the crowd behaviour model while steering towards the exit.
{"title":"The Analysis of 2D Crowd Behaviour Simulation during Emergency Situation","authors":"Hamizan Sharbini, Nur Aisyah binti Masrizal, Po-Chan Chiu, W. Cheah, A. A. Julaihi, Ping-Ping Tan, Noor Alamshah Bolhassan","doi":"10.1145/3364335.3365586","DOIUrl":"https://doi.org/10.1145/3364335.3365586","url":null,"abstract":"This paper will discuss about general crowd behaviour modeling during evacuation in emergency situation such as during fire breakout. Several existing simulation tools and comparison among each tool will also be discussed. The aim of this project is to develop a generic crowd model, which has the ability to demonstrate individual crowd behaviours (micro level) especially in fire emergency situation with one or more exits. The program will be able to estimate the evacuation time of panic situation during fire breakout. Apart from that, this paper also will analyze and prove that the individual agent in the simulation is able to detect and avoid collision. During panic situation, agents need to search for the exit in order to save themselves from danger. The proposed crowd simulation used agent in 2D as to simulate the crowd behaviour model while steering towards the exit.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129405606","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}
Transportation activity is one of the main contributors to the overall logistics costs of a company. One of the ways to minimize the cost that comes from this activity is through the optimization of the distribution route. However, with the growth of delivery points, the possible routes combinations are growing in a nonlinear fashion, increasing the complexity to obtain the optimal combination of the distribution routes. In this paper, we present a simple modified clarke-wright algorithm with the implementation of heuristic pruning to deal with time and space complexity in a case of very large scale capacitated vehicle routing problem. The resulting algorithm can solve a very large routing problem with several thousand customers within a minute and produce relatively good solutions compared to the state-of-the-art algorithm, especially for the problem with a depot located at the center. Furthermore, the algorithm is also tested to solve a very large scale problem of FMCG company in Indonesia with 32,223 delivery points.
{"title":"Optimization of Very Large Scale Capacitated Vehicle Routing Problems","authors":"Komarudin, A. Chandra","doi":"10.1145/3364335.3364389","DOIUrl":"https://doi.org/10.1145/3364335.3364389","url":null,"abstract":"Transportation activity is one of the main contributors to the overall logistics costs of a company. One of the ways to minimize the cost that comes from this activity is through the optimization of the distribution route. However, with the growth of delivery points, the possible routes combinations are growing in a nonlinear fashion, increasing the complexity to obtain the optimal combination of the distribution routes. In this paper, we present a simple modified clarke-wright algorithm with the implementation of heuristic pruning to deal with time and space complexity in a case of very large scale capacitated vehicle routing problem. The resulting algorithm can solve a very large routing problem with several thousand customers within a minute and produce relatively good solutions compared to the state-of-the-art algorithm, especially for the problem with a depot located at the center. Furthermore, the algorithm is also tested to solve a very large scale problem of FMCG company in Indonesia with 32,223 delivery points.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649374","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}
Daniella Cruces-Flores, Gustavo Valdivia-Capellino, Cesar Ramirez-Valdivia, José María Álvarez, Carlos Arturo Raymundo Ibañez
This article describes how using logistics management models in collaboration with a process traceability system improves storage management processes in the coffee supply chain by reducing losses and high storage-related logistics costs, with support from a digital transformation process. For the purposes of this study, data on times and costs incurred as per the corresponding criteria and purchasing power, errors in order specifications, and delivery delays that result in losses were used, as these cause coffee to lose market value within an organization in a cooperative setting (business associations).
{"title":"A Cooperative Logistics Management Model Based on Traceability for Reducing the Logistics Costs of Coffee Storage in Peru's Agro-Export Sector","authors":"Daniella Cruces-Flores, Gustavo Valdivia-Capellino, Cesar Ramirez-Valdivia, José María Álvarez, Carlos Arturo Raymundo Ibañez","doi":"10.1145/3364335.3364380","DOIUrl":"https://doi.org/10.1145/3364335.3364380","url":null,"abstract":"This article describes how using logistics management models in collaboration with a process traceability system improves storage management processes in the coffee supply chain by reducing losses and high storage-related logistics costs, with support from a digital transformation process. For the purposes of this study, data on times and costs incurred as per the corresponding criteria and purchasing power, errors in order specifications, and delivery delays that result in losses were used, as these cause coffee to lose market value within an organization in a cooperative setting (business associations).","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204404","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}
One of the biggest financial loss due to workplace accidents at coal mining companies is caused by dump truck drivers' sleepiness during hauling activities, resulting in loss of steering control. Drowsiness is an indicator of occupational fatigue as a body reaction to prevent another serious illness. An efficient fatigue management policy is needed to reduce the number of coal mining workplace accidents. Health and safety department should assess the driver's physical condition is fit to work before hauling activity is started as a preventive program. This study was analyzing the physical factors that significantly influence the dump truck drivers occupational fatigue. A mathematical model to assess the probability of whether dump truck drivers are suspected of having occupational fatigue or not is the result of this study. This study used logistic regression statistical method to give an accurate occupational fatigue calculation which can be implemented in Indonesia coal mining companies.
{"title":"Developing a Dump Truck Drivers Occupational Fatigue Assessment Model as Hauling Workplace Accidents Prevention: Study Case at Indonesia's Coal Mining Company","authors":"A. Adyatama, Danu Hadi Syaifullah, B. N. Moch","doi":"10.1145/3364335.3364361","DOIUrl":"https://doi.org/10.1145/3364335.3364361","url":null,"abstract":"One of the biggest financial loss due to workplace accidents at coal mining companies is caused by dump truck drivers' sleepiness during hauling activities, resulting in loss of steering control. Drowsiness is an indicator of occupational fatigue as a body reaction to prevent another serious illness. An efficient fatigue management policy is needed to reduce the number of coal mining workplace accidents. Health and safety department should assess the driver's physical condition is fit to work before hauling activity is started as a preventive program. This study was analyzing the physical factors that significantly influence the dump truck drivers occupational fatigue. A mathematical model to assess the probability of whether dump truck drivers are suspected of having occupational fatigue or not is the result of this study. This study used logistic regression statistical method to give an accurate occupational fatigue calculation which can be implemented in Indonesia coal mining companies.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818927","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}
Carlos Chaman-Cortez, Adrian Palomino-Encarnación, Maribel Perez-Paredes, José María Álvarez, Carlos Arturo Raymundo Ibañez
This paper aims to introduce a model that focuses on companies in the agribusiness industry, specifically blueberry producers, so that blueberries with exporting potential, which are profitable products, can predominate. This model encompasses two essential areas: human resources, a key factor in this sector, and the production itself. To this end, several management tools are implemented to address issues related to change resistance and poor activity planning, in addition to technological contribution based on drones, which will allow for a greater assessment of the daily behavior in the cultivated areas and the identification of anomalies in real time. This way, collaborators can promptly react and correct them. All these related tools will help achieve the general objective and encourage the growth of these companies, which majorly contribute to the Peruvian economy.
{"title":"Precision Farming Model to Increase the Production of Exportable Blueberries by Implementing an Adapting-to-Change Approach and Risk Assessment in Agribusinesses in Peru's Coastal Regions","authors":"Carlos Chaman-Cortez, Adrian Palomino-Encarnación, Maribel Perez-Paredes, José María Álvarez, Carlos Arturo Raymundo Ibañez","doi":"10.1145/3364335.3364377","DOIUrl":"https://doi.org/10.1145/3364335.3364377","url":null,"abstract":"This paper aims to introduce a model that focuses on companies in the agribusiness industry, specifically blueberry producers, so that blueberries with exporting potential, which are profitable products, can predominate. This model encompasses two essential areas: human resources, a key factor in this sector, and the production itself. To this end, several management tools are implemented to address issues related to change resistance and poor activity planning, in addition to technological contribution based on drones, which will allow for a greater assessment of the daily behavior in the cultivated areas and the identification of anomalies in real time. This way, collaborators can promptly react and correct them. All these related tools will help achieve the general objective and encourage the growth of these companies, which majorly contribute to the Peruvian economy.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885443","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 objectives of this paper are to 1) explore the levels of satisfaction of shippers on service quality of international freight forwarders based on SERVQUAL model with an additional cost dimension, and 2) investigate the relationship between shipper perception on service quality of international freight forwarders and the shippers' company performance. 237 valid questionnaires were collected from managers of exporting companies in the furniture business. Descriptive statistics, t-test, importance-performance analysis, and multiple regressions were applied to analyze data. It was found that service cost had highest mean scores in both perception and expectation, while tangible had lowest mean values in both perception and expectation. There were significant differences between perceptions and expectations on every service quality dimension. Most dissatisfied service dimensions were service cost, reliability, responsiveness, empathy, assurance, and tangible, respectively. Responsiveness had significant positive impact on shipper performance, while tangible had significant negative effect on shipper performance.
{"title":"An Analysis of Logistics Service Quality and Performance","authors":"Nonglak Limsomkiat, Assadej Vanichchinchai","doi":"10.1145/3364335.3364353","DOIUrl":"https://doi.org/10.1145/3364335.3364353","url":null,"abstract":"The objectives of this paper are to 1) explore the levels of satisfaction of shippers on service quality of international freight forwarders based on SERVQUAL model with an additional cost dimension, and 2) investigate the relationship between shipper perception on service quality of international freight forwarders and the shippers' company performance. 237 valid questionnaires were collected from managers of exporting companies in the furniture business. Descriptive statistics, t-test, importance-performance analysis, and multiple regressions were applied to analyze data. It was found that service cost had highest mean scores in both perception and expectation, while tangible had lowest mean values in both perception and expectation. There were significant differences between perceptions and expectations on every service quality dimension. Most dissatisfied service dimensions were service cost, reliability, responsiveness, empathy, assurance, and tangible, respectively. Responsiveness had significant positive impact on shipper performance, while tangible had significant negative effect on shipper performance.","PeriodicalId":403515,"journal":{"name":"Proceedings of the 5th International Conference on Industrial and Business Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878002","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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