Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607830
K. Kolowrocki, J. Soszyńska-Budny, M. Torbicki
Comprehensive modelling the operation and climate-weather change effect on the critical infrastructure (CI) safety is presented. The model of the CI safety affected by its outside dependences like climate-weather hazards and operating environment threats is created. Resilience/safety indicators for a CI are defined and a way how to evaluate them in the case of the introduced model is proposed. The procedures are used to the resilience/safety indices determination of the piping affected by the operation and climate-weather change.
{"title":"Critical Infrastructure Impacted by Operation and Climate Change Safety and Resilience Indicators","authors":"K. Kolowrocki, J. Soszyńska-Budny, M. Torbicki","doi":"10.1109/IEEM.2018.8607830","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607830","url":null,"abstract":"Comprehensive modelling the operation and climate-weather change effect on the critical infrastructure (CI) safety is presented. The model of the CI safety affected by its outside dependences like climate-weather hazards and operating environment threats is created. Resilience/safety indicators for a CI are defined and a way how to evaluate them in the case of the introduced model is proposed. The procedures are used to the resilience/safety indices determination of the piping affected by the operation and climate-weather change.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"102 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":"124622446","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.2018.8607414
P. Jiang, Xiao Liu, Jingjie Zhang, S. Te, K. Gin
Cyanobacterial blooms increasingly pose threats to ecosystems and human health. This paper is aimed to propose systematic risk pre-control schemes by understanding the complex causalities between cyanobacteria and multiple influencing variables. This research remains a challenge for three reasons. Firstly, the time-series evolution of cyanobacteria is characterized by deep uncertainties and nonlinear dynamics. Secondly, latent variables with hidden information usually exist in this kind of complex aquatic system. Thirdly, it is difficult to identify an efficient pre-control scheme that specifies variables for preferential regulation. To address these problems, we propose a latent variable structured Bayesian network model and a corresponding parameter learning algorithm. The model is tested by real-time spatio-temporal data. The computational results reveal that the proposed model demonstrates better performance in terms of inference accuracy and degree of system understanding. Based on sensitivity analysis and combination-effect analysis, a systematic risk pre-control scheme is proposed for decision-makers to prevent cyanobacterial blooms under the scenario of global warming.
{"title":"Latent Variable Structured Bayesian Network for Cyanobacterial Risk Pre-control","authors":"P. Jiang, Xiao Liu, Jingjie Zhang, S. Te, K. Gin","doi":"10.1109/IEEM.2018.8607414","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607414","url":null,"abstract":"Cyanobacterial blooms increasingly pose threats to ecosystems and human health. This paper is aimed to propose systematic risk pre-control schemes by understanding the complex causalities between cyanobacteria and multiple influencing variables. This research remains a challenge for three reasons. Firstly, the time-series evolution of cyanobacteria is characterized by deep uncertainties and nonlinear dynamics. Secondly, latent variables with hidden information usually exist in this kind of complex aquatic system. Thirdly, it is difficult to identify an efficient pre-control scheme that specifies variables for preferential regulation. To address these problems, we propose a latent variable structured Bayesian network model and a corresponding parameter learning algorithm. The model is tested by real-time spatio-temporal data. The computational results reveal that the proposed model demonstrates better performance in terms of inference accuracy and degree of system understanding. Based on sensitivity analysis and combination-effect analysis, a systematic risk pre-control scheme is proposed for decision-makers to prevent cyanobacterial blooms under the scenario of global warming.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"119 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":"124670165","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.2018.8607737
Ugyen Nima, Rinzin Wangdi, J. Hauge
Internet of Things provides an ability to interact with, share the data, and expand the capabilities of the physical world in terms of computation, communication, and key control with humans through many new modalities devices in the connected network. Though the availability of the information and performance are higher at lower cost, the usage of such system becomes more complex with the advancement of technologies. The traditional ways like lecture-based and role-playing learning has developed one-sided learning and also expensive for the low-income people to acquire such knowledge. On the other hand, serious gaming has helped the users in acquiring new experiences and complex knowledge which are acquired through solving presented challenges whereby the user applies competency to solve these problems. This paper proposes serious gaming as a learning environment for gaining competence, knowledge, and experiences in IoT and knowledge sharing for the users. Moreover, the design of a serious game, effectiveness of ATMSG framework and evaluation results are also discussed.
{"title":"A Serious Game for Competence Development in Internet of Things and Knowledge Sharing","authors":"Ugyen Nima, Rinzin Wangdi, J. Hauge","doi":"10.1109/IEEM.2018.8607737","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607737","url":null,"abstract":"Internet of Things provides an ability to interact with, share the data, and expand the capabilities of the physical world in terms of computation, communication, and key control with humans through many new modalities devices in the connected network. Though the availability of the information and performance are higher at lower cost, the usage of such system becomes more complex with the advancement of technologies. The traditional ways like lecture-based and role-playing learning has developed one-sided learning and also expensive for the low-income people to acquire such knowledge. On the other hand, serious gaming has helped the users in acquiring new experiences and complex knowledge which are acquired through solving presented challenges whereby the user applies competency to solve these problems. This paper proposes serious gaming as a learning environment for gaining competence, knowledge, and experiences in IoT and knowledge sharing for the users. Moreover, the design of a serious game, effectiveness of ATMSG framework and evaluation results are also discussed.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"272 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":"129925595","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.2018.8607563
Pablo J. G. Guerra, Daniel Alberto Sepúlveda Estay
Supply chains are dependent on Information Technology (IT) and cyberspace processes. Yet, despite the advantages of its increased connectivity and systems integration with suppliers and customers, this also opens the door to new risks from and to supply chain partners. Literature in this nascent research area is limited, with few frameworks available to complement traditional risk management methods. This paper shows the current results of a literature review on the field of supply chain cyber risk management (SCCRM), with the aim of gathering and structuring its extant literature and proposing a taxonomy that will give a better overview of the approaches found in the scientific literature. This taxonomy is then used to propose a novel SCCRM framework. Finally, a novel Impact-Wave analogy is presented to provide a graphical understanding of the application of this framework.
{"title":"An Impact-wave Analogy for Managing Cyber Risks in Supply Chains","authors":"Pablo J. G. Guerra, Daniel Alberto Sepúlveda Estay","doi":"10.1109/IEEM.2018.8607563","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607563","url":null,"abstract":"Supply chains are dependent on Information Technology (IT) and cyberspace processes. Yet, despite the advantages of its increased connectivity and systems integration with suppliers and customers, this also opens the door to new risks from and to supply chain partners. Literature in this nascent research area is limited, with few frameworks available to complement traditional risk management methods. This paper shows the current results of a literature review on the field of supply chain cyber risk management (SCCRM), with the aim of gathering and structuring its extant literature and proposing a taxonomy that will give a better overview of the approaches found in the scientific literature. This taxonomy is then used to propose a novel SCCRM framework. Finally, a novel Impact-Wave analogy is presented to provide a graphical understanding of the application of this framework.","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":"130167222","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}
Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607472
R. A. Palhares, M.C.B. de Araújo
In the logistics context, the physical distribution is the responsibility of delivery of the correct products, to the exact locations and in the ideal moment, so that the expectation of the level of service is met and the transportation costs are minimized. For this, it is essential that structured routing plans are employed. Thus, this article aims to establish an efficient routing configuration for the delivery of milk and fermented dairy beverages. To create a structured routing plan, it was adopted the Traveling Salesman Problem. Due to a large number of variables analyzed, the Nearest Neighbor Algorithm was applied. Following, clusters that encompass the points closest to each other were determined and transformed into daily routes. The new plan proposed results in a reduction of approximately 3,316.2 kilometers per month. In this way, the proposed route plan will entail logistics efficiency as well as the reduction of company costs.
{"title":"Vehicle Routing: Application of Travelling Salesman Problem in a Dairy","authors":"R. A. Palhares, M.C.B. de Araújo","doi":"10.1109/IEEM.2018.8607472","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607472","url":null,"abstract":"In the logistics context, the physical distribution is the responsibility of delivery of the correct products, to the exact locations and in the ideal moment, so that the expectation of the level of service is met and the transportation costs are minimized. For this, it is essential that structured routing plans are employed. Thus, this article aims to establish an efficient routing configuration for the delivery of milk and fermented dairy beverages. To create a structured routing plan, it was adopted the Traveling Salesman Problem. Due to a large number of variables analyzed, the Nearest Neighbor Algorithm was applied. Following, clusters that encompass the points closest to each other were determined and transformed into daily routes. The new plan proposed results in a reduction of approximately 3,316.2 kilometers per month. In this way, the proposed route plan will entail logistics efficiency as well as the reduction of company costs.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"50 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120899361","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.2018.8607612
Ming Foong Lee, S. H. M. Yusoff
This study aims to evaluate the effect of using interactive multimedia material towards students’ performance in logic gates of Electrical and Electronic subjects. The content delivery method in this interactive multimedia material was employed a constructivist theory approach, which is Needham Model. Meanwhile, ADDIE model was used as guideline during the material development process. Quasi-experimental that involved of four teachers and 56 students was employed as research design for this study. Questionnaire, pretest and posttest were used as research instrument. The data were analyzed using mean score, standard deviation, paired-sample t-test, and ANCOVA. Findings showed that the perception of the users towards the aspects of content, teaching strategy design, presentation design and technical of this interactive multimedia material were at the high level. Evaluation on the effectiveness of the interactive multimedia material from the aspect of students’ performance showed that there was an improvement in academic performance. As a conclusion, teachers were encouraged to use interactive multimedia material based on Needham Model to enhance student performance in digital logic gates as well as other topics in Electronic Engineering.
{"title":"Effect of Needham Model Based Interactive Multimedia Material Towards Students’ Achivement in Digital Logic Gates","authors":"Ming Foong Lee, S. H. M. Yusoff","doi":"10.1109/IEEM.2018.8607612","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607612","url":null,"abstract":"This study aims to evaluate the effect of using interactive multimedia material towards students’ performance in logic gates of Electrical and Electronic subjects. The content delivery method in this interactive multimedia material was employed a constructivist theory approach, which is Needham Model. Meanwhile, ADDIE model was used as guideline during the material development process. Quasi-experimental that involved of four teachers and 56 students was employed as research design for this study. Questionnaire, pretest and posttest were used as research instrument. The data were analyzed using mean score, standard deviation, paired-sample t-test, and ANCOVA. Findings showed that the perception of the users towards the aspects of content, teaching strategy design, presentation design and technical of this interactive multimedia material were at the high level. Evaluation on the effectiveness of the interactive multimedia material from the aspect of students’ performance showed that there was an improvement in academic performance. As a conclusion, teachers were encouraged to use interactive multimedia material based on Needham Model to enhance student performance in digital logic gates as well as other topics in Electronic Engineering.","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":"121370490","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.2018.8607335
Arian Dhini, Dita Anggraeni Kusumaningrum
Customer satisfaction plays an important factor for the business’ success, particularly in aviation industries. One way to measure customer satisfaction level is using customer reviews. This study evaluates and analyzes customer reviews of services and facilities of Soekarno-Hatta Airport as the largest airport in Indonesia using text mining approach of sentimental analysis. Support vector machine and Naïve Bayes classifier are classification techniques used to identify positive or negative sentiments contained in review sentence. The results of classification techniques for sentiment analysis in this study indicate that support vector machine has higher accuracy value than Naïve Bayes Classifier in analyzing sentiments. The output of this study is evaluation in improving the quality of airport services and facilities, identification of service aspect and airport facility which become the strength and weakness as well as improvement prioritization of aspects that still become weakness in achieving desired level of customer satisfaction.
{"title":"Sentiment Analysis of Airport Customer Reviews","authors":"Arian Dhini, Dita Anggraeni Kusumaningrum","doi":"10.1109/IEEM.2018.8607335","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607335","url":null,"abstract":"Customer satisfaction plays an important factor for the business’ success, particularly in aviation industries. One way to measure customer satisfaction level is using customer reviews. This study evaluates and analyzes customer reviews of services and facilities of Soekarno-Hatta Airport as the largest airport in Indonesia using text mining approach of sentimental analysis. Support vector machine and Naïve Bayes classifier are classification techniques used to identify positive or negative sentiments contained in review sentence. The results of classification techniques for sentiment analysis in this study indicate that support vector machine has higher accuracy value than Naïve Bayes Classifier in analyzing sentiments. The output of this study is evaluation in improving the quality of airport services and facilities, identification of service aspect and airport facility which become the strength and weakness as well as improvement prioritization of aspects that still become weakness in achieving desired level of customer satisfaction.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"12 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":"121185997","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.2018.8607376
Sayed Muhammad Fawad Sharif, Naiding Yang, Fouzia Kanwal, Sayed Kifayat Shah
Recently the informal and behavioral, structures of the organizations have received significant attention in the literature, as key variables, in reaching project success. In the current study, authors have examined the less studied constructs, project artifacts and team spirit, to achieve project success in project based organizations. Data were collected from the local and foreign practitioners working in project based organizations in china. The hypotheses were tested through SPSS 23 and AMOS 23. Researchers concluded that team spirit partially mediated the relationship of vision and project success; whereas, a complete mediation effect was observed between artifacts and project success.
{"title":"Reaching Project Success Through Vision and Artifact and the Mediating Role of Team Spirit","authors":"Sayed Muhammad Fawad Sharif, Naiding Yang, Fouzia Kanwal, Sayed Kifayat Shah","doi":"10.1109/IEEM.2018.8607376","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607376","url":null,"abstract":"Recently the informal and behavioral, structures of the organizations have received significant attention in the literature, as key variables, in reaching project success. In the current study, authors have examined the less studied constructs, project artifacts and team spirit, to achieve project success in project based organizations. Data were collected from the local and foreign practitioners working in project based organizations in china. The hypotheses were tested through SPSS 23 and AMOS 23. Researchers concluded that team spirit partially mediated the relationship of vision and project success; whereas, a complete mediation effect was observed between artifacts and project success.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"51 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":"127130210","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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