Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607724
K. Yeow, Matthias Becker
Pest population prognosis helps the growers in the greenhouse to keep the pest population below the threshold efficiently. INSIM is one of the recognized pest population simulators. However, the implementation of the INSIM simulation faces some difficulties to be executed as a web service. Thus, we propose a Java-based web application using the mathematical model used in INSIM. Additionally to the known model, our implementation is able to give prognosis boundaries based on uncertainty of the temperature development and pest count. The proposed JIS gives lower and upper estimation of the pest population with the mean accuracy of 66.67% against our experimental validation data. Furthermore, the relationship between the area coverage for each yellow sticky trap and its accuracy percentage is investigated.
{"title":"JIS: Pest Population Prognosis with Escalator Boxcar Train","authors":"K. Yeow, Matthias Becker","doi":"10.1109/IEEM.2018.8607724","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607724","url":null,"abstract":"Pest population prognosis helps the growers in the greenhouse to keep the pest population below the threshold efficiently. INSIM is one of the recognized pest population simulators. However, the implementation of the INSIM simulation faces some difficulties to be executed as a web service. Thus, we propose a Java-based web application using the mathematical model used in INSIM. Additionally to the known model, our implementation is able to give prognosis boundaries based on uncertainty of the temperature development and pest count. The proposed JIS gives lower and upper estimation of the pest population with the mean accuracy of 66.67% against our experimental validation data. Furthermore, the relationship between the area coverage for each yellow sticky trap and its accuracy percentage is investigated.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"49 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":"114688817","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.2018.8607385
Gitae Kim
In city logistics, some group of vehicles are usually assigned a certain fixed areas so that drivers get used to the route or the customer sites. Vehicles deliver materials regularly every time period at the same area. In other words, the customer demand can be placed in the similar area each time period. Thus, we may find the optimal route for the demand of two time periods instead of finding the optimal route for the single time period. This paper proposes a mathematical programming model for the vehicle routing problem for the parcel delivery in urban transportation with considering two time periods. Since the area of delivery is the same, the integration of demand of two time periods can reduce the total transportation costs.
{"title":"Optimal Vehicle Routing for Parcel Delivery with Considering Two Time Periods","authors":"Gitae Kim","doi":"10.1109/IEEM.2018.8607385","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607385","url":null,"abstract":"In city logistics, some group of vehicles are usually assigned a certain fixed areas so that drivers get used to the route or the customer sites. Vehicles deliver materials regularly every time period at the same area. In other words, the customer demand can be placed in the similar area each time period. Thus, we may find the optimal route for the demand of two time periods instead of finding the optimal route for the single time period. This paper proposes a mathematical programming model for the vehicle routing problem for the parcel delivery in urban transportation with considering two time periods. Since the area of delivery is the same, the integration of demand of two time periods can reduce the total transportation costs.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"9 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":"122032386","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.2018.8607612
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.2018.8607830
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.2018.8607472
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.2018.8607307
Fan Li, F. Vernadat, A. Siadat, Li Zheng
Regarding the changing global competitive environment in industry, companies are forced increasingly to respond to sophisticated and diverse customer demands with efficient decisions support. Therefore, it is necessary to develop a holistic, easy-to-use and efficient performance measurement and management methodology to support sound decision making in industrial project management. For this purpose, a benefit-cost-value-risk based methodology has been developed for comprehensive performance evaluation. Based on the methodology, a visualised approach has been proposed in this paper to further ease performance evaluation and decision support in industrial project monitoring and control.
{"title":"Visualised Decision Support in Industrial Project Monitoring and Control","authors":"Fan Li, F. Vernadat, A. Siadat, Li Zheng","doi":"10.1109/IEEM.2018.8607307","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607307","url":null,"abstract":"Regarding the changing global competitive environment in industry, companies are forced increasingly to respond to sophisticated and diverse customer demands with efficient decisions support. Therefore, it is necessary to develop a holistic, easy-to-use and efficient performance measurement and management methodology to support sound decision making in industrial project management. For this purpose, a benefit-cost-value-risk based methodology has been developed for comprehensive performance evaluation. Based on the methodology, a visualised approach has been proposed in this paper to further ease performance evaluation and decision support in industrial project monitoring and control.","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":"123313683","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.2018.8607565
K. Kolowrocki, J. Soszyńska-Budny, M. Torbicki
Modelling a climate-weather change process effect on the resilience/safety of a critical infrastructure (CI) is presented. The model of the CI resilience/safety affected by dependences between its assets and subsystems and by outside climate-weather hazards is created. CI resilience/safety indices are defined and a way of their determination for the considered model is proposed. Procedures are used to the resilience/safety indices determination of the piping affected by the climate-weather change.
{"title":"Critical Infrastructure Impacted by Climate Change Safety and Resilience Indicators","authors":"K. Kolowrocki, J. Soszyńska-Budny, M. Torbicki","doi":"10.1109/IEEM.2018.8607565","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607565","url":null,"abstract":"Modelling a climate-weather change process effect on the resilience/safety of a critical infrastructure (CI) is presented. The model of the CI resilience/safety affected by dependences between its assets and subsystems and by outside climate-weather hazards is created. CI resilience/safety indices are defined and a way of their determination for the considered model is proposed. Procedures are used to the resilience/safety indices determination of the piping affected by the climate-weather change.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"30 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":"122772904","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.2018.8607591
H. Pierreval
Most optimization approaches used for designing layouts of such systems as manufacturing systems or hospitals facilities use deterministic mathematical models to compute the transportation costs or other performance measures. As a consequence, the dynamic behavior of these systems (queuing phenomena, blocking, etc.) and the stochastic issues are neglected, so that the solution found may not be relevant. Simulation optimization has been identified as an efficient approach to address this type of problem. Unfortunately, it requires merging an optimization tool and a simulation engine, which can be difficult and can necessitate time consuming programming tasks (front end, synchronization, interface, model generation, etc We suggest an approach that allows several types of layout problems to be solved directly using popular simulation packages, avoiding such shortcomings. An example illustrates the proposed integrated and generic approach. Its benefits and limitations are discussed and research directions are suggested.
{"title":"Integrated Simulation Optimization for Layout Problems","authors":"H. Pierreval","doi":"10.1109/IEEM.2018.8607591","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607591","url":null,"abstract":"Most optimization approaches used for designing layouts of such systems as manufacturing systems or hospitals facilities use deterministic mathematical models to compute the transportation costs or other performance measures. As a consequence, the dynamic behavior of these systems (queuing phenomena, blocking, etc.) and the stochastic issues are neglected, so that the solution found may not be relevant. Simulation optimization has been identified as an efficient approach to address this type of problem. Unfortunately, it requires merging an optimization tool and a simulation engine, which can be difficult and can necessitate time consuming programming tasks (front end, synchronization, interface, model generation, etc We suggest an approach that allows several types of layout problems to be solved directly using popular simulation packages, avoiding such shortcomings. An example illustrates the proposed integrated and generic approach. Its benefits and limitations are discussed and research directions are suggested.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"4 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":"128616322","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：