Neng Jin, Xiangning Lin, Zhengtian Li, Zirui Rong, Peifu Zhang
Wide area differential protection (WADP) is verified to have many advantages over local protection. However, it is rarely applied in the field due to its high requirement to the communication network bandwidth. To deal with this problem, on the basis of the service oriented architecture of the internet cloud computing model, a novel station-wide area information interaction intelligent system is proposed. Within the system, the station-area intelligent unit with signal processing ability is taken as terminal and initiates request, while the wide area protection layer is taken as cloud platform and provides fast response service for WADP. The simulation results verify that the proposed intelligent system has high adaptability to the low-quality communication networks with limited bandwidth.
{"title":"A Novel Station-Wide Area Information Interaction Intelligent System","authors":"Neng Jin, Xiangning Lin, Zhengtian Li, Zirui Rong, Peifu Zhang","doi":"10.1145/3463858.3463875","DOIUrl":"https://doi.org/10.1145/3463858.3463875","url":null,"abstract":"Wide area differential protection (WADP) is verified to have many advantages over local protection. However, it is rarely applied in the field due to its high requirement to the communication network bandwidth. To deal with this problem, on the basis of the service oriented architecture of the internet cloud computing model, a novel station-wide area information interaction intelligent system is proposed. Within the system, the station-area intelligent unit with signal processing ability is taken as terminal and initiates request, while the wide area protection layer is taken as cloud platform and provides fast response service for WADP. The simulation results verify that the proposed intelligent system has high adaptability to the low-quality communication networks with limited bandwidth.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130723344","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101956
A. Terenteva, M. Limorenko
An inaccurate value of blood glucose concentration in patients with diabetes mellitus can lead to mistakes in treatment. To determine the right treatment, you need to improve accuracy. Authors of the article proposes to use adaptive statistical methods for increasing accuracy, which work well for a small number of repeated measurements under conditions of uncertainty of external factors.
{"title":"Research on Methods to Improve Glycemic Control Accuracy","authors":"A. Terenteva, M. Limorenko","doi":"10.1109/ICIEA49774.2020.9101956","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101956","url":null,"abstract":"An inaccurate value of blood glucose concentration in patients with diabetes mellitus can lead to mistakes in treatment. To determine the right treatment, you need to improve accuracy. Authors of the article proposes to use adaptive statistical methods for increasing accuracy, which work well for a small number of repeated measurements under conditions of uncertainty of external factors.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788609","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101980
Ziping Liu
This article builds a supply chain model consisting of three retailers on the basis of a two-way transshipment supply chain model of Rudi (2001), and analyzes a supply chain inventory management model with multi-directional transshipment in the new retail environment The formula is used to calculate the optimal ordering decision in the traditional newsboy model, centralized decision model and decentralized decision model. Combined with Matlab example analysis, it compares the impact of different decisions and different transfer prices on inventory selection. Based on this, under the conditions of independent demand and symmetric information, inventory sharing under centralized decision-making can achieve inventory integration between downstream retailers and optimize the overall profit of the supply chain. Inventory sharing under decentralized decision-making can also effectively increase the profit of the supply chain, and there is a coordinated transfer price to make the overall profit of the supply chain relatively optimal.
{"title":"Research on Multi-node Supply Chain Coordination in New Retail Environment","authors":"Ziping Liu","doi":"10.1109/ICIEA49774.2020.9101980","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101980","url":null,"abstract":"This article builds a supply chain model consisting of three retailers on the basis of a two-way transshipment supply chain model of Rudi (2001), and analyzes a supply chain inventory management model with multi-directional transshipment in the new retail environment The formula is used to calculate the optimal ordering decision in the traditional newsboy model, centralized decision model and decentralized decision model. Combined with Matlab example analysis, it compares the impact of different decisions and different transfer prices on inventory selection. Based on this, under the conditions of independent demand and symmetric information, inventory sharing under centralized decision-making can achieve inventory integration between downstream retailers and optimize the overall profit of the supply chain. Inventory sharing under decentralized decision-making can also effectively increase the profit of the supply chain, and there is a coordinated transfer price to make the overall profit of the supply chain relatively optimal.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126662415","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102031
Shiran Zhang, Mengke Yang, Xiaoguang Zhou
Nowadays joint distribution as a new type of express delivery has been valued by many companies for its advantages. This paper uses evolutionary game theory to analyze and study the factors affecting the promotion of express terminal joint distribution. Introduces the government's reward and punishment factors to analyze the impact of government rewards and punishments on the decision of express companies. Through the verification and analysis of an example, suggestions are finally made on the promotion mechanism of joint distribution.
{"title":"Mechanism of Terminal Express Joint Distribution Based on Evolutionary Game","authors":"Shiran Zhang, Mengke Yang, Xiaoguang Zhou","doi":"10.1109/ICIEA49774.2020.9102031","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102031","url":null,"abstract":"Nowadays joint distribution as a new type of express delivery has been valued by many companies for its advantages. This paper uses evolutionary game theory to analyze and study the factors affecting the promotion of express terminal joint distribution. Introduces the government's reward and punishment factors to analyze the impact of government rewards and punishments on the decision of express companies. Through the verification and analysis of an example, suggestions are finally made on the promotion mechanism of joint distribution.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127184771","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102029
E. Podchasov, N. Bubnova, M. Limorenko
Precision requirement increment for machine parts is one of the results of modern mechanical engineering development. It causes intermediate control and Acceptance test complication to allow crap rate decrement. However, Precision requirement increment may cause sufficient control technology complication and rise requirement for control devices. This problem may be solved by means of multiple measurements with optimization of its number. Traditional Student coefficient method usage causes uncertainty. Consecutive analysis with non-dimensional criteria of process stability is suggested to solve the problem. This method allows choosing minimal necessary number of measurement depending on the technological process characteristic. Because of easy mathematical realization such an algorithm may be used for measurement automation and its usage allows to optimize measurement numbers and to lower manufacturing time for machine parts.
{"title":"Accuracy Increasing of Automated Control with Multiple Measurements","authors":"E. Podchasov, N. Bubnova, M. Limorenko","doi":"10.1109/ICIEA49774.2020.9102029","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102029","url":null,"abstract":"Precision requirement increment for machine parts is one of the results of modern mechanical engineering development. It causes intermediate control and Acceptance test complication to allow crap rate decrement. However, Precision requirement increment may cause sufficient control technology complication and rise requirement for control devices. This problem may be solved by means of multiple measurements with optimization of its number. Traditional Student coefficient method usage causes uncertainty. Consecutive analysis with non-dimensional criteria of process stability is suggested to solve the problem. This method allows choosing minimal necessary number of measurement depending on the technological process characteristic. Because of easy mathematical realization such an algorithm may be used for measurement automation and its usage allows to optimize measurement numbers and to lower manufacturing time for machine parts.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"406 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127595954","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101910
Shuang Zhang, Kai Zhang
As a convergence of “self-driving” and “sharing”, shared autonomous vehicles can offer real-time ridesharing service to the common people, and have potential to transform current traffic patterns. This paper focuses on a new dynamic ridesharing strategy for shared self-driving cars, including system technical framework, workflow to operate for service provider and matching model between customers and cars, according to the similarity of their predicted trajectories, service provider would use fewer vehicles to meet all the requests by matching ride demands and cars, if they have similar trajectories. A computational experiment results showed that, this strategy can increase vehicle occupancy and alleviate congestion.
{"title":"Dynamic Ridesharing Strategy for Shared Autonomous Vehicles Based on Maximum Similarity of Trajectories","authors":"Shuang Zhang, Kai Zhang","doi":"10.1109/ICIEA49774.2020.9101910","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101910","url":null,"abstract":"As a convergence of “self-driving” and “sharing”, shared autonomous vehicles can offer real-time ridesharing service to the common people, and have potential to transform current traffic patterns. This paper focuses on a new dynamic ridesharing strategy for shared self-driving cars, including system technical framework, workflow to operate for service provider and matching model between customers and cars, according to the similarity of their predicted trajectories, service provider would use fewer vehicles to meet all the requests by matching ride demands and cars, if they have similar trajectories. A computational experiment results showed that, this strategy can increase vehicle occupancy and alleviate congestion.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127617416","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101975
Thorbjørn M. Illemann, A. Karam, K. H. Reinau
Private freight companies collect a significant amount of data by utilizing advanced information and communication tools. Sharing the freight data of these companies with public policy makers, would significantly improve transportation planning decisions in the public sector. Existing literature has shown various ways of how public sectors can use this private freight data in transportation planning. However, current literature lacks a framework that can be used to guide the public policy makers to identify the most suitable uses of the shared freight data that satisfy their planning needs. This paper addresses this research gap and presents a framework for identifying how the shared freight data can be used to satisfy the planning needs of different freight stakeholders. First, relevant studies are reviewed, including a detailed illustration of the different uses of the freight data. Based on the review results, different uses of freight data are identified and categorized into six categories: Potentials of freight data in research, patterns of freight movements, estimating Green House Gas (GHG) emissions from transportation activities, analyses of parking patterns, traffic safety analyses, and traffic planning. Second, a framework is suggested to help public policy makers in identifying the most suitable groups that satisfy their transportation planning needs.
{"title":"Towards Sharing Data of Private Freight Companies with Public Policy Makers: A Proposed Framework for Identifying Uses of the Shared Data","authors":"Thorbjørn M. Illemann, A. Karam, K. H. Reinau","doi":"10.1109/ICIEA49774.2020.9101975","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101975","url":null,"abstract":"Private freight companies collect a significant amount of data by utilizing advanced information and communication tools. Sharing the freight data of these companies with public policy makers, would significantly improve transportation planning decisions in the public sector. Existing literature has shown various ways of how public sectors can use this private freight data in transportation planning. However, current literature lacks a framework that can be used to guide the public policy makers to identify the most suitable uses of the shared freight data that satisfy their planning needs. This paper addresses this research gap and presents a framework for identifying how the shared freight data can be used to satisfy the planning needs of different freight stakeholders. First, relevant studies are reviewed, including a detailed illustration of the different uses of the freight data. Based on the review results, different uses of freight data are identified and categorized into six categories: Potentials of freight data in research, patterns of freight movements, estimating Green House Gas (GHG) emissions from transportation activities, analyses of parking patterns, traffic safety analyses, and traffic planning. Second, a framework is suggested to help public policy makers in identifying the most suitable groups that satisfy their transportation planning needs.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"509 42","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113994357","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101944
Xue Lin, Zhisheng Zhang
Recent years, with the development of medical conditions, adopting the principles from human factors engineering has become a new requirement in medical field. It can improve human performance with medical devices, reduce the potential for error and consequently improve patient safety. Furthermore, the importance of human-machine operation becomes increasingly visible in a clinical environment. As a typical representative of controller, the remote control of operating bed is widely applied to the medical operation. Therefore, the remote control similarly puts more and more emphasis on the user experience and humanized design. This is conducive not only to adjusting the patient's positioning for a surgical procedure efficiently, but also to reducing operating difficulties and raising user's satisfaction. This article takes an in depth look at the application characteristics of remote control and analyses the key pain points in medical operation combined human-machine engineering methods. Ultimately, the paper provides a well-defined framework of guidelines and principles for designing remote control of medical bed.
{"title":"Designing Remote Control of Medical Bed Based on Human Factors","authors":"Xue Lin, Zhisheng Zhang","doi":"10.1109/ICIEA49774.2020.9101944","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101944","url":null,"abstract":"Recent years, with the development of medical conditions, adopting the principles from human factors engineering has become a new requirement in medical field. It can improve human performance with medical devices, reduce the potential for error and consequently improve patient safety. Furthermore, the importance of human-machine operation becomes increasingly visible in a clinical environment. As a typical representative of controller, the remote control of operating bed is widely applied to the medical operation. Therefore, the remote control similarly puts more and more emphasis on the user experience and humanized design. This is conducive not only to adjusting the patient's positioning for a surgical procedure efficiently, but also to reducing operating difficulties and raising user's satisfaction. This article takes an in depth look at the application characteristics of remote control and analyses the key pain points in medical operation combined human-machine engineering methods. Ultimately, the paper provides a well-defined framework of guidelines and principles for designing remote control of medical bed.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114157888","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101908
S. A. Fahmy
The vehicle routing problem (VRP) is that of finding the optimal routes for a number of vehicles (trucks) to serve a set of customers, with the goal of minimizing the total transportation cost. Due to the different sizes and nature of customer orders and different capacities of trucks, an order might be split onto more than one truck. The problem then becomes not only of finding the optimal routes, but further of how to divide the orders between trucks. In this paper, the VRP with split strategy, considering heterogeneous fleet and orders is approached. The problem was first formulated as a mixed integer programming model (MILP) with a total transportation cost minimization objective. Due to the complexity of the problem, a two-phase solution algorithm was further proposed to solve the problem. The algorithm first constructs the routes sequentially based on the savings function, then it employs a 2-opt algorithm to improve the routes. The algorithm was applied to solve the problem for a fast moving consumer goods (FMCG) distribution company. Results indicated that the algorithm is able to minimize the number of required trucks and satisfy all customer orders, while minimizing the transportation cost.
{"title":"The Vehicle Routing Problem with Split Delivery and Heterogeneous Trucks and Commodities: A Case Study","authors":"S. A. Fahmy","doi":"10.1109/ICIEA49774.2020.9101908","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101908","url":null,"abstract":"The vehicle routing problem (VRP) is that of finding the optimal routes for a number of vehicles (trucks) to serve a set of customers, with the goal of minimizing the total transportation cost. Due to the different sizes and nature of customer orders and different capacities of trucks, an order might be split onto more than one truck. The problem then becomes not only of finding the optimal routes, but further of how to divide the orders between trucks. In this paper, the VRP with split strategy, considering heterogeneous fleet and orders is approached. The problem was first formulated as a mixed integer programming model (MILP) with a total transportation cost minimization objective. Due to the complexity of the problem, a two-phase solution algorithm was further proposed to solve the problem. The algorithm first constructs the routes sequentially based on the savings function, then it employs a 2-opt algorithm to improve the routes. The algorithm was applied to solve the problem for a fast moving consumer goods (FMCG) distribution company. Results indicated that the algorithm is able to minimize the number of required trucks and satisfy all customer orders, while minimizing the transportation cost.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756148","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 : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9102018
J. D. German, Kianna Denise C. Villapando, Janelle P. Resilva, John Robert C. Quiambao, Angelo R. Guevarra
Seating arrangements are among the significant factors considered in the field of education. Traditional seating arrangement is commonly used in classrooms, but it does not usually work for most students. This research adapted various designs of seating arrangements for Statistics classes of Grade 11 students to determine its effects on these students' academic performance. After completing the discussion for the selected topic, an examination was given to the students and their respective scores were collected and analyzed. Using one-way Analysis of Variance (ANOVA) and Tukey's post-hoc test, the test scores revealed that the different seating arrangements have different effects on the performance of these students. This concludes that students must be arranged in a seating design that would allow for collaboration and interaction between them and their teacher since this will help in enhancing their academic performance.
{"title":"Effects of Various Seating Arrangements on Academic Performance of Grade 11 Students in Statistics","authors":"J. D. German, Kianna Denise C. Villapando, Janelle P. Resilva, John Robert C. Quiambao, Angelo R. Guevarra","doi":"10.1109/ICIEA49774.2020.9102018","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102018","url":null,"abstract":"Seating arrangements are among the significant factors considered in the field of education. Traditional seating arrangement is commonly used in classrooms, but it does not usually work for most students. This research adapted various designs of seating arrangements for Statistics classes of Grade 11 students to determine its effects on these students' academic performance. After completing the discussion for the selected topic, an examination was given to the students and their respective scores were collected and analyzed. Using one-way Analysis of Variance (ANOVA) and Tukey's post-hoc test, the test scores revealed that the different seating arrangements have different effects on the performance of these students. This concludes that students must be arranged in a seating design that would allow for collaboration and interaction between them and their teacher since this will help in enhancing their academic performance.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130155683","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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