Pub Date : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309922
S. Paul, Sunil Rathee, Jose Mathew, Kranthi Mitra Adusumilli
The success of an on-demand meal delivery business depends on the cost-effectiveness, speedy, and timely delivery of orders. This problem calls for an optimal trade-off between the cost and time of delivery in near real-time for large-scale orders. In this paper, a generic framework for the optimization of first-mile and last-mile of an on-demand meal delivery system is proposed. The objective is to minimize the overall Cost Per Delivery (CPD) and the delay in order delivery time. Few policies are recommended based on the Just-In-Time (JIT) concept and performances are compared within a simulation framework with real order data of a city. The simulation results indicate that the aggressive JIT policies result in substantial savings of CPD by reducing the wait time without compromising the Customer Experience (CX).
{"title":"An Optimization Framework for On-Demand Meal Delivery System","authors":"S. Paul, Sunil Rathee, Jose Mathew, Kranthi Mitra Adusumilli","doi":"10.1109/IEEM45057.2020.9309922","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309922","url":null,"abstract":"The success of an on-demand meal delivery business depends on the cost-effectiveness, speedy, and timely delivery of orders. This problem calls for an optimal trade-off between the cost and time of delivery in near real-time for large-scale orders. In this paper, a generic framework for the optimization of first-mile and last-mile of an on-demand meal delivery system is proposed. The objective is to minimize the overall Cost Per Delivery (CPD) and the delay in order delivery time. Few policies are recommended based on the Just-In-Time (JIT) concept and performances are compared within a simulation framework with real order data of a city. The simulation results indicate that the aggressive JIT policies result in substantial savings of CPD by reducing the wait time without compromising the Customer Experience (CX).","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129303958","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309909
Xing Scott Tan, Zijiang Yang, Y. Benslimane, Eric Liu
Applications of machine learning and related algorithms in Electronic Commerce (hereafter E-Commerce) have the potential to build robust analytical models that help examine transaction data and successfully detect and predict anomalies. Nonetheless, the robustness of such models can be undermined in the case of highly unbalanced data set. This paper presents a classification method built on K-means Clustering that addresses the issue of highly unbalanced data. In this method, we first pre-process our E-Commerce data and then apply clustering and classifying procedures to create a number of clusters where each resulting cluster includes similar transaction records. Next, four classifiers including Logistic Regression, Naive Bayes, RBFNetwork and NBtree classifiers are used to assess the resulting solution. Findings based on real-word data show that this method provides a better solution for transaction anomaly detection and prediction than traditional approaches. They also show that it straightforwardly resolves classification problems with data imbalance.
{"title":"Using Classification with K-means Clustering to Investigate Transaction Anomaly","authors":"Xing Scott Tan, Zijiang Yang, Y. Benslimane, Eric Liu","doi":"10.1109/IEEM45057.2020.9309909","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309909","url":null,"abstract":"Applications of machine learning and related algorithms in Electronic Commerce (hereafter E-Commerce) have the potential to build robust analytical models that help examine transaction data and successfully detect and predict anomalies. Nonetheless, the robustness of such models can be undermined in the case of highly unbalanced data set. This paper presents a classification method built on K-means Clustering that addresses the issue of highly unbalanced data. In this method, we first pre-process our E-Commerce data and then apply clustering and classifying procedures to create a number of clusters where each resulting cluster includes similar transaction records. Next, four classifiers including Logistic Regression, Naive Bayes, RBFNetwork and NBtree classifiers are used to assess the resulting solution. Findings based on real-word data show that this method provides a better solution for transaction anomaly detection and prediction than traditional approaches. They also show that it straightforwardly resolves classification problems with data imbalance.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129490163","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309893
Cunwu Sun, Hongqing Ye, W. Weng, Qingwei Wang
This paper studies a two-stage newsvendor problem with two suppliers, where the retailer’s loss aversion and probability weighting effects are considered. We solve the model by backward induction and derive the optimal order quantities in the first and second stages. We provide the prerequisites of the retailer’s selection between the two suppliers. We find that the optimal order quantity in the first stage decreases with the loss aversion coefficient and the capacity of the second-stage, and increases with the cost of the second-stage. As the coefficient of the probability weighting function increases, the optimal first-order quantity may increase or decrease.
{"title":"Two-Stage Newsvendor Problem with Loss Aversion and Probability Weighting Effects","authors":"Cunwu Sun, Hongqing Ye, W. Weng, Qingwei Wang","doi":"10.1109/IEEM45057.2020.9309893","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309893","url":null,"abstract":"This paper studies a two-stage newsvendor problem with two suppliers, where the retailer’s loss aversion and probability weighting effects are considered. We solve the model by backward induction and derive the optimal order quantities in the first and second stages. We provide the prerequisites of the retailer’s selection between the two suppliers. We find that the optimal order quantity in the first stage decreases with the loss aversion coefficient and the capacity of the second-stage, and increases with the cost of the second-stage. As the coefficient of the probability weighting function increases, the optimal first-order quantity may increase or decrease.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389238","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309884
Desmond Wong, Yee Lin Hiew
This short paper documents a systems approach to a sector productivity intervention in the social services. Productivity is contextual, and interventions into such services are complicated by the asymmetric influence of guided competition and professional discourses on service delivery. To address this, Wong and Hiew’s (2019) methodology from the health services was synthesized with capabilities, constraints, costing, and wider operational research (OR) theories. This could have been improved by incorporating throughput accounting to link strategy with financial sustainability. Key principles are also discussed, including the importance of boundary critique in public-plural services, where meaning is intersubjective. Relevant interventions must orient to the right strategic goal of social outcomes/externalities (not financial returns), flow efficiency (not resource efficiency), and informed choices on the flow and throughput units (never, arbitrary costs and lead times).
{"title":"A Systems Approach to a Sector Productivity Intervention in the Social Services: Report on Methodology","authors":"Desmond Wong, Yee Lin Hiew","doi":"10.1109/IEEM45057.2020.9309884","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309884","url":null,"abstract":"This short paper documents a systems approach to a sector productivity intervention in the social services. Productivity is contextual, and interventions into such services are complicated by the asymmetric influence of guided competition and professional discourses on service delivery. To address this, Wong and Hiew’s (2019) methodology from the health services was synthesized with capabilities, constraints, costing, and wider operational research (OR) theories. This could have been improved by incorporating throughput accounting to link strategy with financial sustainability. Key principles are also discussed, including the importance of boundary critique in public-plural services, where meaning is intersubjective. Relevant interventions must orient to the right strategic goal of social outcomes/externalities (not financial returns), flow efficiency (not resource efficiency), and informed choices on the flow and throughput units (never, arbitrary costs and lead times).","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121478610","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309736
Xiaowen Sun, Yuanchun Chen
Advance selling strategy is often adopted by retailers to encourage customers to make pre-order to avoid the risk of out of stock. However, during advance selling, customers can only estimate the actual value of the product perceived at the time of receipt. This uncertainty about the actual value of the product may prevent customers from buying in advance. This paper proposes a joint strategy of advance selling and resalable returns for retailers to encourage customers to make pre-orders, where both customers’ estimated values and realized values are heterogenous. The optimal advance selling price and buyback price are derived. The expected profits resulted form the proposed joint strategy and that from a single advance selling strategy are compared. Moreover, conditions in which the proposed joint strategy outperforms the single advance selling strategy are identified.
{"title":"Joint Strategy of Advance Selling and Resalable Returns for Fashion Products","authors":"Xiaowen Sun, Yuanchun Chen","doi":"10.1109/IEEM45057.2020.9309736","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309736","url":null,"abstract":"Advance selling strategy is often adopted by retailers to encourage customers to make pre-order to avoid the risk of out of stock. However, during advance selling, customers can only estimate the actual value of the product perceived at the time of receipt. This uncertainty about the actual value of the product may prevent customers from buying in advance. This paper proposes a joint strategy of advance selling and resalable returns for retailers to encourage customers to make pre-orders, where both customers’ estimated values and realized values are heterogenous. The optimal advance selling price and buyback price are derived. The expected profits resulted form the proposed joint strategy and that from a single advance selling strategy are compared. Moreover, conditions in which the proposed joint strategy outperforms the single advance selling strategy are identified.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124147142","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309921
E. Goudarzi, M. Houshmand, O. F. Valilai, V. Ghezavati, Shahrouz Bamdad
The production environment and its related supply chain have faced with enormous changes by Industry 4.0 (I4.0) emergence. Cloud Manufacturing (CM) is one of the paradigms of I4.0. Composition of Manufacturing Cloud Service (MCS) is an approach for developing the composite services in Cloud Manufacturing System (CMS) considering the MCS providers. Game theory is considered as an effective approach for developing models according to real-world conditions for MCS providers' cooperation and competition. This research proposes a profit function and then develops a mathematical model for MCS composition using game theory and the proposed function. The MCS providers compete with each other in non-cooperative and cooperative games according to the proposed mathematical model. The result of research demonstrates that the cooperation game is more profitable than the non-cooperative game based on the formal cooperation among the MCS providers. Therefore, the payoff of players in the cooperative game is higher than the non-cooperative game. Also, the level of Quality of Service (QoS) in the cooperative game is greater than the game type of non-cooperative. Therefore, the model of cooperative game satisfies the consumers and the MCS providers mutually. The paper recommends applying the cooperation game to service composition in the CMS.
{"title":"Manufacturing Cloud Service Composition Based on the Non-Cooperative and Cooperative Game Theory","authors":"E. Goudarzi, M. Houshmand, O. F. Valilai, V. Ghezavati, Shahrouz Bamdad","doi":"10.1109/IEEM45057.2020.9309921","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309921","url":null,"abstract":"The production environment and its related supply chain have faced with enormous changes by Industry 4.0 (I4.0) emergence. Cloud Manufacturing (CM) is one of the paradigms of I4.0. Composition of Manufacturing Cloud Service (MCS) is an approach for developing the composite services in Cloud Manufacturing System (CMS) considering the MCS providers. Game theory is considered as an effective approach for developing models according to real-world conditions for MCS providers' cooperation and competition. This research proposes a profit function and then develops a mathematical model for MCS composition using game theory and the proposed function. The MCS providers compete with each other in non-cooperative and cooperative games according to the proposed mathematical model. The result of research demonstrates that the cooperation game is more profitable than the non-cooperative game based on the formal cooperation among the MCS providers. Therefore, the payoff of players in the cooperative game is higher than the non-cooperative game. Also, the level of Quality of Service (QoS) in the cooperative game is greater than the game type of non-cooperative. Therefore, the model of cooperative game satisfies the consumers and the MCS providers mutually. The paper recommends applying the cooperation game to service composition in the CMS.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904705","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309876
Y. Prasetyo, Simeon Arnold R. Tumanan, Lance Allen F. Yarte, Mhel Cris C. Ogoy, A. K. Ong
Blackboard E-Learning System has been utilized by many top schools in the Philippines. The purpose of this study was to evaluate Filipino high school students' acceptance and satisfaction of Blackboard E-Learning System by utilizing an Extended Technology Acceptance Model (ETAM). 8 latent variables were utilized in this study: Perceived Ease of Use (PEOU), Perceived Interactivity (PI), Attitude (A), Actual Use (AU), Perceived Usefulness (PU), Feature (F), Behavioral Intention (BI), and Satisfaction (S). An online questionnaire was conducted at Senior High School Mapúa University and a total of 200 respondent data were analyzed. The results indicated that AU is the most significant factor affecting S, followed by F, PU, PEOU, A, and PI. This study is the first study that investigated the Blackboard acceptance in the Philippines. The results would be very beneficial for educators, IT engineers, and even policymakers.
{"title":"Blackboard E-learning System Acceptance and Satisfaction Among Filipino High School Students: An Extended Technology Acceptance Model (TAM) Approach","authors":"Y. Prasetyo, Simeon Arnold R. Tumanan, Lance Allen F. Yarte, Mhel Cris C. Ogoy, A. K. Ong","doi":"10.1109/IEEM45057.2020.9309876","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309876","url":null,"abstract":"Blackboard E-Learning System has been utilized by many top schools in the Philippines. The purpose of this study was to evaluate Filipino high school students' acceptance and satisfaction of Blackboard E-Learning System by utilizing an Extended Technology Acceptance Model (ETAM). 8 latent variables were utilized in this study: Perceived Ease of Use (PEOU), Perceived Interactivity (PI), Attitude (A), Actual Use (AU), Perceived Usefulness (PU), Feature (F), Behavioral Intention (BI), and Satisfaction (S). An online questionnaire was conducted at Senior High School Mapúa University and a total of 200 respondent data were analyzed. The results indicated that AU is the most significant factor affecting S, followed by F, PU, PEOU, A, and PI. This study is the first study that investigated the Blackboard acceptance in the Philippines. The results would be very beneficial for educators, IT engineers, and even policymakers.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127973376","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309841
G. D. Khan, C. Cheah
Though different techniques have been formulated in the past for the optical micro-manipulation, the feasibility of these techniques mostly relied on the common assumption of the known structure of robotic tweezers dynamics. However, in most cases, the system has unmodeled dynamics because of which it is difficult to comprehend the structure of the regressor matrix. This creates complications in the designing and implementation of controllers for the optical tweezers systems. In this paper, we propose a neural network-based controller for set-point control of an optical tweezers system with uncertain dynamics. We use the neural networks to approximate the dynamics of the robotic tweezers and thus the proposed method allows the control of the system without knowing the structure of the dynamic model. Numerical simulations are also presented to demonstrate the effectiveness of the proposed approach. Index Terms—Optical tweezers, Cell manipulation, Neural Network, Set-point control.
{"title":"Neural Network Control of Optical Tweezers System for Manipulation of Microscopic Objects","authors":"G. D. Khan, C. Cheah","doi":"10.1109/IEEM45057.2020.9309841","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309841","url":null,"abstract":"Though different techniques have been formulated in the past for the optical micro-manipulation, the feasibility of these techniques mostly relied on the common assumption of the known structure of robotic tweezers dynamics. However, in most cases, the system has unmodeled dynamics because of which it is difficult to comprehend the structure of the regressor matrix. This creates complications in the designing and implementation of controllers for the optical tweezers systems. In this paper, we propose a neural network-based controller for set-point control of an optical tweezers system with uncertain dynamics. We use the neural networks to approximate the dynamics of the robotic tweezers and thus the proposed method allows the control of the system without knowing the structure of the dynamic model. Numerical simulations are also presented to demonstrate the effectiveness of the proposed approach. Index Terms—Optical tweezers, Cell manipulation, Neural Network, Set-point control.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121754422","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309800
F. Lestari, I. Kusumanto, S. Hasri, Akmaluhadi
The industrial engineering department needs to evaluate graduates who can adapt their expertise to the needs of the industry. The purpose of this study is to assess graduate skills through program educational objectives (PEO) and learning outcomes (LO) and propose an undergraduate student internship program by adopting the concept of an independent campus in Indonesia. Moreover, it also uses a three-round the Delphi method through the in-depth interviews with 128 alumni in 100 industries, focus group discussion with ten experts, and validation from the panelist consist of practitioner and academician. Findings presented that 3 PEO and 14 LO still relevant based on the industrial requirement. Then, this study found that there were two types of internship programs consisting of 18 skills of the internship program in the industry and 14 skills of the entrepreneurship program. The paper guides the industrial engineering department in charge of an undergraduate student internship program through a Delphi method.
{"title":"Independent Campus on Industrial Engineering Undergraduate Program in Indonesia: A Delphi Method","authors":"F. Lestari, I. Kusumanto, S. Hasri, Akmaluhadi","doi":"10.1109/IEEM45057.2020.9309800","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309800","url":null,"abstract":"The industrial engineering department needs to evaluate graduates who can adapt their expertise to the needs of the industry. The purpose of this study is to assess graduate skills through program educational objectives (PEO) and learning outcomes (LO) and propose an undergraduate student internship program by adopting the concept of an independent campus in Indonesia. Moreover, it also uses a three-round the Delphi method through the in-depth interviews with 128 alumni in 100 industries, focus group discussion with ten experts, and validation from the panelist consist of practitioner and academician. Findings presented that 3 PEO and 14 LO still relevant based on the industrial requirement. Then, this study found that there were two types of internship programs consisting of 18 skills of the internship program in the industry and 14 skills of the entrepreneurship program. The paper guides the industrial engineering department in charge of an undergraduate student internship program through a Delphi method.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938922","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309950
Y. Lv, Xiaohua Cao, Qianwen Zhou, Wenqin Zhao, Kai Ding
Over the years, the shore power technology of ships has become one of the most important measures for energy saving and emission reduction in ports, and it has been paid more and more attention by governments around the world. Shore power technology is to stop the use of auxiliary machinery while the ship is at the dock, and switch to shore power supply to obtain the power required by its pump set, ventilation, lighting, communication and other facilities. The shore power supply system mainly includes the transformation and frequency conversion of the power supply with the connection between the shore power supply system and the ship. While shore power technology is becoming more and more widely used, we must also begin to pay attention to the safety requirements of shore power applications, to ensure the reliability and stability of shore power facilities and equipment, and to ensure the safety of operators and users. This article summarizes the safety and security application methods of shore power system from three aspects: insulation monitoring, shore power equipment safety improvement technology, and fault diagnosis.
{"title":"Safety and Security Study for Shore Power System: State-of-the-Art","authors":"Y. Lv, Xiaohua Cao, Qianwen Zhou, Wenqin Zhao, Kai Ding","doi":"10.1109/IEEM45057.2020.9309950","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309950","url":null,"abstract":"Over the years, the shore power technology of ships has become one of the most important measures for energy saving and emission reduction in ports, and it has been paid more and more attention by governments around the world. Shore power technology is to stop the use of auxiliary machinery while the ship is at the dock, and switch to shore power supply to obtain the power required by its pump set, ventilation, lighting, communication and other facilities. The shore power supply system mainly includes the transformation and frequency conversion of the power supply with the connection between the shore power supply system and the ship. While shore power technology is becoming more and more widely used, we must also begin to pay attention to the safety requirements of shore power applications, to ensure the reliability and stability of shore power facilities and equipment, and to ensure the safety of operators and users. This article summarizes the safety and security application methods of shore power system from three aspects: insulation monitoring, shore power equipment safety improvement technology, and fault diagnosis.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370038","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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