Pub Date : 2020-04-01DOI: 10.1109/ICIEA49774.2020.9101957
Andrei O. J. Kwok, Sharon G. M. Koh
In recent years, blockchain technology has garnered phenomenal interest across various industries due to its disruptive potential on business improvement. The capability of blockchain technology in enhancing efficient data management and providing traceability offers significant value to manufacturing. Given the increasing traction of blockchain application, the confluence of blockchain technology with other emergent technologies is poised to transform the manufacturing industry. This study addresses the paucity of scholarly research by deciphering how blockchain technology can contribute to manufacturing improvement. Based on neural network analysis, this study maps the future pathways in blockchain technology research in manufacturing improvement by revealing the emerging themes, offer recommendations, and raise the call for more studies.
{"title":"Neural Network Insights of Blockchain Technology in Manufacturing Improvement","authors":"Andrei O. J. Kwok, Sharon G. M. Koh","doi":"10.1109/ICIEA49774.2020.9101957","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101957","url":null,"abstract":"In recent years, blockchain technology has garnered phenomenal interest across various industries due to its disruptive potential on business improvement. The capability of blockchain technology in enhancing efficient data management and providing traceability offers significant value to manufacturing. Given the increasing traction of blockchain application, the confluence of blockchain technology with other emergent technologies is poised to transform the manufacturing industry. This study addresses the paucity of scholarly research by deciphering how blockchain technology can contribute to manufacturing improvement. Based on neural network analysis, this study maps the future pathways in blockchain technology research in manufacturing improvement by revealing the emerging themes, offer recommendations, and raise the call for more studies.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"35 13-14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114047507","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/ICIEA49774.2020.9102034
Husnain Saeed, Shahid Ikramullah, Mushtaq Khan, Fahd Amjad, Liaqat Ali, Z. Faping
Various optimization techniques have been used to solve Traffic Assignment problem, similarly different variants of Gravity Model have been used to generate the trips across the network. This paper presents a unique methodology of combining both techniques and presents a holistic framework of managing Transportation Corridors that emerged due to combining these two proven techniques with slight modifications. Modified Gravity Model (MGM) successfully predicted and generated the trips across a corridor, and Ant Colony Optimization (ACO) helped assign Trips. The data used has been obtained from a real-life Corridor and the results have been verified using statistics from the national authorities managing the corridor. Specific case of China Pakistan Economic Corridor (CPEC) has been considered and modeled in Simio, Matlab and QGIS.
{"title":"Multi Depot Vehicle Routing Using Ant Colony Optimization - Trip Assignment of Freight Flow Using Modified Gravity Model: Special case of CPEC – Flagship of Belt and Road Initiative (BRI)","authors":"Husnain Saeed, Shahid Ikramullah, Mushtaq Khan, Fahd Amjad, Liaqat Ali, Z. Faping","doi":"10.1109/ICIEA49774.2020.9102034","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102034","url":null,"abstract":"Various optimization techniques have been used to solve Traffic Assignment problem, similarly different variants of Gravity Model have been used to generate the trips across the network. This paper presents a unique methodology of combining both techniques and presents a holistic framework of managing Transportation Corridors that emerged due to combining these two proven techniques with slight modifications. Modified Gravity Model (MGM) successfully predicted and generated the trips across a corridor, and Ant Colony Optimization (ACO) helped assign Trips. The data used has been obtained from a real-life Corridor and the results have been verified using statistics from the national authorities managing the corridor. Specific case of China Pakistan Economic Corridor (CPEC) has been considered and modeled in Simio, Matlab and QGIS.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"77 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":"121128509","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/ICIEA49774.2020.9101934
A. Morsi, S. Ahmed, Abdelfatah M. Mohamed, H. S. Abbas
Active magnetic bearing (AMB) systems have attracted much attention in the high speed rotating machinery industry. This paper presents an application of discrete-time model predictive control (MPC) subject to input/states constraints to control an AMB system based on linear time-invariant (LTI) model. The main control objectives are to levitate the rotor shaft of the AMB system while tracking a reference trajectory and to reject possible disturbances without violating the input and state constraints. A nonlinear (NL) model of the AMB system is considered; at each sampling instant, a finite horizon MPC problem is solved to compute the optimal control input. The performance and the efficiency of the proposed MPC is validated via simulation and comparison with another classical PID controller.
{"title":"Model Predictive Control for an Active Magnetic Bearing System","authors":"A. Morsi, S. Ahmed, Abdelfatah M. Mohamed, H. S. Abbas","doi":"10.1109/ICIEA49774.2020.9101934","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101934","url":null,"abstract":"Active magnetic bearing (AMB) systems have attracted much attention in the high speed rotating machinery industry. This paper presents an application of discrete-time model predictive control (MPC) subject to input/states constraints to control an AMB system based on linear time-invariant (LTI) model. The main control objectives are to levitate the rotor shaft of the AMB system while tracking a reference trajectory and to reject possible disturbances without violating the input and state constraints. A nonlinear (NL) model of the AMB system is considered; at each sampling instant, a finite horizon MPC problem is solved to compute the optimal control input. The performance and the efficiency of the proposed MPC is validated via simulation and comparison with another classical PID controller.","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":"114965661","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}
This paper presents the design of a laser measurement system for measuring the 3-dimensional(3D) displacement of railway track. The system consists of a three-channel laser sensor and a regular tetrahedral target. With three lasers, the sensor placed at a stationary position away from the railway track gets the 3-dimensional displacement of a target on the railway track. The structural displacement is computed in real time through processing the measured data. A clever conversion formula developed in this paper enables measurement of 3D displacement by tracking three sets of one-dimensional data of a target without vision technology. The efficacy of the laser system in 3D displacement measurement of the railway track was demonstrated through a fine-tuning table test. The maximum error is 1mm, which nearly equals to the accuracy of the laser sensor. An artificial means of marking the target is also proposed to further improve the adaptability of the system to the dark environment.
{"title":"A Laser Sensor-Based 3-Dimensional Displacement Measuring System for Railway Track","authors":"Jiaqian Ren, Jiye Huang","doi":"10.1145/3463858.3463892","DOIUrl":"https://doi.org/10.1145/3463858.3463892","url":null,"abstract":"This paper presents the design of a laser measurement system for measuring the 3-dimensional(3D) displacement of railway track. The system consists of a three-channel laser sensor and a regular tetrahedral target. With three lasers, the sensor placed at a stationary position away from the railway track gets the 3-dimensional displacement of a target on the railway track. The structural displacement is computed in real time through processing the measured data. A clever conversion formula developed in this paper enables measurement of 3D displacement by tracking three sets of one-dimensional data of a target without vision technology. The efficacy of the laser system in 3D displacement measurement of the railway track was demonstrated through a fine-tuning table test. The maximum error is 1mm, which nearly equals to the accuracy of the laser sensor. An artificial means of marking the target is also proposed to further improve the adaptability of the system to the dark environment.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"246 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":"115595642","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/ICIEA49774.2020.9101916
O. Baryshnikova
In this paper, discusses the design features of the stacker crane, which is the main working body of automated systems for sorting and storage of various cargoes. The research of durability, vibrations and sustainability of its metal structures by well-known package modeling and finite element analysis of MSC/NASTRAN is considered. Evaluation of stress-strain state of stacker crane, focused on creating full finite element models and a variety of types of calculations: linear and nonlinear crushing, research on sustainability, calculate natural oscillation forms and natural oscillation frequencies, the implementation of dynamic frequency and thermal analysis of structures, optimization of its parameters. By results of researches recommendations been given on improving the design of stacker crane.
{"title":"Creating an Efficient Stacker Crane Design","authors":"O. Baryshnikova","doi":"10.1109/ICIEA49774.2020.9101916","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101916","url":null,"abstract":"In this paper, discusses the design features of the stacker crane, which is the main working body of automated systems for sorting and storage of various cargoes. The research of durability, vibrations and sustainability of its metal structures by well-known package modeling and finite element analysis of MSC/NASTRAN is considered. Evaluation of stress-strain state of stacker crane, focused on creating full finite element models and a variety of types of calculations: linear and nonlinear crushing, research on sustainability, calculate natural oscillation forms and natural oscillation frequencies, the implementation of dynamic frequency and thermal analysis of structures, optimization of its parameters. By results of researches recommendations been given on improving the design of stacker crane.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"101 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":"116364850","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/ICIEA49774.2020.9101930
Sirang Klankamsorn
The objective of this research is to determine the number of kanban in the pull system for automotive axle mixed-model production line. The number of Kanban composes of the cycle stock kanban, buffer stock kanban, and safety stock kanban. The results show that the parameters affecting the number of kanban must have to be controlled to meet customer demand. The parameters involving the kanban number are the cycle time, Overall Equipment Effectiveness, safety stock factor, changeover time and Every Part Every Interval.
{"title":"Determination of the Number of Kanban for Automotive Axle Production","authors":"Sirang Klankamsorn","doi":"10.1109/ICIEA49774.2020.9101930","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101930","url":null,"abstract":"The objective of this research is to determine the number of kanban in the pull system for automotive axle mixed-model production line. The number of Kanban composes of the cycle stock kanban, buffer stock kanban, and safety stock kanban. The results show that the parameters affecting the number of kanban must have to be controlled to meet customer demand. The parameters involving the kanban number are the cycle time, Overall Equipment Effectiveness, safety stock factor, changeover time and Every Part Every Interval.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"18 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":"115085177","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/ICIEA49774.2020.9102092
Yubin Xie, Yun Li
Under the fourth industrial revolution, how the traditional manufacturing industry moves from the low end of the value chain to the mid-to-high end, and from the traditional standardization and mass production to personalization and small batch customization is the key to the transformation and upgrading of the industry. This paper focuses on how Haier COSMOPlat can facilitate industrial upstream and downstream collaboration and cross-border integration. Through an explanatory single case study method, this paper analyzes how Haier COSMOPlat provides a model and opportunity for transformation and upgrading for industrial manufacturing, as well as how Haier builds a global and industry-wide industrial mass customization platform, successfully achieves cross-domain and cross-industry collaboration, and enables companies to transform and upgrade. This paper summarizes that COSMOPlat not only promotes the upstream and downstream collaboration of the industrial chain, but also promotes the cross-border integration, with a view to providing a new path for the transformation and upgrading of China's traditional manufacturing industry
{"title":"Research on Haier COSMOPlat Promoting Industry Upstream and Downstream Collaboration and Cross-border Integration","authors":"Yubin Xie, Yun Li","doi":"10.1109/ICIEA49774.2020.9102092","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102092","url":null,"abstract":"Under the fourth industrial revolution, how the traditional manufacturing industry moves from the low end of the value chain to the mid-to-high end, and from the traditional standardization and mass production to personalization and small batch customization is the key to the transformation and upgrading of the industry. This paper focuses on how Haier COSMOPlat can facilitate industrial upstream and downstream collaboration and cross-border integration. Through an explanatory single case study method, this paper analyzes how Haier COSMOPlat provides a model and opportunity for transformation and upgrading for industrial manufacturing, as well as how Haier builds a global and industry-wide industrial mass customization platform, successfully achieves cross-domain and cross-industry collaboration, and enables companies to transform and upgrade. This paper summarizes that COSMOPlat not only promotes the upstream and downstream collaboration of the industrial chain, but also promotes the cross-border integration, with a view to providing a new path for the transformation and upgrading of China's traditional manufacturing industry","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"63 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":"116025911","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/ICIEA49774.2020.9102005
I. Chuckpaiwong, Arom Boekfah
This paper presents a low-cost educational mechatronic system - a simplified helicopter tail rotor for yaw control - used in a 12-hour graduate-level module. Details of hardware configuration, modeling, simulation, and experiment of helicopter tail rotor are provided. Feedback control using proportional-integral-derivative (PID) controller is implemented in real time through MATLAB support package for Arduino hardware together with Arduino Uno microcontroller. Experimental output tracking results for sinusoidal reference signal are presented. The student feedback after learning with the presented system shows positive results in offering student understanding and appreciation on the mechatronics and control subject.
{"title":"Low-Cost Educational Feedback Control System: Helicopter Tail Rotor for Yaw Control","authors":"I. Chuckpaiwong, Arom Boekfah","doi":"10.1109/ICIEA49774.2020.9102005","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102005","url":null,"abstract":"This paper presents a low-cost educational mechatronic system - a simplified helicopter tail rotor for yaw control - used in a 12-hour graduate-level module. Details of hardware configuration, modeling, simulation, and experiment of helicopter tail rotor are provided. Feedback control using proportional-integral-derivative (PID) controller is implemented in real time through MATLAB support package for Arduino hardware together with Arduino Uno microcontroller. Experimental output tracking results for sinusoidal reference signal are presented. The student feedback after learning with the presented system shows positive results in offering student understanding and appreciation on the mechatronics and control subject.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"80 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":"116158611","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/ICIEA49774.2020.9101929
Dasilva Dindana, Fadel Muhammad, A. Kurniawati, M. T. Kurniawan
Massive development of information technology and internet access have driven major changes in people's behavior in certain activities. In the education sector, e-learning becomes a new trend in educational technology. A company of aerospace tried to implement e-learning as a breakthrough project to boost knowledge sharing among its employees. The purpose of this study is to design e-learning for boring process activity. The result of this study is expected to help the company to develop employees' production expertise and reduce production defect rate. The e-learning development was divided into two parts. The first part is the knowledge conversion process based on the SECI model. The second part is the e-learning development process based on the waterfall method and the KM Cycle framework. The three e-learning main structures developed are the online course, the articles that contain best practice and lesson-learned, and the community of practice.
{"title":"E-learning for a Boring Process at an Aerospace Industry Company","authors":"Dasilva Dindana, Fadel Muhammad, A. Kurniawati, M. T. Kurniawan","doi":"10.1109/ICIEA49774.2020.9101929","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101929","url":null,"abstract":"Massive development of information technology and internet access have driven major changes in people's behavior in certain activities. In the education sector, e-learning becomes a new trend in educational technology. A company of aerospace tried to implement e-learning as a breakthrough project to boost knowledge sharing among its employees. The purpose of this study is to design e-learning for boring process activity. The result of this study is expected to help the company to develop employees' production expertise and reduce production defect rate. The e-learning development was divided into two parts. The first part is the knowledge conversion process based on the SECI model. The second part is the e-learning development process based on the waterfall method and the KM Cycle framework. The three e-learning main structures developed are the online course, the articles that contain best practice and lesson-learned, and the community of practice.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"112 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":"114824659","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/ICIEA49774.2020.9102062
Xiaochen Chou, U. Mele, L. Gambardella, R. Montemanni
The Probabilistic Orienteering Problem is an optimization problem where a set of customers, each with an associated prize and probability of requiring a service, a time budget and travel times between customers are given. The objective is to select the subset of customers that maximize the expected total prize collected in the given time (taking into account of the total travel time spent visiting them). Random Restart Local Search is a heuristic method widely used to solve combinatorial optimization problems. In particular, it is used in conjunction with local search procedures to escape from local optima. The method works by restarting the optimization search once no further improvement is possible by the embedded local search component. Each restart is associated with a new initial solution for the optimization, and selecting such restart initial solutions play an important role in the success of the overall algorithm. In this work we propose a method to effectively selecting such solutions, and we present an empirical study to validate our ideas.
{"title":"Re-Initialising Solutions in a Random Restart Local Search for the Probabilistic Orienteering Problem","authors":"Xiaochen Chou, U. Mele, L. Gambardella, R. Montemanni","doi":"10.1109/ICIEA49774.2020.9102062","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102062","url":null,"abstract":"The Probabilistic Orienteering Problem is an optimization problem where a set of customers, each with an associated prize and probability of requiring a service, a time budget and travel times between customers are given. The objective is to select the subset of customers that maximize the expected total prize collected in the given time (taking into account of the total travel time spent visiting them). Random Restart Local Search is a heuristic method widely used to solve combinatorial optimization problems. In particular, it is used in conjunction with local search procedures to escape from local optima. The method works by restarting the optimization search once no further improvement is possible by the embedded local search component. Each restart is associated with a new initial solution for the optimization, and selecting such restart initial solutions play an important role in the success of the overall algorithm. In this work we propose a method to effectively selecting such solutions, and we present an empirical study to validate our ideas.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"109 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":"123215813","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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