With the rapid development of information, the immediacy, interoperability, and portability of information long been essential elements in present society. Technology has also continued to develop from these elements and creating more and more information equipment. In recent years, as new technologies continue to be developed, they have been mainly divided into two major technologies, namely “deep learning” and “augmented reality. These are including face recognition, image recognition, and augmented reality (AR), virtual reality (VR) and so on which are the key development trends now whether on mobile devices or web pages. In this study, the emerging mainstream “deep learning” and “augmented reality” are used to solve the problem of Google Map that cannot perform indoor navigation. The image recognition technology in deep learning is used to achieve the positioning function and the algorithm is used to calculate the best route to your destination, then indoor navigation presented. Finally, augmented reality (AR) technology is used to set up an exclusive AR floating electronic bulletin board at a specific location to display the relevant information and content of the specific location point for users. This research has the characteristics of rapid deployment which can be launched quickly in an indoor environment.
{"title":"A Rapid Deployment Indoor Positioning Architecture based on Image Recognition","authors":"Jia-Hua Wu, Cheng-Ta Huang, Zhi-Ren Huang, Yen-Bai Chen, Sheng-Chang Chen","doi":"10.1109/ICIEA49774.2020.9102083","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102083","url":null,"abstract":"With the rapid development of information, the immediacy, interoperability, and portability of information long been essential elements in present society. Technology has also continued to develop from these elements and creating more and more information equipment. In recent years, as new technologies continue to be developed, they have been mainly divided into two major technologies, namely “deep learning” and “augmented reality. These are including face recognition, image recognition, and augmented reality (AR), virtual reality (VR) and so on which are the key development trends now whether on mobile devices or web pages. In this study, the emerging mainstream “deep learning” and “augmented reality” are used to solve the problem of Google Map that cannot perform indoor navigation. The image recognition technology in deep learning is used to achieve the positioning function and the algorithm is used to calculate the best route to your destination, then indoor navigation presented. Finally, augmented reality (AR) technology is used to set up an exclusive AR floating electronic bulletin board at a specific location to display the relevant information and content of the specific location point for users. This research has the characteristics of rapid deployment which can be launched quickly in an indoor environment.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"1 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":"115723255","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/ICIEA49774.2020.9102041
M. Young, T. T. N. Chuahay, J. Diaz
This paper presents a comparative analysis of mean-variance and safety-first portfolios exploiting exchange traded funds in ASIA. Different portfolio weight thresholds (risk-return trade-off parameters) for safety-first (mean-variance) model are used in order to consider all type of investors. Back-test result shows that Both safety-first and mean-variance portfolios of exchange traded funds can outperform the benchmark. It was also observed that most safety-first investors and risk-seeking mean-variance investors can significantly outperform the benchmark. Overall, this study offers alternative investment frameworks that can probably be considered as a generic investment procedure for any investor.
{"title":"Comparative Analysis of Mean-Variance and Safety-First Portfolio Utilizing Exchange Traded Funds in Asia","authors":"M. Young, T. T. N. Chuahay, J. Diaz","doi":"10.1109/ICIEA49774.2020.9102041","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102041","url":null,"abstract":"This paper presents a comparative analysis of mean-variance and safety-first portfolios exploiting exchange traded funds in ASIA. Different portfolio weight thresholds (risk-return trade-off parameters) for safety-first (mean-variance) model are used in order to consider all type of investors. Back-test result shows that Both safety-first and mean-variance portfolios of exchange traded funds can outperform the benchmark. It was also observed that most safety-first investors and risk-seeking mean-variance investors can significantly outperform the benchmark. Overall, this study offers alternative investment frameworks that can probably be considered as a generic investment procedure for any investor.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"43 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":"117247437","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/ICIEA49774.2020.9102089
Dela Natalia Malau, Andri D. Setiawan, A. Hidayatno
Indonesia's digital economy has shown a high growth of startup companies. This phenomenon is supported by large population where the number of mobile phone users have reached a hundred million. The number of startup companies in Indonesia reached 2143 in 2019. However, 93% of them are small startups. The leveling of the startup company is measured by its valuation size. The bigger the valuation of a startup company is believed will help the digital economy development. The Ministry of Communication and Informatics of Indonesia has 1000 digital startups program as a step to reach government goal to have more unicorns and be the digital energy of Asia. In response to that, this research aims to understand the systemic impact of Indonesia's startup companies development and their valuation by using system dynamics approach. For that purpose, this paper develops conceptual system dynamics model of startup development and valuation.
{"title":"Model Conceptualization on Startup Company Development and Valuation in Indonesia","authors":"Dela Natalia Malau, Andri D. Setiawan, A. Hidayatno","doi":"10.1109/ICIEA49774.2020.9102089","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102089","url":null,"abstract":"Indonesia's digital economy has shown a high growth of startup companies. This phenomenon is supported by large population where the number of mobile phone users have reached a hundred million. The number of startup companies in Indonesia reached 2143 in 2019. However, 93% of them are small startups. The leveling of the startup company is measured by its valuation size. The bigger the valuation of a startup company is believed will help the digital economy development. The Ministry of Communication and Informatics of Indonesia has 1000 digital startups program as a step to reach government goal to have more unicorns and be the digital energy of Asia. In response to that, this research aims to understand the systemic impact of Indonesia's startup companies development and their valuation by using system dynamics approach. For that purpose, this paper develops conceptual system dynamics model of startup development and valuation.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"37 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":"124947529","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/ICIEA49774.2020.9102002
Pascal Becker, C. Roth, A. Roennau, R. Dillmann
The use of additive manufacturing is growing, especially in the small and medium sized enterprise sector. Still, the print process and its quality is prone to errors. Though there exist a variety of visual detection methods for additive manufacturing, acoustic ones are rare to find. This approach will serve as a method to detect acoustic cues and errors of a Fused Deposition Modeling printer. We propose a machine learning system detecting flaws and errors of a printer with varying difficulty. Regarding the first challenge, which is recording audio data, a microphone is attached close to the extruder of a printer. Since there is no public available data samples are recorded and annotated. To guarantee variety of the samples and more data different methods of data augmentation are applied. Mel-frequency cepstral coefficients and Mel filterbank energies are extracted from the recorded and augmented data to be used as features. A Long Short- Term Memory model was trained and validated with multiple classes of relevant sounds during 3d printing.
{"title":"Acoustic Anomaly Detection in Additive Manufacturing with Long Short-Term Memory Neural Networks","authors":"Pascal Becker, C. Roth, A. Roennau, R. Dillmann","doi":"10.1109/ICIEA49774.2020.9102002","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102002","url":null,"abstract":"The use of additive manufacturing is growing, especially in the small and medium sized enterprise sector. Still, the print process and its quality is prone to errors. Though there exist a variety of visual detection methods for additive manufacturing, acoustic ones are rare to find. This approach will serve as a method to detect acoustic cues and errors of a Fused Deposition Modeling printer. We propose a machine learning system detecting flaws and errors of a printer with varying difficulty. Regarding the first challenge, which is recording audio data, a microphone is attached close to the extruder of a printer. Since there is no public available data samples are recorded and annotated. To guarantee variety of the samples and more data different methods of data augmentation are applied. Mel-frequency cepstral coefficients and Mel filterbank energies are extracted from the recorded and augmented data to be used as features. A Long Short- Term Memory model was trained and validated with multiple classes of relevant sounds during 3d printing.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"32 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":"116127986","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/ICIEA49774.2020.9102012
Ruolan Zeng, Mengke Yang, Xiaoguang Zhou
With the rapid development of express logistics industry, the demand of logistics is extremely scattered in China, and joint distribution may become an effective way to solve this problem. At the same time, data shows that problems often occur at the terminal process in urban distribution, which gradually arouse the industries' attention. The construction of public service station in terminal distribution can effectively ensure the stable operation of terminal distribution network. However, at present, domestic and foreign scholars have less research on the location of the terminal service station of joint distribution, and seldom consider the personalized time demand of the terminal customers. Therefore, this paper sets up a double-objectives terminal public service station location model which integrates the personalized customer satisfaction and total cost, and makes a specific empirical analysis to verify the feasibility of the model, which may provide decision-making basis the joint distribution alliance when locating its terminal service stations.
{"title":"A Double-Objectives Location Model of Terminal Service Station under Joint Distribution in Urban Delivery","authors":"Ruolan Zeng, Mengke Yang, Xiaoguang Zhou","doi":"10.1109/ICIEA49774.2020.9102012","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102012","url":null,"abstract":"With the rapid development of express logistics industry, the demand of logistics is extremely scattered in China, and joint distribution may become an effective way to solve this problem. At the same time, data shows that problems often occur at the terminal process in urban distribution, which gradually arouse the industries' attention. The construction of public service station in terminal distribution can effectively ensure the stable operation of terminal distribution network. However, at present, domestic and foreign scholars have less research on the location of the terminal service station of joint distribution, and seldom consider the personalized time demand of the terminal customers. Therefore, this paper sets up a double-objectives terminal public service station location model which integrates the personalized customer satisfaction and total cost, and makes a specific empirical analysis to verify the feasibility of the model, which may provide decision-making basis the joint distribution alliance when locating its terminal service stations.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"49 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":"116381580","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/ICIEA49774.2020.9102113
Constantin Deneke, Keno Moenck, Thorsten Schüppstuhl
The introduction of digitalization technologies and methods into existing industrial processes can be seen in all industry sectors. The goal is to increase efficiency and productivity. In the aircraft industry, processes are still marked by paper-based documentation and a lack of digitalized data. This is especially the case in the planning of aircraft cabin maintenance, repair and overhaul (MRO). This causes regularly unexpected problems during MRO tasks and an extension of costly aircraft ground times. This paper describes a concept of increasing the planning reliability by implementing Augmented Reality (AR) into existing processes as a digitalization technology for the purpose of data acquisition. For this, the particular challenges of the addressed application need to be taken into account. The paper also describes a developed software tool. This tool is designed to make the acquired data accessible to planning engineers.
{"title":"Augmented Reality Based Data Improvement for the Planning of Aircraft Cabin Conversions","authors":"Constantin Deneke, Keno Moenck, Thorsten Schüppstuhl","doi":"10.1109/ICIEA49774.2020.9102113","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102113","url":null,"abstract":"The introduction of digitalization technologies and methods into existing industrial processes can be seen in all industry sectors. The goal is to increase efficiency and productivity. In the aircraft industry, processes are still marked by paper-based documentation and a lack of digitalized data. This is especially the case in the planning of aircraft cabin maintenance, repair and overhaul (MRO). This causes regularly unexpected problems during MRO tasks and an extension of costly aircraft ground times. This paper describes a concept of increasing the planning reliability by implementing Augmented Reality (AR) into existing processes as a digitalization technology for the purpose of data acquisition. For this, the particular challenges of the addressed application need to be taken into account. The paper also describes a developed software tool. This tool is designed to make the acquired data accessible to planning engineers.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"1 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":"114439167","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/ICIEA49774.2020.9101922
Marvin I. Noroña, T. Louisse, L. Evangelista
Historically, the trend is increasing in terms of the number of complaints towards the quality of service that the Philippine government agencies provide. Even though several studies and proposals were implemented with regard to this issue, gaps between the service providers and its customers are still evident. This study targets to analyze these gaps and verify specific relationship among its variables, particularly for the top non-performing agency in the country. The framework was developed through systematic verification of data in which its source of information is mostly from responses of the employees and customers as well as through confirmation on related references. As a result, the level of customer satisfaction was found to be highly dependable with the agency's ambiance, working hours, queue of transactions, and skill of the people.
{"title":"An Ergonomics- ServQual Approach in Enhancing the Service Delivery Performance for a Government Agency in the Philippines","authors":"Marvin I. Noroña, T. Louisse, L. Evangelista","doi":"10.1109/ICIEA49774.2020.9101922","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101922","url":null,"abstract":"Historically, the trend is increasing in terms of the number of complaints towards the quality of service that the Philippine government agencies provide. Even though several studies and proposals were implemented with regard to this issue, gaps between the service providers and its customers are still evident. This study targets to analyze these gaps and verify specific relationship among its variables, particularly for the top non-performing agency in the country. The framework was developed through systematic verification of data in which its source of information is mostly from responses of the employees and customers as well as through confirmation on related references. As a result, the level of customer satisfaction was found to be highly dependable with the agency's ambiance, working hours, queue of transactions, and skill of the people.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"16 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":"129784899","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/ICIEA49774.2020.9102050
Kamchai Thaichaiyon, S. Butdee
Inventory management for automotive supply chain environment is complicated and uncertain due to fluctuated demands. A 1st tier company performed inventory itself collaborative with subcontractors. Traditionally, inventory is stocked by the mother company. Presently, each subcontractor must manage such inventory by themselves and they are required to evaluate their performance in order to make sure they can serve the uncertain demands. This paper proposes a novel technique for assisting a supply chain manager to make effective decision making to select suitable subcontractors to achieve competitiveness using TOPSIS and Fuzzy Analytic hierarchy process (FAHP).
{"title":"Uncertain Inventory Management Using TOPSIS and FAHP Method in Automotive Supply Chain","authors":"Kamchai Thaichaiyon, S. Butdee","doi":"10.1109/ICIEA49774.2020.9102050","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102050","url":null,"abstract":"Inventory management for automotive supply chain environment is complicated and uncertain due to fluctuated demands. A 1st tier company performed inventory itself collaborative with subcontractors. Traditionally, inventory is stocked by the mother company. Presently, each subcontractor must manage such inventory by themselves and they are required to evaluate their performance in order to make sure they can serve the uncertain demands. This paper proposes a novel technique for assisting a supply chain manager to make effective decision making to select suitable subcontractors to achieve competitiveness using TOPSIS and Fuzzy Analytic hierarchy process (FAHP).","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"47 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":"128326942","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/ICIEA49774.2020.9101992
M. Riesener, C. Dölle, J. Tittel, G. Schuh, Maximilian Reuß, E. Rebentisch
Strategy is the fundamental means to plan and obtain a competitive advantage. Studies suggest that an extensive gap exists between strategy intent and strategy implementation outcomes, indicated by a low rate of achieved objectives. Especially manufacturing companies face a situation of shorter strategy-to-implementation timespans. Frontloading and the customer-induced demand for continuous innovation lead to shorter product life cycles and force manufacturing companies to adapt quickly. Whereas the number of tools and models for strategy design and good implementation practices is vast, attempts to quantify and anticipate strategy implementation failure risk are almost nonexistent. This paper introduces a new model based on quantifiable and easily available indicators for a topic that remains otherwise solely qualitatively addressed in literature. Following a use-case adapted selection of indicators, a methodology for analysis and prediction is proposed using logistic regression analysis. The model's performance is tested and validated with publicly available data from 14 car manufacturers over 20 years. The results show a statistically significant predictive power for strategy implementation failures and suggest the future use of the model as a tool in strategy implementation processes.
{"title":"Development of an Indicator Model for Anticipation of Strategy Implementation Failures","authors":"M. Riesener, C. Dölle, J. Tittel, G. Schuh, Maximilian Reuß, E. Rebentisch","doi":"10.1109/ICIEA49774.2020.9101992","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101992","url":null,"abstract":"Strategy is the fundamental means to plan and obtain a competitive advantage. Studies suggest that an extensive gap exists between strategy intent and strategy implementation outcomes, indicated by a low rate of achieved objectives. Especially manufacturing companies face a situation of shorter strategy-to-implementation timespans. Frontloading and the customer-induced demand for continuous innovation lead to shorter product life cycles and force manufacturing companies to adapt quickly. Whereas the number of tools and models for strategy design and good implementation practices is vast, attempts to quantify and anticipate strategy implementation failure risk are almost nonexistent. This paper introduces a new model based on quantifiable and easily available indicators for a topic that remains otherwise solely qualitatively addressed in literature. Following a use-case adapted selection of indicators, a methodology for analysis and prediction is proposed using logistic regression analysis. The model's performance is tested and validated with publicly available data from 14 car manufacturers over 20 years. The results show a statistically significant predictive power for strategy implementation failures and suggest the future use of the model as a tool in strategy implementation processes.","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":"125124994","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/ICIEA49774.2020.9101933
Zhi Cheng, Wenyu Wu, Chengqi Xue, Ning Song
This is a research report on the improvement of the humanized elements of unmanned system control station design. For this purpose, the first step is to set the ergonomics elements in control station design as user requirements, which are divided into three levels: physiological needs, psychological needs, and ergonomic needs. Besides, by further proposing analytical method based on user requirements priorities of AHP, the authors of the present report employ HOQ combining user requirements and their corresponding ergonomic design characteristics to solve relative design problems through TRIZ theory related methods. Finally, the feasibility and effectiveness of the above techniques and methods are verified by use of examples.
{"title":"Research on Humanized Design of Unmanned System Control Station Based on TRIZ and QFD","authors":"Zhi Cheng, Wenyu Wu, Chengqi Xue, Ning Song","doi":"10.1109/ICIEA49774.2020.9101933","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101933","url":null,"abstract":"This is a research report on the improvement of the humanized elements of unmanned system control station design. For this purpose, the first step is to set the ergonomics elements in control station design as user requirements, which are divided into three levels: physiological needs, psychological needs, and ergonomic needs. Besides, by further proposing analytical method based on user requirements priorities of AHP, the authors of the present report employ HOQ combining user requirements and their corresponding ergonomic design characteristics to solve relative design problems through TRIZ theory related methods. Finally, the feasibility and effectiveness of the above techniques and methods are verified by use of examples.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"1 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":"129206394","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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