Variable-fidelity (VF) approximation models are wildly used to replace computational expensive simulation models in complex engineering designs. In this paper, a design space reduction variable-fidelity metamodeling (DSR-VFM) approach is proposed. In the proposed DSR-VFM, addition scaling Kriging (ASK) is chosen as the approximation model and self-organizing maps (SOM) is adopt to reduce the design space and select the key areas. Then new sample points are selected though the maximum distance method within the key areas and added to the sample set to update the approximate model. A numerical case and the modeling of the drag coefficient of an aircraft are utilized to verify the applicability of the proposed approach.
{"title":"A variable-fidelity modeling method based on self-organizing maps spatial reduction","authors":"P. Jiang, Leshi Shu, Xiangzheng Meng, Qi Zhou, Jiexiang Hu, Junnan Xu","doi":"10.1109/IEEM.2016.7798172","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798172","url":null,"abstract":"Variable-fidelity (VF) approximation models are wildly used to replace computational expensive simulation models in complex engineering designs. In this paper, a design space reduction variable-fidelity metamodeling (DSR-VFM) approach is proposed. In the proposed DSR-VFM, addition scaling Kriging (ASK) is chosen as the approximation model and self-organizing maps (SOM) is adopt to reduce the design space and select the key areas. Then new sample points are selected though the maximum distance method within the key areas and added to the sample set to update the approximate model. A numerical case and the modeling of the drag coefficient of an aircraft are utilized to verify the applicability of the proposed approach.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117231233","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797994
Soh Sakurai, T. Nishi
In this paper, we propose a game theoretical analysis of supply chain configurations for two manufacturers and two retailers. The supply chain configuration is the structure of the leader-follower relationship in the decentralized decision making of pricing decisions for manufacturers and retailers. The effects of the supply chain configurations on the total profit are investigated. The closed-form equilibrium solutions are derived through the backward induction. The results demonstrate that the change of leader-follower relationship in the supply chain configuration according to the situations enable us to obtain higher total profit.
{"title":"Game theoretical analysis of supply chain configurations","authors":"Soh Sakurai, T. Nishi","doi":"10.1109/IEEM.2016.7797994","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797994","url":null,"abstract":"In this paper, we propose a game theoretical analysis of supply chain configurations for two manufacturers and two retailers. The supply chain configuration is the structure of the leader-follower relationship in the decentralized decision making of pricing decisions for manufacturers and retailers. The effects of the supply chain configurations on the total profit are investigated. The closed-form equilibrium solutions are derived through the backward induction. The results demonstrate that the change of leader-follower relationship in the supply chain configuration according to the situations enable us to obtain higher total profit.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121345614","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798125
Dongdong Li, B. Xiao, Haiping Huang, Aoqing Wang
The traditional method to predict the demand of aircraft follow-up spare has some problems including being short of adapting to the noise data. It leads to local optimum easily and low accuracy of prediction. So a method based on discrete particle swarm optimization and RBF neural network to predict demand for aircraft follow-up spare is put forward. Firstly, the data of the aircraft follow-up spare is reduced by discrete particle swarm optimization algorithm to get the key factors affecting the demand of spare. Then the RBF neural network is built on the key factors to predict the demand of spare. The experimental results show that this method can ensure the rationality of the input parameters and provide a new way of the neural network to predict the demand of the aircraft follow-up spare.
{"title":"A method of predicting demand for aircraft follow-up spare based on discrete particle swarm optimization algorithm and RBF neural network","authors":"Dongdong Li, B. Xiao, Haiping Huang, Aoqing Wang","doi":"10.1109/IEEM.2016.7798125","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798125","url":null,"abstract":"The traditional method to predict the demand of aircraft follow-up spare has some problems including being short of adapting to the noise data. It leads to local optimum easily and low accuracy of prediction. So a method based on discrete particle swarm optimization and RBF neural network to predict demand for aircraft follow-up spare is put forward. Firstly, the data of the aircraft follow-up spare is reduced by discrete particle swarm optimization algorithm to get the key factors affecting the demand of spare. Then the RBF neural network is built on the key factors to predict the demand of spare. The experimental results show that this method can ensure the rationality of the input parameters and provide a new way of the neural network to predict the demand of the aircraft follow-up spare.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127271430","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797851
Y. Liang
The bullwhip effect denotes that an augment in demand variability on the supply chain can enlarge its influences through an undertaking's supply chain. The question of forecasting is very important in upstream industrial background because the upstream partners look to be decreased from downstream consumer demand. The supply chain forecasting system must ponder the volatility of demand. The purpose of this study is to supply the volatility models for supply chain forecasting. This study uses the model for production forecasting of Taiwanese TFT-LCD industry. The results illustrate that the proposed volatility GARCH models a meliorate the prediction accuracy for production forecasting in the supply chain.
{"title":"Applying the volatility models for supply chain forecasting: The case of the Taiwanese TFT-LCD industry","authors":"Y. Liang","doi":"10.1109/IEEM.2016.7797851","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797851","url":null,"abstract":"The bullwhip effect denotes that an augment in demand variability on the supply chain can enlarge its influences through an undertaking's supply chain. The question of forecasting is very important in upstream industrial background because the upstream partners look to be decreased from downstream consumer demand. The supply chain forecasting system must ponder the volatility of demand. The purpose of this study is to supply the volatility models for supply chain forecasting. This study uses the model for production forecasting of Taiwanese TFT-LCD industry. The results illustrate that the proposed volatility GARCH models a meliorate the prediction accuracy for production forecasting in the supply chain.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116426869","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797959
K. Ji, J. Dang, K. Nawata
This paper investigates how innovation contributes to export growth by modelling the link between the stock of past patent applications and values of exported goods. Using a rich set of firm-level trade data from China (2000 to 2006) and patent application data, the present study finds that past patent applications are positively correlated with export growth in both static OLS and fixed effect panel regressions. In addition, the result shows that special economic zones in China strengthen this link between innovation and export growth in that firms located in special economic zones show faster growth in exports. As for types of trade, firms participating in processing manufacturing enjoy higher export growth incurred by past innovations, and the result is robust in both OLS and panel settings.
{"title":"Does innovation promote exports? evidence from Chinese manufacturing firms","authors":"K. Ji, J. Dang, K. Nawata","doi":"10.1109/IEEM.2016.7797959","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797959","url":null,"abstract":"This paper investigates how innovation contributes to export growth by modelling the link between the stock of past patent applications and values of exported goods. Using a rich set of firm-level trade data from China (2000 to 2006) and patent application data, the present study finds that past patent applications are positively correlated with export growth in both static OLS and fixed effect panel regressions. In addition, the result shows that special economic zones in China strengthen this link between innovation and export growth in that firms located in special economic zones show faster growth in exports. As for types of trade, firms participating in processing manufacturing enjoy higher export growth incurred by past innovations, and the result is robust in both OLS and panel settings.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122436854","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797871
S. F. Wong, B. Lin, Z. Luo, Y. Cong
With the population ageing, it is a critical factor in the public transportation to erect a physical setting that fosters independent living. However, none of research studies designed a barrier free car seat device for supporting elderly and disabilities ingress or egress the vehicle, as well as sit to stand movement. In this present work, it applied ergonomics concept to design intelligent barrier free car seat device. The device is controlled by mobile application to facilitate them. Moreover, 22 healthy subjects volunteered the effect of standup assistant function experiment. The result indicates this function helps sit-to-stand sequences compared with normal movement.
{"title":"Intelligent car seat design with ingress, egress and sit-to-stand services","authors":"S. F. Wong, B. Lin, Z. Luo, Y. Cong","doi":"10.1109/IEEM.2016.7797871","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797871","url":null,"abstract":"With the population ageing, it is a critical factor in the public transportation to erect a physical setting that fosters independent living. However, none of research studies designed a barrier free car seat device for supporting elderly and disabilities ingress or egress the vehicle, as well as sit to stand movement. In this present work, it applied ergonomics concept to design intelligent barrier free car seat device. The device is controlled by mobile application to facilitate them. Moreover, 22 healthy subjects volunteered the effect of standup assistant function experiment. The result indicates this function helps sit-to-stand sequences compared with normal movement.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122448709","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7797860
M. F. Lee, W. M. H. Wan Adam
Mental health is always affect the performance of an individual but has never aroused general concern among educator. Therefore, the main objective of this study was to identify the level of mental health between the engineering and non-engineering students, as well as the dominant methods being applied by the students in dealing with mental health problem. A survey has been used as the research design for this study. A total numbers of 450 engineering and non-engineering students were selected as respondents from three technical universities in Malaysia. The DASS-21 inventory and a set of self-developed questionnaire were used as the instrument for this study. The collected data were analyzed by using frequency, percentage, mean score and Mann Whitney U test. The findings showed that there was no significant differences in mental health problem and the selection of methods to overcome mental health problems between engineering and non-engineering students. In conclusion, the parties who play an important role in students' mental health problems should take the proactive action in order to monitor and help those who are facing the mental health problem.
{"title":"A comparison study of methods to solve the mental health problem between the engineering and non-engineering students","authors":"M. F. Lee, W. M. H. Wan Adam","doi":"10.1109/IEEM.2016.7797860","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7797860","url":null,"abstract":"Mental health is always affect the performance of an individual but has never aroused general concern among educator. Therefore, the main objective of this study was to identify the level of mental health between the engineering and non-engineering students, as well as the dominant methods being applied by the students in dealing with mental health problem. A survey has been used as the research design for this study. A total numbers of 450 engineering and non-engineering students were selected as respondents from three technical universities in Malaysia. The DASS-21 inventory and a set of self-developed questionnaire were used as the instrument for this study. The collected data were analyzed by using frequency, percentage, mean score and Mann Whitney U test. The findings showed that there was no significant differences in mental health problem and the selection of methods to overcome mental health problems between engineering and non-engineering students. In conclusion, the parties who play an important role in students' mental health problems should take the proactive action in order to monitor and help those who are facing the mental health problem.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114256930","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798107
Zhen Chen, Yaping Li, E. Pan
Burn-in is an effective method to eliminate initial mortality and reduce field failure costs. As many products have been designed to be extremely reliable, traditional burn-in would almost not get a sufficient amount of failure data in a reasonable duration. If the failure associated with a degradation process, degradation-based burn-in can be implemented. Moreover, we hope the quality level of the burnt-in units is still high. On the other hand, an appropriate preventive maintenance policy can improve the operation efficiency of the product, extend the service life and reduce enormous losses brought by failures. Therefore, this research proposes a joint model of degradation-based burn-in, quality and preventive maintenance. The objective of the joint model is to minimize the expected cost per unit time by properly choosing the settings of burn-in and preventive maintenance interval simultaneously under the constraint of availability. A numerical example is presented to illustrate the proposed method.
{"title":"Joint optimization of degradation-based burn-in, quality, and preventive maintenance","authors":"Zhen Chen, Yaping Li, E. Pan","doi":"10.1109/IEEM.2016.7798107","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798107","url":null,"abstract":"Burn-in is an effective method to eliminate initial mortality and reduce field failure costs. As many products have been designed to be extremely reliable, traditional burn-in would almost not get a sufficient amount of failure data in a reasonable duration. If the failure associated with a degradation process, degradation-based burn-in can be implemented. Moreover, we hope the quality level of the burnt-in units is still high. On the other hand, an appropriate preventive maintenance policy can improve the operation efficiency of the product, extend the service life and reduce enormous losses brought by failures. Therefore, this research proposes a joint model of degradation-based burn-in, quality and preventive maintenance. The objective of the joint model is to minimize the expected cost per unit time by properly choosing the settings of burn-in and preventive maintenance interval simultaneously under the constraint of availability. A numerical example is presented to illustrate the proposed method.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114283585","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798116
P. Wen, D. Zhou, M. Wu, S. Yi
Hybrid methods of fuzzy clustering and particle swarm optimization (PSO) are important techniques for image segmentation. The spatial credibilistic clustering (SCC) shows better performance than traditional fuzzy clustering, because of the “typicality” represented by credibility memberships degree is much more accurate than the “sharing” represented by probability membership degree to characterize the relationships between pixels and classes of images. Current integrated patterns of fuzzy clustering and PSO haven't made full use of both advantages. Therefore, main integrated forms were investigated and uniformly modeled by taking SCC as example, then a new kind of integrated pattern and algorithm was put forth, which integrates evaluation functions and update equations by introducing a clustering factor. Segmentation experiments validate that the method has better performance on running time and segmentation quality. The presented integrated pattern can be generalized to other hybrid methods of fuzzy clustering and PSO.
{"title":"Hybrid methods of particle swarm optimization and spatial credibilistic clustering with a clustering factor for image segmentation","authors":"P. Wen, D. Zhou, M. Wu, S. Yi","doi":"10.1109/IEEM.2016.7798116","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798116","url":null,"abstract":"Hybrid methods of fuzzy clustering and particle swarm optimization (PSO) are important techniques for image segmentation. The spatial credibilistic clustering (SCC) shows better performance than traditional fuzzy clustering, because of the “typicality” represented by credibility memberships degree is much more accurate than the “sharing” represented by probability membership degree to characterize the relationships between pixels and classes of images. Current integrated patterns of fuzzy clustering and PSO haven't made full use of both advantages. Therefore, main integrated forms were investigated and uniformly modeled by taking SCC as example, then a new kind of integrated pattern and algorithm was put forth, which integrates evaluation functions and update equations by introducing a clustering factor. Segmentation experiments validate that the method has better performance on running time and segmentation quality. The presented integrated pattern can be generalized to other hybrid methods of fuzzy clustering and PSO.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114432929","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 : 2016-12-01DOI: 10.1109/IEEM.2016.7798084
S. S. Y. Ng, W. Zhu, W. W. S. Tang, L. C. H. Wan, A. Y. W. Wat
Two open source distributed machine learning/deep learning platforms, namely H2O and Apache SINGA, compared their deep learning performances using multilayer perceptron on the classic MNIST database for hand written digits recognition. However, the results reported by both parties differ and neither of them can repeat the results reported by the other side. This paper is an independent study of the performances of H2O and SINGA on deep learning, considering both testing accuracies and time required for model training. We reproduced the performance benchmark, then we designed our experiments to test the performances using a 1-node and a 4-node cluster. We repeated the test for multiple runs and checked the difference in accuracy with a paired t-test. Our study showed that H2O generated stable and accurate performance. SINGA could be trained more efficiently in a short time but the accuracy deviates a lot from the expected if training details were changed.
{"title":"An independent study of two deep learning platforms - H2O and SINGA","authors":"S. S. Y. Ng, W. Zhu, W. W. S. Tang, L. C. H. Wan, A. Y. W. Wat","doi":"10.1109/IEEM.2016.7798084","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798084","url":null,"abstract":"Two open source distributed machine learning/deep learning platforms, namely H2O and Apache SINGA, compared their deep learning performances using multilayer perceptron on the classic MNIST database for hand written digits recognition. However, the results reported by both parties differ and neither of them can repeat the results reported by the other side. This paper is an independent study of the performances of H2O and SINGA on deep learning, considering both testing accuracies and time required for model training. We reproduced the performance benchmark, then we designed our experiments to test the performances using a 1-node and a 4-node cluster. We repeated the test for multiple runs and checked the difference in accuracy with a paired t-test. Our study showed that H2O generated stable and accurate performance. SINGA could be trained more efficiently in a short time but the accuracy deviates a lot from the expected if training details were changed.","PeriodicalId":114906,"journal":{"name":"2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116823772","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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