International Journal of Computational Intelligence Systems
Volume 7, Issue Supplement 2, July 2014
Artificial Intelligence & Industrial Engineering
Chen-Fu Chien, Minqiang Li
Pages: 1 - 2
Yangjian Ji, Tianyin Tang, Chunyang Yu, Guoning Qi
Pages: 3 - 14
With the development of modern technologies and global manufacturing, it becomes more difficult for companies to distinguish themselves from their competitors. In order to keep their competitive advantages, companies must properly position their product families by offering a right product portfolio...
Xiao-Dan Wu, Mohammad T. Khasawneh, Dian-Min Yue, Ya-Nan Chu, Zhan-Ting Gao
Pages: 15 - 25
Effective outpatient appointment scheduling aims at reducing patient waiting time and operational costs, and improving resource utilization, especially given the stochastic nature of patient arrivals. Unlike many western developed countries, China faces challenges due to imperfect appointment systems...
4. A QoS-oriented Web service composition approach based on multi-population genetic algorithm for Internet of things
Qian Li, Runliang Dou, Fuzan Chen, Guofang Nan
Pages: 26 - 34
Internet of things (IoT) will create new opportunities to build applications that better integrate real-time state of the industry. With Web services accomplishing similar function proliferated, industrial enterprises have to choose appropriate Web services according Quality of Service (QoS) properties....
5. Adaptive generalized ensemble construction with feature selection and its application in recommendation
Jin Tian, Nan Feng
Pages: 35 - 43
This paper presents an adaptive generalized ensemble method with refined feature selection strategy and self-adjusted mechanism for ensemble size. The coevolutionary algorithm is introduced to optimize the ensemble and the feature weighting. There are two stages in the proposed method. In the coevolutionary...
Soemon Takakuwa, Run Zhao, Hikaru Ichimura
Pages: 44 - 51
Material flow cost accounting (MFCA), an environmental management accounting method, is adopted to reduce the amount of wastes that result from manufacturing activities. In this paper, MFCA is introduced to study the environmental impacts of production lot-size determination by structuring simulation...
7. A data mining approach for analyzing semiconductor MES and FDC data to enhance overall usage effectiveness (OUE)
Chen-Fu Chien, Alejandra Campero Diaz, Yu-Bin Lan
Pages: 52 - 65
Wafer fabrication is a complex and lengthy process that involves hundreds of process steps with monitoring numerous process parameters at the same time for yield enhancement. Big data is automatically collected during manufacturing processes in modern wafer fabrication facility. Thus, potential useful...
8. A virtual metrology approach for maintenance compensation to improve yield in semiconductor manufacturing
Kuo-Yi Lin, Chia-Yu Hsu, Hui-Chun Yu
Pages: 66 - 73
Process condition was changed by preventative maintenance that may lead to the inconsistency of process output. In practice, process engineers have difficulties to discover the inconsistency that the defect wafer may have been produced before the next measurement. This study proposes a virtual metrology...
9. Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement
Runliang Dou, Chao Zong
Pages: 74 - 84
With significant impact on the personalized product configuration, Interactive Genetic Algorithm is introduced to respond to customer requirement. For the user could conveniently design their favorite product and interact with the system by a graphical interface, the car console conceptual design system...
10. Demand forecasting procedure for short life-cycle products with an actual food processing enterprise
Pages: 85 - 92
A procedure of demand forecasting using data mining techniques is proposed to forecast the sales amount of new short life-cycle products for an actual food processing enterprise. The enterprise annually produces 100∼150 kinds of new items with short life-cycle between one week and three months to...