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姓名 莊英慎(Ying-Shen Juang)  查詢紙本館藏   畢業系所 工業管理研究所
論文名稱 具模糊推論與遺傳尋優的整合式顧客服務資訊系統
(An Integrated Customer Service Information System with Fuzzy Inference and Genetic Optimization)
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摘要(中) 有效且快速地反應顧客需求是企業績效的主要指標。無法滿足顧客之需求隱含企業可能的作業缺失,這些缺失將損害顧客權益和企業信譽。工具機產業中處理顧客需求之方式多使用傳統人工主觀判定,然而現代企業若能重視人力資源制度,將可提升競爭優勢。況且教育訓練是提升員工作業能力之常用方式,若訓練課程能周延建構,則訓練效果將可提升,使員工增進個人能力,進而提升顧客滿意水準。然而,建構與安排訓練課程是一項沈重且困難之業務,一般企業雖投入大量資源,然其效果卻相當有限。
本研究透過顧客需求以及服務能力分析,提出一種改善工具機產業的顧客服務程序的整合式顧客服務資訊系統。此一系統包含兩次系統,分別為顧客需求資訊系統,以及電腦輔助訓練系統。前者融合模糊推論和專家系統的優點,能處理多種顧客需求;後者使用非線性的最佳化模式以克服人工安排訓練課程之缺點,並以遺傳演算法求解課程安排數學模式。本研究提出之整合式概念與資訊系統架構,能提供一分析顧客需求之系統化方法,並使工具機產業之人員訓練作業更具效率與效果。
摘要(英) Efficient and effective response to the requirements of customers is a major performance indicator. Failure to satisfy customer requirements implies operational weaknesses in a company. These weaknesses will damage both the rights of customers and the reputation of the company. The traditional method of handling customer requirement for a machine tool manufacturer was dominated by manual process and subjective decision. Besides, an outstanding human resources system is one of the important competitive factors in modern enterprises. Employee training is a frequently used method for promoting the working capabilities for better human resources. Employee training programs cultivate personnel capabilities for enterprise operation. The training effect can be dramatically enhanced if curriculum is well designed and arranged. However, arranging curriculum is a difficult and lengthy task which enterprises traditionally devote a large amount of human and material resources to.
In this study, the processes of customer service were improved by analyzing customer requirement and enhancing service workforce. An integrated customer service information system (ICSIS) for machine tool manufacturers was analyzed, constructed and implemented. The ICSIS consists of two major subsystems, namely Customer Requirement Information System (CRIS) and Computer Aided Training System (CATS). The CRIS, integrating rule-based fuzzy inference and expert systems, is capable of handling various customer requirements. The CATS, utilizing non-linear optimization models, overcomes the pitfalls of manual arrangement of training curriculum. Genetic algorithms were utilized in the CATS as solution procedures for solving the optimization model. The ICSIS supports both customers and service personnel in providing a systematic way of analyzing customer requirements and facilitating personnel training for machine tool industry.
關鍵字(中) ★ 顧客需求
★ 課程安排與優化
★ 電腦輔助訓練系統
★ 模糊推論
★ 遺傳演算法
★ 專家系統
關鍵字(英) ★ Customer Requirements
★ Genetic Algorithms
★ Expert Systems
★ Fuzzy Inference
★ Computer Aided Training System
★ Curriculum Arrangement and Optimization
論文目次 CHINESE ABSTRACT i
ENGLISH ABSTRACT ii
ACKNOWLEDGEMENTS iv
TABLE OF CONTENTS v
LIST OF FIGURES vii
LIST OF TABLES viii
CHAPTER 1 INTRODUCTION 1
CHAPTER 2 LITERATURE REVIEW 6
2.1 Customer Requirement and Satisfaction 6
2.2 Employee Education and Training 7
2.3 Scheduling and Arrangement of Course 8
2.4 Computer Technique for Education and Training 10
2.5 Fuzzy and Expert Systems 12
2.6 Genetic Algorithms 13
CHAPTER 3 INTEGRATED METHODOLOGY 16
3.1 General Concepts 16
3.2 Customer Requirement Analysis 17
3.2.1 Fuzzy Inference 17
3.2.2 Expert Systems 24
3.3 Training Request Mapping 29
3.3.1 Service Demand Analysis 29
3.3.2 Employee Proficiency Evaluation 29
3.3.3 Training Request Fulfillment 29
3.4 Arrangement Model Construction 31
3.4.1 Course Structure Analysis 31
3.4.2 Optimal Course Arrangement Modeling 34
3.4.3 Solution Procedures 39
CHAPTER 4 SYSTEM ANALYSIS AND DESIGN 48
4.1 Demand Analysis 48
4.1.1 Machine Tool Industry 48
4.1.2 Essential Elements of the Interview 49
4.1.3 Practical Operation Process 50
4.1.4 Reengineered Process 52
4.2 System Analysis 53
4.2.1 System Architecture 53
4.2.2 System Flow 55
4.3 System Design and Implementation 58
4.3.1 Operation Configuration 58
4.3.2 Database Design 58
4.3.3 Interface Design 61
CHAPTER 5 CONCLUSION 63
REFERENCES 65
參考文獻 Alvarez-Valdes, R., Enric, C., & Tamarit, J.M. (2002). Design and implementation of a course scheduling system using tabu search. European Journal of Operational Research, 137, 512-523.
Arroyo, J.E.C., & Armentano, V.A. (2005). Genetic local search for multi-objective flowshop scheduling problems. European Journal of Operational Research, 167, 717-738.
Baker, F.B, (1978). Computer-managed instruction: Theory and practice. Englewood Cliffs, NJ: Educational Technology Publications.
Berkan, R.C, & Trubatch, S.L. (1997). Fuzzy systems design principles: Building fuzzy if-then rule bases. NJ: Wiley-IEEE Press.
Bravoco, R, & Yadav, S. (1985). Methodology to model functional structure of an organization. Computers in Industry, 6, 345-361.
Chang, S.-C., & Chung, Y.-C. (2005). From timetabling to train regulation: A new train operation model. Information and Software Technology, 47, 575-585.
Chen, C.-Y. (2001). Framework and circuitry design for a fuzzy logic controller. Unpublished master’s thesis, National Cheng-Kung University, Taiwan.
Chen, G., & Pham, T.T. (2000). Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems. FL: CRC press.
Chi, Y.-C., & Zhang, X.-D. (1999). Fuzzy Set Theory and Applications. Taipei: Ruling Publishing Co. (in Chinese)
Chiou, T.-Y. (2002). Application of genetic algorithms on curriculum scheduling problems. Unpublished master’s thesis, Department of Mathematics, National Chung-Zheng University, Taiwan. (in Chinese)
Cloete, E. (2001). Electronic education system model. Computers and Education, 36(2), 171-182.
Cristo, B. (1997). An experimental study of service recovery options. International Journal of Service Industry Management, 8, 110-130.
Day, R.L. (1980). Research perspectives on consumer complaining behavior. Theoretical Development in Marketing, 211-215.
Deb, K. (1991). Optimal design of a welded beam via genetic algorithms. American Institute of Aeronautics and Astronautics (AIAA) Journal, 29, 11, 2013-2015.
DeJong, K.A. (1975). An Analysis of the Behavior on Genetic Adaptive System. Dissertation Abstracts International, University Microfilms, Michigan, 41, 9, 3503B.
Elegbede, C., & Adjallah, K. (2003). Availability allocation to repairable systems with genetic algorithms: A multi-objective formulation. Reliability Engineering and System Safety, 82, 319-330.
Fang, X.D. (1995). Expert system-supported fuzzy diagnosis of finish-turning process states. International Journal of Machine Tools and Manufacture, 35(6), 913-924.
Farley, F. (1981). Basic process individual differences: A biologically based theory of individualization for cognitive, affective and creative outcome. In F.H. Farley & N.J. Gordon (Eds.), Psychology and education: The state of the union. CA: McCutchan, 9-29.
Gable, A., & Page, C.V. (1980). The use of artificial intelligence techniques in computer-assisted instruction: An overview. In D.F. Walker & R.D. Hess (Eds.), Instruction Software. Belmont, CA: Wadswork, 257-268.
Goldberg, D.E. (1989). Genetic algorithms in search, optimization, and machine learning. NY: Addison-Wesley Publishing Company Inc.
Grefenstette, J.J. (1986). Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 16, 1, 122-128.
Gronroos, C. (1988). Service quality: The six criteria of good perceived service quality. Review of Business, 9, 10-13.
Hart, W.L., Heskett, J.L., & Sasser, W.E. (1990). The profitable art of service recovery. Harvard Business Review, 68, 148-156.
Heskett, J.L., Jones, T.O., Loveman, G.W., Sasser, W.E., & Schlesinger, L.A. (1994). Putting the service-profit chain to work. Harvard Business Review, 72, 164-174.
Ho, W.-J. (1994). Intelligent instruction system. Information and Education, 4-9.
Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press.
House, R.J. (1967). T-group education and leadership effectiveness: A review of the empirical literature and a critical evaluation. Personal Psychology, 20, 1-32.
Jacoby, J., & Jaccard, J.J. (1981). The source, meaning and validity of consumer complaining behavior: A psychological review. Journal of Retailing, 57, 4-24.
Javadpour, R., & Knapp, G.M. (2003). A fuzzy neural network approach to machine condition monitoring. Computers & Industrial Engineering, 45, 323-330.
Joentgen, A., Mikenina, L., Weber, R., Zeugner, A., & Zimmermann, H.J. (1999). Automatic fault detection in gearboxes by dynamic fuzzy data analysis. Fuzzy Sets and Systems, 105, 123-132.
Juang, C.-B. (1996). Evaluation of intelligent instruction system. Audio-Video Education Bimonthly. (in Chinese)
Juang, Y.-S., Lin, S.-S., & Kao, H.-P. (2006). An integrated information system for customer requirement analysis. International Journal of Applied Management and Technology, 4, 1, 199-216.
Juang, Y.-S., Lin, S.-S., & Kao, H.-P. (2007a). An Adaptive Scheduling System with Genetic Algorithms for Arranging Employee Training Programs. Expert Systems with Applications, 33, 3, 642-651.
Juang, Y.-S., Lin, S.-S., & Kao, H.-P. (2007b). Design and implementation of a fuzzy inference system for supporting customer requirements. Expert Systems with Applications, 32, 3, 868-878.
Juang, Y.-S., Lin, S.-S., & Kao, H.-P. (2008). A knowledge management system for series-parallel availability optimization and design. Expert Systems with Applications, 34, 1, 181-193.
Kalakota, R., & Robinson, M. (1999). E-business roadmap for success, NJ: Addison-Wesley.
Krishnakumar, K., & Goldberg, D. (1992). Control system optimization using genetic algorithms. Journal of Guidance, Control, and Dynamics, 15, 3, 735-740.
Kumral, M. (2005). Reliability-based optimisation of a mine production system using genetic algorithms, Journal of Loss Prevention in the Process Industries, 18, 186-189.
Lapa, C.M.F., Pereira, C.M., & de Barros, M.P. (2006). A model for preventive maintenance planning by genetic algorithms based in cost and reliability. Reliability Engineering and System Safety, 91, 233-240.
Leiblum, M.D. (1982). Computer-managed instruction: An examplanation and overviews, AEDS Journal, 15, 3, 126-142.
Lewis, R.C. (1982). Consumers complaint: What happens when business responds? Proceedings of Consumer Satisfaction/Dissatisfaction and Complaining Behavior Conference, 88-94.
Liang, C.-Y. (1994). Professional training of business employees: A perspective of future technologies. Instruction Technology and Media, Chinese Association of Audio-Video Education, 41-46. (in Chinese)
Lin, C.-Y., & Hajela, P. (1992). Genetic algorithms in optimization problems with discrete and integer design variables. Engineering Optimization, 19, 309-327.
Lin, P.-S. (1998). Applying expert systems in fault diagnosis. Unpublished master’s thesis, National Taiwan University, Taiwan. (in Chinese)
Lin, S.-L. (1994). Fostering professional business training employees. Instruction Technology and Media, Chinese Association of Audio-Video Education, 32-40. (in Chinese)
Lin, S.-S, Wu, M.-Y., Perng, C., & Tsai, J.-T. (1998). Application of fuzzy set theory on course selection in employee training program. Proceedings of the Sixth Conference on Fuzzy Theory and Its Application, Taichung, Taiwan, Dec. 11-12. (in Chinese)
Lin, S.-S. (1995). Application of genetic algorithms in gear design. Proceedings of the 8th Conference on Automation Technology, Chungli, Taiwan, 351-359.
Lin, S.-S. (1998). Computer managed training systems for sales and service personnel in machine tool industry. Taichung: Chung-Hai Publishing Co., Inc. (in Chinese)
Lin, S.-S., Chang, R.-Z, Tsai, J.-T., & Perng, C. (1996). A framework of computer managed education and training system for research and development personnel training. Proceedings of the 1996 Annual Conference of Chinese Association of Industrial Engineering, Taipei, Taiwan. (in Chinese)
Lin, S.-S., Han, Y.-S., Tsai, J.-T., & Perng, C. (1998). Computer managed education and training for salesperson in machine tool industry. Proceedings of the Sixth Conference on Fuzzy Theory and Its Application, Taichung, Taiwan, Dec. 11-12. (in Chinese)
Lin, S.-S., Wang, H.-P., & Zhang, C. (1997). Statistical tolerance analysis based on beta distributions. Journal of Manufacturing Systems, 16, 2, 150-158.
Lin, S.-S., Zhang, C., & Wang, H.-P. (1995). On mixed-discrete nonlinear optimization problems: A comparative study. Engineering Optimization, 23, 287-300.
Liu, S.-H., & Lee, R.-Y. (1995). Application of scenario learning on employee training. Placement and Training, 44-48. (in Chinese)
Liu, S.-Y., & Chen, J.-G. (1995). Development of a machine troubleshooting expert system via fuzzy multi-attribute decision-making approach. Expert Systems with Applications, 8, 1, 187-201.
Lomerson, W.L., & Knezek, G.A. (1991). Teacher benefit: The critical design criterion for computer-managed instruction. Educational Technology, 31, 8, 51-62.
Lu, G.F. (1994). Application of OJT in service industry. Industry Magazine, Taipei: Chinese National Federation of Industries. (in Chinese)
Mayor, R.J., Benjamin, P.C., Bruce, E., & Painter, C.M. (1995). A framework and a suit of methods for business process reengineering. In V. Grover & W. J. Kettinger (Eds.), Business process change: Reengineering concept, method and technologies. NY: Idea Group Publishing.
Ou, J. (1997). The perspectives of machining tool industry in Taiwan. Special Issue for Machining Tool Industry, 9th Ed., Taipei: Economy Daily. (in Chinese)
Perng, C., Li, W-C., Tsai, J.-T., & Lin, S.-S. (1996). A machine fault diagnosis system using neural network. Proceedings of the 1996 Annual Conference for Chinese Institute of Industrial Engineers. (in Chinese)
Perng, C., Tsai, J.-T., & Lin, S.-S. (2003). A design of collaborative commerce service system: Taiwan machine tool industries as an example. Proceedings of the Portland International Conference on Management of Engineering & Technology (PICMET), Portland, OR, USA.
Rao, S.S., & Pan, T.-S. (1991). Optimal placement of actuators in actively controlled structures using genetic algorithms. American Institute of Aeronautics and Astronautics (AIAA) Journal, 29, 6, 942-943.
Robinson, D.A., Lester, C.R., & Hamilton, N.M. (1998). Delivering computer assisted learning across the WWW. Computer Networks and ISDN Systems, 30, 301-307.
Ross, D.T. (1985). Application of SADT. IEEE Transactions on Computers, April, 25-34.
Ross, S.M. (1984). Matching the lesson to the student: Alternative adaptive designs for individualized learning system. Journal of Computer-Based Instruction, 11, 659-704.
Ruan, D., & Kerre, E.E. (2000). Fuzzy if-then rules in computational intelligence: Theory and applications, MA: Kluwer Academic Publishers.
Su, G.-W. (2000). Development and application of fault recovery mechanism based on knowledge management. Unpublished master’s thesis, National Tsing-Hua University, Taiwan. (in Chinese)
Tsai, J.-T., Lu, C.-C., Perng, C., Lin, S.-S., & Chu, H.-C. (2001). A structure of the marketing executive information system for the machine tool industry. Proceedings of the 2001 Annual Conference of Chinese Institute of Industrial Engineers. (in Chinese)
Tsai, J.-T., Shuei, J.-C. Perng, C., Lin, S.-S., & Yao, M.-C. (2001). An information system of maintenance component management for machine tool industry. Proceedings of the 2001 Annual Conference for Chinese Institute of Industrial Engineers. (in Chinese)
Weaver, M.D. (1988). From the beginning. Training and Development Journal, 42, 2, 18-20.
Yan, C.-C. (1995). A computer assisted learning system with genetic algorithms. Unpublished master’s thesis, Department of Electronic and Information Engineering, Yuan-Ze University, Taiwan. (in Chinese)
Yang, J.-E., Hwang, M.-J., Sung, T.-Y., & Jin, Y. (2000). Application of genetic algorithm for reliability allocation in nuclear power plants. Reliability Engineering and System Safety, 65, 229-238.
Yokota, T., Gen, M., & Li, Y.-X. (1996). Genetic algorithm for non-linear mixed integer programming problems and its applications. Computers and Industrial Engineering, 30, 4, 905-917.
Young, G.-H. (1986). Individualized learning: Perspective of intelligent computer-aided instruction. Science Education Monthly. (in Chinese)
Zadeh, L.A. (1975). The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences, Part I, 8, 199-249; Part II, 8, 301-357; Part III, 9, 43-80.
指導教授 高信培(Hsing-Pei Kao) 審核日期 2007-7-9
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