This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.

Auteur
Zhaoxia Guo

Research Areas
Production scheduling and optimization, Sales forecasting, Decision support systems, Computational intelligence

Education
09/2004-08/2007, Ph.D , The Hong Kong Polytechnic University, Hong Kong
09/2000-03/2003, M.Sc. in Control Theory and Control Engineering, Donghua University, Shanghai, China
09/1996-06/2000, Bachelor in Automatic Control, Donghua University, Shanghai, China

Working Experience
2012.09- Present, Associate Professor, Business School, Sichuan University, China
2013.12- 2014.12, Honorary associate, University of Wisconsin-Madison, US
2008.12-2012.08, Postdoctoral fellow, The Hong Kong Polytechnic University, Hong Kong
2007.09-2008.11, IT/System In Charge, Genexy Company Limited, Hong Kong
2003.3-2004.8, Assistant lecturer, Donghua University, China

Awards
2nd Prize in IMB Innovation Award 2009 (Category: Research and Development), Awardedby The European Commission of the Industry Research, IMB 2009 World of Textile Processing, German, 3rd Awardee
Gold Award in Most Innovative Use of EPC/RFID, Hong Kong RFID Awards 2012, Hong Kong, 2nd Awardee

Professional Activities
Editorial member, International Journal of Engineering Mathematics, Advanced Engineering Technology and Application;
Member, International Institute of Forecasters, Association for Information Systems;
The 10th IEEE International Conference on Industrial Informatics (INDIN 2012), Session Chair;
Invited reviewer: Applied Mathematical Modeling, Applied Soft Computing, Computers & Industrial Engineering, European Journal of Operational Research, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks, Information Sciences, International Journal of Advanced Manufacturing Technology, International Journal of Production Research, Neural Computing and Applications, Textile Research Journal, etc.

Research Projects (Selected)
On Supply Chain Scheduling Integrating Production and Distribution Operations and its Hybrid Intelligent Decision-making Models, Sponsored by the National Natural Science Foundation of China (2014-2016), Principal Investigator
Modeling and Optimization for Integrated Scheduling of Production and Transportation in MTO supply chain, Sponsored by the Research Funds for Outstanding Youth Scholars of Sichuan University (2014-2016), Principal Investigator
Development of Index System for Low-carbon Logistics Evaluation, Sponsored by the Key Logistics Research Project of Sichuan Province (2014-2015), Co-investigator
Development of a Decision-making Model for Dynamic Supply Chain Network optimization, Sponsored by Fundamental Research Funds for the Central Universities of China (2013-2015), Principal Investigator.
Hybrid Intelligent System for Product demand Forecasting in Apparel Supply Chains, Sponsored by Postdoctoral Fellowship Fund of HKPolyU (2010-2012), Applicant.
Development of a Fashion Sales Forecasting Decision Support System for Retailing, Sponsored by HKRITA and 4 Apparel Retail Companies, (2008-2010), Project Manager

Publications (Selected)

Monographs
[1]Wong W.K., Guo Z.X., Leung S.Y.S. (2013), Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail, Woodhead Publishing Limited, Cambridge, UK
[2]Wong W.K., Guo Z.X. (2014), Fashion supply chain management using radio frequency identification (RFID) technologies, Woodhead Publishing Limited, Cambridge, UK
Journal Papers
[3]Guo Z.X., Yang C., Wang, W. and Yang J.. (2015) "Harmony search-based multi-objective optimization model for multi-site order planning with multiple uncertainties and learning effects", Computers & Industrial Engineering, In Press, DOI: 10.1016/j.cie.2015.01.023.
[4]Guo Z.X., Ngai EWT, Yang C., and Liang XD. (2015) "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment", International Journal of Production Economics. 159: 16-28.
[5]Guo Z. X., Wong W.K. and Guo C. (2014). "A cloud-based intelligent decision-making system for order tracking and scheduling in apparel manufacturing". International Journal of Production Research. 52(4): 11001115.
[6]Wong W. K., Guo Z. X. and Leung S. Y. S. (2014). "Intelligent multi-objective decision-making model with RFID technology for production planning". International Journal of Production Economics. 147, Part C, 647658
[7]Guo, Z.X., Wong W.K., and Leun...

Contenu
From the Contents: Introduction.- Fundamentals of intelligent decision-making techniques.- An intelligent decision-making framework for production planning and control.- An intelligent optimization model for order scheduling at factory level.