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Intelligent Decision-making Models for Production and Retail Operations

(Autor)

Buch | Hardcover
XI, 324 Seiten
2016 | 1st ed. 2016
Springer Berlin (Verlag)
978-3-662-52679-8 (ISBN)
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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.

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), Awarded by 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

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.

"The book aims at providing an overview of various models and approaches to support decision-making in production and retail operations. ... this book results interesting for researchers and students who want to approach the topic of intelligent decision-making models for the first time ... . is also a precious instrument for those researchers who are familiar with some of the proposed intelligent techniques and models and want to increase their knowledge about them and the other intelligent techniques ... ." (Elisa Negri, Production Planning & Control, Vol. 28 (15), August, 2017)

Erscheinungsdatum
Zusatzinfo XI, 324 p. 84 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Themenwelt Technik Maschinenbau
Schlagworte Computational Intelligence • Engineering • Extreme Learning Machine • Industrial and Production Engineering • Metaheuristics • Neural networks • Operation Research/Decision Theory • Operations Research, Management Science • Production Optimization • Sales Forecasting
ISBN-10 3-662-52679-4 / 3662526794
ISBN-13 978-3-662-52679-8 / 9783662526798
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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