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Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

OPTIMIZING DECISN MKNG IN APPAREL SUPPLY CHAIN USING AI

Industry

Business & Economics

Fashion & Textiles

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
The Textile Institute and Woodhead Publishing.
Title Page.
Copyright Page.
Contents.
Woodhead Publishing Series in Textiles.
Preface.
Acknowledgements.
1: Understanding Key Decision Points in the Apparel Supply Chain.
2: Fundamentals of Artificial Intelligence Techniques for Apparel Management Applications.
3: Selecting the Location of Apparel Manufacturing Plants Using Neural Networks.
4: Optimizing Apparel Production Order Planning Scheduling Using Genetic Algorithms.
5: Optimizing Cut Order Planning in Apparel Production Using Evolutionary Strategies.
6: Optimizing Marker Planning in Apparel Production Using Evolutionary Strategies and Neural Networks.
7: Optimizing Fabric Spreading and Cutting Schedules in Apparel Production Using Genetic Algorithms and Fuzzy Set Theory.
8: Optimizing Apparel Production Systems Using Genetic Algorithms.
9: Intelligent Sales Forecasting for Fashion Retailing Using Harmony Search Algorithms and Extreme Learning Machines.
10: Intelligent Product Cross-Selling System in Fashion Retailing Using Radio Frequency Identification (RFID) Technology, Fuzzy Logic and Rule-Based Expert System.
Index.

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI).css-1p8rvzy{position:absolute;padding-left:8px;}

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)