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

<p>Woodhead Publishing Series in Textiles</p> <p>Preface</p> <p>Acknowledgements</p> <p>Chapter 1: Understanding key decision points in the apparel supply chain</p> <p>Abstract:</p> <p>1.1 Introduction</p> <p>1.2 Selection of plant locations</p> <p>1.3 Production scheduling and assembly line balancing control</p> <p>1.4 Cutting room</p> <p>1.5 Retailing</p> <p>Chapter 2: Fundamentals of artificial intelligence techniques for apparel management applications</p> <p>Abstract:</p> <p>2.1 Artificial intelligence (AI) techniques: a brief overview</p> <p>2.2 Rule-based expert systems</p> <p>2.3 Evolutionary optimization techniques</p> <p>2.4 Feedforward neural networks (FNNs)</p> <p>2.5 Fuzzy logic</p> <p>2.6 Conclusions</p> <p>Chapter 3: Selecting the location of apparel manufacturing plants using neural networks</p> <p>Abstract:</p> <p>3.1 Introduction</p> <p>3.2 Classification methods using artificial neural networks</p> <p>3.3 Classifying decision models for the location of clothing plants</p> <p>3.4 Classification using unsupervised artificial neural networks (ANN)</p> <p>3.5 Classification using supervised ANN</p> <p>3.6 Conclusion</p> <p>3.7 Acknowledgements</p> <p>3.9 Appendix: performance of back propagation (BP) and learning vector quantization (LVQ) with a different number of hidden neurons</p> <p>Chapter 4: Optimizing apparel production order planning scheduling using genetic algorithms</p> <p>Abstract:</p> <p>4.1 Introduction</p> <p>4.2 Problem formulation</p> <p>4.3 Dealing with uncertain completion and start times</p> <p>4.4 Genetic algorithms for order scheduling</p> <p>4.5 Experimental results and discussion</p> <p>4.6 Conclusions</p> <p>4.7 Acknowledgement</p> <p>Chapter 5: Optimizing cut order planning in apparel production using evolutionary strategies</p> <p>Abstract:</p> <p>5.1 Introduction</p> <p>5.2 Formulation of the cut order planning (COP) decision-making model</p> <p>5.3 Genetic COP optimization</p> <p>5.4 An example of a genetic optimization model for COP</p> <p>5.5 Conclusions</p> <p>5.6 Acknowledgement</p> <p>5.8 Appendix: comparison between industrial practice and proposed COP decision-making model</p> <p>Chapter 6: Optimizing marker planning in apparel production using evolutionary strategies and neural networks</p> <p>Abstract:</p> <p>6.1 Introduction</p> <p>6.2 Packing method for optimized marker packing</p> <p>6.3 Evolutionary strategy (ES) for optimizing marker planning</p> <p>6.4 Experiments to evaluate performance</p> <p>6.5 Conclusion</p> <p>Chapter 7: Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory</p> <p>Abstract:</p> <p>7.1 Introduction</p> <p>7.2 Problem formulation in fabric-cutting operations</p> <p>7.3 Genetic optimization of fabric scheduling</p> <p>7.4 Case studies using real production data</p> <p>7.5 Conclusions</p> <p>7.6 Acknowledgement</p> <p>7.8 Appendix: nomenclature</p> <p>Chapter 8: Optimizing apparel production systems using genetic algorithms</p> <p>Abstract:</p> <p>8.1 Introduction</p> <p>8.2 Problem formulation in sewing operations</p> <p>8.3 Genetic optimization of production line balancing</p> <p>8.4 Experimental results</p> <p>8.5 Conclusions</p> <p>8.6 Acknowledgement</p> <p>8.8 Appendix: nomenclature</p> <p>Chapter 9: Intelligent sales forecasting for fashion retailing using harmony search algorithms and extreme learning machines</p> <p>Abstract:</p> <p>9.1 Introduction</p> <p>9.2 Hybrid intelligent model for medium-term fashion sales forecasting</p> <p>9.3 Evaluating model performance with real sales data</p> <p>9.4 Experimental results and analysis</p> <p>9.5 Assessing forecasting performance</p> <p>9.6 Conclusions</p> <p>6.7 Acknowledgement</p> <p>Chapter 10: Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system</p> <p>Abstract:</p> <p>10.1 Introduction</p> <p>10.2 Radio frequency identification (RFID)-enabled smart dressing system (SDS)</p> <p>10.3 Intelligent product cross-selling system (IPCS)</p> <p>10.4 Implementation of the RFID-enabled SDS and IPCS</p> <p>10.5 Evaluation of the RFID-enabled SDS</p> <p>10.6 Assessing the use of RFID technology in fashion retailing</p> <p>10.7 Conclusions</p> <p>10.8 Acknowledgement</p> <p>Index</p>