Advanced optimization and decision making techniques in textile manufacturing /
Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar.
- 1 online resource
Cover; Half Title; Title Page; Copyright Page; Contents; Preface; About the Authors; 1. Introduction to Decision-Making and Optimization Techniques; 1.1 Introduction; 1.2 Decision-Making Process and Classification; 1.2.1 Decision-Making Under Certainty, Risk, and Uncertainty; 1.2.2 Multicriteria Decision-Making; 1.3 Optimization; 1.3.1 Linear Programming; 1.3.2 Multiobjective Optimization and Goal Programming; 1.3.3 Nontraditional Optimization Algorithms; 1.3.3.1 Genetic Algorithm; 1.3.3.2 Particle Swarm Optimization; 1.3.3.3 Simulated Annealing; 1.4 Summary; References 2. Analytic Hierarchy Process2.1 Introduction; 2.2 Analytic Hierarchy Process Methodology; 2.2.1 Importance of Hierarchical Structure; 2.2.2 Rank Reversal in Analytic Hierarchy Process; 2.2.3 Multiplicative Analytic Hierarchy Process; 2.3 Fuzzy Analytic Hierarchy Process; 2.3.1 Fuzzy Numbers and Their Operations; 2.3.2 Developing Decision Hierarchy and Constructing Fuzzy Comparison Matrix; 2.3.3 Computing Criteria Weights; 2.3.4 Example of Fuzzy Analytic Hierarchy Process Application; 2.4 Summary; References; 3. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) 3.1 Introduction3.2 TOPSIS Methodology; 3.3 Step-by-Step Working Principles of TOPSIS; 3.4 Application of TOPSIS in Textiles; 3.4.1 Selection of Handloom Fabrics for Summer Clothing Using TOPSIS; 3.5 Fuzzy-TOPSIS Method; 3.6 Step-by-Step Working Principles of Fuzzy-TOPSIS; 3.7 MATLABŪ Coding; 3.8 Summary; References; 4. Elimination and Choice Translating Reality (ELECTRE); 4.1 Introduction; 4.2 ELECTRE Methodology; 4.3 Step-by-Step Working Principles of ELECTRE Method; 4.4 Application of ELECTRE Method in Textiles; 4.4.1 Selection of Bulletproof Body Armors Using ELECTRE Method 4.5 MATLABŪ Coding4.6 Summary; References; 5. Graph Theory and Matrix Approach of Decision-Making; 5.1 Introduction; 5.2 Graph Theory and Matrix Approach; 5.3 Step-by-Step Working Principles of Graph Theory and Matrix Approach; 5.4 Application of Graph Theory and Matrix Approach of Decision-Making in Textiles; 5.4.1 Cotton Fiber Selection Using Graph Theory and Matrix Approach; 5.5 MATLABŪ Coding; 5.6 Summary; References; 6. Linear Programming; 6.1 Introduction; 6.2 Linear Programming Problem Formulation; 6.2.1 General Form of a Linear Programming Problem; 6.3 Graphical Method 6.4 Simplex Method6.4.1 Big M Method; 6.4.2 Two-Phase Method; 6.5 Applications; 6.6 MATLABŪ Coding; 6.7 Summary; References; 7. Fuzzy Linear Programming; 7.1 Introduction; 7.2 Crisp Set, Fuzzy Set, and Membership Function; 7.2.1 Fuzzy Set Operations; 7.3 Fuzzy Linear Programming Algorithm; 7.4 Applications; 7.5 MATLABŪ Coding; 7.6 Summary; References; 8. Quadratic Programming; 8.1 Introduction; 8.2 Quadratic Programming Algorithm; 8.2.1 Lagrangian Function; 8.2.2 Kuhn-Tucker Conditions; 8.2.3 Wolfe's Method to Solve Quadratic Programming Problem
Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management