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E-raamat: Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

(Government College of Engineering and Textile Technology, Berhampore), (Indian Institute of Technology Delhi, New Delhi), (National Institute of Fashion Technology, Hyderabad)
  • Formaat: 316 pages
  • Ilmumisaeg: 18-Mar-2019
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9780429996825
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Advanced Optimization and Decision-Making Techniques in Textile ManufacturingSuurem pilt
  • Formaat: 316 pages
  • Ilmumisaeg: 18-Mar-2019
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9780429996825
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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
Preface xi
About the Authors xiii
1 Introduction to Decision-Making and Optimization Techniques
1(14)
1.1 Introduction
1(1)
1.2 Decision-Making Process and Classification
1(7)
1.2.1 Decision-Making Under Certainty, Risk, and Uncertainty
3(3)
1.2.2 Multicriteria Decision-Making
6(2)
1.3 Optimization
8(6)
1.3.1 Linear Programming
9(1)
1.3.2 Multiobjective Optimization and Goal Programming
9(2)
1.3.3 Nontraditional Optimization Algorithms
11(1)
1.3.3.1 Genetic Algorithm
11(2)
1.3.3.2 Particle Swarm Optimization
13(1)
1.3.3.3 Simulated Annealing
13(1)
1.4 Summary
14(1)
References
14(1)
2 Analytic Hierarchy Process
15(20)
2.1 Introduction
15(1)
2.2 Analytic Hierarchy Process Methodology
16(10)
2.2.1 Importance of Hierarchical Structure
22(1)
2.2.2 Rank Reversal in Analytic Hierarchy Process
22(4)
2.2.3 Multiplicative Analytic Hierarchy Process
26(1)
2.3 Fuzzy Analytic Hierarchy Process
26(6)
2.3.1 Fuzzy Numbers and Their Operations
26(1)
2.3.2 Developing Decision Hierarchy and Constructing Fuzzy Comparison Matrix
27(1)
2.3.3 Computing Criteria Weights
28(2)
2.3.4 Example of Fuzzy Analytic Hierarchy Process Application
30(2)
2.4 Summary
32(1)
References
32(3)
3 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
35(30)
3.1 Introduction
35(1)
3.2 TOPSIS Methodology
35(4)
3.3 Step-by-Step Working Principles of TOPSIS
39(4)
3.4 Application of TOPSIS in Textiles
43(7)
3.4.1 Selection of Handloom Fabrics for Summer Clothing Using TOPSIS
44(6)
3.5 Fuzzy-TOPSIS Method
50(4)
3.6 Step-by-Step Working Principles of Fuzzy-TOPSIS
54(4)
3.7 MATLAB® Coding
58(4)
3.8 Summary
62(1)
References
62(3)
4 Elimination and Choice Translating Reality (ELECTRE)
65(20)
4.1 Introduction
65(1)
4.2 ELECTRE Methodology
65(5)
4.3 Step-by-Step Working Principles of ELECTRE Method
70(5)
4.4 Application of ELECTRE Method in Textiles
75(5)
4.4.1 Selection of Bulletproof Body Armors Using ELECTRE Method
76(4)
4.5 MATLAB® Coding
80(3)
4.6 Summary
83(1)
References
83(2)
5 Graph Theory and Matrix Approach of Decision-Making
85(14)
5.1 Introduction
85(1)
5.2 Graph Theory and Matrix Approach
85(5)
5.3 Step-by-Step Working Principles of Graph Theory and Matrix Approach
90(2)
5.4 Application of Graph Theory and Matrix Approach of Decision-Making in Textiles
92(3)
5.4.1 Cotton Fiber Selection Using Graph Theory and Matrix Approach
92(3)
5.5 MATLAB® Coding
95(1)
5.6 Summary
96(1)
References
96(3)
6 Linear Programming
99(28)
6.1 Introduction
99(1)
6.2 Linear Programming Problem Formulation
99(4)
6.2.1 General Form of a Linear Programming Problem
102(1)
6.3 Graphical Method
103(5)
6.4 Simplex Method
108(14)
6.4.1 Big M Method
112(5)
6.4.2 Two-Phase Method
117(5)
6.5 Applications
122(1)
6.6 MATLAB® Coding
122(2)
6.7 Summary
124(1)
References
124(3)
7 Fuzzy Linear Programming
127(16)
7.1 Introduction
127(1)
7.2 Crisp Set, Fuzzy Set, and Membership Function
127(4)
7.2.1 Fuzzy Set Operations
129(2)
7.3 Fuzzy Linear Programming Algorithm
131(9)
7.4 Applications
140(1)
7.5 MATLAB® Coding
140(1)
7.6 Summary
141(1)
References
141(2)
8 Quadratic Programming
143(20)
8.1 Introduction
143(1)
8.2 Quadratic Programming Algorithm
143(11)
8.2.1 Lagrangian Function
144(1)
8.2.2 Kuhn-Tucker Conditions
145(2)
8.2.3 Wolfe's Method to Solve Quadratic Programming Problem
147(7)
8.3 Application of Wolfe's Method for Solving Quadratic Programming Problem in Textile Field
154(3)
8.4 MATLAB® Coding
157(3)
8.5 Summary
160(1)
References
160(3)
9 Genetic Algorithm
163(32)
9.1 Introduction
163(1)
9.2 Genetic Algorithm
164(9)
9.2.1 Representation
164(1)
9.2.2 Fitness Evaluation
165(1)
9.2.3 Reproduction
165(2)
9.2.4 Crossover
167(4)
9.2.5 Mutation
171(1)
9.2.6 Flowchart of a Genetic Algorithm
172(1)
9.3 Step-by-Step Working Principle of Genetic Algorithm
173(11)
9.4 Application of Genetic Algorithm in Textiles
184(6)
9.4.1 Application of Genetic Algorithm in Fitting Stress-Strain Curve of Fibers
185(5)
9.5 MATLAB® Coding
190(3)
9.6 Summary
193(1)
References
193(2)
10 Particle Swarm Optimization
195(26)
10.1 Introduction
195(1)
10.2 Particle Swarm Optimization
195(4)
10.2.1 Flowchart of Particle Swarm Optimization
198(1)
10.3 Step-by-Step Working Principle of Particle Swarm Optimization
199(9)
10.4 Application of Particle Swarm Optimization in Textiles
208(7)
10.4.1 Application of Particle Swarm Optimization in Fabric Engineering
208(7)
10.5 MATLAB® Coding
215(3)
10.6 Summary
218(1)
References
218(3)
11 Simulated Annealing
221(24)
11.1 Introduction
221(1)
11.2 Simulated Annealing
221(4)
11.2.1 Flowchart of Simulated Annealing
225(1)
11.3 Step-by-Step Working Principle of Simulated Annealing
225(10)
11.4 Application of Simulated Annealing in Textiles
235(4)
11.4.1 Application of Simulated Annealing in Yarn Engineering
235(4)
11.5 MATLAB® Coding
239(3)
11.6 Summary
242(1)
References
242(3)
12 Multiobjective Optimization
245(48)
12.1 Introduction
245(1)
12.2 Goal Programming
245(7)
12.2.1 Goal Programming with One Goal
246(1)
12.2.2 Goal Programming with Multiple Goals
247(1)
12.2.2.1 Non-Preemptive Goal Programming
248(1)
12.2.2.2 Goal Programming with Differential Weighting
249(1)
12.2.2.3 Preemptive Goal Programming
250(2)
12.3 Multiobjective Optimization Using Desirability Function
252(5)
12.3.1 Application of Desirability Function Approach for Multiobjective Optimization
254(1)
12.3.2 Multiobjective Optimization of Air Permeability, Thermal Conductivity, and Ultraviolet Protection Factor of Knitted Fabrics Using Desirability Function
254(3)
12.4 Multiobjective Optimization Using Evolutionary Algorithm
257(19)
12.4.1 Application of Evolutionary Algorithm Approach for Multiobjective Optimization
273(1)
12.4.1.1 Using Two Objective Functions: Spinning Consistency Index and Yarn Strength
274(1)
12.4.1.2 Using Three Objective Functions: Air Permeability, Thermal Conductivity, and Ultraviolet Protection Factor of Knitted Fabrics
275(1)
12.5 MATLAB® Coding
276(15)
12.6 Summary
291(1)
References
291(2)
Index 293
Dr. Anindya Ghosh completed his B.Tech. in Textile Technology in 1997 from College of Textile Technology, Berhampore (Calcutta University), India. After that he worked in a textile spinning industry for one year as a shift engineer. He completed his M. Tech. and PhD in Textile Engineering from Indian Institute of Technology, Delhi, India in 2000 and 2004 respectively. He is a recipient of Career Award for Young Teacher-2009 from AICTE, India. He has more than 14 years experience in Teaching. Currently he is working as an Associate Professor in Government College of Engineering & Textile Technology, Berhampore. His research work involves yarn manufacturing, Yarn and fabric structures, modeling and simulation, optimization and decision making techniques. He has published more than 70 papers in various referred journals.

Dr. Prithwiraj Mal is post graduate in Textile Engineering from Indian Institute of Technology Delhi. He has almost 16 years of cumulative experience in both industry and academics. He completed PhD from Jadavpur University, Kolkata in 2017. Prithwiraj Mal has joined NIFT in 2008 and currently posted in NIFT Hyderabad as Assistant Professor in Department of Textile Design. His research work involves comfort, optimization, decision making techniques & product development. He has published more than 20 papers in various referred journals and presented / published papers in conferences in national and international levels.

Dr. Abhijit Majumdar is working as Professor in Department of Textile Technology of Indian Institute of Technology Delhi, India. A graduate from Calcutta University, with gold medal in Textile Technology, he completed his post graduate and Ph.D degrees from IIT Delhi and Jadavpore University, Kolkata, respectively. His research areas include protective textiles (soft armour, antibacterial, UV etc.), soft computing applications and sustainable supply chain management. He has completed research projects funded by Department of Science and Technology (DST), Defense Research and Development Organization (DRDO) and Council for Scientific and Industrial Research (CSIR), He has published 85 research papers in international refereed journals and guided seven Ph.D students. He has authored one book entitled 'Principles of Woven Fabric Manufacturing' published by CRC press. He has also edited two books published by Woodhead Publisher, U. K. and authored one monograph (Textile Progress) published by Taylor and Francis. He is the associate editor of Journal of the Institution of Engineers (India) Series E (Chemical and Textile Engineering) published by Springer. He is a recipient of Outstanding Young Faculty Fellowship (2009-2014) of IIT Delhi, Teaching Excellence Award (2015) of IIT Delhi and Gandhian Young Technological Innovation Award (2017).
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