Applications of Advanced Optimization Techniques in Industrial Engineering
242
Applications of Advanced Optimization Techniques in Industrial Engineering
242eBook
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Overview
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains.
Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world.
The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.
About the Author
Dr. Abhinav Goel is an Assistant Professor of Mathematics at Graphic Era Deemed to be University Dehradun, Uttarakhand, India. He received his MSc degree with Mathematics from Chaudhary Charan Singh University Meerut, Uttar Pradesh, India and PhD degree from Hemwati Nandan Bahuguna (A Central University) University Srinagar Uttarakhand, India. He has 11 years’ experience in academic and research. He has taught at many reputed institutes in NCR like ITS Ghaziabad, RKGIT Ghaziabad. His teaching interest area is Engineering Mathematics, Applied Mathematics, Operations Research, Numerical Techniques etc. His area of specialization is Operations Research, Inventory Control, Genetic Algorithm and soft computing techniques. He has also attended various national and international seminar/conferences/symposiums /workshops/FDP and presented his research papers. He also did certification course from HarvardX on data Science. He is reviewer and editorial board member of various national, international reputed journals.
Dr. Anand Chauhan is currently occupied as Associate Professor and Head of the department of Mathematics, Graphic Era (Deemed to be University), Dehradun, India. He has done Master of Science in Mathematics from H.N.B Garhwal Central University, Srinagar ,Uttarahand and received PhD in Mathematics from Chaudhary Charan Singh University Meerut, Uttar Pradesh, India. He has more than 12 years of teaching and research experience. He has published more than 30 research papers in national / international peer reviewed journals and he has attended more than 24 national / international conference/ seminar/ workshops. He is an author/ co-author of the more than seven books, Dr. chauhan actively involved in research fields includes operational research, inventory control, optimization, numerical methods and teaching interest in Engineering Mathematics, Discrete Mathematics, Graph Theory, Operational Research, Computer Based Numerical and Statistical Technique. Three PhD awarded under his supervision. He is Co-Editor in International Journal of Operations Research and Optimization and has been an organizing Secretary in three international conferences and also work as a reviewer in many national and international journals. He is a life member of Indian Mathematical Society (IMS) and Indian Science Congress Association (ISCA)
Dr. A. K. Malik is an Associate Professor of Mathematics at B. K. Birla Institute of Engineering & Technology Pilani, Rajasthan, India. He received his MSc degree with Mathematics from Gurukula Kangri Vishwavidyalaya, haridwar, Uttrakhand and PhD degree from Chaudhary Charan Singh University Meerut, Uttar Pradesh, India. He has 14 years’ experience in academic and research. Recently he has been honoured a Srinivasa Ramanujan Award for Mathematics Popularization on December 22, 2018 on National Mathematics Day from VIPNET-Vigyan Prasar (under DST Govt. of India) Network DASA & SWA of Tripura. His area of specialization is Operations Research, Inventory Control, and soft computing techniques. He has published more than fifty research papers in reputed national and international journals. He has also attended various national and international seminar/conferences/symposiums/workshops and presented his research papers. He is author/co-author of 19 books like Operations Research (Oxford University Press), A textbook of Engineering Mathematics-II (Manakin Press, New Delhi), Engineering Mathematics-I & II, Mathematics-III (for EC&EE), Advanced Engineering Mathematics (All New Age International Publication, New Delhi); Optimization Techniques, Topology, Measure Theory & Integration (I K International Publication, New Delhi); and Mathematics-III (for CS& IT) (Asian Publication, New Delhi) etc. He has been invited to deliver talks on various research topics in several Institutes likes IITs, other institutes and universities.
Table of Contents
1. Dynamical Analysis in Modulated Logistic Maps 2. A Survey on Evolutionary Clustering Algorithms and Applications 3. Solving Linear Fractional Programming Problem using Revised and Column Simplex Method 4. The Tradeoff in Managing Overall Cost and Back Order Minimization in Two-Stage Multi Commodity Supply Chain Problem 5. Optimization Study on Behaviour of actinide monochalcogenides at high pressure 6. Dynamics of a Continuous Innovation Diffusion Model with Advertisements as well as Interpersonal Communications 7. Stochastic analysis of a priority based warm standby system working under k-out-of-n: G policy using multi-dimensional repair 8. An Inventory policy for Increasing Holding Cost under the effect of stock dependent Deterioration and Partial Backlogging 9. Fuzzy inventory model for non-instantaneous oxidizing items with a nonlinear-hexagonal fuzzy number under the effect of learning 10. Optimal analysis of machine interference problem with standby, random switching failure, vacation interruption and synchronized reneging. 11. Optimal Cluster Head Election in Industrial WSNs using Multi-Objective Genetic Algorithm 12. Monitoring Social Distancing for Industries and in Public Areas Using Machine Learning 13. Profit-maximization inventory model with stock-dependent demand 14. Models of Supply Chain Sustainability in Industrial Engineering 15. Optimal Stabilization in Chaotic Maps using Ishikawa Feedback Technique