Shekhar / Nayak / Varshney | Modeling and Applications in Operations Research | Buch | 978-1-032-61187-7 | sack.de

Buch, Englisch, 266 Seiten, Format (B × H): 233 mm x 156 mm, Gewicht: 406 g

Reihe: Mathematical Engineering, Manufacturing, and Management Sciences

Shekhar / Nayak / Varshney

Modeling and Applications in Operations Research

Buch, Englisch, 266 Seiten, Format (B × H): 233 mm x 156 mm, Gewicht: 406 g

Reihe: Mathematical Engineering, Manufacturing, and Management Sciences

ISBN: 978-1-032-61187-7
Verlag: Taylor & Francis Ltd


The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects:

- Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms

- Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control

- Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers

- Illustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs

- Showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm

The text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.
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Zielgruppe


Postgraduate and Undergraduate Advanced

Weitere Infos & Material


Chapter 1

Ant colony optimization algorithm for the university course timetabling problem using events based on groupings of students

Rakesh P. Badoni, Sanjeev Kumar, R.P. Mohanty, and Ashirbad Sarangi

 

Chapter 2

Genetic Optimization and Their Applications

Tusar Kanti Mishra, Vaibhav Bhartia, and B. K. Tripathy

 

Chapter 3

Different Variants of Unreliable Server: An Economic Approach

Shreekant Varshney, Chandra Shekhar, Vivek Tiwari, and Kocherlakota Satya Pritam

 

Chapter 4

Multi-Objective Fuzzy Linear Programming Problem with Fuzzy Decision Variables: A Geometrical Approach

Admasu Tadesse, M. M. Acharya, Manoranjan Sahoo, Srikumar Acharya

 

Chapter 5

On Approximation of Piecewise Linear Membership Functions and its Application to Solve Solid Transportation Problem with Fuzzy Cost Coefficients

Pradip Kundu, and Manidatta Ray

 

Chapter 6

Profit Maximization Inventory Model for Non-Instantaneous Deteriorating Items   with Imprecise Costs

D. K. Nayak, S. K. Paikray, and A. K. Sahoo

 

Chapter 7

A Fuzzy Inventory Model with Permissible Delay in Payments for Non- Instantaneous Deteriorating Items under Inflation

Vipin Kumar, Amit Kumar, Chandra Shekhar, C. B. Gupta

 

Chapter 8

Single and Multi-Objective Optimization Problems with Pentagonal Fuzzy Number

Anuradha Sahoo, Jayanta Kumar Dash, Ruchika Moharana

 

Chapter 9

Sensitivity Analysis of Fuzzy Linear Programming Problems with Symmetric Trapezoidal Fuzzy Numbers

Sanjaya K. Behera, and J. R. Nayak

 

Chapter 10

Constrained Effective Bit Selection Algorithm for Solving 0-1 Knapsack Problem

Rajpal Rajbhar, and L. N. Das

 

Chapter 11

A Transportation Model with Rough Cost, Demand, and Supply

Subhakanta Dash, and S. P. Mohanty

 

Chapter 12

Impact of COVID-19 on the World Economy

Altaf Ahmad, Anjanna Matta, and Topunuru Kaladhar

 

Chapter 13

Food Waste: Impact of Covid-19 on Urban and Rural Areas

Surya Kant Pal, Mahesh Kumar Jayaswal, Subhodeep Mukherjee, Kriss Gunjan, Jyotirmai Satapathy, Simran Singh

 

Chapter 14

A Conceptual Study of Association Factors Contributing to the Stress Level of Parents During the Pandemic Era in NCR

Nitendra Kumar, Pooja Singh, Santosh Kumar, Surya Kant Pal, Khursheed Alam, Mahesh Kumar Jayaswal


Jyotiranjan Nayak is a Professor in the Department of Mathematics at the Faculty of Science and Technology (IcfaiTech), IFHE, Hyderabad, India. Prior to this, he was Associate Professor at the Institute of Technical Education and Research, Siksha “O” Anusandhan University, Bhubaneswar, India, and has more than 32 years of teaching experience in undergraduate and postgraduate engineering studies. He taught the subjects like differential equations, vector analysis, complex analysis, linear algebra, numerical methods, optimization techniques, discrete mathematics, and advanced calculus at the undergraduate level. He taught postgraduate students algebra, cryptography, number theory, real analysis, topology, combinatorics, graph theory, and operations research. For Ph.D. students, he has delivered lectures on advanced computational mathematics, matrix algebra, and design of experiments at different universities, including Utkal University, Biju Patnaik University of Technology, Berhampur University, Siksha “O” Anusandhan, and ICFAI University. Besides, he has been a guest and visiting faculty at many other universities in the country. He obtained his Ph.D. degree from Utkal University in 2005. His research areas include non-convex programming, fuzzy optimization, optimal control, and topology optimization. He has published 12 research papers in leading national and international journals. He is also the former associate editor of The Journal of Orissa Mathematical Society. He was Vice-President of the Operational Research Society of India (ORSI), Bhubaneswar chapter. He is an executive member of the Orissa Mathematical Society (OMS) and a life member of the Indian Society for Technical Education (ISTE), Orissa Information Society (OITS), and Ramanujan Society of Mathematics and Mathematical Sciences (RSMSS).

Shreekant Varshney is Assistant Professor in the Department of Mathematics, School of Technology (SoT), Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. Before this, he worked as Assistant Professor in the Department of Mathematics at the Faculty of Science and Technology (IcfaiTech), IFHE, Hyderabad, India. He obtained his Ph.D. degree from the Birla Institute of Technology and Science Pilani, Pilani Campus, in 2020. He is actively involved in the research areas, namely queueing theory, machine repair problem (MRP), optimal control, reliability and maintainability, stochastic modeling, sensitivity analysis, evolutionary computation, statistical analysis, fuzzy set and logic, etc. He has taught undergraduate subjects such as linear algebra, differential equations, complex analysis, advanced calculus, numerical methods, and probability and statistics. He also has experience in teaching courses like research methodology, stochastic modeling, and introduction to queueing theory for Ph.D. students. Besides attending, presenting scientific papers, and delivering invited talks in FDPs, he has organized several workshops and symposiums. He has been awarded second prize in the academic writing competition organized by SIAM journal publishing. He has 13 research articles in journals of high repute, namely, Reliability Engineering and System Safety, Journal of Computational and Applied Mathematics, Quality Technology and Quantitative Management, Arabian Journal of Science and Engineering, etc. He is also a reviewer of many reputed journals. As a professional, he has visited IIRS (ISRO), CSIR-IIP, and WIHG.

Chandra Shekhar, the Professor and Ex-HoD of the Department of Mathematics at BITS Pilani, India, is actively involved in research and teaching in the area of queueing theory, computer and communication systems, machine repair problems, reliability and maintainability, stochastic processes, evolutionary computation, statistical analysis, and fuzzy set and logic. He has expertise in the subjects of probability and statistics, differential equations, linear algebra, advanced calculus, complex variables, and statistical inference at the undergraduate


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