Applications of Advanced Optimization Techniques in Industrial Engineering

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.

Preface

Chapter 1 : Dynamical Analysis in Modulated Logistic Maps
Chapter 2 : A Survey on Evolutionary Clustering Algorithms and Applications
Chapter 3 : Solving Linear Fractional Programming Problem using Revised and Column Simplex Method
Chapter 4 : The Tradeoff in Managing Overall Cost and Back Order Minimization in Two-Stage Multi Commodity Supply Chain Problem
Chapter 5 : Optimization Study on Behaviour of actinide monochalcogenides at high pressure
Chapter 6 : Dynamics of a Continuous Innovation Diffusion Model with Advertisements as well as Interpersonal Communications
Chapter 7 : Stochastic analysis of a priority based warm standby system working under k-out-of-n : G policy using multi-dimensional repair
Chapter 8 : An Inventory policy for Increasing Holding Cost under the effect of stock dependent Deterioration and Partial Backlogging
Chapter 9 : Fuzzy inventory model for non-instantaneous oxidizing items with a nonlinear-hexagonal fuzzy number under the effect of learning
Chapter 10 : Optimal analysis of machine interference problem with standby, random switching failure, vacation interruption and synchronized reneging.
Chapter 11 : Optimal Cluster Head Election in Industrial WSNs using Multi-Objective Genetic Algorithm
Chapter 12 : Monitoring Social Distancing for Industries and in Public Areas Using Machine Learning
Chapter 13 : Profit-maximization inventory model with stock-dependent demand
Chapter 14 : Models of Supply Chain Sustainability in Industrial Engineering
Chapter 15 : Optimal Stabilization in Chaotic Maps using Ishikawa Feedback Technique

Index