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Optimization Methods in Engineering Select Proceedings of CPIE 2019

Title
Optimization Methods in Engineering [electronic resource] : Select Proceedings of CPIE 2019 / edited by Mohit Tyagi, Anish Sachdeva, Vishal Sharma.
ISBN
9789811545504
Edition
1st ed. 2021.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2021.
Physical Description
1 online resource (XIV, 619 p.) 277 illus., 223 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book comprises peer-reviewed contributions from the International Conference on Production and Industrial Engineering (CPIE) 2019. This volume provides insights into the current scenario and advances in the domain of industrial and production engineering in the context of optimum value. Optimization and its applicability in various areas of production and industrial engineering like selection of designing parameters and machining parameters, decisions related to conditions of optimum process/operation parameters, behavior of response variables, facilities planning and management, transportation and supply chain management, quality engineering, reliability and maintenance, product design and development, human factors and ergonomics, service system and service management, waste management, sustainable manufacturing and operations, systems design, and performance measurement are discussed in the book. Given the range of topics covered, this book can be useful for students, researchers, and professionals interested in latest optimization techniques related to industrial and production engineering. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 21, 2021
Series
Lecture Notes on Multidisciplinary Industrial Engineering,
Lecture Notes on Multidisciplinary Industrial Engineering,
Contents
Evaluating Statistical Approaches for Tool Condition Monitoring in Drilling Applications
Parametric Assessment of Temperature Monitoring Trends in Food Supply Chain Performance System
An Efficient Algorithm for Solving Cell Formation Problem in Cellular Manufacturing
Design of Optimal Noise Barrier for Metropolitan Cities using Artificial Neural Networks
Predictive Analytics in Food Grain Logistics: Supervised Machine Learning Approach
Tribological Analysis of Increasing Percentage of CrC Content in Composite Coating by Atmospheric Plasma Spray Technique
Effect of cutting parameters on MRR and surface roughness in turning of AISI 1018 and AISI P20 using Taguchi method
Optimization of Exit Diameter of Hole on Ti-6Al-4V Super Alloy Using Laser Drilling
An Improved Artificial Neural Networking Architecture Approach for Prediction of Cutting Parameters in Turning of EN31 Steel
Effect of Temperature on the Wear Behaviour of CrN Coating Deposited by Physical Vapour Deposition.
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