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Optimization methods in engineering ...

CPIE (Conference) ((2019))

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Optimization methods in engineering = select proceedings of CPIE 2019 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization methods in engineering/ edited by Mohit Tyagi, Anish Sachdeva, Vishal Sharma.
其他題名:	select proceedings of CPIE 2019 /
其他題名:	CPIE 2019
其他作者:	Tyagi, Mohit.
團體作者:	CPIE (Conference)
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xiv, 619 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Engineering mathematics - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-15-4550-4
ISBN:	9789811545504

Optimization methods in engineering = select proceedings of CPIE 2019 /
Optimization methods in engineeringselect proceedings of CPIE 2019 /[electronic resource] :CPIE 2019edited by Mohit Tyagi, Anish Sachdeva, Vishal Sharma. - Singapore :Springer Singapore :2021. - xiv, 619 p. :ill., digital ;24 cm. - Lecture notes on multidisciplinary industrial engineering,2522-5022. - Lecture notes on multidisciplinary industrial engineering..

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.

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.

ISBN: 9789811545504

Standard No.: 10.1007/978-981-15-4550-4doiSubjects--Topical Terms:

661472
Engineering mathematics
--Congresses.

LC Class. No.: TA329 / .C65 2019

Dewey Class. No.: 620.00151

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