000 04491nam a22006135i 4500
001 978-981-15-4550-4
003 DE-He213
005 20220801214015.0
007 cr nn 008mamaa
008 200605s2021 si | s |||| 0|eng d
020 _a9789811545504
_9978-981-15-4550-4
024 7 _a10.1007/978-981-15-4550-4
_2doi
050 4 _aHD28-70
072 7 _aTBC
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
072 7 _aKJM
_2thema
082 0 4 _a658.5
_223
245 1 0 _aOptimization Methods in Engineering
_h[electronic resource] :
_bSelect Proceedings of CPIE 2019 /
_cedited by Mohit Tyagi, Anish Sachdeva, Vishal Sharma.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXIV, 619 p. 277 illus., 223 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Multidisciplinary Industrial Engineering,
_x2522-5030
505 0 _aEvaluating 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.
520 _aThis 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. .
650 0 _aIndustrial Management.
_95847
650 0 _aSecurity systems.
_931879
650 0 _aComputer simulation.
_95106
650 0 _aBusiness logistics.
_94995
650 1 4 _aIndustrial Management.
_95847
650 2 4 _aSecurity Science and Technology.
_931884
650 2 4 _aComputer Modelling.
_935746
650 2 4 _aSupply Chain Management.
_932320
700 1 _aTyagi, Mohit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935747
700 1 _aSachdeva, Anish.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935748
700 1 _aSharma, Vishal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935749
710 2 _aSpringerLink (Online service)
_935750
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811545498
776 0 8 _iPrinted edition:
_z9789811545511
776 0 8 _iPrinted edition:
_z9789811545528
830 0 _aLecture Notes on Multidisciplinary Industrial Engineering,
_x2522-5030
_935751
856 4 0 _uhttps://doi.org/10.1007/978-981-15-4550-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75852
_d75852