000			05203nam a22004695i 4500
999			_c120444 _d120444 _x1
001			120444
003			ES-MaUEC
005			20230309094552.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			200609s2020 si a o |||| 0|eng d
020			_a9789811545658
024	7		_a10.1007/978-981-15-4565-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS183 _b2020 EB
245	0	0	_aAdvances in Intelligent Manufacturing : _bSelect Proceedings of ICFMMP 2019 _cedited by Grzegorz Krolczyk, Chander Prakash, Sunpreet Singh, Joao Paulo Davim
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020
300			_a1 recurso en línea (XI, 219 páginas) _b68 ilustraciones, 42 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aLecture Notes in Mechanical Engineering _x2195-4356
490	0		_aEngineering (Springer-11647)
505	0		_aSix Sigma Methodology and Implementation in Indian Context: A Review Based Study -- Evaluation of work posture using ergonomics in Indian small scale industry -- Manufacturing Intelligence in the Context of Indian SME's -- Multi-objective optimization of process parameter during dry Turning of Grade5 Titanium alloy with carbide inserts: Hybrid Fuzzy-TOPSIS approach -- Analysis of Factors for Green Supply Chain in Indian Timber Market: An ISM Approach -- The Value Engineering Way: A Case of Industrial Fans -- Obstacles of Flexible Manufacturing System: An AHP Approach for Quantifying the Rank Given by the ISM Model -- To Find the Effectiveness of Barriers in Reverse Logistics by using ISM -- Optimization of MQL Machining Parameters Using Combined Taguchi and TOPSIS Method -- Life Cycle Assessment Framework for Sustainable Development in Manufacturing Environment -- Artificial Neural Network Models for the Prediction of Metal Removal Rate in Rotary Ultrasonic Machining -- Finding the Percentage Effectiveness of Agile Manufacturing Barriers: An AHP Approach -- Modeling the Knowledge Sharing Barriers in Indian Small and Medium Industries using ISM -- Simulation and Optimization of Flexible Flow Shop Scheduling Problem in an Indian Manufacturing Industry -- Computational Investigation on the Thermal Characteristics of Heat Pipe Using Nanofluids -- Analysis of Barriers to Lean-Green Manufacturing System (Lgms): A Multi-Criteria Decision Making Approach -- Machine Learning Application for Pulsating Flow Through -- Ranking of Factors for Integrated Lean, Green and Agile Manufacturing for Indian Manufacturing Sme's.
520	3		_aThis book consists of select proceedings of the International Conference on Functional Material, Manufacturing and Performances (ICFMMP) 2019, and presents latest research on using the combined intelligence of people, processes, and machines to impact the overall economics of manufacturing. The book focuses on optimizing manufacturing resources, improving business value and safety, and reducing waste - both on the floor and in back-office operations. It highlights the applications of the latest manufacturing execution system (MES), intelligent devices, machine-to-machine communication, and data analysis for the production lines and facilities. This book will be useful to manufacturers of finished goods and of sub-assemblies in the automotive, agriculture, and construction equipment sector. It will also provide solutions to make production strategies exceptional and can be a useful reference for beginners, researchers, and professionals interested in intelligent manufacturing technologies.
988			_aSpringer_Engineering_23062020
650		7	_2embne _aProcesos de fabricación _vCongresos y asambleas _9163432
650		7	_2embne _aSistemas de control inteligente _vCongresos y asambleas _9407082
700	1		_aKrolczyk, Grzegorz _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/433144782739272131722
700	1		_aPrakash, Chander _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2019187686 _1http://viaf.org/viaf/2241157470196122640003
700	1		_aSingh, Sunpreet _eeditor _0(orcid)0000-0001-9592-4828 _1https://orcid.org/0000-0001-9592-4828 _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2008017701 _1http://viaf.org/viaf/16759491
700	1		_aDavim, Joao Paulo _eeditor _0(orcid)0000-0002-5659-3111 _1https://orcid.org/0000-0002-5659-3111 _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/100004045
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9789811545641
776	0	8	_iPrinted edition: _z9789811545665
776	0	8	_iPrinted edition: _z9789811545672
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-4565-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2020 _dz _eIG _zSI