000			03489cam a22005418i 4500
001			9781003137993
003			FlBoTFG
005			20240213122831.0
006			m o d
007			cr |||||||||||
008			210405s2022 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003137993 _q(ebk)
020			_a1003137997
020			_a9781000453768 _q(electronic bk. : EPUB)
020			_a1000453766 _q(electronic bk. : EPUB)
020			_a9781000453751 _q(electronic bk. : PDF)
020			_a1000453758 _q(electronic bk. : PDF)
020			_z9780367685348 _q(hbk)
020			_z9780367685379 _q(pbk)
035			_a(OCoLC)1245961276
035			_a(OCoLC-P)1245961276
050	0	0	_aT57.5
072		7	_aTEC _x029000 _2bisacsh
072		7	_aAKP _2bicssc
082	0	0	_a620.00285 _223
245	0	0	_aEngineering analytics : _badvances in research and applications / _cedited by Luis Rabelo, Edgar Gutierrez-Franco, Alfonso Sarmiento, and Christopher Mejía-Argueta.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	2		_aInteractive visualization to support data and analytics-driven supply chain design decisions / Milena Janjevic and Matthias Winkenbach -- Analysis of IoT implementations using agent-based modeling : two case studies / Mohammed Basingab, Khalid Nagadi, Atif Shahzad, and Ghada Elnaggar.
520			_a"Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aIndustrial engineering _xData processing.
650		0	_aSystem analysis _xData processing.
650		0	_aBig data.
650		0	_aEngineering mathematics.
650		7	_aTECHNOLOGY / Operations Research _2bisacsh
700	1		_aRabelo Mendizabal, Luis C. _q(Luis Carlos), _d1960- _eeditor.
700	1		_aGutierrez-Franco, Edgar, _eeditor.
700	1		_aSarmiento, Alfonso, _eeditor.
700	1		_aMejía-Argueta, Christopher, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003137993
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c5878 _d5878