000 04367cam a22005658i 4500
001 9781003083177
003 FlBoTFG
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006 m d u
007 cr |||||||||||
008 200826s2021 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003083177
_q(ebook)
020 _a100308317X
020 _z9780367537463
_q(hardback)
020 _a9781000332889
_q(ePub ebook)
020 _a1000332888
020 _a9781000332865
_q(PDF ebook)
020 _a1000332861
020 _a9781000332872
_q(electronic bk. : Mobipocket)
020 _a100033287X
_q(electronic bk. : Mobipocket)
024 7 _a10.1201/9781003083177
_2doi
035 _a(OCoLC)1193559206
035 _a(OCoLC-P)1193559206
050 0 0 _aTA340
072 7 _aBUS
_x076000
_2bisacsh
072 7 _aTEC
_x020000
_2bisacsh
072 7 _aMAT
_x034000
_2bisacsh
072 7 _aAKP
_2bicssc
082 0 0 _a003/.2
_223
245 0 0 _aPredictive analytics :
_bmodeling and optimization /
_cedited by Vijay Kumar and Mangey Ram.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press/Taylor & Francis Group, LLC,
_c2021.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
490 1 _aAdvanced research in reliability and system assurance engineering
520 _a"Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses predictive modeling and analytics in reliability engineering, introduces current achievements and applications of AI, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples. The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest"--
_cProvided by publisher.
505 0 _a<P>Chapter 1 Role of MCDM in Software Reliability Engineering Chapter 2 Fault Tree Analysis of a Computerized Numerical Control Turning Center Chapter 3 How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patient Overcrowding Chapter 4 Reducing the Deterioration Rate of Inventory through Preservation Technology Investment under Fuzzy and Cloud Fuzzy Environment Chapter 5 Image Formation Using Deep Convolutional Generative Adversarial Networks Chapter 6 Optimal Preservation Technology Investment and Price for the Deteriorating Inventory Model with Price-Sensitivity Stock- Dependent Demand Chapter 7 EOQ with Shortages and Learning Effect Chapter 8 Optimal Production-Inventory Policies for Processed Fruit Juices Manufacturer and Multi-retailers with Trended Demand and Quality Degradation Chapter 9 Information Visualization: Perception and Limitations for Data-Driven Designs Chapter 10 IoT, Big Data, and Analytics -- Challenges and Opportunities Chapter 11 Multiple-Criteria Decision Analysis Using VLSI Global Routing Chapter 12 Application of IoT in Water Supply Management Chapter 13 A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition Chapter 14 Statistical Methodology for Software Reliability with Environmental Factors Chapter 15 Maintenance Data-Trends Based Reliability Availability and Maintainability (RAM) Assessment of a Steam Boiler </P>
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aEngineering
_xData processing.
650 0 _aPredictive analytics.
650 7 _aBUSINESS & ECONOMICS / Purchasing & Buying
_2bisacsh
650 7 _aTECHNOLOGY / Manufacturing
_2bisacsh
650 7 _aMATHEMATICS / Mathematical Analysis
_2bisacsh
700 1 _aKumar, Vijay,
_eeditor.
700 1 _aRam, Mangey,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003083177
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c128717
_d128717