| 000 | 03013cam a22005538i 4500 | ||
|---|---|---|---|
| 001 | 9780367816384 | ||
| 003 | FlBoTFG | ||
| 005 | 20220509193120.0 | ||
| 006 | m d u | ||
| 007 | cr ||||||||||| | ||
| 008 | 200810s2021 flu ob 001 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9780367816384 _q(ebk) |
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| 020 | _a0367816385 | ||
| 020 |
_a9781000326918 _q(electronic bk. : PDF) |
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| 020 |
_a1000326918 _q(electronic bk. : PDF) |
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| 020 |
_a9781000326932 _q(electronic bk. : EPUB) |
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| 020 |
_a1000326934 _q(electronic bk. : EPUB) |
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| 020 |
_a9781000326925 _q(electronic bk. : Mobipocket) |
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| 020 |
_a1000326926 _q(electronic bk. : Mobipocket) |
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| 020 |
_z9780367407179 _q(hbk) |
||
| 035 | _a(OCoLC)1184122659 | ||
| 035 | _a(OCoLC-P)1184122659 | ||
| 050 | 0 | 0 | _aHD38.5 |
| 072 | 7 |
_aCOM _x021030 _2bisacsh |
|
| 072 | 7 |
_aTEC _x020000 _2bisacsh |
|
| 072 | 7 |
_aTEC _x029000 _2bisacsh |
|
| 072 | 7 |
_aAKP _2bicssc |
|
| 082 | 0 | 0 |
_a658.70285/57 _223 |
| 245 | 0 | 0 |
_aBig data analytics in supply chain management : _btheory and applications / _cedited by Iman Rahimi, Amir H. Gandomi, Simon James Fong and M. Ali Ülkü. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBoca Raton : _bCRC Press, _c2021. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bn _2rdamedia |
||
| 338 |
_aonline resource _bnc _2rdacarrier |
||
| 520 |
_a"In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Business and Engineering students, scholars, and professionals, this book is a collection of the state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge on emerging supply chain problems"-- _cProvided by publisher. |
||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aBusiness logistics. | |
| 650 | 0 | _aBig data. | |
| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining _2bisacsh |
|
| 650 | 7 |
_aTECHNOLOGY / Manufacturing _2bisacsh |
|
| 650 | 7 |
_aTECHNOLOGY / Operations Research _2bisacsh |
|
| 700 | 1 |
_aRahimi, Iman, _eeditor. |
|
| 700 | 1 |
_aGandomi, Amir Hossein, _eeditor. |
|
| 700 | 1 |
_aFong, Simon, _eeditor. |
|
| 700 | 1 |
_aÜlkü, Muhammed Ali, _eeditor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780367816384 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c130199 _d130199 |
||