| 000 | 03740cam a2200577Mi 4500 | ||
|---|---|---|---|
| 001 | 9781003084020 | ||
| 003 | FlBoTFG | ||
| 005 | 20240213122831.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 201103s2020 xx o 0|| 0 eng d | ||
| 040 |
_aOCoLC-P _beng _cOCoLC-P |
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| 020 |
_a9781000280500 _q(electronic bk.) |
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| 020 |
_a1000280500 _q(electronic bk.) |
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| 020 | _a1000280748 | ||
| 020 |
_a9781000280623 _q(Mobipocket ebook) |
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| 020 | _a1000280624 | ||
| 020 |
_a9781003084020 _q(ebook) |
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| 020 | _a1003084028 | ||
| 020 |
_a9781000280746 _q(electronic bk.) |
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| 020 | _z0367540061 | ||
| 020 | _z9780367540067 | ||
| 020 | _z9780367540043 | ||
| 020 | _z0367540045 | ||
| 024 | 7 |
_a10.4324/9781003084020 _2doi |
|
| 035 |
_a(OCoLC)1202747512 _z(OCoLC)1225367647 |
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| 035 | _a(OCoLC-P)1202747512 | ||
| 050 | 4 |
_aHD38.5 _b.R63 2020 |
|
| 072 | 7 |
_aBUS _x087000 _2bisacsh |
|
| 072 | 7 |
_aCOM _x018000 _2bisacsh |
|
| 072 | 7 |
_aCOM _x051240 _2bisacsh |
|
| 072 | 7 |
_aKJMV8 _2bicssc |
|
| 082 | 0 | 4 |
_a658.5 _223 |
| 100 | 1 | _aRobertson, Peter W. | |
| 245 | 1 | 0 |
_aSUPPLY CHAIN ANALYTICS _h[electronic resource] : _busing data to optimise supply chain processes. |
| 260 |
_a[S.l.] : _bROUTLEDGE, _c2020. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _2rdacontent |
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| 336 |
_astill image _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 520 | _aSupply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes - strategy, design, execution and people - to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help visualise' the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions. | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aBusiness logistics. | |
| 650 | 0 | _aDecision making. | |
| 650 | 7 |
_aBUSINESS & ECONOMICS / Production & Operations Management _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS / Data Processing / General _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS / Programming / Systems Analysis & Design _2bisacsh |
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| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003084020 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c5764 _d5764 |
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