國立虎尾科技大學 |

Supply Chain Analytics = Concepts, Techniques and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Supply Chain Analytics/ by Kurt Y. Liu.
其他題名:	Concepts, Techniques and Applications /
作者:	Liu, Kurt Y.
面頁冊數:	XIX, 377 p. 165 illus., 158 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	IT in Business. -
電子資源:	https://doi.org/10.1007/978-3-030-92224-5
ISBN:	9783030922245

Supply Chain Analytics = Concepts, Techniques and Applications /
Liu, Kurt Y.

Supply Chain AnalyticsConcepts, Techniques and Applications /[electronic resource] :by Kurt Y. Liu. - 1st ed. 2022. - XIX, 377 p. 165 illus., 158 illus. in color.online resource.

Chapter 1: Introduction -- Chapter 2: Data-drive Supply Chains & Intro to Python -- Chapter 3: Data Manipulation -- Chapter 4: Data Visualization -- Chapter 5: Customer Management -- Chapter 6: Supply Management -- Chapter 7: Warehouse & Inventory Management -- Chapter 8: Demand Management -- Chapter 9: Logistics Management.

This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects.

ISBN: 9783030922245

Standard No.: 10.1007/978-3-030-92224-5doiSubjects--Topical Terms:

1064965
IT in Business.

LC Class. No.: TS155-194

Dewey Class. No.: 658.5

Supply Chain Analytics = Concepts, Techniques and Applications /
LDR:02625nam a22003855i 4500 001 1092480
003 DE-He213
005 20220407084223.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030922245 $9 978-3-030-92224-5
024 7 $a 10.1007/978-3-030-92224-5 $2 doi
035 $a 978-3-030-92224-5
050 4 $a TS155-194
072 7 $a KJMV $2 bicssc
072 7 $a BUS087000 $2 bisacsh
072 7 $a KJMV $2 thema
082 0 4 $a 658.5 $2 23
100 1 $a Liu, Kurt Y. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1400245
245 1 0 $a Supply Chain Analytics $h [electronic resource] : $b Concepts, Techniques and Applications / $c by Kurt Y. Liu.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2022.
300 $a XIX, 377 p. 165 illus., 158 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1: Introduction -- Chapter 2: Data-drive Supply Chains & Intro to Python -- Chapter 3: Data Manipulation -- Chapter 4: Data Visualization -- Chapter 5: Customer Management -- Chapter 6: Supply Management -- Chapter 7: Warehouse & Inventory Management -- Chapter 8: Demand Management -- Chapter 9: Logistics Management.
520 $a This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of the applications of data analytics and machine learning to supply chain management. Accessible yet rigorous, this text introduces students to the relevant concepts and techniques needed for data analysis and decision making in modern supply chains and enables them to develop proficiency in a popular and powerful programming software. Suitable for use on upper-level undergraduate, postgraduate and MBA courses in supply chain management, it covers all of the major supply chain processes, including managing supply and demand, warehousing and inventory control, transportation and route optimization. Each chapter comes with practical real-world examples drawn from a range of business contexts, including Amazon and Starbucks, case study discussion questions, computer-assisted exercises and programming projects.
650 2 4 $a IT in Business. $3 1064965
650 1 4 $a Operations Management. $3 1069063
650 0 $a Business information services. $3 654161
650 0 $a Production management. $3 566447
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030922238
776 0 8 $i Printed edition: $z 9783030922252
856 4 0 $u https://doi.org/10.1007/978-3-030-92224-5
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)