國立虎尾科技大學 |

Cloud computing for logistics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cloud computing for logistics/ edited by Michael Hompel, Jakob Rehof, Oliver Wolf.
其他作者:	Ten Hompel, Michael.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	vii, 139 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Business logistics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-13404-8
ISBN:	9783319134048 (electronic bk.)

Cloud computing for logistics
Cloud computing for logistics[electronic resource] /edited by Michael Hompel, Jakob Rehof, Oliver Wolf. - Cham :Springer International Publishing :2015. - vii, 139 p. :ill. (some col.), digital ;24 cm. - Lecture notes in logistics,2194-8917. - Lecture notes in logistics..

Logistics software systems and functions: an overview of ERP, WMS, TMS and SCM systems -- Logistics Mall - A cloud platform for logistics -- Empirical Qualitative Analysis of the Current Cloud Computing Market for Logistics -- The Logistics Mall An IT-Architecture for Logistics-as-a-Product -- Business Apps meet the challenge of covering continually changing logistics requirements -- Seamless Interoperability in Logistics: Narrowing the Business-IT Gap by Logistics Business Objects -- Challenges of Cloud Business Process Management.

This edited monograph brings together research papers covering the state of the art in cloud computing for logistics. The book includes general business object models for intralogistics as well as user-friendly methods for logistics business process design. It also presents a general template for logistics applications from the cloud. The target audience primarily comprises researchers and experts in the field, but the book will also be beneficial for graduate students

ISBN: 9783319134048 (electronic bk.)

Standard No.: 10.1007/978-3-319-13404-8doiSubjects--Topical Terms:

562973
Business logistics.

LC Class. No.: HD38.5

Dewey Class. No.: 658.7

Cloud computing for logistics
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520 $a This edited monograph brings together research papers covering the state of the art in cloud computing for logistics. The book includes general business object models for intralogistics as well as user-friendly methods for logistics business process design. It also presents a general template for logistics applications from the cloud. The target audience primarily comprises researchers and experts in the field, but the book will also be beneficial for graduate students
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