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2015 | Buch

Cloud Computing for Logistics

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Logistics Software Systems and Functions: An Overview of ERP, WMS, TMS and SCM Systems
Abstract
Software systems are a crucial part in current logistics processes. The software market for Enterprise Resource Planning, Warehouse Management, Transport Planning and Supply Chain Management systems and the systems themselves are complex. The following article gives an overview about definitions and typical functions of these systems as well as a short introduction to current logistics and technological requirements.
Andreas Nettsträter, Tim Geißen, Markus Witthaut, Dietmar Ebel, Jens Schoneboom
Logistics Mall—A Cloud Platform for Logistics
Abstract
Common characteristics of all logistics processes are individuality and dynamically changing requirements of the customers’ business. Cloud computing enables new business models to provide highly individual IT services that fit the needs of logistics customers. After outlining logistics specific cloud service requirements and the results of a study about the acceptance of cloud computing in logistics domain this paper presents the Logistics Mall, an approach for a domain specific cloud platform for the trading and usage of logistics IT services and logistics processes.
Damian Daniluk, Bernhard Holtkamp
Empirical Qualitative Analysis of the Current Cloud Computing Market for Logistics
Abstract
To determine the opinions, needs, and requirements of the market actors in the cloud computing market for logistics, Fraunhofer IML conducted an empirical market analysis with users and vendors of logistics and IT. Qualitative interviews were used to examine closely the potential of this concept and any barriers to it. The results of this analysis allow conclusions to be drawn about the future development in the logistics and IT industry.
Maren-Bianca Wolf, Jonas Rahn
The Logistics Mall—An IT-Architecture for Logistics-as-a-Product
Abstract
The Logistics Mall extends the cloud service model from Software-as-a-Service (SaaS) to Business Process-as-a-Service (BPaaS). Its architecture, hence, spans from a web-based public B2B marketplace for simple apps, traditional applications and even logistics process templates to customer-specific cloud based execution environments for instantiated process models and therein included applications. For communication with the mall outside world a specific gateway is provided that controls inbound and outbound message flow.
Bernhard Holtkamp
Business Apps Meet the Challenge of Covering Continually Changing Logistics Requirements
Abstract
This paper describes a business app approach that is used within the Logistics Mall to develop and to execute autonomous IT services. These services are called “Apps” because they focus on a single business function. In this paper the three different kinds of business apps and the architectural components are described based on continually changing logistics requirements. The key aspect of this article is the Workbasket component for apps, including a graphical user interface to manage a task list.
Julian Eggemann, Jens Leveling, Norbert Weiß
Seamless Interoperability in Logistics: Narrowing the Business-IT Gap by Logistics Business Objects
Abstract
Logistics IT is shifting from large, monolithic software systems to smaller, modular applications (“apps”) that can be flexibly composed to support individual business processes. In order to anticipate extensive integration projects, seamless interoperability is a crucial requirement. This paper outlines a standards-based logistics Business Object model that narrows the business-IT gap and simplifies logistics IT services regarding development and integration.
Martin Böhmer, Michael Schmidt, Norbert Weißenberg
Challenges of Cloud Business Process Management
Abstract
Cloud Business Process Management means more than outsourcing of the Process Editor and the Execution Engine. The overall Process lifecycle has to be adopted to face the challenges of Cloud Computing. In this chapter we discuss these challenges and present our solutions to reconcile cost efficiency, security, availability, agility and low administration overhead.
Iryna Bochon, Volker Ivens, Ralf Nagel
Metadaten
Titel
Cloud Computing for Logistics
herausgegeben von
Michael ten Hompel
Jakob Rehof
Oliver Wolf
Copyright-Jahr
2015
Electronic ISBN
978-3-319-13404-8
Print ISBN
978-3-319-13403-1
DOI
https://doi.org/10.1007/978-3-319-13404-8