Towards Fourth-party Logistics Providers - A Business Model for Cloud-based Autonomous Logistics

Cloud computing denotes a paradigm shift in computing that enables a flexible allocation of hardware and software resources on demand. Therewith, it is particularly appealing for applications with a high degree of computational complexity and dynamics. This paper identifies logistics planning and control as a promising application for clouds. However, two prerequisites must be met for cloud-based logistics control. Firstly, the platform-as-a-service layer must provide a synchronisation of the physically distributed real-world material flows and the data flows in the cloud. Secondly, appropriate and scalable control software must be implemented on the software-as-a-service layer. Apart from outlining the technical foundations, this paper describes how both steps enable a business model that is usually referred to as fourth-party logistics.

[1]  Ryszard Kowalczyk,et al.  WS2JADE: Integrating Web Service with Jade Agents , 2007, SOCASE.

[2]  John W. Rittinghouse,et al.  Cloud Computing: Implementation, Management, and Security , 2009 .

[3]  Jan Holmström,et al.  Intelligent Products: A survey , 2009, Comput. Ind..

[4]  Agostino Poggi,et al.  Developing Multi-agent Systems with JADE , 2007, ATAL.

[5]  Bernhard Hofmann-Wellenhof,et al.  GNSS - Global Navigation Satellite Systems: GPS, GLONASS, Galileo, and more , 2007 .

[6]  K. Ducatel,et al.  Scenarios for Ambient Intelligence in 2010 Final Report , 2001 .

[7]  Sandeep K. S. Gupta,et al.  An overview of pervasive computing , 2001, IEEE Wirel. Commun..

[8]  Jan D. Gehrke,et al.  Traffic Prediction for Agent Route Planning , 2008, ICCS.

[9]  Christian Floerkemeier,et al.  Facilitating RFID Development with the Accada Prototyping Platform , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[10]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[11]  Reid G. Smith,et al.  The Contract Net: A Formalism for the Control of Distributed Problem Solving , 1977, IJCAI.

[12]  Monique Calisti,et al.  Engineering Web service - agent integration , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[13]  Klaus-Dieter Thoben,et al.  The Application of the EPCglobal Framework Architecture to Autonomous Control in Logistics , 2009, LDIC.

[14]  Dimitris Kiritsis,et al.  Research issues on product lifecycle management and information tracking using smart embedded systems , 2003, Adv. Eng. Informatics.

[15]  Kary Främling,et al.  Information architecture for intelligent products in the internet of things , 2008 .

[16]  William J. Cook,et al.  The Traveling Salesman Problem: A Computational Study , 2007 .

[17]  Agostino Poggi,et al.  Enabling FIPA Agents on Small Devices , 2001, CIA.

[18]  Jan Holmström,et al.  Agent-based model for managing composite product information , 2006, Comput. Ind..

[19]  Arne Schuldt,et al.  Multiagent Coordination Enabling Autonomous Logistics , 2011, KI - Künstliche Intelligenz.

[20]  Jeffrey D. Ullman,et al.  Information integration using logical views , 1997, Theor. Comput. Sci..

[21]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[22]  Katia P. Sycara,et al.  Multi-agent Infrastructure, Agent Discovery, Middle Agents for Web Services and Interoperation , 2001, EASSS.

[23]  Brian Hayes,et al.  What Is Cloud Computing? , 2019, Cloud Technologies.

[24]  M. Weiser The Computer for the Twenty-First Century , 1991 .

[25]  Klaus-Dieter Thoben,et al.  A Semantic Mediator for Data Integration in Autonomous Logistics Processes , 2010, I-ESA.

[26]  Walter Lang,et al.  The Benefits of Embedded Intelligence - Tasks and Applications for Ubiquitous Computing in Logistics , 2008, IOT.

[27]  Chang Oan Sung,et al.  Towards reliable OSGi framework and applications , 2006, SAC '06.

[28]  Peter H. Cole,et al.  Auto ID - 21st century supply chain technology , 2002 .

[29]  Luc Moreau,et al.  Agents for the Grid: A Comparison with Web Services (Part I: Transport Layer) , 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).

[30]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.