Real-Time Logistics and Virtual Experiment Fields for Adaptive Supply Networks

Deciding quickly and reliably are key factors for the successful management of adaptive supply networks. This requires real-time information about the current situation and anticipated future behavior in the supply chain. Furthermore, the actors in distribution networks need fast and reliable decision support. This paper presents a process model and implementation guidelines for the concept of Virtual Experiment Fields. This approach combines the knowledge of experienced human planners with a powerful simulation tool and reasoning engines. Through synergetic interaction, verified decisions in complex supply network will be available near real-time.

[1]  Jay van Wyk,et al.  External Risks and the Global Supply Chain in the Chemicals Industry , 2005 .

[2]  Bernd Hellingrath,et al.  Logistische Assistenzsysteme - Entscheidungsunterstützung für eine robuste Logistik , 2008 .

[3]  Efraim Turban,et al.  Decision Support and Expert Systems: Management Support Systems , 1990 .

[4]  Efraim Turban,et al.  Decision support and expert systems , 1993 .

[5]  Hartmut Stadtler,et al.  Supply Chain Management and Advanced Planning , 2000 .

[6]  Johann Dréo,et al.  Metaheuristics for Hard Optimization: Methods and Case Studies , 2005 .

[7]  Yufei Yuan,et al.  Supply chain collaboration alternatives: understanding the expected costs and benefits , 2002, Internet Res..

[8]  E. Westkämper Die Digitale Fabrik— Kontinuierliche und Partizipative Planung , 2002 .

[9]  Hans-Christian Pfohl Logistikmanagement : konzeption und funktionen , 2021 .

[10]  Axel Wagenitz,et al.  Modellierungsmethode zur Auftragsabwicklung in der Automobilindustrie , 2007 .

[11]  Christoph Laroque,et al.  A cross-level approach to distribution planning , 2012 .

[12]  Tobias Hegmanns,et al.  Rfid-Based Real-Time Decision Support in Supply Chains , 2011 .

[13]  Herbert Meyr,et al.  Supply chain planning in the German automotive industry , 2004, OR Spectr..

[14]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[15]  Hartmut Stadtler,et al.  Negotiation-based collaborative planning between supply chains partners , 2005, Eur. J. Oper. Res..

[16]  Hartmut Stadtler,et al.  Supply Chain Management and Advanced Planning: Concepts, Models, Software, and Case Studies , 2010 .