Role-Based Knowledge Structures in Complex Adaptive Logistics Systems A Methodology for Building an Autonomous Cooperation-based Simulation Model

摘要：

The goal of this paper is to provide a fundamental methodical approach for identifying actors in Complex Adaptive Logistics Systems to deduce knowledge that can be implemented into the decision structures of intelligent logistics objects. This serves as a basis for further simulation-based studies regarding the efficiency of the usage of autonomous cooperation-based technologies in logistics services. For this purpose, role theory is applied and connected to knowledge engineering, and the resulting methodology is critically discussed regarding its contributions and limitations.

关键词： role theory complex adaptive logistics systems knowledge engineering multi agent-based models

作者: Michael Hulsmann Anne Schwientek Philip Cordes Bernd Scholz-Reiter Christian Zabel

作者单位: Systems Management, International Logistics Jacobs University Bremen Bremen, Germany Department of Planning and Control of Production Systems (PSPS)University of Bremen Bremen, Germany

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Advanced Management Science(2010年IEEE高级管理科学国际会 IEEE ICAMS 2010)

会议地点: 成都

会议语种:英文

页码: 340-344

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）