Research On The System Simulation Methodology For Supply Chain Management Decision-Making

Driven by the rapid development of the economic globlization, the competition among enterprises becomes more intensive. Efficient Supply Chain (SC) is considered as an effective approach to improve the enterprise's competitiveness. Therefore, the research of Supply Chain Management (SCM) gained increasing attention from both industry and academic. In order to meet the needs of supporting SCM decision-making, regarding the complexity and uncertainty of SC, this dissertation focusd on the research of SCM system simulation methodologies.SC partners are distributed geographically and the legacy simulation resources are located at multi-heterogeneous information platforms. Taking these features of SC into account, this dissertation proposed a SOA-based distributed simulation implementation framework for supporting SCM decision-making (SOSCS-Framework). Under this framework, the analysis and modeling approaches and related implementation techniques were addressed.Firstly, the SOSCS-Framework was described. Then, this dissertation introduced a simulation system analysis method which concenteted on analyzing SC component elements. Next, a set of three-tier-model drived modeling methods for SC simulation was put forword. Following that, this dissertation discussed some ralated implementation techniques for building the distributed SC simulation system under the SOSCS-Framework.Taking safety stock problem in multi-echelon SC inventory as a case, this dissertation evaluated the proposed simulation modeling methodology. This case study shows that the WS-based distributed SC simulation modeling methedology and techniques are feasible and applicable.