Authors:
Jun Su
and
Li-jun Cao
Affiliation:
Jinan University, China
Keyword(s):
System Dynamics, Dynamic Alliance of Logistics, Task Decomposition, Emergency.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Problem Solving
;
Scheduling and Planning
;
Strategic Decision Support Systems
Abstract:
It analyzed several key factors by system dynamics that the task decomposition in emergency logistics impact on dynamic alliance of logistics. These factors included inter-constraints, quality of cooperation, collaboration time, ability to adapt with each other, core capabilities of logistics. To establish diagram and system dynamics model, it can forecast and analysis disadvantages of task decomposition in emergency logistics. It can for the government emergency management to provide strategic adjustment decision support. On this basis, it simulated the task decomposition of system dynamics model on dynamic alliance of logistics by EXCEL, tested and verified this way was a feasible approach.