Title
Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning
Abstract
Post-seismic inventory and logistics planning under incomplete and fuzzy information is an important yet understudied area in supply chain risk management. The goal of this paper is to propose a system dynamics model to analyze the behaviors of disrupted disaster relief supply chain by simulating the uncertainties associated with predicting post-seismic road network and delayed information. The simulation results indicate: (1) information delay has different influences over the relief head-quarter (the upstream) and the disaster-affected areas (the downstream); and (2) the change of road conditions and shipment schedules have impact on the on-time transportation rate in supply chain management. Furthermore, this paper defined and tested supplies' replenishment solutions combined with three inventory planning strategies and four forecasting methods under different lead time uncertainties. The results show that: (1) a strategy that considers information from both the post-seismic management center and the affected areas can provide a better logistic plan than an one takes information from one side; (2) the smooth-the-trend forecasting method is suitable for inventory and logistic planning when the post-seismic situations are volatile, while the quick-response forecasting method has good performance in stable environments. In addition, this paper proposes decision tree to help decision makers choose the appropriate stocking strategies.
Year
DOI
Venue
2014
10.1016/j.cor.2013.03.003
Computers & OR
Keywords
DocType
Volume
post-seismic road network,forecasting method,inventory planning strategy,disaster relief supply chain,system dynamics disruption analysis,Post-seismic supply chain risk,logistic planning,post-seismic management center,delayed information,information delay,fuzzy information,Post-seismic inventory
Journal
42,
ISSN
Citations 
PageRank 
0305-0548
14
0.81
References 
Authors
9
3
Name
Order
Citations
PageRank
Min Peng1151.16
Yi Peng2130378.20
Hong Chen3140.81