Quantitative Models for Supply Chain Management
Quantitative Models for Supply Chain Management
Process Management in Supply Chains -- A New Petri-Net Based Approach
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
A formal modeling approach for supply chain event management
Decision Support Systems
Computers and Industrial Engineering
Two inventory review policies on supply chain configuration problem
Computers and Industrial Engineering
A novel predictive control based framework for optimizing intermodal container terminal operations
ICCL'12 Proceedings of the Third international conference on Computational Logistics
SYRMA: a tool for a system approach to risk management in mission critical systems
International Journal of Business Information Systems
Association rule hiding in risk management for retail supply chain collaboration
Computers in Industry
The effects of a trust mechanism on a dynamic supply chain network
Expert Systems with Applications: An International Journal
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The aim of this study is to show how a timed Petri nets framework can be used to model and analyze a supply chain (SC) network which is subject to various risks. The method is illustrated by an industrial case study. We first investigate the disruption factors of the SC network by a failure mode, effects and criticality analysis (FMECA) technique. We then integrate the risk management procedures into design, planning, and performance evaluation process of supply chain networks through Petri net (PN) based simulation. The developed PN model provides an efficient environment for defining uncertainties in the system and evaluating the added value of the risk mitigation actions. The findings of the case study shows that the system performance can be improved using risk management actions and the overall system costs can be reduced by mitigation scenarios.