Design of supply-chain logistics system considering service level
Computers and Industrial Engineering - Supply chain management
Performance measurement of supply chain management: A balanced scorecard approach
Computers and Industrial Engineering
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Key performance indicators: developing, implementing, and using winning kpis
Key performance indicators: developing, implementing, and using winning kpis
On performance evaluation of ERP systems with fuzzy mathematics
Expert Systems with Applications: An International Journal
Development of RFID-based Reverse Logistics System
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
Reliability evaluation of a stochastic-flow distribution network with delivery spoilage
Computers and Industrial Engineering
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Due to the IT advances, the logistics management faces a change to the new era. This article proposes a novel method to evaluate the real-time overall performance of a logistics network for a supply chain. The corresponding strategies to manage the underperformed channels can be subsequently obtained in the method. Thus, the logistics network can be managed timely under the stochastic environment, and it makes the SCM robust. The overall performance of the logistics network is integrated by the individual logistics channel real-time performance which can be easily obtained by the new IT technologies such as RFID, etc. The fuzzy-scorecard is introduced to indicate the measured key performance indicators (KPI) for the network. Some numerical examples are presented to illustrate the various scenarios of management for the proposed method.