Multi-criteria logistics distribution network design using SAS/OR
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Simple algorithms for updating multi-resource allocations in an unreliable flow network
Computers and Industrial Engineering
Computers and Industrial Engineering
Computers and Operations Research
Industry: using dynamic WSNs in smart logistics for fruits and pharmacy
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Fuzzy-scorecard based logistics management in robust SCM
Computers and Industrial Engineering
Reliability evaluation for a manufacturing network with multiple production lines
Computers and Industrial Engineering
Supply chain system design integrated with risk pooling
Computers and Industrial Engineering
| Hi-index | 0.00 |
From the supply chain management perspective, this paper focuses on evaluating network reliability of a stochastic-flow distribution network (SFDN) under the delivery spoilage consideration. An SFDN is composed of nodes and routes, where each node denotes a supplier, a transfer center, or a market, and each route connects a pair of nodes. Along each route, there is a carrier whose available capacity is stochastic. Moreover, goods may rot or be spoilt during delivery due to traffic accidents, collisions, natural disasters, weather, time, etc., and thus the intact goods may not satisfy the market demand. Network reliability is defined as the probability that the SFDN can satisfy the market demand under the delivery spoilage consideration and the delivery budget constraint, and can be regarded as a performance index for distribution activity in supply chain management. An algorithm is developed in terms of minimal paths to evaluate network reliability. A numerical example is given to illustrate the solution procedure. Then a practical case of fruit distribution is presented to emphasize the management implication of network reliability.