scholarly journals A simulation optimization approach to apply value at risk analysis on the inventory routing problem with backlogged demand

2014 ◽  
Vol 5 (4) ◽  
pp. 603-620 ◽  
Author(s):  
Mohammad Abdollahi ◽  
Meysam Arvan ◽  
Aschkan Omidvar ◽  
Fatemeh Ameri
Keyword(s):  
At Risk ◽  
Risk Analysis ◽  
Value At Risk ◽  
Simulation Optimization ◽  
Optimization Approach ◽  
Inventory Routing ◽  
Routing Problem ◽  
Inventory Routing Problem

Optimization Approach for Multi-Stork Inventory Routing Problem

2011 ◽  
Vol 268-270 ◽  
pp. 1637-1640
Author(s):  
Jun Cheng Lei ◽  
Yan Peng Wu ◽  
Wen Fei Zeng
Keyword(s):  
Integrated Management ◽  
Unit Cost ◽  
Optimization Approach ◽  
Inventory Routing ◽  
Transport Costs ◽  
Routing Problem ◽  
Inventory Routing Problem ◽  
Distribution Costs ◽  
Delivery Routes ◽  
Key Issues

Inventory routing problem is one of the key issues to achieve integrated management of logistics. Solving this problem effectively, we can improve vehicle utilization, and reduce distribution costs. This paper, concerning the problem in inventory routing of multi-variety, multi-vendor to multi-customers, proposed heuristic algorithm based on greedy rules. The core strategy of the algorithm is to choose circularly the current lowest unit cost routine ---Hamilton delivery routes. Simulation shows that the algorithm reduces the unloaded ratio of truck, raises the efficiency of truck delivery and saves transport costs.

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