Algorithm for the Inventory-Routing Problem Based on R-System

2012 ◽  
Vol 487 ◽  
pp. 312-316
Author(s):  
Hong Peng Zhu ◽  
Yan Peng Wu ◽  
Xiao Hong Li

The inventory-routing problem is an important approach for the enterprises to save energy and improve efficiency. The improvement of the utilization rate of vehicles and the reduction of the dispatching cost can be realized by solving this problem effectively. This thesis focuses on the inventory-routing problem and put forward a heuristic algorithm based on the greedy rules whose key strategy is to cycle select the Hamilton transportation route with the current lowest unit cost. The simulation example indicates that this algorithm can effectively improve the trucking efficiency and save the transporting cost.

2011 ◽  
Vol 268-270 ◽  
pp. 1637-1640
Author(s):  
Jun Cheng Lei ◽  
Yan Peng Wu ◽  
Wen Fei Zeng

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.


4OR ◽  
2016 ◽  
Vol 14 (4) ◽  
pp. 377-404 ◽  
Author(s):  
Oualid Guemri ◽  
Abdelghani Bekrar ◽  
Bouziane Beldjilali ◽  
Damien Trentesaux

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