Author(s):  
Sakesun Suthummanon ◽  
Pallapat Penjamras ◽  
Somboon Jaroenjiratrakul ◽  
Sopin Suddsa-oad ◽  
Nikorn Sirivongpaisal

2013 ◽  
Vol 336-338 ◽  
pp. 2500-2503
Author(s):  
Yong Tan ◽  
Dan Wu

According to the specialty of fresh agricultural products, a delivery model was established. The model consists of single distribution center and multiple demand points. The integrated cost which consists of transport cost and time cost was taken as the optimization objective. It is used as weight in classic Dijkstra algorithm instead of distance. We also used a case study to illustrate saving method and classic Dijkstra algorithm with integrated cost. The comparison was conducted by calculating the integrated cost of optimal routes separately. Following the comparison, we draw a conclusion that in the field of fresh agricultural products distribution, classic Dijkstra algorithm which takes integrated cost as optimization objective is superior to the saving method in which distance is the optimization objective.


Author(s):  
Mohammad Khairul Islam ◽  
Md. Mahmud Alam ◽  
Mohammed Forhad Uddin ◽  
Gazi Mohammad Omar Faruque

In this paper, we have formulated a mixed integer linear programming (MILP) model for the distribution design of Agricultural products in Bangladesh. The scheme of distribution is very important for the supply chain network (SCN), which is choosing the suitable distribution center (DC) for the distribution of the products. This study is a real life distribution problem. To developed this model, we have collected data from various market players who are directly or indirectly involved in Agriculture sector. We have to solve this model, by using a mathematical programming language (AMPL). We have verified a multi-stage SCN, which includes producer, DC and customer. Also this model is to optimize profit, allocations of the products and most useable DC which satisfied most of the customer demands. Finally, we can analyze the profit for the uncertainty parameters.


2021 ◽  
Vol 2083 (3) ◽  
pp. 032009
Author(s):  
Meng Wang

Abstract Vehicle scheduling is one of the most important links in logistics distribution, a large number of demands also lead to logistics companies have to reasonably arrange the transportation of vehicle routes to save costs. By optimizing the distribution routes of vehicles, logistics companies can save transportation mileage and thus save transportation costs. In this paper,10 demand points of an agricultural products logistics company in Beijing are selected, and the location of the distribution center is obtained through the center of gravity method. Finally, the route allocation is completed by using the mileage saving algorithm, and the scheduling of transport vehicles is realized. The example shows that the mileage saving algorithm can optimize the vehicle route and realize route allocation.


Sign in / Sign up

Export Citation Format

Share Document