Optimization Model and Algorithm for the Size of Function Areas in Distribution Center under Constraint

Author(s):  
Qin Jin
2013 ◽  
Vol 96 ◽  
pp. 1008-1013 ◽  
Author(s):  
Yingfeng Ji ◽  
Hualong Yang ◽  
Yan Zhang ◽  
Weixin Zhong

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ying Zhao ◽  
Yan Shi ◽  
Hamid Reza Karimi

Numerous items, small order, and frequent delivery are the characteristics of many distribution centers. Such characteristics generally increase the operating costs of the distribution center. To remedy this problem, this study employs the Entry-Item-Quantity (EIQ) method to identify the characteristic of the cigarette distribution center and further analyzes the importance degree of customers and the frequently ordered products by means of EQ/EN/IQ-B/IK statistic charts. Based on these analyses as well as the total replenishment cost optimization model, multipicking strategies and combined multitype picking equipment allocation is then formulated accordingly. With such design scheme, the cigarette picking costs of the distribution center are expected to reduce. Finally, the specific number of equipment is figured out in order to meet the capability demand of the case cigarette distribution center.


Author(s):  
Hui Hu ◽  
Jianliang Li ◽  
Xudong Zhao

Taking environmental concerns into consideration, a logistics distribution center location-route multi-objective optimization model and its solving algorithm are studied in multi-modal transport network context. The objective functions in the model include total operation cost, delivery time and carbon emission goals. The model’s decision variables are product volumes with different transport modes and the constraints concerned with investment budget, limited capacity etc. Aimed at the model structure, a two-stage heuristic solving algorithm for single objective model is put forward and its validity is proved. On the basis of solutions which are searched by the heuristic solving algorithm, an optimal solution is obtained using one of multi-objective evaluation methods. Finally, a large scale multi-modal distribution network example is provided to illustrate feasibility and effectiveness of the model and the algorithm by comparing solving efficiency and results, and it finds a railway-based multi-modal transport network has the most competitive advantage.


2013 ◽  
Vol 373-375 ◽  
pp. 1031-1035
Author(s):  
Kai Chen ◽  
Mao Xiang Lang

In many cities, large trucks cant be used to delivery in the urban district, but in the suburbs all kinds of vehicles can be used. To solve the problem, this paper establishes the optimization model and designs a solving method using a genetic algorithm (GA), taking Zigong tobacco distribution center for example. Comparing with the data calculated by empirical distribution route, the results show that the total distance declines 155.47 km, the number of different type vehicles reduces 1-2 and the average load rate increased by 68.3% to 85.1%.


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