Enterprise Logistics Network Optimization Based on Genetic Algorithm

Abstract:

After the enterprise has developed to a certain scale, its logistics and supply chains will become more complex. For example,tobacco logistics network optimization of construction can effectively connect all websites of tobacco production, processing, and management.It can also promote lowest logistic cost and the highest efficiency. For building the best tobacco logistics networks, we need to set a scientific logistics nodes .This article established a mathematical model of a logistics network optimization according to existing logistics network system of a tobacco company and geographical characteristics. With the goal of total cost least in logistics system, the models builded up mathematical models which are based on the distance between each distribution center and each point of sales, unit freight, and shipment of each distribution center, in addition to the delivery requirements quantity of each point of sales.It discusses the design and implementation about the logistics network optimization based on genetic algorithm. Finally, it depthly analysised and verified the model and the solutions through cases.

• Periodical: Advanced Materials Research (Volume 744)
• Pages: 595-600
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.744.595
• Online since: August 2013
• Authors: De Peng Liu, Chuan Jun Zhu, Wei Zhou
• Keywords: Genetic Algorithm (GA), Logistics Network, Mathematical Models, Optimization

References

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[2] Wangke. Fuzzy Multi-Object Model and Solution to Design Logistics Facility Network for 3PLS[A]. International Conference on Automation and Logistics[C]. Qingdao, China, September, (2008).

DOI: 10.1109/ical.2008.4636486