Study & Application On The Pivotal Optimization Techniques Of The Finished Vehicle Logistics Storage Network

In recent years, along with the market competition day by day aggravating and the cost pressure unceasing increase, the domestic entire vehicle physical distribution enterprise faced generally is reducing the cost and the promotion service contradiction, through the optimization achieved the physical distribution cost and the service level best balance, became suspends in front of all entire vehicle physical distribution enterprise important also an urgent topic. The warehousing network relates the entire vehicle physical distribution directly the cost and the service level, therefore its optimization belongs to most important also the effective entire vehicle physical distribution optimization. But the entire vehicle physical distribution warehousing network complexity and the polytropy had decided its optimized work difficulty and the risk, domestic the research which optimizes in view of the entire vehicle physical distribution warehousing network also relatively are at present weak, each entire vehicle physical distribution enterprise not yet forms the optimization techniques and the method which advanced, practical, may promote, how realizes the scientific nature, the validity and the accuracy which the warehousing network optimizes is the question which the entire vehicle physical distribution enterprise urgent needs to solve.This article unifies the domestic entire vehicle physical distribution profession the characteristic and the operation practice, proposed a set the quantitative evaluation technology and the qualitative analysis technology integration entire vehicle physical distribution warehousing network optimization methodology, among: The quantitative evaluation technology is in analyzes the entire vehicle physical distribution warehousing network topology, the operation pattern, as well as in the cost constitution foundation, established has most lowered take the physical distribution cost as the objective function mix integer programming decision-making model, because this model belonged to the model NP-hard question, the recombination entire vehicle physical distribution warehousing network characteristic, has introduced the genetic algorithm and unifies the computer technology to carry on the solution; The qualitative analysis technology based on the profession present situation, applies Deuel Philippines methods and so on expert law, analytic hierarchy process, has established the pacing factor target appraisal system and the corresponding analysis model uses in appraising the decision-making. In order to confirm this methodology the validity and the serviceability, this article unifies the domestic some well-known entire vehicle physical distribution enterprise the actual service and the correlation data, has conducted the real diagnosis research to it, has obtained the satisfying effect.This article first elaborated studies the entire vehicle physical distribution warehousing network optimization techniques the main purpose, the significance, as well as work achievement and innovation spot. Next, has carried on the summary to the ordinary cargo physical distribution network optimization techniques domestic and foreign research and the application achievement, and had determined the entire vehicle physical distribution warehousing network optimizes the key technologies research the technical route. Meets down, this article optimized the key technologies to the entire vehicle physical distribution warehousing network to do the thorough research, proposed the quantitative evaluation technology and the qualitative analysis technology integration optimized methodology. Afterwards, this article unifies the enterprise practice, uses the methodology which proposed to carry out a complete warehousing network optimization process, has completed to the theory technology real diagnosis analysis. Finally, this article to studied the process and the achievement has carried on the review summary, proposed the pending further studied the question, has made the forecast to the next research aim and the direction.