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Research And Application Of Logistics Management Optimization

Posted on:2019-10-06Degree:MasterType:Thesis
Country:ChinaCandidate:S L LiFull Text:PDF
GTID:2392330590984301Subject:Project management
Abstract/Summary:PDF Full Text Request
DS Company is an auto parts manufacturing enterprise with a large scale,various specifications but small quantities.Its order sources are diverse and the demand for the purchase and manufacture of parts is a great variety.However,the company's site resources are extremely limited.The limitation of sites have higher requirements for the fast and effective flow of raw materials,semi-finished products and finished products.It is also a key and difficult point to optimize logistics management.Nowadays,the automobile industry is facing an unpredictable buyer's market,which is similar to small and medium-sized enterprises like DS company.Under the complex and changeable market environment,how can we break through the traditional production organization mode and logistics route in order to respond more quickly to the individual needs of this buyer's market,and win the favor of customers,thereby getting a seat in the market and becoming a major issue for many enterprises in the same field.Combined with the requirements of DS company's production and requirements of site characteristics,this paper puts forward some revolutionary reforms on the logistics management mode of centralized online distribution on the basis of predecessors' research.It is hoped that this model can be better applied and implemented in similar enterprises,thus providing some references for the development of China's automobile industry.Firstly,this paper introduces the research background,the present situation of the centralized online distribution logistics at home and abroad,and analyzes the purpose and significance of the research.It summarizes the problems existing in the research of logistics management and optimization in the workshop of large-scale,multi-specification and small-batch manufacturing enterprises,and sums up the relevant research status at home and abroad.Secondly,the concepts of large-scale logistics,workshop logistics,centralized online distribution and large-scale multi-specifications are defined.At the same time,workshop logistics management,VIP inventory management,lean logistics theory and industrial engineering theory are summarized.By collecting,collating and researching the theories of the current domestic and foreign centralized logistics distribution,this paper provides a theoretical basis for the following optimization scheme and implementation.Thirdly,the logistics characteristics,problems and new characteristics of specific workshop logistics in the form of centralized online distribution are expounded.An optimized logistics management model for large-scale and multi-specification manufacturing enterprises is proposed.Moreover,the main factors are analyzed,and the process of this optimization logistics management is briefly described.Fourthly,the key methods about optimization of centralized online logistics management are further studied.Starting with the concepts of fuzzy theory and cluster analysis,as well as combining the relevant principles like fuzzy set theory and cluster analysis with the logistics production status quo of large-scale and multi-specification manufacturing enterprises,a fuzzy clustering analysis method for large quantity and discrete products or parts in production workshop are put forward.At the same time,through strength analysis and the obtainment of clustering optimization effect,solutions to solve the centralized online distribution problems on the different link,the optimization of the scheme,the presentation of optimized effect and safeguard measures are demonstrated based on this clustering method.At the end of the paper,the research conclusion will be drew,and the significance,innovation and follow-up research directions are explained.
Keywords/Search Tags:auto parts, large scale multi-specification, centralized online distribution, fuzzy clustering
PDF Full Text Request
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