Loading...
Please wait, while we are loading the content...
Similar Documents
The Research on Supplier Selection Model of the Third Party Logistics Based on Grey Clustering
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhou, Yewang |
| Abstract | determine the whole competitive power of supply chain directly, selecting a suitable supplier of the third party logistics become an important component of the modern enterprise strategy. The paper has introduced the index of the third party logistics supplier evaluation at first, then has introduced the existing supplier selection method, point out the disadvantage of different methods, propose supplier selection model of the third party logistics on the basis of gray clustering and multi-objective decision-making with entropy weight, thus get the best supplier. At last set a simple example to explain the validity of the method, which can solve finely the problem of supplier selection of the third party logistics. I. INTRODUCTION Enterprises should concentrate their attention on one's own key business in nowadays fierce international competition, utilize outside resource to outsource non-core business at the same time [1]. The main business is logistics business in the outsourcing business, logistics as the important component of supply chain plays an important role in whole efficiency and cost of supply chain. Logistics certainly will influence enterprises development as " the third profit source " of enterprises. So enterprise should utilize fully the third party logistics resource which can reduce logistics cost and can also get the channel resource and information technical support of third party logistics [2]. But because logistics outsourcing is a enterprise strategic issue, the third party logistics need establish a kind of long-term and strategic partnership with enterprise. So it is necessary for enterprises to set up a suitable logistics supplier selection index system and method to help enterprises to select and evaluate potential the third party logistics. This paper put forward the third party logistics supplier selection model on the basis of grey clustering and multi-objective decision-making with entropy weight, which can offer help for enterprise to select the third party logistics supplier scientifically and rationally. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijmo.org/papers/422-C1006.pdf |
| Alternate Webpage(s) | http://ijmo.org/papers/422-C1006.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Cluster analysis Decision Making Genetic Selection Logistics Numerous Outsourcing Technical support statistical cluster |
| Content Type | Text |
| Resource Type | Article |
