Title :
Notice of Retraction
The quantitative analysis abased on logistics integration degree
Author :
Rui-Jiang Wang ; Yi Hong Ru ; Xiao-Xia Zhu
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the development of economy, in recent years, China´s logistics infrastructure has been the rapidly developed, at the same time; there have been blind investment and competition with each other, the logistics infrastructure facilities tendency. For the situation of many, small, weak, scattered, slow in logistics resources, the concept of integration was put forward, In China the rapid and steady development of the logistics industries has been developed through the integration of existing logistics systems. Logistics system integration has been an important part of the overall strategy for many enterprises. Of course, System integration is not endless; there should be the measure of ldquodegreerdquo. In this paper, we will research and analysis of the logistics system integration from the perspective of system integration, and put forward the optimal integration degree according to logistics system.
Keywords :
logistics data processing; strategic planning; China logistics infrastructure; logistics industries; logistics infrastructure facilities; logistics integration degree; logistics resources; logistics system integration; quantitative analysis; Construction industry; Costs; Cybernetics; Educational institutions; Investments; Logistics; Machine learning; Scattering; Stability; Transportation; Integration; Logistics system; Logistics system integration degree;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Hebei
Print_ISBN :
978-1-4244-3702-3
DOI :
10.1109/ICMLC.2009.5212663