Title :
Knowledge-Based Logistics Management in Distribution Plan
Author :
Xiao, Hong ; Sun, Xiaonian ; Guo, Xiaohong ; Chen, Youlin
Author_Institution :
Sch. of Manage., Chongqing Jiaotong Univ., Chongqing, China
Abstract :
Intensified globalization and consequent competitive pressures have reemphasized the importance of third party logistics (3PL). supply chain management (SCM) and intelligent system(IS) support logistics management system, The proposed knowledge-based logistics management system ( K-LMS ) is a hybrid integration of knowledge processing modules: a mathematical algorithm for calculating ,the capability value of customers´ suppliers. In order to improve the quality of decision making, this paper proposes a knowledge-based logistics management system (K-LMS) to support logistics managers with the provision of the most satisfactory results in distribution plan .
Keywords :
decision making; knowledge management; mathematical analysis; supply chain management; supply chains; consequent competitive pressures; decision making; distribution plan; intelligent system; intensified globalization; knowledge processing modules; knowledge-based logistics management; mathematical algorithm; supply chain management; support logistics management system; third party logistics; Companies; Globalization; Intelligent transportation systems; Inventory management; Knowledge management; Logistics; Manufacturing; Quality management; Supply chain management; Supply chains;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5303217
