Title :
Index modeling and application of multi-resolution logistics nodes location based on Granular Computing
Author :
Zhang Liyan ; Ma Jian ; Sun Yan ; Li Yan
Author_Institution :
Key Lab. of Road & Traffic Eng. of the Minist. of Educ., Tongji Univ., Shanghai, China
Abstract :
The paper presents a novel framework about Multi-Resolution Model (MRM) of Logistics Node Location(LNL) based on the theory of Granular Computing(GC), which integrates the macroscopic, mesoscopic and microscopic logistics location problem. Simultaneously, the paper also discusses the concept of Attribute Reduction(AR) and establishes the application framework of LNL problem. In addition, in logistics location, the minimum attribute reduction, which is a NP-HARD problem, is a core issue. In order to solve the problem, the paper establishes a minimal reduction accurate algorithm. Finally, it develops a Logistics node location system in VB and C++. Then, it simulates and analyses the results based on the location of freight services logistics park in Changsha. Simulation result shows that MRM has a high utility and convenience and the algorithm is effective.
Keywords :
C++ language; Visual BASIC; computational complexity; freight handling; granular computing; logistics; production engineering computing; AR; C++; Changsha; GC; LNL; MRM; NP-HARD problem; VB; attribute reduction; freight services logistics park; granular computing; index modeling; macroscopic logistics location problem; mesoscopic logistics location problem; microscopic logistics location problem; multiresolution logistics nodes location; multiresolution model; Computational modeling; Decision making; Economics; Educational institutions; Indexes; Logistics; Framework of LNL; Granular computing; Logistics node location; Multiresolution model; minimal reduction;
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
DOI :
10.1109/ICSSSM.2014.6943377
