Title :
Research on agile scheduling decision support system in logistics
Author_Institution :
Sch. of Econ. & Manage., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
Abstract :
By using the running control idea based on agile knowledge rules, the paper researches a general framework of agile scheduling decision support system (ASDSS), and also further researches the database system, the model base and method base in the ASDSS. The paper uses a hierarchical design way to design the database system, and proposes a vehicle optimization model VOM for the model base and a “dichotomic search” algorithm for the method base in the ASDSS, and proves the high efficiency of the model VOM solving algorithm. The research result shows the ASDSS can effectively support the fast implementing of agile scheduling in logistics.
Keywords :
database management systems; decision support systems; logistics; scheduling; search problems; VOM; agile knowledge rules; database system; dichotomic search algorithm; logistics; model VOM solving algorithm; scheduling decision support system; vehicle optimization model; Databases; Decision support systems; Load modeling; Loading; Optimization; Variable speed drives; Vehicles; Agile scheduling; Decision support system; General framework; Logistics;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580534