Title :
Reconstruction Model of Agile Logistics Based on Decision-Making Method of Gray Relational Grade
Author :
Tao, Junjie ; Li, Yisong ; Yao, Mingzhi
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
Abstract :
A reconstruction model of agile logistics was proposed in this paper, based on related agile and agile logistics research. At first, there was a short discussion about the agile logistics modular thinking and modular categories based on the operation of agile logistics processes, then the level of the customer service parameters and the functional modules of the logistics (transport, storage, distribution, package, etc) were analyzed by the antinomy relations between customer service and logistics cost, and then, the objective function of the reconstruction was identified. Secondly, the gray relational grade was used to acquire the result of decision-making result of the reconstruction model of agile logistics. At last, a real application was given for the model, calculated the gray relational grade and geted the best decision.
Keywords :
decision making; logistics data processing; agile logistics; customer service parameters; decision-making method; functional modules; gray relational grade; reconstruction model; Artificial intelligence; Computational intelligence; Computational modeling; Cost function; Customer service; Decision making; Information processing; Logistics; Packaging; Supply chains; agile logistics; decision-making method; gray relational grade; reconstruction model;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.18
