Title :
Study on the performance reverse logistics system for enterprises base on GA
Author_Institution :
East China Jiaotong Univ., Nanchang
Abstract :
In order to solve the problem of the natural resource consumption which is threatening the human survival, it is essential to construct the reverse logistics system (RLS) in the global scope to acquire the circulation economy. In view of such four factors as the infrastructure of RLS, the level of utilization of RLS, the knowledge level of staff of RLS and the level of system ensures of RLS, the Model of performance appraising & optimizing of the reverse logistics system for enterprises (MPAORLSE) in this article are presented. The model is solved by means of genetic algorithms(GA), so its result has much more objectivity. This model can be used to direct enterprises to appraise its performance of RLS, or to compare the performance with that of its rival.
Keywords :
environmental factors; genetic algorithms; logistics; circulation economy; enterprise appraisal; genetic algorithm; natural resource consumption problem; reverse logistics system performance; Appraisal; Costs; Councils; Economic indicators; Genetics; Humans; Intelligent systems; Resonance light scattering; Reverse logistics; Waste management;
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
DOI :
10.1109/GSIS.2007.4443463