DocumentCode
127081
Title
Evaluation and optimization on logistics capability of the postal agricultural logistics system
Author
Li Hong ; Zhang Bo ; Yang Nan
Author_Institution
Sch. of Manage., Inner Mongolia Univ. of Technol., Hohhot, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
621
Lastpage
627
Abstract
The competitiveness of an enterprise has a close relation to its logistics capability which makes the enterprise have the advantage in the market. In this study, the logistics capability of the Inner Mongolia postal agricultural logistics was evaluated and optimized as a case. The evaluation index system of the logistics capability was established by a combination of the key performance indicator (KPI) method and the performance prism method. The logistics capability was evaluated by the triangle fuzzy comprehensive evaluation method. According to the results of the evaluation, the casual loop diagram of the Inner Mongolia postal agricultural logistics was established using the Vensim tool of the system dynamics. The relation between the indexes was clarified and the bottle-neck that influenced the logistics capability was illustrated by the cause/result tree. The indexes of the logistics capability were improved and the logistics capability was enhanced by the simulation and optimization using the Witness software. The results show that the index system, evaluation model and method are reliable and valid.
Keywords
agriculture; competitive intelligence; fuzzy set theory; logistics; optimisation; performance index; Inner Mongolia postal agricultural logistics system; KPI method; Vensim tool; casual loop diagram; enterprise competitiveness; evaluation index system; key performance indicator method; logistics capability; performance prism method; system dynamics; triangle fuzzy comprehensive evaluation method; witness software; Customer satisfaction; Indexes; Logistics; Optimization; Resource management; Software; logistics capability; simulation and optimization; system dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930287
Filename
6930287
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