DocumentCode :
2545101
Title :
Select operational decision solutions in manufacturing enterprises based on the fuzzy analytic network process
Author :
Ying, Yang
Author_Institution :
Glorious Sun Sch. of Bus. & Manage., Donghua Univ., Shanghai, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
523
Lastpage :
528
Abstract :
The strategic operational decision solutions will affect the enterprise´s development on the long run. This research analyzes the evaluation of manufacturing enterprises´ decision solutions from strategic aspect. The strategic decision solution´s making is mainly based on the goal of competency enhancement. Different competitive strategy combination will bring different profit for the enterprise, and there are dependences among different strategies. This research has designed a model based on ANP to solve the operational decisions evaluation problem in manufacturing enterprises. Because of the values of indicators and attributes are vague and uncertain, this research combined ANP with fuzzy theory. A case study shows that this model can provide decision support for the decision makers under different competitive environments.
Keywords :
competitive intelligence; decision making; fuzzy set theory; manufacturing industries; profitability; strategic planning; competency enhancement; competitive environment; competitive strategy combination; decision support; enterprise development; fuzzy analytic network process; fuzzy theory; manufacturing enterprise; profit; strategic operational decision solution; Business; Decision making; Educational institutions; Environmental economics; Fuzzy set theory; Fuzzy sets; Manufacturing processes; Sun; Textiles; Virtual manufacturing; decision solutions evaluation; fuzzy ANP; manufacturing enterprises; strategic management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477673
Filename :
5477673
Link To Document :
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