DocumentCode
3113713
Title
Re-Engineering Design of a Purchasing System by BPS and PCA
Author
Azadeh, M.A. ; Harandi, S. Jafari ; Izadbakhsh, H.
Author_Institution
Dept. of Ind. Eng. & Res. Inst. of Energy Manage. & Planning, Univ. of Tehran, Tehran
fYear
2006
fDate
16-18 Aug. 2006
Firstpage
863
Lastpage
869
Abstract
This paper introduces a framework for re- engineering design and assessment of a purchasing management system by business process simulation (BPS) and principal component analysis (PCA). The users of the purchasing management verified that the goals of a re-engineering model are to create a process-oriented approach in order to reduce purchasing process cycle time, faster customer response time and lower cost. The conceptual model of the business process was developed by integrated definition for function modeling (IDEFO). The process times were collected by standard time study and analyzed by statistical analysis and the computer simulation model of the process was developed by Visual SLAM. The current system was then compared with three business process re-engineering (BPR) models through PCA. The first BPR utilizes Davenport approach as process designing and using organizational, human resource and IT enablers. The second and third alternatives use electronic data interchange (EDI) technology and deletion of expense accounts in the current purchasing system. The approach of this study may be used for re-engineering design and assessment of other Purchasing management systems.
Keywords
business process re-engineering; corporate modelling; electronic data interchange; principal component analysis; purchasing; BPS; Davenport approach; PCA; Visual SLAM; business process reengineering; business process simulation; computer simulation model; electronic data interchange; integrated definition for function modeling; principal component analysis; purchasing process cycle; purchasing system; reengineering design; Analytical models; Business process re-engineering; Costs; Delay; Design engineering; Engineering management; Principal component analysis; Standards development; Statistical analysis; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Informatics, 2006 IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
0-7803-9700-2
Electronic_ISBN
0-7803-9701-0
Type
conf
DOI
10.1109/INDIN.2006.275690
Filename
4053502
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