DocumentCode
3281584
Title
Towards a strategic decision making aid for the management of business processes
Author
Zahaf, Sahbi ; Gargouri, Faîez
Author_Institution
MIRACL Lab., Sfax Sakiet Ezzit Technopole, Sfax, Tunisia
fYear
2010
fDate
3-5 Oct. 2010
Firstpage
330
Lastpage
333
Abstract
This article aims to develop several aspects of the current problems associated with the design of decision support systems of the type ODSS (Organisational Decision Support System). However, the design of a decision-making tool must go through a crucial phase and upstream which is the formalization of the process of decision making. Among the available models for the implementation of a decision process, we include the IDC Standard (Intelligence Design Choice), which is, in our opinion, the best suited to the case. However, the latter has limitations in its decision-making strategy. The aim of this paper is to propose an approach to decision making based on this standard, by extending it through the addition of two additional phases. This essay presents the advantage of providing a more coherent and retrospective vision in the specification of decision making. We illustrate this contribution by the formalization of a situation of decision, namely: Response to Tender (RAO). The latter will be treated to resolve the issue of choice of industrial processes. We will try in the future to apply it to the processes of wastewater treatment.
Keywords
business data processing; decision making; decision support systems; organisational aspects; tendering; IDC Standard; ODSS; business processes management; industrial process; intelligence design choice; organisational decision support system; response to tender; retrospective vision; strategic decision making; wastewater treatment; Biological system modeling; Decision making; Decision support systems; Knowledge based systems; Ontologies; Proposals;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine and Web Intelligence (ICMWI), 2010 International Conference on
Conference_Location
Algiers
Print_ISBN
978-1-4244-8608-3
Type
conf
DOI
10.1109/ICMWI.2010.5648068
Filename
5648068
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