Sökning: onr:"swepub:oai:DiVA.org:miun-1299" >
Investment Decision...
Investment Decision Analysis : a case study at SCA Transforest
-
Danielsson, Mats (författare)
-
- Ekenberg, Love (författare)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
-
- Johansson [Idefeldt], Jim (författare)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
-
visa fler...
-
- Larsson, Aron (författare)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013)
-
visa färre...
-
(creator_code:org_t)
- 2003
- 2003
- Engelska.
-
Ingår i: IKE'03: Proceedings of the international conference on infomration and knowledge engineering. - 1932415092 ; , s. 79-85
- Relaterad länk:
-
https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- In investment decision-making in organizations, large values can be at stake. The need for a structured process is evident, not least when several people or interests are involved in the process. We advocate that the use of modern computational decision analysis can improve such investment processes by improving visibility and only requiring reasonably precise input data. The applicability of a structured decision analysis to corporate decision-making is demonstrated in a case study at SCA Transforest, a subdivision to SCA. The decision problem consists of whether a new system for logistic control should be implemented or not. The background information was collected through interviews and the structuring and analysis of the problem was performed using the tool DecideIT, designed for handling situations where uncertainties in input data prevail. The result of the analysis points out a reasonable action, but also shows which aspects are crucial to consider for a reliable result.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Decision analysis
- Decision tools
- Vague information
- Decision support system
- Computer science
- Datavetenskap
Publikations- och innehållstyp
- vet (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas