Title :
Multicriteria Decision Support for Industrial Plant Re-Engineering
Author :
Smith, Stef ; Orsoni, Alessandra
Author_Institution :
Kingston Univ., Kingston upon Thames
Abstract :
This paper presents a multi-criteria decision model to evaluate the suitability and the feasibility of alternative options in industrial re-engineering projects. In the model each option is characterized using a combination of linguistic and numerical attributes, which jointly determine the financial feasibility and the risk of that option. The difference between linguistic and numerical attributes, which are naturally incommensurable types, is resolved by means of fuzzy representation. This way a single, combined rating can be produced for each option and objective. The structure and use of the model are illustrated focusing on the selection among alternative energy sources for industrial users, in support of their current effort to reduce the overall UK gas demand.
Keywords :
business process re-engineering; decision making; decision theory; financial management; fuzzy set theory; industrial plants; operations research; risk analysis; UK gas demand reduction; financial feasibility; fuzzy representation; industrial plant re-engineering project; multicriteria decision support model; option risk; Design optimization; Energy resolution; Gas industry; Globalization; Industrial plants; Information management; Linear programming; Natural gas; Switches; Technological innovation;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295503