Structuring problems for Multi-Criteria Decision Analysis in practice : a literature review of method combinations
Marttunen, Mika and Lienert, Judit and Belton, Valerie (2017) Structuring problems for Multi-Criteria Decision Analysis in practice : a literature review of method combinations. European Journal of Operational Research, 263 (1). pp. 1-17. ISSN 0377-2217 (https://doi.org/10.1016/j.ejor.2017.04.041)
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Abstract
Structuring problems for Multi-Criteria Decision Analysis (MCDA) has attracted increasing attention over the past 20 years from both a conceptual and a practical perspective. This is reflected in a significant growth in the number of published applications which use a formal approach to problem structuring in combination with an analytic method for multi-criteria analysis. The problem structuring approaches (PSMs) include general methodologies such as Checkland's Soft Systems Method (SSM), Eden and Ackermann's Strategic Options Design and Analysis (SODA) and other methods that focus on a particular aspect. We carried out a literature review that covers eight PSMs (Cognitive and Causal Maps, DPSIR, Scenario Planning, SSM, Stakeholder Analysis, Strategic Choice Approach, SODA and SWOT) and seven MCDA methods (AHP, ANP, ELECTRE, MAUT, MAVT, PROMETHEE and TOPSIS). We first identified and analysed 333 articles published during 2000-2015, then selected 68 articles covering all PSM-MCDA combinations, which were studied in detail to understand the associated processes, benefits and challenges. The three PSMs most commonly combined with MCDA are SWOT, Scenario Planning and DPSIR. AHP was by far the most commonly applied MCDA method. Combining PSMs with MCDA produces a richer view of the decision situation and enables more effective support for different phases of the decision-making process. Some limitations and challenges in combining PSMs and MCDA are also identified, most importantly relating to building a value tree and assigning criteria weights.
ORCID iDs
Marttunen, Mika, Lienert, Judit and Belton, Valerie ORCID: https://orcid.org/0000-0003-2555-1469;-
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Item type: Article ID code: 61050 Dates: DateEvent16 November 2017Published28 April 2017Published Online21 April 2017AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 23 Jun 2017 08:45 Last modified: 11 Nov 2024 11:42 URI: https://strathprints.strath.ac.uk/id/eprint/61050