Forthcoming articles

 


International Journal of Multicriteria Decision Making

 

These articles have been peer-reviewed and accepted for publication in IJMCDM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Multicriteria Decision Making (2 papers in press)

 

Regular Issues

 

  • Influence of Group Members in Multi-Attribute Utilities   Order a copy of this article
    by Matt Gilbert, Simon French, Jim Smith 
    Abstract: This paper investigates measuring the influence of some group members on others in decision making. Being better able to identify potentially influential behaviour would be useful in supporting and subsequently auditing a decision. A new measure of the influence of individuals is given, which is analogous to the well-known Cook\'s distance used to identify influential data in regression. The theoretical properties of this measure are explored. A simple method to identify sub-groups within the group of decision makers is given. We investigate the efficiency of our new measures using large scale randomised studies. We use these measures to identify sub-groups of individuals with similar beliefs in a data set collected in a previous experiment.
    Keywords: Group Decisions; Multiple Attributes; Influence; Cultural Groups; Common Beliefs; Cook\'s distance; Group Utilities.

  • Failure Mode and Effects Analysis using a Fuzzy-TOPSIS Method: A Case Study of Subsea Control Module   Order a copy of this article
    by Athanasios Kolios, Anietie Umofia, Mahmood Shafiee 
    Abstract: Failure Mode and Effects Analysis (FMEA) is one of the most common reliability engineering techniques used for identifying, evaluating and mitigating the engineering risks. This technique has received much attention in recent years, particularly in the offshore oil and gas industry. Globally, the search for hydrocarbon is pushing the limits into deep and ultra-deep waters with subsea production system (SPS) as the preferred technology for the exploration and production of this all-important resource. A key part of the SPS is the subsea control module (SCM) whose function is essential for the survival and normal performance of the entire system. In this paper, the potential failure modes of a subsea control module are identified based on industry experts opinions and experiences. This is followed by a comprehensive component based FMEA study using the Risk-Priority-Number (RPN) where the most critical failure modes in the SCM are revealed. A fuzzy TOPSIS-based multiple criteria decision making methodology is then proposed to analyze and prioritize the most critical failure modes identified by the FMEA study. To this aim, a distinct ten-parameter criticality model is developed and, for the first time, is applied to evaluate the risks associated with SCM failures. In this method, the expert opinions are used to allocate appropriate weight coefficients for each of the ten risk factors followed by a statistical analysis that will highlight their correlation and relative importance. The results indicate that the proposed fuzzy TOPSIS model can significantly improve the performance and applicability of the conventional FMEA technique in offshore oil and gas industry.
    Keywords: Failure Mode and Effects Analysis (FMEA); Multiple-Criteria Decision Making (MCDM); The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS); Subsea Control Module (SCM); Risk assessment.