International Journal of Multicriteria Decision Making (4 papers in press)
Influence of Group Members in Multi-Attribute Utilities
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
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.
Public Interest Evaluation in Negotiated Public-Private Partnership
by Fabrizio Battisti, Maria Rosaria Guarini
Abstract: In order to the acceptance of private-nature proposal in the land planning and programming tools, the recognition of a public interest in the proposed initiative has always been a necessary and unavoidable condition. Only after more than 20 years since the introduction of negotiated Public-Private Partnership (1992-2014) the Italian law clarified the meaning of public interest through the art. 17, subparagraph 1, letter g) of Law no. 164/2014, by matching it with an extraordinary contribute of urbanization; in the praxis, the extraordinary contribution is defined by taking into account only the purely financial criteria. Instead, European Directives and case law reaffirmed the multi-dimensional connotation of public interest. In this context, it seems appropriate to understand when a PPPN initiative presents or not the public interest, taking into account criteria not only of financial nature but also of other nature (procedural, socio-economic, environmental, technical); for this purpose, it is necessary to provide some evaluation techniques to assess the public interest in more detail. The aim of this work is the construction of an evaluation multi-criteria procedure enabling a Municipality to evaluate the public interest of a negotiated Public-Private Partnership initiative, by considering not only the financial component (extraordinary contribution in the current legislation) but also other and heterogeneous procedural, socio-economic, environmental, technical components (according to Communitarian vision, found in some case law determinations) using assessment criteria listed by European Commission. The procedure is applicable in the European context where PPP shall apply; to test the operational capacity of the evaluation procedure, it will be applied to a case study: the Integrated Action Programme in neighborhood "Santa Croce" in the town of Mentana (RM).
Keywords: Appraisal; Multi-Criteria Decision Analysis; Cost Volume Profit Analysis; Public-Private Partnership; Stakeholders Analysis; Public Interest.
Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach
by Evangelos Grigoroudis
Abstract: An important tool for the evaluation and documentation of a successful environmental management system is the Environmental Performance Evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that using indicators evaluates the environmental management system of an organization and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry.
Keywords: Fuzzy UTASTAR; Environmental Performance Evaluation; Environmental Performance Indicators; Environmental Management Systems.