Browsing by Author "Kirensky, Roman"

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    'A Holistic Cabin Conceptualisation Approach (HCCA) framework'
    (Cranfield University, 2023-11-01 09:50) Kirensky, Roman; Lawson, Craig; Orson, Ben
    The presented toolset defines the stakeholders involved in aircraft passenger cabin interior development projects, and their pursued design drivers. - Stakeholder Definition sheet presents all types of organisations involved in the design of aircraft cabin interiors, disregarding of the involvement extent. - Stakeholder Analysis sheet contains the pairwise comparison matrices for all stakeholders along the influence and interest axes, and the resulting plot. - Cabin Design Drivers sheet contains the definition of drivers pursued by the cabin interior projects. These are defined as a multi-level structure including: -- Top-level profitability-based design drivers, -- Their constituent factors representing the design considerations and themes, and -- Bottom-level design criteria representing the detailed product specifications, requirements, features, qualities, performance targets etc. - Design Factor Weights present a set of pairwise comparison matrices for deriving the relative importance weights at the factor and driver levels. - R Input sheet contains R code template to use with R Studio software to retrieve Eigenvector values. - Design Factors Map sheet contains factor applicability mapping to represent stakeholder concern and interaction points on a cabin interior project. - Cabin Product Breakdown sheet presents the composition of state-of-the-art cabin interiors by listing out the components it may have. The presented list is an all-encompassing version and does not represent the product line of any specific cabin manufacturer or equipment supplier. The presented sheets may be used as information source, or be amended to reflect the needs of their specific project. Amendments may be performed in the white cells of the pairwise comparison matrices on Stakeholder Analysis and Design Factor Weights; and applicability indicators in Design Factors Map and Cabin Product Breakdown sheets.
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    ProBCA Taxonomy of Discrete MCDA Methods for Ranking
    (Cranfield University, 2023-11-01 09:46) Kirensky, Roman; Lawson, Craig; Salonitis, Konstantinos
    This book is accompanied by the publication titled 'A SYNOPTIC TAXONOMY OF DISCRETE MULTI-CRITERIA DECISION ANALYSIS METHODS FOR RANKING', which introduces the presented taxonomy for MADM (Multi-Attribute Decision-Making) methods for ranking tasks. The taxonomy consists of: - the collection of 300 MADM methods covering the various parts of a typical MCDA (Multi-Criteria Decision Analysis) process; - the characterisation system for the recorded methods called ProBCA (Problem-Based Characterisation Approach). The title (ProBCA) reflects an application-oriented mindset that the presented taxonomy is based on. It focuses on the DP (Decision Problem) parameters and how the DM (Decision Maker) deals with it to describe the presented methods, rather than the intrinsic characteristics of the methods itself. The taxonomy is operated by picking from the list of available values for each of the 17 descriptor parameters characterising the possible DP context specifics and DM constraints. If a method (or several) matching the provided DP characterisation is available in the presented collection, it will remain visible after filtering for appropriate values while the remaining methods will become hidden. It is possible to use partial DP characterisation to identify a range of potentially suitable methods if the DM is flexible about theof defining define the DP and how to approach its solution. The number of methods matching each of the available characterising values is always shown next to these values in the top section of the taonomy, and is progressively updated as the DM proceeds with value selection. The taxonomy is dedicated to allow a broad spectrum of DMs to efficiently select the most appropriate MADM method for their ranking DP at hand.