A framework for evaluating campus facility management performance in light of project critical success factors using a multidimensional fuzzy logic approach

被引:0
|
作者
Gunduz, Murat [1 ]
Naji, Khalid [1 ,2 ]
Maki, Omar [1 ]
机构
[1] Qatar Univ, Doha, Qatar
[2] Qatar Univ, Dept Civil & Environm Engn, Doha, Qatar
关键词
Campus facility management framework; Fuzzy set theory; Fuzzy logic model; Relative importance index; Critical project success factors; Key performance indicators; Mamdani fuzzy inference; Performance assessment model; BUILDING MAINTENANCE; OUTSOURCING DECISION; FM SERVICES; DESIGN; PREDICTION;
D O I
10.1108/ECAM-04-2023-0369
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
PurposeThis paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success.Design/methodology/approachAfter a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-a-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance.FindingsThe utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas.Originality/valueThis study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.
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