An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

Performance indicators for facilities operation and maintenance (Part 2)

Facilities ◽  
2018 ◽  
Vol 36 (9/10) ◽  
pp. 495-509 ◽  
Author(s):  
Joseph H.K. Lai ◽  
Chun Sing Man
Keyword(s):  
Performance Evaluation ◽  
Focus Group ◽  
Performance Indicators ◽  
Commercial Buildings ◽  
The Other ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Services Delivery ◽  
Operation And Maintenance

PurposeThis paper (Part 2 of 2) aims to shortlist performance indicators which are used in evaluating facilities operation and maintenance (O&M) in commercial buildings.Design/methodology/approachA three-session focus group meeting, with the use of a customized questionnaire and audio recording, was convened to solicit opinions from O&M experts. Their quantitative responses (ratings on the importance of the indicators) and the qualitative ones (reasons for having the indicators selected or excluded) were taken for analysis, followed by mapping the shortlisted indicators based on the phase-hierarchy (P-H) model for facilities management (FM).FindingsFrom a total of 74 performance indicators (71 identified from the literature and three added by the focus group), 17 indicators were shortlisted, and time constraint was the most common reason for having those indicators excluded from the shortlist. Mapping the shortlisted indicators with the P-H model revealed that the performance evaluation focus of the experts was at the tactical level, on the output phase of facilities services delivery.Research implicationsThe shortlisted indicators serve as a keystone for establishing a performance evaluation scheme for engineering facilities in commercial buildings. Research on other areas may follow the approach of this study to shortlist key performance indicators (KPIs).Practical implicationsProfessionals of the other building types (e.g. residential, industrial and healthcare) or sectors with diverse FM organizations may conduct a similar study to identify indicators for performance evaluation purposes. In particular, the process of shortlisting the O&M KPIs may be used to shortlist KPIs for the other FM services.Originality/valueThe focus group study demonstrates how to rigorously select KPIs for use in managing facilities.

Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method

2020 ◽  
Vol 27 (8) ◽  
pp. 1763-1794
Author(s):  
Zhao Xu ◽  
Xiang Wang ◽  
Ya Xiao ◽  
Jingfeng Yuan
Keyword(s):  
Performance Evaluation ◽  
Evaluation Model ◽  
Indicator System ◽  
Project Performance ◽  
Information Modeling ◽  
Content Type ◽  
Evaluation Indicator ◽  
Performance Evaluation Model ◽  
Element Method

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.

scholarly journals The Selection of Dry Port Location by Analytic Network Process Model: A Case Study of Dosso-Niger

2019 ◽  
Vol 09 (02) ◽  
pp. 146-155 ◽  
Author(s):  
Hamadou Tahirou Abdoulkarim ◽  
Seydou Harouna Fatouma ◽  
Bomboma Kalgora
Keyword(s):  
Process Model ◽  
Analytic Network Process ◽  
Network Process ◽  
Port Location ◽  
Selection Of

Identification, classification and shortlisting of performance indicators for hospital facilities management

Facilities ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Lai ◽  
P.L. Yuen
Keyword(s):  
Focus Group ◽  
Performance Indicators ◽  
Design Methodology ◽  
Facilities Management ◽  
Review Of Literature ◽  
Input Process ◽  
Focus Group Study ◽  
Content Type ◽  
Services Delivery ◽  
Practical Implications

Purpose This paper aims to report on a study that aims to establish a list of systematically classified key performance indicators (KPIs) that are useful for hospital facilities management (FM). Design/methodology/approach A review of literature was conducted to identify indicators that are applicable to hospital FM. Each indicator was classified using a phase–hierarchy (P-H) model, which is a two-dimensional matrix comprising three phases (input, process and output) of facilities services delivery and three hierarchical FM levels (operational, tactical and strategic). The classified indicators were further shortlisted via a focus group study. Findings From the literature review, 61 indicators were identified as applicable to hospital FM. Most of the indicators, according to the P-H model, are for evaluating the FM input or output phase, at the strategic or tactical level. Further refinement and shortlisting of the indicators by the focus group experts resulted in 18 KPIs, which fall into 4 aspects: “physical”, “safety”, “environmental” and “financial”. Research limitations/implications The study illustrates that the P-H model is useful for classifying the performance indicators systematically along the two fundamental FM dimensions – phase and hierarchy. Further research may use this model to classify performance indicators in other contexts. Practical implications The method of this study can be adapted for use in identifying, classifying and shortlisting FM performance indicators for other types of buildings. The shortlisted KPIs can be used for assessing the FM performance of hospitals. Originality/value To the best of the authors’ knowledge, this study is the first of its kind that used the P-H model to classify hospital FM performance indicators.

scholarly journals Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

2021 ◽  
Vol 13 (24) ◽  
pp. 13777
Author(s):  
Diogo Rodrigues ◽  
Radu Godina ◽  
Pedro Espadinha da Cruz
Keyword(s):  
Performance Indicators ◽  
Process Model ◽  
Manufacturing Industry ◽  
Selection Process ◽  
Technological Development ◽  
Multiple Criteria Decision Making ◽  
Key Performance Indicators ◽  
Analytic Network Process ◽  
Molding Process ◽  
Network Process

In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.

scholarly journals Performance evaluation for hospital facility management: literature review and a research methodology

2019 ◽  
Vol 3 (1) ◽  
pp. 38-43 ◽  
Author(s):  
Joseph Lai ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Research Methodology ◽  
Research Work ◽  
Analytic Network Process ◽  
Facility Management ◽  
Facilities Management ◽  
Hospital Facility ◽  
Evaluation Scheme ◽  
Wide Range ◽  
Network Process

ABSTRACT Underpinning the quality of health services is a wide range of facilities services that require effective management. With the importance of such facilities management (FM) increasingly recognized, research on healthcare FM has grown, with many that attempted to develop some performance frameworks or key performance indicators (KPIs) for hospital FM. A credible scheme that is tailored for evaluating the holistic FM performance of hospital buildings, however, is yet to be seen. In order to establish such a performance evaluation scheme, a research project was initiated. A review of the literature germane to hospital FM and the groundwork completed by the research team, based on which the project was formulated, is reported in this paper. The research methodology of the project and the five stages of rigorous research work, including a multi-pronged approach to data collection, the method for processing the data with an analytic network process (ANP) and the steps for establishing the intended evaluation scheme, are also described.

scholarly journals A HYBRID QUALITY FUNCTION DEPLOYMENT AND CYBERNETIC ANALYTIC NETWORK PROCESS MODEL FOR PROJECT MANAGER SELECTION

2014 ◽  
Vol 20 (6) ◽  
pp. 795-809 ◽  
Author(s):  
Farahbod Mohammadi ◽  
Mohammadali Kazerooni Sadi ◽  
Fatemeh Nateghi ◽  
Arham Abdullah ◽  
Martin Skitmore
Keyword(s):  
Quality Function Deployment ◽  
Selection Criteria ◽  
Process Model ◽  
Analytic Network Process ◽  
Project Manager ◽  
Quality Function ◽  
Manager Selection ◽  
Complex Process ◽  
Network Process

Identifying appropriate decision criteria and making optimal decisions in a structured way is a complex process. This paper presents an approach for doing this in the form of a hybrid Quality Function Deployment (QFD) and Cybernetic Analytic Network Process (CANP) model for project manager selection. This involves the use of QFD to translate the owner's project management expectations into selection criteria and the CANP to weight the expectations and selection criteria. The supermatrix approach then prioritises the candidates with respect to the overall decision-making goal. A case study is used to demonstrate the use of the model in selecting a renovation project manager. This involves the development of 18 selection criteria in response to the owner's three main expectations of time, cost and quality.

Prioritizing complexity using fuzzy DANP: case study of international development projects

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soo Yong Kim ◽  
Minh V. Nguyen ◽  
Tuyen T.N. Dao
Keyword(s):  
International Development ◽  
Group Discussion ◽  
Analytic Network Process ◽  
The Body ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
Project Complexity ◽  
Network Process ◽  
Prioritization Framework

PurposeThis paper aims to propose a comprehensive framework for prioritizing complexity criteria. The framework was validated by applying in infrastructure international development (ID) project as a case study.Design/methodology/approachA literature review highlighted the limitations of existing complexity prioritization methods. Then, a combination of the fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (ANP) was employed as a foundation to develop a three-stage complexity prioritization framework. Focus group discussion and questionnaire surveys were used to practically test the framework in the infrastructure ID projects.FindingsThe three-stage complexity prioritization framework was validated to be reliable and feasible. The findings showed ability of consultants, scope uncertainties, site compensation and clearance, communication between stakeholders, administrative procedure and project duration were the most significant complexity criteria of ID projects in the Vietnamese context.Practical implicationsThe framework is a robust tool that enables the researchers to grasp the interaction of complexity criteria for complexity prioritization. Later studies can apply the proposed framework, with some minor revisions, to assess the interaction of criteria in other research topics in, and beyond, project complexity. Results of the case study suggest project stakeholders focusing on complex interactions among criteria to reduce project complexity.Originality/valueThis study contributes to the body of knowledge by providing a comprehensive complexity prioritization framework that grasps the interrelationship of complexity criteria. For stakeholders of ID projects, the findings provide insightful perspectives to understand complexity, which can help to enhance project performance.

Supplier evaluation with order allocation in mega-projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davoud Yadegari ◽  
Soroush Avakh Darestani
Keyword(s):  
Decision Making ◽  
Reliability And Validity ◽  
Analytic Network Process ◽  
Supplier Evaluation ◽  
Content Type ◽  
Analysis Techniques ◽  
Measurement Tools ◽  
Network Process ◽  
Future Work

Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects.

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