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.

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.

scholarly journals An ANP-based network to measure the impact of Lean production on organisational performance

2018 ◽  
Vol 11 (2) ◽  
pp. 222 ◽  
Author(s):  
José Luis Ruano Pérez ◽  
Raúl Rodríguez-Rodríguez ◽  
Juan-José Alfaro Saiz ◽  
María-José Verdecho
Keyword(s):  
Scientific Literature ◽  
Research Work ◽  
Analytic Network Process ◽  
Performance Measurement System ◽  
Future Research ◽  
Organisational Performance ◽  
Novel Approach ◽  
Network Process ◽  
The Impact ◽  
Do So

Purpose: The main objective of this research is to design a decision-making network, based on the Analytic Network Process (ANP) technique (Saaty, 1996), which will include the main elements to take into account when stating the effect that the application of LP techniques has got on the performance of an organisation, measured this through a Performance Measurement System (PMS).Design/methodology/approach: The authors have carried out a scientific literature search to state what the main LP techniques are –and how to group them into different clusters- and have then applied the ANP, its first phase, in order to design the decisional network.Findings: There is a gap in the literature when trying to identify and quantify to what extent the implementation of LP techniques affects to organisational performance. The ANP is an appropriate technique to do so due to the need of gathering and quantifying experts’ opinions.Originality/value: The designed ANP-based network to measure the impact of LP over organisational performance is a novel approach. This paper justifies its usage and paves the way to implement the rest of the ANP phases in future research work. 

scholarly journals ANALYTIC NETWORK PROCESS AND BALANCED SCORECARD APPLIED TO THE PERFORMANCE EVALUATION OF PUBLIC HEALTH SYSTEMS

2015 ◽  
Vol 35 (2) ◽  
pp. 353-361 ◽  
Author(s):  
Marco Aurélio Reis dos Santos ◽  
Valério Antonio Pamplona Salomon ◽  
Fernando Augusto Silva Marins
Keyword(s):  
Public Health ◽  
Performance Evaluation ◽  
Health Systems ◽  
Balanced Scorecard ◽  
Analytic Network Process ◽  
Public Health Systems ◽  
Network Process

scholarly journals Selection and Ranking of Fog Computing-Based IoT for Monitoring of Health Using the Analytic Network Approach

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dong Xue ◽  
Shah Nazir ◽  
Zhiqiang Peng ◽  
Hizbullah Khattak
Keyword(s):  
Health Monitoring ◽  
Fog Computing ◽  
Research Work ◽  
Analytic Network Process ◽  
Medical Services ◽  
Monitoring Systems ◽  
Network Approach ◽  
Network Process ◽  
Health Monitoring Systems ◽  
Selection And Ranking

Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network edge leading various possibilities and services. FC improves processing, decision, and intervention to take place through devices of IoT and communicate essential details. The idea of FC in healthcare based on frameworks of IoT is exploited by determining dispersed delegate layer of comprehension between the cloud and sensor hubs. The clouds suggested systems improved to overcome several challenges in ubiquitous frameworks of medical services such as energy efficiency, portability, adaptableness, and quality issues by accommodating right to take care of definite weights of the distant medical services group and sensor networks. The proposed research work has considered the analytic network process (ANP) for selection and ranking of FC-based IoT for health monitoring systems. The approach works in situation when complexity arises for health monitoring. Results of the study show the success of the research for facilitating healthcare.

scholarly journals Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Gülşen Akman ◽  
Hamit Pışkın
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Ideal Solution ◽  
Manufacturing Companies ◽  
Green Performance ◽  
Network Process ◽  
Green Suppliers

Developments in environmental issues in the last few years have been forcing manufacturing companies to improve their environmental performances. Many firms developed integrated relationships with their suppliers to increase their environmental performance and to decrease their hazardous effects on the environment. Then, selecting suitable and green suppliers in the supply chain has become a key strategic consideration. A performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the firm. Therefore, in this study, a model for evaluating green performance of suppliers is proposed, and a hybrid multicriteria decision making model is developed in order to evaluate green performance of the suppliers. The analytical network process technique is applied to handle the relationships and dependence of selection criteria and subcriteria and determine weights of the criteria. The technique for order preference by similarity to ideal solution is used to sequence the suppliers for ideal solution of the suppliers’ green performance evaluation problem. After a comprehensive literature survey, evaluation criteria of green performance for suppliers are determined. Finally, green performance of 18 suppliers of an automobile company was evaluated by this model. These 18 suppliers manufacture chassis and its components.

An ANP Approach to Talent Management Evaluation Indices System

2010 ◽  
Vol 439-440 ◽  
pp. 1259-1264
Author(s):  
Chun Ling Sun ◽  
Ran Bi
Keyword(s):  
Performance Evaluation ◽  
Feedback System ◽  
Talent Management ◽  
Analytic Network Process ◽  
Management Performance ◽  
Analytic Hierarchy ◽  
Management Evaluation ◽  
Indices System ◽  
Network Process ◽  
Evaluation Feedback

Talent management has been regarded as a key component to organizations’ success recently. With the scope of this paper, talent management performance evaluation indices system was constructed. Analytic network process (ANP) has been adopted to model a multi-criteria talent management performance evaluation feedback system. Theoretical foundations and application processes of ANP were discussed and dependence and feedback among indices were analyzed. The result of ANP model for the indices system was obtained with Super Decisions software solution. ANP can solve problems with dependent indices effectively rather than analytic hierarchy process (AHP).

Implementation model for cellular manufacturing system using AHP and ANP approach

2019 ◽  
Vol 26 (5) ◽  
pp. 1605-1630 ◽  
Author(s):  
Vikrant Sharma ◽  
B.D. Gidwani ◽  
Vikram Sharma ◽  
M.L. Meena
Keyword(s):  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Analytic Network Process ◽  
Cellular Manufacturing System ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Implementation Model ◽  
Factors Analysis ◽  
Wide Range ◽  
Network Process

Purpose The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods. Design/methodology/approach Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis. Findings These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability. Practical implications The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners. Originality/value The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

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