An Analytic Network Process Model for Financial-Crisis Forecasting

2013 ◽  
pp. 75-92
Author(s):  
Thomas L. Saaty ◽  
Luis G. Vargas
Keyword(s):  
Financial Crisis ◽  
Process Model ◽  
Analytic Network Process ◽  
Network Process

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 A NEW HYBRID FUZZY CYBERNETIC ANALYTIC NETWORK PROCESS MODEL TO IDENTIFY SHARED RISKS IN PPP PROJECTS

2016 ◽  
Vol 20 (4) ◽  
pp. 409-426 ◽  
Author(s):  
Alireza VALIPOUR ◽  
Nordin YAHAYA ◽  
Norhazilan MD NOOR ◽  
Abbas MARDANI ◽  
Jurgita ANTUCHEVIČIENĖ
Keyword(s):  
Risk Management ◽  
Process Model ◽  
Expert Knowledge ◽  
Analytic Network Process ◽  
Risk Allocation ◽  
Public And Private ◽  
Complex Process ◽  
Allocation Criteria ◽  
Network Process ◽  
Public And Private Sector

A proper risk management strategy is essential in property management. For controlling and reducing risks on Public-Private Partnership (PPP) project, risk allocation is a major component of PPP risk management. Identifying appropriate shared risks and optimal risk allocation in a structured way is a complex process. The aim of this study is to develop a quantitative approach for equitable risk allocation with attention to identifying dependencies between risk allocation criteria and barriers. The paper presents an approach in the form of a hybrid Fuzzy method and Cybernetic Analytic Network Process (CANP) model for identifying shared risks. The approach involves the use of Fuzzy sets to convert linguistic principles and experiential expert knowledge into systematic quantitative analysis and the CANP to solve the problem of dependency and feedback between criteria and barriers as well as selection of shared risks. A case study is presented to demonstrate the use of the model in selecting shared risks. The study involves development of 10 criteria and 8 barriers. Finally, of 40 significant risks, 14 risks are successfully allocated between the public and private sector in Iranian PPP projects.

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

scholarly journals Maintenance strategy selection for multi-component systems using a combined analytic network process and cost-risk criticality model

2019 ◽  
Vol 233 (2) ◽  
pp. 89-104 ◽  
Author(s):  
Mahmood Shafiee ◽  
Ashraf Labib ◽  
Jhareswar Maiti ◽  
Andrew Starr
Keyword(s):  
Process Model ◽  
Failure Modes ◽  
Analytic Network Process ◽  
Design Stage ◽  
Maintenance Strategy ◽  
Analysis Model ◽  
Component Systems ◽  
Network Process ◽  
Criticality Analysis ◽  
Cost Risk

Selection of an appropriate maintenance strategy for multi-component systems is a very complex task due to diversity of components and their different failure modes, existence of various dependencies among components and a large number of competing criteria that need to be taken into consideration. This study presents a combined analytic network process and cost-risk criticality analysis model to select a cost-effective, low-risk maintenance strategy for different sets of components of a complex system. The proposed model consists of four maintenance alternatives (i.e. failure-based, time-based, risk-based and condition-based), among which the most appropriate strategy, on the basis of two criteria of maintenance implementation costs and failure criticality, is to be chosen. The former criterion includes the annual maintenance expenditure required for hardware, software and personnel training, while the latter criterion focuses on the capability of maintenance in reducing the failure vulnerability and enhancing the reliability and resilience. The possible dependencies among selection criteria as well as the failure interactions between components are taken into account to evaluate the maintenance alternatives. Finally, the model is applied to determine a suitable maintenance strategy for a new wind turbine configuration consisting of several mechanical, electrical and auxiliary components at the design stage. The results are compared with practices of maintenance over the first year of system operation as well as with the results obtained from an analytic hierarchy process model.

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