Alternative to AHP Approach to Criteria Weight Estimation in Highway Bridge Management

2020 ◽  
Author(s):  
Anthony Ikpong ◽  
Amit Chandra ◽  
Ashutosh Bagchi
Keyword(s):  
Asset Management ◽  
The United States ◽  
New Method ◽  
Bridge Management ◽  
Analytic Hierarchy ◽  
Extreme Loads ◽  
Criteria Weights ◽  
Bridge Performance ◽  
Management Optimization ◽  
Hierarchy Process

Criteria weights formulation is the most essential component of a multi-criteria prioritization scheme. The research reported in this paper sought to critically compare a recently developed multi-criteria optimization criteria weights method to the well-known Analytic Hierarchy Process (AHP) as well as the method employed by the bridge management software BrM (formerly Pontis), which is licensed to all 50 State Departments of Transportation in the United States. Using four criteria for demonstration (bridge performance, utility, vulnerability to climate-triggered extreme events, and vulnerability to climate-triggered extreme loads), the new method clearly separates the concept of prioritization from the concept of optimization. The study demonstrates that there is an important and practical difference between a suitable criteria weight formulation for asset management optimization, on one hand, and the type of formulation required for a general selection problem, on the other hand. More importantly, the new method performs better than both the AHP and the BrM on all the important measures.

Performance of physical asset management using the analytic hierarchy process

2019 ◽  
Vol 37 (3) ◽  
pp. 327-345 ◽  
Author(s):  
Fawzeia Abdulla Al Marzooqi ◽  
Matloub Hussain ◽  
Syed Zamberi Ahmad
Keyword(s):  
Analytic Hierarchy Process ◽  
Asset Management ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Equal Importance ◽  
The Analytic Hierarchy Process ◽  
Physical Asset ◽  
The Impact ◽  
Hierarchy Process ◽  
Asset Managers

Purpose The purpose of this paper is to explore certain resources, capabilities and competencies needed to improve the performance of physical asset management (PAM). Design/methodology/approach The analytic hierarchy process (AHP) is used to select and prioritize the most appropriate factors for improving performance. A multi-criteria approach is used to analyze and compare the importance of 6 main criteria and 18 subcriteria identified from a survey of relevant literature. Findings The study revealed that not all factors are viewed as having equal importance in improving PAM performance, as three of the main factors attained greater importance among the six factors. Research limitations/implications This study explored the factors required for managing assets only within the third stage of asset lifecycle, that is, the utilization stage. It is recommended that future studies be conducted in such a way as to determine the importance of similar factors in the other stages of the asset lifecycle, or to identify new factors and add new criteria. Practical implications Knowledge of the differential impacts of the factors on the performance of PAM can impact asset managers and decision makers in their allocation of resources and focus their work on the highest-ranked rather than the lowest-ranked factors. Also, AHP used provides an effective mean for asset managers to identify priorities among decision criteria in their organization. Originality/value To date, no study has explored the impact of six combined factors on the performance of PAM. Previous studies have found that these factors each had equal importance. However, their relative ranking in practice and when they appear together have remained unrecognized.

scholarly journals A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN

2014 ◽  
pp. 11-27 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Urban Development ◽  
Iraq War ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
The Past ◽  
Criteria Weights ◽  
Bandar Abbas ◽  
Hierarchy Process ◽  
The City

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.

A Novel Approach to Evaluate the Stability of Production Manufacturing System Based on Petri-Net and Analytic Hierarchy Process

2012 ◽  
Vol 605-607 ◽  
pp. 336-340
Author(s):  
Hou Xing You
Keyword(s):  
Analytic Hierarchy Process ◽  
Petri Net ◽  
Manufacturing System ◽  
New Method ◽  
System Stability ◽  
Production Factor ◽  
Analytic Hierarchy ◽  
The Stability ◽  
Whole Life Cycle ◽  
Hierarchy Process

In the whole life cycle of production process, the stability of production manufacturing system is an important production factor. However, there were a few researches about the system stability in the past years. In this paper, for the stability of production manufacturing system, a new method is proposed based on Petri-net and analytic hierarchy process. In the proposed method, the reachability of manufacturing system is judged by using Petri-net, and the system stability is calculated by the successful probability of the key production nodes. Finally, evaluation steps of the new method are given, and the new evaluation method is applied in case study.

A novel MCDM model for prioritizing the renewable power plants’ construction

2019 ◽  
Vol 30 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Fatima Sedady ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Power Plants ◽  
Environmental Aspects ◽  
Tidal Power ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Renewable Power ◽  
Comparison Results ◽  
Criteria Weights ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose The purpose of this paper is to propose a new multi-criteria decision making (MCDM) technique to determine the priority of renewable power plants construction conceding technical, economic, social, political and environmental aspects. Design/methodology/approach First, a comprehensive set of 5 main criteria of technical, economic, social, political and environmental are considered for renewable power plants construction, each including 5 sub-criteria (a total of 25 sub-criteria). Then, the analytic hierarchy process method is used to determine the weight of the criteria. Finally, a new MCDM technique proposed to prioritize the construction of renewable power plants, named TOPKOR. To demonstrate the capability of the proposed method, a case study is conducted in which six types of renewable power plants are evaluated. Findings Comparison results of the main criteria weights show that the “economic” [0.403], “environmental” [0.296] and “technical” [0.17] aspects have the highest importance, respectively. The results also show that solar, hydroelectric and wave and tidal power plants have the highest priority for construction, respectively. Research limitations/implications The result of this research could be useful for related decision makers in construction of the renewable power plants to have a comprehensive set of criteria in technical, economic, social, political and environmental aspects in their decision process. Originality/value This research provides a comprehensive set of criteria and sub-criteria for prioritizing the renewable power plants. Moreover, a new hybrid MCDM technique is introduced for prioritizing the construction of power plants.

UX (User Experience)-Driven Website Design Utilizing Analytic Hierarchy Process (AHP) Multi-Attribute Decision Modeling

2018 ◽  
pp. 121-135
Author(s):  
Ron Cheek ◽  
Martha Sale ◽  
Colleen Carraher Wolverton
Keyword(s):  
United States ◽  
Best Practices ◽  
Analytic Hierarchy Process ◽  
The United States ◽  
Website Design ◽  
Analytic Hierarchy ◽  
Robust Model ◽  
Social Media Tools ◽  
Come Into The Market ◽  
Hierarchy Process

The success of an organization's website is determined by the user's experience (UX). Yet many organizations continue to struggle to find tools to strategically analyze the UX's satisfaction with their websites and overall online presence. While there have been numerous studies offering “best practices” for website design, most of these are dated and do not take into consideration UX's experience and social media tools that come into the market. In this chapter, over 900 surveys were conducted on Inc. Magazine's Top 500 list (2011-13) of fastest growing companies in the United States. The analysis of these surveys resulted in a list of shared elements (best practices) common to the websites surveyed. Through the use of the analytic hierarchy process (AHP) multi-attribute decision model, the authors developed a measure by which companies can assess their customer's experience and compare it to these best practices model. This model provides an internally consistent, robust model against which to measure an organization's website based on the user's experience (UX).

Effects of Recession on Asset Management Performance in Small Businesses in Spain

2022 ◽  
pp. 325-353
Author(s):  
María Carmen Carnero ◽  
Javier Cárcel-Carrasco
Keyword(s):  
Asset Management ◽  
Small Businesses ◽  
Probability Distributions ◽  
Complex Function ◽  
Analytic Hierarchy ◽  
Before And After ◽  
Negative Effect ◽  
Multicriteria Model ◽  
Discrete Probability Distributions ◽  
Hierarchy Process

The number of studies that assess the level of maintenance in a country is still very small, despite the contribution of this area to national competitiveness. The literature analyses asset management based on key performance indicators, but not via a multicriteria model. This chapter describes a multicriteria model, constructed by means of the fuzzy analytic hierarchy process (FAHP). The weightings are converted into utility functions, allowing the final utility of an alternative to be calculated via a multi-attribute utility function. Data on the state of asset management in Spain, in 2005 and 2010, are used to produce discrete probability distributions. Finally, a Monte Carlo simulation is applied to estimate the uncertainty of a complex function. In this way, the level of excellence of asset management in small businesses in Spain, before and after the recession, could be determined. The results show that the economic crisis experienced in Spain since 2008 has had a negative effect on the level of asset management in most sectors.

scholarly journals Multi-Criteria Examination of Power-to-Gas Pathways under Stochastic Preferences

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3151 ◽  
Author(s):  
Sean Walker ◽  
Suadd Al-Zakwani ◽  
Azadeh Maroufmashat ◽  
Michael Fowler ◽  
Ali Elkamel
Keyword(s):  
Peak Power ◽  
Multiple Criteria ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Renewable Power ◽  
Criteria Weights ◽  
Power To Gas ◽  
Renewable Energy Generation ◽  
Hierarchy Process

Power-to-gas is an energy storage and vector technology which can utilize off-peak power, assist in the integration of renewable power and provide needed fuel for industry and transportation. Further, power-to-gas is a useful technology for balancing surplus baseload and renewable energy generation with demand. There are numerous applications of power-to-gas in Europe, where renewable power is used to generate hydrogen for numerous applications. Examining each of these power-to-gas pathways across quantitative and qualitative criteria, this paper utilizes the stochastic fuzzy analytic hierarchy process to determine criteria weights. These weights are then fed to a multiple criteria decision analysis tool to determine the viability of each pathway for investors and policy makers. A sensitivity analysis is carried out by reprioritizing the criteria and re-evaluating the multiple criteria analysis. The two pathways that score highest under multiple criteria rankings are power-to-gas to mobility-fuel and power-to-gas-to-power, due to their established technologies, lower costs and environmental performance. By extension, both of these power-to-gas pathways are the most appropriate ways for this technology to be implemented, due to their combination of public familiarity, emissions reductions, and developed, available technologies.

Stochastic KEMIRA-M Approach with Consistent Weightings

2019 ◽  
Vol 18 (03) ◽  
pp. 793-831 ◽  
Author(s):  
Pelin Toktaş ◽  
Gülin Feryal Can
Keyword(s):  
Stochastic Process ◽  
Universal Design ◽  
Evaluation Process ◽  
Decision Makers ◽  
Shopping Malls ◽  
Analytic Hierarchy ◽  
Discrete Uniform Distribution ◽  
Criteria Weights ◽  
Discrete Uniform ◽  
Hierarchy Process

This study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the proposed approach, tasks related to the decision issue are performed by decision makers to ensure the understanding sufficiency of alternatives in terms of criteria more clearly. The weighting procedure of Analytic Hierarchy Process (AHP) is implemented in a stochastic manner benefited from discrete uniform distribution to provide obtaining consistent criteria weights considering median priority components. Therefore, different trials including different number of replications that shows the number of decision makers are performed and the most consistent weightings are determined for each trial in the stochastic process. In this way, the dependency to the limited numbers of decision makers and to determine criteria weights in a heuristic manner in KEMIRA-M is prevented. Additionally, the effect of the number of decision makers on criteria weightings and alternatives’ ranking process is shown. To obtain the most consistent weighting results, this stochastic process is utilized until acquiring approximate consistency ratios. The proposed stochastic KEMIRA-M approach is utilized to rank nine shopping malls (SMs) in Ankara in terms of technical criteria (TC) and universal design criteria (UDC). It was seen from the ranking results that the first SM (SM1) is the best one.

scholarly journals Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Haresh Kumar Sharma ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Olegas Prentkovskis
Keyword(s):  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Railway Stations ◽  
Validity Testing ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

scholarly journals Evaluation of Influenza Intervention Strategies in Turkey with Fuzzy AHP-VIKOR

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Funda Samanlioglu
Keyword(s):  
Fuzzy Ahp ◽  
Intervention Strategy ◽  
Multiple Criteria Decision Making ◽  
Intervention Strategies ◽  
Analytic Hierarchy ◽  
Medicine Physician ◽  
Criteria Weights ◽  
Hierarchy Process ◽  
Internal Medicine Physician

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.

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