An Empirical Examination of the Consistency Ratio in the Analytic Hierarchy Process (AHP)

Lukinskiy, Valery; Lukinskiy, Vladislav; Sokolov, Boris; Bazhina, Darya

doi:10.1007/978-3-030-85914-5_51

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…If this coefficient is less than or equal to 0.1, the agreement in the judgments is accepted; otherwise, the judgments must be reconsidered 55 …”

Section: Methodsmentioning

confidence: 99%

“…If this coefficient is less than or equal to 0.1, the agreement in the judgments is accepted; otherwise, the judgments must be reconsidered. 55 Using the judgments of a single manager to form the matrix of pairwise comparisons, which is the basis for decision-making when applying AHP to organizational issues, cannot result in a highly accurate decision matrix. Consequently, group cooperation and thought are logical and comprehensive methods for an organization's decision-making system.…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

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Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

Tabejamaat,

Ahmadi,

Barmayehvar

2024

Energy Science & Engineering

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This study investigates the relationship between Building Information Modeling (BIM) and knowledge management in large‐scale construction projects, emphasizing risk management, and increasing productivity. This study aims to identify the most important and impactful aspects of modern management techniques in the large‐scale construction sector to improve construction quality; focusing on cost reduction, energy conservation, and pollution reduction during construction. Employing a validated questionnaire from experts and the Analytical Hierarchy Process (AHP), the research prioritizes key factors, elucidating the pivotal role of BIM in understanding project geometry, efficient documentation, design flexibility, and reduced project delays. Ascertained through data analysis employing the pairwise comparisons method of the AHP analysis method, the compatibility of all comparisons and matrices arising from the decision‐making process of experts was below 0.1. The results establish BIM's technical capabilities, economic considerations, and pollution reduction as paramount, contributing significantly to improve large‐scale construction project risk management. The prioritization of the main criteria reveals their significance in the following order: BIM technical capabilities (0.281), BIM economic capabilities (0.231), pollution reduction (0.228), knowledge management capabilities (0.096), BIM time capabilities (0.090), and human resources management capabilities (0.074). BIM can improve risk management for large‐scale construction projects by: using the BIM model to understand the geometry and features of large‐scale construction projects; digitizing and organizing contract documents, project data, plans, work instructions, roles and responsibilities, cost, time, and energy analysis, and other project‐related documents for efficient project management; decreased duplication and project delays; reducing the need for on‐site personnel during implementation and CO2 emissions reduction. According to the results of the BIM model utilization to better understand the geometry and characteristics of large‐scale construction projects, the item was identified as the most significant and influential among the main components.

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“…If this coefficient is less than or equal to 0.1, the agreement in the judgments is accepted; otherwise, the judgments must be reconsidered 55 …”

Section: Methodsmentioning

confidence: 99%

Section: Analytical Hierarchy Processmentioning

confidence: 99%

Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

Tabejamaat,

Ahmadi,

Barmayehvar

2024

Energy Science & Engineering

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“…However, in this study the overall value of the consistency ratio is 0.1, this happens because of differences in the assessment on the basis of interests from the different stakeholders. With the consistency ratio value above 0.1, other studies suggest that the AHP method should be optimized to reduce the consistency ratio (Moussaoui et al, 2018;Lukinskiy et al, 2021).…”

Section: Table 7priority Towards Repairing Environmental Damagementioning

confidence: 99%

Alternatives selection to control the impact of unlicensed sand mining at Batur Global Geopark using Analytical Hierarchy Process

Rinaldy¹,

Triaswati²,

Martono³

2022

IJLEMR

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Based on the problem of unlicensed sand mining at the Batur Global Geopark, research is needed on controlling the impact of unlicensed sand mining in terms of environmental, social, and economic dimensions, in the Batur Global Geopark area. This study uses the analytical hierarchy process (AHP) method to choose alternative impact control on illegal sand mining at Batur Global Geopark. This study uses assessments from 12 stakeholders. The five AHP criteria in this study are; Increase people's income; Contribute to regional development tax; Simplify the mining permit process; Increase other job opportunities; Minimize the risk of environmental damage; and Repairing environmental damage; while the three alternatives in this study are; Partnership program; Granting community mining permits with relatively simple concepts and obligations; and Closing and providing sanctions in accordance with law. The highest weight of the overall value of all criteria is the partnership program.

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Assessment of the Technical and Economic Security of the Innovative Activity of the Industrial Region

Yashin,

Borisov,

Zakharova

et al. 2023

Environmental Footprints and Eco-Design of Products and Processes

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An Empirical Examination of the Consistency Ratio in the Analytic Hierarchy Process (AHP)

Cited by 4 publications

References 28 publications

Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

Boosting large‐scale construction project risk management: Application of the impact of building information modeling, knowledge management, and sustainable practices for optimal productivity

Alternatives selection to control the impact of unlicensed sand mining at Batur Global Geopark using Analytical Hierarchy Process

Assessment of the Technical and Economic Security of the Innovative Activity of the Industrial Region

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