The Use of Judgment Matrices in Subjective Workload Assessment: The Subjective Workload Dominance (SWORD) Technique

1989 ◽  
Vol 33 (20) ◽  
pp. 1406-1410 ◽  
Author(s):  
Michael A. Vidulich
Keyword(s):  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Geometric Mean ◽  
Data Sets ◽  
Analytic Hierarchy ◽  
Geometric Means ◽  
Subjective Workload ◽  
Hierarchy Process

One objective of the project was to determine compare two analytic algorithms for converting judgment matrices into subjective workload ratings. The original eigenvector algorithm used in Saaty's Analytic Hierarchy Process (AHP) was compared an algorithm of calculating geometric means. Also, three methods of identifying excessively inconsistent matrices were compared. Data from nine previous experiments were re-examined in the present analysis. There were no differences between the AHP ratings and the geometric mean ratings in terms of their sensitivity to the experimental manipulations. However, two of the inconsistency measures were successfully used to cull the data-sets of inconsistent matrices and improved the statistical sensitivity of one set of ratings. These findings suggest that: (1) the computationally simpler geometric means algorithm can be used as an alternative to the eigenvector algorithm, and (2) culling inconsistent matrices can sometimes improve rating sensitivity. These findings, along with previous research, demonstrate that judgment matrices can be a very valuable workload assessment tool. The essential steps for the proper use of judgment matrices in workload assessment are reviewed. A user's guide and software are also being prepared to aid researchers and practitioners

scholarly journals A Novel Approach for Ontological Representation of Analytic Hierarchy Process

2014 ◽  
Vol 988 ◽  
pp. 675-682 ◽  
Author(s):  
Yong Xin Liao ◽  
Eduardo Rocha Loures ◽  
Osíris Canciglieri ◽  
Hervé Panetto
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Assessment Methods ◽  
Multi Criteria Decision Making ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Novel Approach ◽  
Priority Assessment ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) is one of the widely accepted and frequently used priority assessment methods. A number of studies, which employed the AHP method, have already been carried out in different domains to support their multi-criteria decision-making definitions and applications. However, few researchers have paid attentions to extract and represent the important concepts and their relationships from the AHP method itself. The aim of this study is firstly to propose a way for representing the AHP method as an AHP Ontology together with a set of reasoning rules. Then, a prototype assessment tool is developed to show the possibility of obtaining more flexibility and reusability of this ontological representation.

Decisor: A Software Tool to Drive Complex Decisions with Analytic Hierarchy Process

2019 ◽  
Vol 18 (01) ◽  
pp. 65-86 ◽  
Author(s):  
Ricardo M. Czekster ◽  
Henrique Jung De Carvalho ◽  
Gabriela Zucchetti Kessler ◽  
Liane Mahlmann Kipper ◽  
Thais Webber
Keyword(s):  
Analytic Hierarchy Process ◽  
Geometric Mean ◽  
Data Entry ◽  
Software Tool ◽  
Decision Modeling ◽  
Analytic Hierarchy ◽  
Complex Decision ◽  
Simple Interface ◽  
User Friendly ◽  
Hierarchy Process

Addressing consistent and reliable decision-making are crucial activities when choosing seemingly related alternatives for a set of criteria. Models and methods for aiding decisions such as analytic hierarchy process (AHP) were developed to handle quantified assessments of quality attributes, usually intangible and numerically hard to cope. We introduce the Decisor software tool to assist the use of AHP to drive complex decision modeling. We present a study of related tools describing advantages and drawbacks. The tool is user friendly, with intuitive data entry fields. Users may input alternatives and criteria, assigning weights from different judgment scales. Decisor’s main characteristic is its simple interface where the tool computes priority vectors for all alternatives and its consistency rates. It is also possible to operate with negative weighting, inferring Benefits, Opportunities, Costs, and Risks. The tool implements Group Decisions, using the geometric mean to combine criteria comparisons from selected stakeholders.

scholarly journals ANALYTICAL HIERARCHY PROCESS AND MARKOV CHAIN IN SHARED KNOWLEDGE THROUGH SOCIAL MEDIA

2015 ◽  
Vol 77 (5) ◽  
Author(s):  
Nor Intan Saniah Sulaiman ◽  
Saadiah Ghazali ◽  
Nerda Zura Zabidi ◽  
Mohd Faizal Omar ◽  
Rose Alinda Alias
Keyword(s):  
Social Media ◽  
Markov Chain ◽  
Analytic Hierarchy Process ◽  
Knowledge Sharing ◽  
Analytical Hierarchy Process ◽  
Assessment Tool ◽  
Shared Knowledge ◽  
Analytic Hierarchy ◽  
Sharing Strategy ◽  
Hierarchy Process

Many studies have been performed to measure successful knowledge sharing in general. However, limited study has been done to assess successful knowledge sharing through social media. Hence, in this paper intend to discuss our approach to assess   knowledge sharing among personal social media user. In order to achieve our objective, we proposed to integrate Analytic Hierarchy Process (AHP) and Markov Chain (MC) technique to investigate the pattern of the shared knowledge through social media. Markov Chain will be used to model the knowledge sharing success through expert opinion and stochastic process. We anticipate the outcome of the assessment in a form of a final matrix showing the probability of successful knowledge sharing through social media. The elements in each row of the Markov Chain transition matrix will be calculated using Analytic Hierarchy Process.  The assessment tool produce from our research is expected to benefit policy maker or internet user in order to enhance their knowledge sharing strategy in social media application.

Assessment of hybrid Lean-Agile (Leagile) supply chain strategies

2016 ◽  
Vol 27 (4) ◽  
pp. 470-482 ◽  
Author(s):  
Masoud Rahiminezhad Galankashi ◽  
Syed Ahmad Helmi
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Design Methodology ◽  
Assessment Tool ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Supply Chain Strategy ◽  
Operational Activities ◽  
Hierarchy Process ◽  
New Framework

Purpose – The purpose of this paper is to propose a new assessment tool for Leagility. Design/methodology/approach – This research was carried out to systematically propose the operational activities of Leagile supply chains (SCs) with regard to SC drivers. Particularly, SC logistic (facility, transportation and inventory) and cross-functional drivers (information, sourcing and pricing) were selected to classify all operational activities of Leagile SCs. Findings – This study proposed a new framework to evaluate the operational activities of Leagile SCs. Operational activities of Leagile supply chain strategy were determined and categorized with regard to SC drivers. These activities were ranked using an analytic hierarchy process and were then categorized using a cycle view of SC. Originality/value – This study contributed in proposing operational activities of Leagile SC based on its major drivers. The result of this study assist managers, scholars and practitioners to construct new Leagile SCs or assess their Leagility level.

scholarly journals Application of Analytic Hierarchy Process for Assessing Sustainable Development among Underprivileged Communities

2016 ◽  
Vol 9 (5) ◽  
pp. 70 ◽  
Author(s):  
Lazim Abdullah ◽  
Jin Yong Pang
Keyword(s):  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Local Community ◽  
Geometric Mean ◽  
Analytic Hierarchy ◽  
Community Quality Of Life ◽  
Global Weight ◽  
Economic Partnership ◽  
Development Assessment ◽  
Hierarchy Process

<p>One of the purposes of sustainable development assessment is to identify the most importance criteria and sub-criteria of sustainable development that have the most significant contribution to the local community. To date, few studies have inquired into qualitative methods to assess these criteria and sub-criteria. In response to this gap in the literature, we propose an application of the analytic hierarchy process (AHP) method to prioritize thirteen sub-criteria of sustainable development among underprivileged community of Setiu Wetlands Terengganu. Consistency ratio and weighted geometric mean are the two important computation steps of the AHP prior to proposing global weights of sub-criteria. The computational results indicate that ‘Education’ is the most important sub-criteria with 15.4 % of global weight. At the other extreme ‘global economic partnership’ is the least important sub-criteria for this group of community. The outcome of the proposed method is a weight of sustainability for all sub-criteria which offers a guide to government in identifying the appropriate action for uplifting the community quality of life.</p>

scholarly journals Prioritizing risk events of a large hydroelectric project using fuzzy analytic hierarchy process

2021 ◽  
Vol 6 (3) ◽  
pp. 107-120
Author(s):  
Nehal Elshaboury
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Hydroelectric Plant ◽  
Geometric Mean ◽  
Arithmetic Mean ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Maximum Minimum

The existence of hydroelectric plants along Amazon River tributaries is a solution to satisfy the energy demand in Brazil. However, these plants are subjected to multiple risk events because of the geographic and socioeconomic characteristics of this region. In helping to address these escalating challenges, this paper presents a framework that assesses the risk events of service packs relevant to the plant. This framework presents a transparent approach for prioritizing risk events in large projects. The weights of importance of risk events are estimated using the fuzzy analytic hierarchy process. Chang’s extent analysis method takes into consideration the vagueness and imprecision of subjective human judgments. The convergence of decisions is evaluated using two aggregation approaches, namely the maximum-minimum method based on an arithmetic mean and a geometric mean. The performances of the original and modified extent analysis methods are compared using group Euclidean distance and distance between weights metrics. The degree of similarity between the evaluation metrics is examined using Spearman’s rank correlation coefficient and average overlap approaches. Due to the inconsistency of the reported results, the final rankings of the aggregation approaches are determined using a new aggregated multiple criteria decision making method. The results indicate that the original extent analysis method using the maximum-minimum method (arithmetic mean) is the best aggregation method. A Santo Antonio hydroelectric plant in Brazil is used to demonstrate the application of the proposed framework.

scholarly journals Preliminary Study on the Prioritization of Asset Integrity Elements for Catastrophic Industrial Accident’s Warning Signs Using Analytic Hierarchy Process (AHP)

2020 ◽  
Vol 6 (1) ◽  
pp. 26-31
Author(s):  
Azizan Ramli ◽  
Siti Hawa Amran ◽  
Nurul Sa'aadah Sulaiman
Keyword(s):  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Human Life ◽  
Warning Signs ◽  
Response Analysis ◽  
Warning Sign ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Preliminary Study ◽  
Hierarchy Process

The catastrophic incident is a big event with high level of consequences and it is defined as either natural or man-made. Therefore, in appreciating the importance of disaster management cycle of the preparedness phase, recognizing the warning signs is one of the considerable means to avoid huge losses in term of property damage and human life. Thus, this study is to emphasize on asset integrity elements based on the “Incident Warning Sign Self- Assessment Tool” of the Center for Chemical Process Safety (CCPS-AlChE). The aim is to conduct the preliminary study on prioritizing the importance level of these elements and determine the weightage of each. A set of questions was constructed and distributed to the safety experts from the selected process industries located at East Coast region of West Malaysia. The Analytic Hierarchy Process (AHP) is used as a response analysis tool. The relevant data were derived using pairwise comparison analysis. The findings show that the weightage for “alarm & safety system” (0.219) and “maintenance’ (0.212) are at the highest priority amongst other clusters. The finding indicates that these two factors ought to be at the apex of the mitigations and preparedness measures which require an immediate attention.

scholarly journals Developing a Landscape Sustainability Assessment Model Using an Analytic Hierarchy Process in Korea

2019 ◽  
Vol 12 (1) ◽  
pp. 301 ◽  
Author(s):  
Hyung-Sook Lee ◽  
Eun-Yeong Park
Keyword(s):  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Sustainability Assessment ◽  
Green Building ◽  
Assessment Model ◽  
Rating System ◽  
Extensive Literature ◽  
Landscape Sustainability ◽  
Analytic Hierarchy ◽  
Hierarchy Process

With the increasing interest in integrative sustainable development, there has been a strong need for a landscape sustainability assessment tool independent from the existing green building rating system. This study aimed to establish an assessment model to objectively evaluate landscape sustainability using an analytic hierarchy process (AHP). Through an extensive literature review and expert survey, an initial list of assessment items was derived and used to set up an AHP model. An AHP survey with landscape architects and architects/engineers was then conducted to determine the importance of the assessment factors. In addition, the model was applied to three projects that were previously certified by a green building rating system in Korea. The AHP results showed that “site context” ranked as the most important factor of landscape sustainability followed by “soil and vegetation,” “maintenance,” “water,” “health and wellbeing,” and “materials.” Among the 20 assessment factors, “monitoring plan” was evaluated as the most important index, followed by “protection of cultural heritage” and “long-term management plan.” Landscape architects evaluated “soil and vegetation” as the most important in the assessment, while the engineers/architects group rated “site context” as the most important. When tested by applying them to the previously certified projects, the developed factors provided more objective and detailed information on landscape sustainability.

Absolute Magnitude Estimation and Relative Judgement Approaches to Subjective Workload Assessment

1987 ◽  
Vol 31 (9) ◽  
pp. 1057-1061 ◽  
Author(s):  
Michael A. Vidulich ◽  
Pamela S. Tsang
Keyword(s):  
Analytic Hierarchy Process ◽  
Magnitude Estimation ◽  
Rating Scale ◽  
Estimation Method ◽  
Absolute Magnitude ◽  
Validity And Reliability ◽  
Analytic Hierarchy ◽  
Task Load ◽  
Subjective Workload ◽  
Hierarchy Process

Two rating scale techniques employing an absolute magnitude estimation method, were compared to a relative judgement method for assessing subjective workload. One of the absolute estimation techniques used was an unidimensional overall workload scale and the other was the multidimensional NASA-Task Load Index technique. Thomas Saaty's Analytic Hierarchy Process was the unidimensional relative judgement method used. These techniques were used to assess the subjective workload of various of single- and dual-tracking conditions. The validity of the techniques was defined as their ability to detect the same phenomena observed in the tracking performance. Reliability was assessed by calculating test-retest correlations. Within the context of the experiment, the Saaty Analytic Hierarchy Process was found to be superior in validity and reliability. These findings suggest that the relative judgement method would be an effective addition to the currently available subjective workload assessment techniques.

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