scholarly journals Multicriteria analysis in hazards assessment in Libya

2012 ◽  
Vol 7 (2) ◽  
pp. 59-70
Author(s):  
Martina Zeleňáková ◽  
Ibrahim Gargar ◽  
Pavol Purcz
Keyword(s):  
Risk Assessment ◽  
Multicriteria Analysis ◽  
Pairwise Comparison ◽  
Developed Countries ◽  
Decision Makers ◽  
Risk Level ◽  
Analytic Hierarchy ◽  
The Given ◽  
Hierarchy Process ◽  
Developing And Developed Countries

Abstract Environmental hazards (natural and man-made) have always constituted problem in many developing and developed countries. Many applications proved that these problems could be solved through planning studies and detailed information about these prone areas. Determining time and location and size of the problem are important for decision makers for planning and management activities. It is important to know the risk represented by those hazards and take actions to protect against them. Multicriteria analysis methods - Analytic hierarchy process, Pairwise comparison, Ranking method are used to analyse which is the most dangerous hazard facing Libya country. The multicriteria analysis ends with a more or less stable ranking of the given alternatives and hence a recommendation as to which alternative(s) problems should be preferred. Regarding our problem of environmental risk assessment, the result will be a ranking or categorisation of hazards with regard to their risk level.

scholarly journals Evaluating and ranking the circular supply chain implementation enablers

2021 ◽  
Author(s):  
Swapnil Lahane ◽  
◽  
Himanshu Prajapati ◽  
Ravi Kant ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Global Climate ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Effective Implementation ◽  
Manufacturing Organizations ◽  
Scarcity Of Resources ◽  
Hierarchy Process

This research aims to evaluate and rank the Circular Supply Chain (CSC) enablers for the effective implementation of CSC management. From the literature and input received from industrial experts, 30 CSC enablers are identified. Further, the selected CSC enablers are classified into seven main categories. This research employs the Pythagorean fuzzy analytic hierarchy process (PF-AHP) technique to prioritize the selected CSC enablers based on pairwise comparison of criteria and sub-criteria. The effectiveness of the proposed method is illustrated with the help of responses received from an Indian manufacturing industry. The result reveals that global climate pressure and ecological scarcity of resources is the most significant enabler and the environment management certifications and systems is the least important enabler. The result of the present study will assist the practitioners / decision makers in implementing CSC in manufacturing organizations by adopting the ranking obtained in a systematic way.

An ERP selection using a hybrid methodology

2020 ◽  
Vol 20 (3) ◽  
pp. 689-695
Author(s):  
Teresa Pereira ◽  
Fernanda A. Ferreira
Keyword(s):  
Enterprise Resource Planning ◽  
Value Function ◽  
Pairwise Comparison ◽  
Resource Planning ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Industrial Context ◽  
Selection Of

With this work, we developed a multi-criteria decision-making model to assess and select an Enterprise Resource Planning (ERP), using a multi-criteria decision analysis (MCDA). A hybrid multi-criteria methodology is used for the assessment and selection of an ERP, combining the MMASSI/IT methodology, which is used to both define the relevant family of criteria, based on their features and flexibility to change and adapt to a given scope, and the weight of criteria. Then, the well-known Analytic Hierarchy Process (AHP) methodology is used to perform the decision-makers’ value function elicitation preference of alternatives pairwise comparison in each criterion. The additive aggregation is used to compute the alternatives global score. The proposed hybrid model was validated in an industrial context by three Decision-makers.

scholarly journals Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System

2018 ◽  
Vol 10 (12) ◽  
pp. 4780 ◽  
Author(s):  
Min-Sung Kim ◽  
Eul-Bum Lee ◽  
In-Hye Jung ◽  
Douglas Alleman
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Raw Materials ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Inference System ◽  
Hierarchy Process

This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid decision-makers in the risk assessment and mitigation of overseas steel-plant projects. Through a thorough literature review, the authors identified 57 risks associated with international steel construction, operation, and transference of new technologies. Pairwise comparisons of all 57 risks by 14 subject-matter experts resulted in a relative weighting. Furthermore, to mitigate human subjectivity, vagueness, and uncertainty, a fuzzy analysis based on the findings of two case studies was performed. From these combined analyses, weighted individual risk soring resulted in the following top five most impactful international steel project risks: procurement of raw materials; design errors and omissions; conditions of raw materials; technology spill prevention plan; investment cost and poor plant availability and performance. Risk mitigation measures are also presented, and risk scores are re-assessed through the AHP-FIS analysis model depicting an overall project risk score reduction. The model presented is a useful tool for industry performing steel project risk assessments. It also provides decision-makers with a better understanding of the criticality of risks that are likely to occur on international steel projects.

scholarly journals Predictor Analysis in Group Decision Making

Stats ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 108-121
Author(s):  
Stan Lipovetsky
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Regression Modeling ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Predictor Importance ◽  
Multiple Experts ◽  
Hierarchy Process

Priority vectors in the Analytic Hierarchy Process (AHP) are commonly estimated as constant values calculated by the pairwise comparison ratios elicited from an expert. For multiple experts, or panel data, or other data with varied characteristics of measurements, the priority vectors can be built as functions of the auxiliary predictors. For example, in multi-person decision making, the priorities can be obtained in regression modeling by the demographic and socio-economic properties. Then the priorities can be predicted for individual respondents, profiled by each predictor, forecasted in time, studied by the predictor importance, and estimated by the characteristic of significance, fit and quality well-known in regression modeling. Numerical results show that the suggested approaches reveal useful features of priority behavior, that can noticeably extend the AHP abilities and applications for numerous multiple-criteria decision making problems. The considered methods are useful for segmentation of the respondents and finding optimum managerial solutions specific for each segment. It can help to decision makers to focus on the respondents’ individual features and to increase customer satisfaction, their retention and loyalty to the promoted brands or products.

scholarly journals Constrained Eigenvalue Minimization of Incomplete Pairwise Comparison Matrices by Nelder-Mead Algorithm

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 222
Author(s):  
Hailemariam Abebe Tekile ◽  
Michele Fedrizzi ◽  
Matteo Brunelli
Keyword(s):  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Maximum Eigenvalue ◽  
Analytic Hierarchy ◽  
Pairwise Comparison Matrix ◽  
Interval Constraints ◽  
Incomplete Pairwise Comparison Matrix ◽  
The Given ◽  
Hierarchy Process ◽  
Nelder Mead Algorithm

Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularly in the analytic hierarchy process (AHP). Another form of preference modeling, called an incomplete pairwise comparison matrix, is considered when one or more elements are missing. In this paper, an algorithm is proposed for the optimal completion of an incomplete matrix. Our intention is to numerically minimize a maximum eigenvalue function, which is difficult to write explicitly in terms of variables, subject to interval constraints. Numerical simulations are carried out in order to examine the performance of the algorithm. The results of our simulations show that the proposed algorithm has the ability to solve the minimization of the constrained eigenvalue problem. We provided illustrative examples to show the simplex procedures obtained by the proposed algorithm, and how well it fills in the given incomplete matrices.

scholarly journals Risk Assessment of Tunnel Portals in the Construction Stage Based on Fuzzy Analytic Hierarchy Process

2018 ◽  
Vol 64 (4) ◽  
pp. 69-87
Author(s):  
Xianghui Deng ◽  
Rui Wang ◽  
Tian Xu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Control Measures ◽  
Fuzzy Analytic Hierarchy Process ◽  
Risk Level ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Tunnel Portal

AbstractThis study presents a fuzzy analytic hierarchy process (FAHP) by integrating analytic hierarchy process (AHP) and fuzzy cognition to evaluate the construction risks of tunnel portals. Wuguanyi Tunnel is taken as the research objective to validate the performance of the proposed method. The result shows that the proposed decision making method can effectively identify risk factors and determine the risk level during the construction of tunnel portals. Finally, the corresponding control measures during the construction of the Wuguanyi Tunnel portal are proposed according to the risk assessment results.

Study of Transportation Corridor of the Dangerous Mountainous Areas Based on GIS

2014 ◽  
Vol 644-650 ◽  
pp. 1338-1341
Author(s):  
Rong Huai Chen ◽  
Xue Xian Chen ◽  
Ying Gao ◽  
Teng Zhao
Keyword(s):  
Wide Distribution ◽  
Disaster Risk ◽  
Risk Level ◽  
Geological Hazards ◽  
Mountainous Areas ◽  
Analytic Hierarchy ◽  
Transportation Corridor ◽  
Traffic Corridor ◽  
The Given ◽  
Hierarchy Process

As the geological hazards in mountainous areas in Southwest of China has the characteristic of different varieties, wide distribution and great harm. So, it is important to conduct the roads in scientific and rational method under the changing environment, especially to choose the traffic corridor with lower risk. In this paper, including the contents of analyzing the factors which influence the disaster risk and using the analytic hierarchy process with GIS spatial analysis to evaluate the disaster risk level of the mountainous areas of the traffic corridor under the given example-Sichuan-Tibet Railway from Changdu to Kangding.

scholarly journals Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

2020 ◽  
Author(s):  
Sheng-Shan Chen ◽  
Han-Xiang Wang ◽  
Hao Jiang ◽  
Ya-Nan Liu ◽  
Yan-Xin Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Level ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Abstract Casing corrosion during CO2 injection or storage results in significant economic loss and increased production risks. Therefore, in this paper, a corroded casing risk assessment model based on analytic hierarchy process and fuzzy comprehensive evaluation is established to identify potential risks in time. First, the corrosion rate and residual strength characteristics are analyzed through corrosion tests and numerical simulations, respectively, to determine the risk factors that may lead to an accident. Then, an index system for corroded casing risk evaluation is established based on six important factors: temperature, CO2 partial pressure, flow velocity, corrosion radius, corrosion depth and wellhead pressure. Subsequently, the index weights are calculated via the analytic hierarchy process. Finally, the risk level of corroded casing is obtained via the fuzzy comprehensive evaluation. The corroded casing risk assessment model has been verified by a case well, which shows that the model is valuable and feasible. It provides an effective decision-making method for the risk evaluation of corroded casing in CO2 injection well, which is conductive to improve the wellbore operation efficiency.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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