PRIORITIZING FEEDERS FOR MAINTENANCE ACTIVITIES USING AHP IN NUCLEAR POWER PLANTS

2007 ◽  
Vol 14 (03) ◽  
pp. 275-282 ◽  
Author(s):  
A. SRIVIDYA ◽  
H. N. SURESH
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Decision Making Process ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Prioritization Process ◽  
Maintenance Activities ◽  
Hierarchy Process ◽  
Pair Wise Comparison

The Analytic Hierarchy Process (AHP) is a powerful and flexible decision making process to help people set priorities and make the best decision when both qualitative and quantitative aspects are to be considered. In this paper, a procedure of prioritizing the outlet feeders under multiple criteria using Saaty's priority theory is presented. In priority theory, weights are assigned to the decision criteria via pair wise comparison of criteria. Seven outlet feeders (alternatives) and three decision criteria have been considered and the prioritization process is illustrated with an example case.

Exploration on Ranking Obsolescence Issues of High Priority for Nuclear Power Plant Based on AHP

2017 ◽  
Author(s):  
Wenmin Yu ◽  
Chun Gui ◽  
Ge Tao ◽  
Fangming Lv
Keyword(s):  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Weighted Sum ◽  
Product Model ◽  
Analytic Hierarchy ◽  
The Difference ◽  
Hierarchy Process

Analytic Hierarchy Process (AHP) is applied in this paper to rank obsolescence issues of high priority for nuclear power plants. At first, phenomena of obsolescence issues in nuclear power plants and characteristic of AHP is introduced in this paper; then it is explained and explored to apply AHP to solve the problem. Finally, an application is exampled using weighted sum model and weighted product model as well as AHP to solve the problem. The difference is compared and analyzed to reflect the plant’s concern. Using analytic hierarchy process to rank obsolescence issues for nuclear power plants provides interesting perspective and important support for the decision to select the issues that applied resource is allocated.

scholarly journals Analytical Hierarchy Process as a Tool for Investment Appraisal

2016 ◽  
Vol 8 (4) ◽  
pp. 306
Author(s):  
Ceren Oral
Keyword(s):  
Performance Appraisal ◽  
Investment Decisions ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Investment Appraisal ◽  
Financial Failure ◽  
Hierarchy Process ◽  
Selection Of

<p>Analytic Hierarchy Process (AHP), is the method of multiple-criteria decision analysis. AHP; severity of the important criteria in deciding the pairwise comparisons and it carries out the sequence of decisions alternatives. AHP is a powerful and easy to understand method that allows combining qualitative and quantitative factors in the decision making process for groups and individuals.</p><p>AHP in finance is a frequently used method especially financial performance appraisal, credit appraisal, the financial failure prediction, estimation of the exchange rate and the selection of projects. Evaluation and selection of projects is a difficult task before making investment decisions. In this context, it has been developed a case study to determine the best project by applying the AHP technique. For this purpose, considering four criteria, the best projects between options have been identified and evaluated by alternative four projects.</p>

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

Comparison of Judgment Scales of the Analytical Hierarchy Process — A New Approach

2019 ◽  
Vol 18 (02) ◽  
pp. 445-463 ◽  
Author(s):  
Klaus D. Goepel
Keyword(s):  
Analytical Hierarchy Process ◽  
Analytic Functions ◽  
Decision Problem ◽  
Decision Criteria ◽  
Maximum Weight ◽  
Analytic Hierarchy ◽  
New Approach ◽  
Scale Functions ◽  
Decision Method ◽  
Hierarchy Process

The analytic hierarchy process (AHP) remains a popular multi-criteria decision method. One topic under discussion of AHP is the use of different scales to translate judgments into ratios. The author makes a new approach to compare different scale functions and to derive a recommendation for the application of scales. The approach is based on simple analytic functions and takes into consideration the number of criteria of the decision problem. A generalization of the so-called balanced scale is proposed, and a new adaptive-balanced scale is introduced. Scales are then categorized and compared based on weight boundaries and weight ratios, weight uncertainties, weight dispersion and number of decision criteria. Finally, a practical example of a decision hierarchy is presented applying the different scales. The results show that the generalized balanced scale improves weight dispersion and weight uncertainty in comparison to the fundamental AHP scale. The proposed adaptive-balanced scale overcomes the problem of a change of the maximum weight depending on the number of decision criteria.

Sign in / Sign up

Export Citation Format

Share Document