The analytical hierarchy process model was designed by tl saaty as a decision making aid. Identifying critical decisions and performing sensitivity analysis can expose potential issues and lead to an architecture better prepared for future change. Simulation analysis estimation of the distribution of different possible outcomes. Deterministic sensitivity analysis well focus on simple deterministic sensitivity analyses oneway. In the paper one of the multiplecriteria decisionmaking methods the analytic hierarchy process ahp. On sensitivity analysis in the analytic hierarchy process. In this tutorial you will learn how to transform an ahp model to an anp model that is a pairwise comparisons model with. Sensitivity analysis method to address user disparities in the analytic. Further, an explicit understanding of uncertainty designation, categorization, and quantification with respect to the methodological properties of the ahp is developed and used to analyse a hypothetical group decision problem located in the. Pdf an application of analytic hierarchy process ahp.
Analytical hierarchy process, decisionmaking, maintenance policy an application of analytic hierarchy process ahp and sensitivity analysis for maintenance policy selection 1 introduction. Scenario analysis project analysis given a particular combination of assumptions. Helps in identifying how dependent the output is on a particular input value. In addition, the techniques are not restricted to any particular domains. Pdf on sensitivity analysis in the analytic hierarchy process. Pdf on some aspects of sensitivity analysis in ahp an. Sensitivity analysis abstract sensitivity analysis provides users of mathematical and simulation models with tools to appreciate the dependency of the model output from model input, and to investigate how important is each model input in determining its output.
Sensitivity analysis in the analytic hierarchy process. In doing so, it looks at why organizations need to. The proposed model can assist the banking sector in assessing the. The results of change in the weight of one attribute on the final ranking of alternatives alireza alinezhada, abbas aminib aassistant professor, faculty of industrial and mechanical engin eering, qazvin branch, islamic azad university, qazvin, iran. In particular, we discuss problem modelling, pairwise comparisons, judgement scales, derivation methods, consistency indices, synthesis of the weights and sensitivity analysis.
Jan, 2010 sensitivity analysis model which can be downloaded from my website. Adams, anp row sensitivity and the resulting influence analysis 1. Multicriteria evaluation and sensitivity analysis arxiv. This sensitivity analysis can be performed to read the standard of the tolerance limit in which the change influencing the standard reaches a certain level. Analyses if the dependency in turn helps in assessing the risk. This study applies the balanced scorecard in building a framework of wealth management wm banks performance criterion and, using the delphi method, a subcriteria framework. The results of the sensitivity analysis indicate that humanrelated mistakes are the main cause to negatively affect the rank of three diamond cutting machines dfd660, dfd670 and awd300. An integrated framework comprising of ahp, expert questionnaire survey and sensitivity analysis for risk assessment in mining projects. An application of analytic hierarchy process ahp and. Moreover, a sensitivity analysis also presents an important implication of this study. The analytic hierarchy process for sensitivity analysis the analytic hierarchy process ahp is here employed to provide a structured method of analysis of the thermalhydraulic process of a passive system, so as to allow identifying the important parameters related to the target of the system design. Sensitivity analysis analysis of the effects of changes in sales, costs, etc. Uncertainty and sensitivity analysis techniques as tools.
Thus, the method remains at the stage where users can produce a goal model to help them understand and clarify the tradeoffs qualitatively. An introduction to sensitivity analysis mit opencourseware. Sensitivity analysis suppose that you have just completed a linear programming solution which will have a major impact on your company, such as determining how much to increase the overall production capacity, and are about to present the results to the board of directors. Mar 29, 2018 sensitivity analysis is a method for predicting the outcome of a decision if a situation turns out to be different compared to the key predictions.
Here ahp is applied for selection of a student from an engineering college who is eligible for all round excellence award for. Aug 29, 20 how to do a sensitivity analysis in excel with two input variables. An application of ahp and sensitivity analysis for selecting the best slicing machine. Sensitivity analysis method to address user disparities in. Sensitivity analysis of the ahp and topsis methods for the selection of the best lecturer base on the academic achievement indriyati1, bayu surarso2, eko adi sarwoko3 1,3informatics department, faculty of mathematic and natural sciences diponegoro university, semarang 1email. In this study, decision analysis based on ternary analytic hierarchy process tahp is proposed as a novel model to aid managers who responsible in making. Saaty 1977, 1980, 1988, 1995 and is one of the best known and most widely used mca approaches. A comprehensive uncertainty analysis of the analytic. Hierarchical sensitivity analysis of priority used in analytic hierarchy. The ahp is shown to be a valuable technology for aggregating group judgments. Change one parameter at a time keeping all others constant standard way of presenting oneway sensitivity analyses results is to plot the parameter you are changing in the xaxis and an output of interest on the yaxis. Analytical hierarchy process institute for manufacturing. This article describes the original analytic hierarchy process ahp as it is implemented in the software package expert choice. The ahp is a widely used technique for multiattribute decisionmaking.
Financial service sector performance measurement model. Sensitivity analysis is used to analyze how the priorities of the alternative solutions change as we vary the priority of. An application of analytic hierarchy process ahp and sensitivity. Hambali department of mechanical and manufacturing engineering, universiti putra malaysia, 43400 upm serdang, selangor, malaysia. The analytic hierarchy process ahp is an area of research in mcdm where the problem is decomposed into a hierarchic model in order to rank the alternatives. The analytic hierarchy process ahp is a popular multiobjective tool of decision analysis. Here ahp is applied for selection of a student from an engineering college who is. Selection of foundation design on bridge sei muara bulan. By using a defined process to select and prioritize projects, organizations can most effectively make decisions that can help them realize strategic goals shaping their project portfolios.
Ahp and sensitivity analysis to study costdependency of decision. The analytic hierarchy process ahp initiated by saaty 1980 has recently been attracting attention as a useful support method for multiobjective decision. This paper examines how organizations can use the analytic hierarchy process ahp to select and prioritize the projects grouped within a project portfolio. A gisbased sensitivity analysis of multicriteria weights.
Related content collaborative decisionmaking on wind power projects based on ahp method. In model building using the ahp, sensitivity analysis is a crucial step in determining if the solution is implementable and robust. Methods and guidelines for sensitivity analysis, including. Finally, the conclusions and managerial implications are presented in section 6. One advantage of ahp is that it illustrates how possible changes in priority at upper levels have an effect on the priority of criteria at lower levels.
Sensitivity analysis of a decisionmaking problem using. Analisis sensitivitas merupakan suatu analisis untuk dapat melihat pengaruh2 yang akan terjadi akibat keadaan yang berubahubah tujuan analisis sensitivitas. The analytic hierarchy process ahp is a multicriteria decision making approach and was introduced by saaty. On some aspects of sensitivity analysis in ahp an illustration p. Using sensitivity analysis, the finance department can run the simulation over a chosen set of values of the growth rate, generating a separate distribution of the net present value for each value of the growth rate. The paper adopts a case study approach of selecting most appropriate maintenance policy in the case of slovenian paper mill company. We describe several ways of enhancing this decisionmaking process through the use of sensitivity analysis, an extension to ahp which is relatively unstudied. Pdf the analytic hierarchy process ahp is a popular multiobjective tool of decision analysis. Sensitivity in ahp s pairwise matrix and sensitivity analysis in weightings of objectives and criteria as discussed in section 3. Parameter sensitivity analysis of monte carlo simulations of copper electrodeposition with multiple additives timothy o.
The ahp excel template works under windows os and excel version ms excel 20. An overview of uncertainty issues associated with the analytic hierarchy process ahp is provided. We describe several ways of enhancing this decisionmaking process. Tutorialthe superdecisions software for ahp and anp 2. Selection of foundation design on bridge sei muara bulan anak 2 to cite this article. Introduction in ahp models sensitivity calculations allow one to perform two important analyses. Dr thomas saaty, has recently completed a nextgeneration version of the software called decision lens. Alkire,z department of chemical and biomolecular engineering and national center for supercomputing. The purpose of this paper is to apply an analytic hierarchy process ahp for the evaluationselection of maintenance policy. The selection of appropriate work center is one of the most critical decision in process planning of a successful production environment. Process ahp is an area of research in mcdm where the problem is decomposed into a hierarchic model in order to rank the alternatives. In addition, sensitivity analysis is applied to extend our analysis by using several whatif scenarios in order to. If the tests reveal that the model is insensitive, then it may be possible to use an estimate rather than a value with greater precision.
For example, zhong and gu 2010 developed an ahp model to assess blackstart schemes for fast restoration of a power system. Analytical hierarchy process, decisionmaking, maintenance. Flood management is an important issue in japan as japanese rivers are steep in gradient and short in length, and some 120 million people populate the river basin densely. First ahp sensitivity analyses can be used to do whatif analysis e. Sensitivity analysis in ahp sensitivity analysis is a fundamental concept in the effective use and implementation of quantitative decision models, whose purpose is to assess the stability of an optimal solution under changes in the parameters. Several steps of the ahp method are used in order to structure the decisionmaking process. Parameter sensitivity analysis of monte carlo simulations. Superdecisions software tutorial hyperlinked index must be in slideshow mode for hyperlinks to work outline of process create a cluster create a node in a cluster create links between nodes and hence clusters make pairwise comparisons. This paper provides a sensitivity analysis of the judgements used in the analytic hierarchy process ahp in relation to the rank reversal produced in two different situations. An application of ahp and sensitivity analysis for selecting. Sensitivity analysis can also indicate which parameter values are.
Mar 01, 2009 application of analytical hierarchy process ahp and sensitivity analysis for selecting the best design concepts during conceptual design stage a. Application of analytical hierarchy process ahp and. On sensitivity analysis in the analytic hierarchy process article pdf available in ima journal of mathematics applied in business and industry 31. The ahp through utilizing expert choice software was implemented to determine the most suitable design concept of wheelchair design at the conceptual design stage. Sensitivity analysis is used to analyze how the priorities of the alternative solutions change as we vary the priority of one or more decision making factors criteria. The analytical hierarchy process ahp process is a decisionmaking tool that describes complex problems in hierarchical structures with varying degrees comprising ahp objectives, criteria and alternatives. Sensitivity analysis method to address user disparities in ahp. An importance scale is proposed for these comparisons based on a large number of experiments table 1. Sensitivity analysis is a fundamental concept in the effective use and implementation of quantitative decision models, whose purpose is to assess the stability of an optimal solution under changes in the parameters. International journal of management science and engineering management. This paper aims at giving an application of analytical hierarchy process ahp, a multi criteria decision making method. The sensitivity analysis was performed to test the stability of the priority ranking and to increase the confidence in the selection of design concepts. We describe several ways of enhancing this decisionmaking process through the use of sensitivity. This sensitivity analysis can be performed to read the standard of the tolerance limit.
Uncertainty and sensitivity analyses denver, colorado. Thomas saaty developed the analytical hierarchy process ahp in the following decade, deriving priority vectors from matrices of pairwise. In this chapter we will address those that can be answered most easily. In this study, a userfriendly decision support system is proposed for work center selection. An application of analytic hierarchy process ahp and sensitivity analysis for maintenance policy selection damjan maletic damjan. The workbook consists of 20 input worksheets for pairwise comparisons, a sheet for the consolidation of all judgments, a summary sheet to display the result, a sheet with reference tables random index, limits for geometric consistency index gci, judgment scales. Every commercial linearprogramming system provides this elementary sensitivity analysis, since the calculations are easy to. However, since it considers the expert opinions for assigning weights, it essentially allows a degree of subjectivity in the pairwise comparisons. An uncertainty and sensitivity analysis approach for gis. We begin by discussing related work on tradeoff analysis and sensitivity analysis. Sensitivity analysis suppose that you have just completed a linear programming solution which will have a major impact on your company, such as determining how much to increase the overall production capacity, and are about to present the results to. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators.
Tradeoff and sensitivity analysis in software architecture. Using the analytic hierarchy process ahp to select and. There are a number of questions that could be asked concerning the sensitivity of an optimal solution to changes in the data. An application of ahp and sensitivity analysis for. Analytic hierarchy process, deterministic decision making, multicriteria decision making, sensitivity analysis, and weighted sum model. Sensitivity analysis of the ahp and topsis methods for the. Break even analysis analysis of the level of sales or other variable at which the. The organisational performance of wm banks in taiwan is evaluated by applying an analytic hierarchy process and sensitivity analysis.
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