The preferred characteristics are strongly more important The preferred characteristics are moderately more important The preferred characteristics are slightly more important Two characteristics are equally important The ahpsurvey package provides a workflow for researchers to quantify and visualise inconsistent pairwise comparisons that aids researchers in improving the AHP design and adopting appropriate analytical methods for the AHP.Ī gentle introduction of the AHP survey methodology: Rating Censoring observations with inconsistency is likely to result in a greatly decreased statistical power of the sample, or may lead to unrepresentative samples and nonresponse bias. Even if an electronic version that allows immediate feedback of consistency ratio is used, respondents asked to repeatedly change their answers are likely to be mentally fatigued. Inconsistent choices are also prevalent in AHP conducted in the survey format, where it is impractical for enumerators to identify and correct for inconsistent responses on the spot when the surveys are delivered in paper format. Hitherto, there are no good ways of computing and visualising the heterogeneity amongst AHP decision-makers, which is common in survey data. However, researchers looking to adopt the AHP in the analysis of survey data often have to manually reformat their data, sometimes even involving dragging and copying across Excel spreadsheets, which is painstaking and prone to human error. The tools currently available in R for the analysis of AHP data, such as the packages ahp by Glur (2018) and Prize by Dargahi (2016), are excellent tools for performing the AHP at a small scale and offers are excellent in terms of interactivity, user-friendliness, and for comparing alternatives. While most applications of the AHP are focused on implementation at the individual or small-scale, the AHP was increasingly adopted in survey designs, which involve a large number of decision-makers and a great deal of heterogeneity in responses. 241-254.The Analytic Hierarchy Process (AHP), introduced by Saaty (1987), is a versatile multi-criteria decision-making tool that allows individuals to rationally weigh attributes and evaluate alternatives presented to them. (1997), "An AHP decision model for facility location selection", Facilities, Vol.
Addresses managerial implications for future research. Uses an example problem to illustrate the solution process. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgement in the solution process. The model requires that a number of potential sites have been proposed. The primary principle of the AHP model is to match decision‐makers’ preferences with location site characteristics. The AHP model provides a framework to assist managers in analysing various location factors, evaluating location site alternatives, and making final location selections. Presents an AHP (analytical hierarchy process) decision model for facility location selection from the view of organizations which contemplate locations of a new facility or a relocation of existing facilities.
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