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Visual management for decision analysis

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It is today well-known that Analytic Hierarchy Process (AHP) is an extremely useful method. Several reviews have compiled their success stories (Zahedi 1986; Golden, Wasil et al. 1989; Shim 1989; Vargas 1990; Saaty and Forman 1992; Forman and Gass 2001; Kumar and Vaidya 2006; Omkarprasad and Sushil 2006; Ho 2008; Liberatore and Nydick 2008; Sipahi and Timor 2010; Dung, Luan et al. 2016). In this paper, we argue that the usefulness of AHP can be even enhanced with visual management techniques. Visual techniques have been long used in AHP for evaluating the pairwise comparisons (Figure 1) and sensibility analysis (Figure 2). They have been integrated in the main software that support AHP and greatly facilitated the decision-making process (Ishizaka and Labib 2009). However, visual techniques cannot only facilitate the decision-making process but also be used as a descriptive tool that explains the whole problem (Nemery, Ishizaka et al. 2012). In the next section, we present GAIA that has been coupled with AHP for the first time in (Ishizaka, Siraj et al. 2016).
Original languageEnglish
JournalInternational Journal of the Analytic Hierarchy Process
DOIs
Publication statusPublished - 10 May 2017

Documents

  • ISHIZAKA_2017_cright_IJAHP_Visual management for decision analysis

    Rights statement: This is the author's version of an article published in International Journal of the Analytic Hierarchy Process which has been published in final form available online at: https://www.ijahp.org/index.php/IJAHP/issue/archive.

    Accepted author manuscript (Post-print), 512 KB, PDF document

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