Implementing the balanced scorecard using the analytic hierarchy process & the analytic network process

2006 ◽  
Vol 57 (6) ◽  
pp. 682-691 ◽  
Author(s):  
L C Leung ◽  
K C Lam ◽  
D Cao
2018 ◽  
Vol 42 (2) ◽  
pp. 193-217 ◽  
Author(s):  
Aleksander Janeš ◽  
Nina Begičević Ređep

The development and empirical verification of the balanced scorecard (BSC) model, using the multi-criteria decision-making methods (MCDM) called the analytic hierarchy process (AHP) and the analytic network process (ANP), are the key issues of the presented research. The paper presents the methodology of the prioritization of the BSC goals with the AHP and ANP methods. Even though the prioritization of the goals is possible with both, findings from the empirical analysis showed that the ANP is more complementary with the BSC because of the influences among the goals in the BSC. The ANP supports the modelling of those influences (through dependencies) and the AHP does not. The paper discusses special situations in prioritizing the BSC goals (understanding the ANP from the perspective of the user and the BSC with strategic goals that do not directly influence any other strategic goal) and proposes solutions. Therefore, it can be asserted that introducing the ANP to implement the BSC and vice versa, improved the decision-making approach and the quality of the obtained results. The research was based on a case study of modelling the BSC for Ydria Motors LL (YM), a manufacturing company.


2016 ◽  
Vol 3 (2) ◽  
pp. 205
Author(s):  
Oni Soesanto ◽  
Muhammad Mahfuzh Shiddiq ◽  
Oktarini Oktarini

<p align="center"><strong>ABSTRAK</strong></p><p>Himpunan <em>fuzzy</em> merupakan perkembangan dari himpunan klasik. Himpunan <em>fuzzy</em> digunakan sebagai dasar dalam logika <em>fuzzy</em>. Logika <em>fuzzy</em> banyak diterapkan pada penelitian teknik pengambilan keputusan. Teknik pengambilan keputusan yang menerapkan logika <em>fuzzy</em> juga dapat digunakan dalam <em>Balanced ScoreCard</em> (BSC). Salah satu metode teknik pengambilan keputusan adalah <em>Fuzzy Analytic Hierarchy Process </em>(FAHP). FAHP telah diterapkan dalam BSC, namun tidak mencerminkan kondisi BSC sehingga diperlukan metode lain yang  memperhatikan keterkaitan antar aspek,  yaitu <em>Fuzzy Analytic Network Process </em>(FANP). FANP mampu memperbaiki kelemahan FAHP berupa kemampuan mengakomodasi keterkaitan antar kriteria atau alternatif. Paper ini membahas konsep pendekatan <em>Fuzzy</em> pada metode ANP menggunakan <em>extent analysis method</em><em> </em>untuk mengukur kinerja perusahaan berdasarkan indikator dalam perspektif BSC.</p><p><strong>Kata Kunci</strong>: <em>Balanced Scorecard</em> (BSC), Metode <em>extent analysis, Fuzzy Analytic Network Process</em> (FANP), <em>Triangular Fuzzy Number </em>(TFN)</p>


2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.


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