A hybrid multiple attribute decision making method for solving problems of industrial environment

Singh, D.; Rao, R. Venkata

doi:10.5267/j.ijiec.2011.02.001

Cited by 26 publications

(23 citation statements)

References 22 publications

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“…To achieve total quality management (TQM) in India, Kulkarni 7 applies GTMA for the performance evaluation problem in the context. Singh and Rao 8 name the approach which involves the application of GTMA with AHP as 'the hybrid MADM method' (i.e. 'AHGTMA', or alternatively 'AHP-GTMA' here).…”

Section: Methods: a Literature Studymentioning

confidence: 99%

Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

Zhuang

Chiang

et al. 2017

Advances in Mechanical Engineering

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There are so many paper shredder products available in the market, and the decision to select a 'right shredder' usually involves a number of criteria. For organizations, complexity arises when the procurement function is to purchase a massive amount of shredders of the same type. This study initiated the idea to use the analytic hierarchy process with graph theory and matrix approach for solving the problem. The proposed model determines the best shredder from a pool of alternatives, given the buyer-side decision-maker's preference settings. With the expert questionnaire polled and the heterogeneous real data collected, the model is applied to a reduced data set. The size of the decision problem is defined as 8 alternatives are filtered among 26, while the 7 justification attributes considered are fully kept for not losing the experimental meaning. The result shows the effectiveness and applicability of the approach to manage the encountered decision scientifically. As this also implies that not only buyers but also the manufacturers can use this model to analyse 'something', it is confident to conduct more future studies. The R script which implements the dynamic programming concept to calculate the assessed index scores for graph theory and matrix approach is perhaps another contribution of this study.

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Section: Methods: a Literature Studymentioning

confidence: 99%

Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

Zhuang

Chiang

et al. 2017

Advances in Mechanical Engineering

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show abstract

“…Using linear normalization for this method, the decision matrix will transform into the following (Rao, 2007;Singh & Rao, 2011).…”

Section: Proposed Method: Polygons Area Method(pam)mentioning

confidence: 99%

“…The actual data was provided by the manufactures (Rao, 2007(Rao, , 2013. Karasak and Ahiska (2005), Rao (2007Rao ( , 2013, Wang and Chin (2009), Singh and Rao (2011), and Mondala and Chakraborty (2013 solved this example using MCDM methods. The decision matrix with twelve alternative robots and five attributes is given in Table 2.…”

Section: Robot Selection For Supporting Nc Machinesmentioning

confidence: 99%

Selection of industrial robots using the Polygons area method

Azimi¹,

Taghizadeh²,

Farahmand³

et al. 2014

10.5267/j.ijiec

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Selection of robots from the several proposed alternatives is a very important and tedious task. Decision makers are not limited to one method and several methods have been proposed for solving this problem. This study presents Polygons Area Method (PAM) as a multi attribute decision making method for robot selection problem. In this method, the maximum polygons area obtained from the attributes of an alternative robot on the radar chart is introduced as a decisionmaking criterion. The results of this method are compared with other typical multiple attribute decision-making methods (SAW, WPM, TOPSIS, and VIKOR) by giving two examples. To find similarity in ranking given by different methods, Spearman's rank correlation coefficients are obtained for different pairs of MADM methods. It was observed that the introduced method is in good agreement with other well-known MADM methods in the robot selection problem.

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“…(Singh & Rao, 2011;Tulsian & Saini, 2014). Hansen et al (2009) also highlighted that innovation is one of the most important variables that has an effect on SCP.…”

Section: Tablementioning

confidence: 99%

Modeling cold supply chain environment of organized farm products retailing in India

Shashi¹,

Singh²

2015

10.5267/j.uscm

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A hybrid multiple attribute decision making method for solving problems of industrial environment

Cited by 26 publications

References 22 publications

Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

Modelling the decision of paper shredder selection using analytic hierarchy process and graph theory and matrix approach

Selection of industrial robots using the Polygons area method

Modeling cold supply chain environment of organized farm products retailing in India

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