Computer aided robot selection: the ‘multiple attribute decision making’ approach

Agrawal, V. P.; Kohli, Vikram; Gupta, Shyam

doi:10.1080/00207549108948036

Cited by 156 publications

(48 citation statements)

References 2 publications

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“…These sub-criteria which support and influence the determinant level criteria, as identified by Aggarwal et al [13], are as follows: i. Configuration of robot; ii. Electrical controls; iii.…”

Section: Attributes Identification-cluster/norm Levelmentioning

confidence: 97%

Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

Kanth¹,

Srinath²,

Kumar³

2018

IJET

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Analytical Network process (ANP), is applied here as a decision making technique for the selection of appropriate robots for industrial and automation applications. The core motivation of applying, in particular, the ANP technique is that robot selection is dependent upon a number of attributes and criteria which have strong influences/interdependencies upon each other. The ANP, as a multiple attribute decision making (MADM) technique for robot selection, captures the effects of these cross hierarchical dependencies, and appropriately maps the influences within the clusters and between the various alternatives. Simultaneously, the technique does not include the assumption of independence of higher-level elements from lower level elements and about the independence of the elements within a level. First, a set of attributes, which influence the selection of the robots, are identified. Next, using the various steps of ANP, viz., pair wise comparisons matrices and priority vectors determination and the development of the super-matrix the global weights of the attributes with respect to other attributes are determined. The final alternatives are then rated as per the graduated weights of the respective attributes. Thus, a comprehensive solution towards selection of robots enabling the decision-makers to suitably understand the complex relationships of the relevant qualitative and quantitative attributes in the decision-making is obtained. The technique is also illustrated using detailed analysis for a specific case of decision making between three robot suppliers and selection of appropriate robot from alternatives. In order to get more insight into relationships among various attributes and their effect on decision makers, the sensitivity analysis of the results with respect to determinant level attributes is carried out.

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Section: Attributes Identification-cluster/norm Levelmentioning

confidence: 97%

Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

Kanth¹,

Srinath²,

Kumar³

2018

IJET

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“…HTA analyses uses different methods, depending on the purpose of the assessment; some of them used economic approach: cost-analyses (Drummond et al, 1987), some a managerial approach SWOT (Strengths, Weaknesses, Opportunities and Threats) analyses, logical framework (Armstrong, 1982;Kahveci et al, 2006) and some other a more pluralistic approach: Multiple Attribute Decision Making (MADM) analyses, hierarchical clustering (Agrawal et al, 1991). Each of these methods have their own particular or partial judgment aspects.…”

Section: Origins Of Health Technology Assessmentmentioning

confidence: 99%

Health Technology Assessment: An Essential Approach to Guide Clinical Governance Choices on Risk Management

Improta¹,

Fratini²,

Triassi³

2012

Risk Management for the Future - Theory and Cases

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“…Grover, Khan (2004, 2006) applied it for TQM evaluation of an industry and to find the role of human factors in TQM. There are multiple other applications of GTA in many areas; some representative ones are: robot selection (Agrawal et al, 1991), failure cause analysis (Gandhi & Agrawal, 1996), development of maintainability index for mechanical systems (Wani & Gandhi , 1999), machinability evaluation of work materials (Rao & Gandhi, 2002), capability envelop of a machining process (Huang & Yip-Hoi, 2003), performance evaluation of TQM in Indian industries (Kulkarni, 2005), selection, identification and comparison of industrial robots (Rao & Padmanabhan, 2006), to optimize single-product flow-line configurations of RMS (Dou et al, 2009) and so on.…”

Section: Graph Theoretic and Matrix Approach (Gtma)mentioning

confidence: 99%

“…The development and use of appropriate assessment approaches are crucial to ensuring that the analysis of each AMT project considers all benefits and costs (Small & Chen, Investment Justification of Advanced manufacturing Technology: An Empirical Analysis, 1995). The representing work of researchers in the field of AMS selection is as: Agrawal, et al, 1991;Bhangle, et al, 2004;Bozdag˘, et al, 2003;Braglia, et al, 2010;Chu, et al, 2003;Chuu, 2009;Karsak, et al, 2002;Kumar, et al, 2010;Luong, 1998;Rao, et al, 2006;Sambasivarao, et al, 1995;Sarkis, 1997;Yurdakul, 2004.…”

Section: Effectiveness Of Amsmentioning

confidence: 99%

A comprehensive bibliography on effectiveness measurement of manufacturing systems

Goyal¹,

Grover²

2012

ijiec

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Globalization has put fierce competition for manufacturing managers in terms of flexibility, smaller lead times, competitive costs, etc. To attain these capabilities, manufacturing managers are taking heedless decisions for investing in advanced manufacturing technologies, without measuring their actual effectiveness for their organisations. There is a need to measure the effectiveness of manufacturing systems to make better future policies and investment planning. This paper provides a comprehensive bibliography on the techniques and their rationale in the effectiveness measurement of advanced manufacturing systems. The paper cites 265 articles from a variety of published sources. The list contains published research mainly from 1990 to 2012 and a selected published work prior to 1990.

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Computer aided robot selection: the ‘multiple attribute decision making’ approach

Cited by 156 publications

References 2 publications

Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

Health Technology Assessment: An Essential Approach to Guide Clinical Governance Choices on Risk Management

A comprehensive bibliography on effectiveness measurement of manufacturing systems

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