Analysis and selection of green suppliers using interpretative structural modelling and analytic hierarchy process

Kannan, Devika; Haq, A. Noorul; Sasikumar, P.; Arunachalam, S.

doi:10.1504/ijmdm.2008.017198

Cited by 142 publications

(82 citation statements)

References 26 publications

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“…Bolaños et al (2005) Fig. 2 Flow chart for the ISM approach (modified from Kannan et al 2008) methodologies are required to compute distances between pairs of structures, or agreements on the distance and characteristics of relations, leading to the identification of clusters of respondents with substantial shared knowledge with the analysis becoming much more complex. The panel members' profiles are described in Table 4.…”

Section: Methodsmentioning

confidence: 99%

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Govindan

Azevedo

Carvalho

et al. 2013

Int. J. Environ. Sci. Technol.

250

174

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Nowadays, companies are struggling to find an appropriate supply chain strategy to achieve competitiveness. Among the available strategies lean, green and resilient are considered as a new management strategies for the supply chain management to achieve competitiveness. The major issues with theses strategies are the integration and identification of critical issues related to the strategies. This paper aims to identify the critical lean, green and resilient practices on which top management should focus in order to improve the performance of automotive supply chains. The systematic analysis of the lean, green and resilient practices is expected to be of great value for their effective implementation by the automotive companies. The interpretive structural modeling approach is used as a useful methodology to identify inter-relationships among lean, green and resilient practices and supply chain performance and to classify them according to their driving or dependence power. According to this research, the practices with the main driving power are just-in-time (lean practice), flexible transportation (resilient practice) and environmentally friendly packaging (green practice). Customer satisfaction is the performance measure with strong dependence and weak driving power; that is, it is strongly influenced by the other researched variables but does not affect them.

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Section: Methodsmentioning

confidence: 99%

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Govindan

Azevedo

Carvalho

et al. 2013

Int. J. Environ. Sci. Technol.

250

174

View full text Add to dashboard Cite

show abstract

“…ISM is a tool which permits identification of structure within a system (Jadhav et al 2014a;Kumar et al 2013a, b;Raj et al 2010;Rajesh et al 2007;Solanki and Choudhary 2014). ISM is used for identifying and summarizing the relationship amongst the variables related to an issue or problem by developing a well-defined model (Alawamleh and Popplewell 2011;Attri et al 2013;Charan et al 2008;Eswarlal et al 2011;Faisal 2010;George and Pramod 2014;Kannan et al 2008;Ravi and Shankar 2005). Thakkar et al (2008) compared three contemporary modelling techniques: analytic hierarchy process (AHP), analytic network process (ANP), and interpretive structural modelling (ISM) and found that ISM has a higher capability to capture dynamic complexity.…”

Section: Interpretive Structural Modelling (Ism)mentioning

confidence: 99%

Analysis of interactions among barriers in project risk management

et al. 2017

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In the context of the scope, time, cost, and quality constraints, failure is not uncommon in project management. While small projects have 70% chances of success, large projects virtually have no chance of meeting the quadruple constraints. While there is no dearth of research on project risk management, the manifestation of barriers to project risk management is a less dwelt topic. The success of project management is oftentimes based on the understanding of barriers to effective risk management, application of appropriate risk management methodology, proactive leadership to avoid barriers, workers' attitude, adequate resources, organizational culture, and involvement of top management. This paper represents various risk categories and barriers to risk management in domestic and international projects through literature survey and feedback from project professionals. After analysing the various modelling methods used in project risk management literature, interpretive structural modelling (ISM) and MICMAC analysis have been used to analyse interactions among the barriers and prioritize them. The analysis indicates that lack of top management support, lack of formal training, and lack of addressing cultural differences are the high priority barriers, among many others.

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“…This study analyzed the interaction of criteria that was used to select the green suppliers based upon the environmental performance using ISM and Analytic Hierarchy Process (Kannan, Noorul Haq, Sasikumar, & Arrununchchalam, 2008). ISM based model for greening the supply chain in Indian manufacturing industries was explained.…”

Section: Green Supply Chain Management (Gscm): Literature Reviewmentioning

confidence: 99%

Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective

Luthra¹,

Kumar

Kumar³

et al. 2011

JIEM

313

278

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Analysis and selection of green suppliers using interpretative structural modelling and analytic hierarchy process

Cited by 142 publications

References 26 publications

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach

Analysis of interactions among barriers in project risk management

Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective

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