Vendor Selection Using Interpretive Structural Modelling (ISM)

Mandal, Anukul; Deshmukh, S.G.

doi:10.1108/01443579410062086

Cited by 865 publications

(528 citation statements)

References 3 publications

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“…All variables have been classified, based on their driving power and dependence power (Table 5c), into four categories as: (1) autonomous measures; (2) dependent measures; (3) linkage measures; and (4) independent measures. This classification is similar to Mandal and Deshmukh (1994) classification. The driving and dependence power diagram for the suggested performance measures is shown in Fig.…”

Section: Formation Of Ism-based Frameworkmentioning

confidence: 97%

“…It provides a means by which order can be imposed on the complexity of such variables Mandal and Deshmukh 1994;Jharkharia and Shankar 2004). This section deals with the discussion of ISM methodology.…”

Section: Methodsmentioning

confidence: 99%

“…The proposed lean, green and resilient practices and supply chain performance measures were derived from the literature review in the area of supply chain management and performance measurement systems in the automotive industry. To guaranty construct validity, each paradigm is Jedlicka and Mayer (1980) Exploring factors involved in a cross-cultural context 1992 Saxena et al (1992) Determining the hierarchy and class of elements in cement industry 1993 Mandal andDeshmukh (1994) Vendor selection in supply chain 1999 Kanungo et al (1999) To develop an information system effectiveness framework defined using two practices that contribute only to each paradigm and that are not related to the others ones. And the supply chain performance construct was defined using autonomous performance measures.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

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.

255

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: Formation Of Ism-based Frameworkmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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.

255

174

View full text Add to dashboard Cite

show abstract

“…The aim of MICMAC analysis is to examine the driving power and dependence of variables, and is based on multiplication properties of matrices [46]. The driving power and dependence is the summation of binary digit "1s" in their respective row and column for each variable, respectively, that is imported from Table 8.…”

Section: Resultsmentioning

confidence: 99%

Analysis of Relationships among Organizational Barriers to Energy Efficiency Improvement: A Case Study in Indonesia’s Steel Industry

Soepardi

Thollander

2018

Sustainability

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Abstract:The aim of this paper is to analyze and rank the managerial-organizational barriers to energy efficiency improvement from an industry perspective. To that end, this study utilizes the Interpretive Structural Modeling (ISM) methodology to identify the contextual relationships among the barriers. In a focus group discussion forum, five practitioners from the steel industry were consulted to identify these mutual linkages. The results indicated that five of the eight barriers proposed are in the linkage category. These barriers include that the energy manager or people in charge of energy management lack influence, there are higher priorities to production activity, there is management resistance to change, there is inadequate management capacity, and there are conflicts of interest within the organization. The management should focus more attention on these barriers, because they have both high driving power and dependency. The findings are intended to help managers from manufacturing sectors identify key barriers and thus develop strategic plans to address these issues.

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“…Some studied are the study of crumb rubber repaired agro industry (Utomo et al, 2008), the decision making study of forest ecosystem management (Liu et al, 2009), the study of vendor selection (Mandal & Deshmukh, 1994), group decision making (Balanos et al, 2005), and study of food standard accomplishment condition (Sagheer et al, 2009).…”

Section: Port Submodelmentioning

confidence: 99%

Development of Tuna Fisheries Management Strategies for the Southern Coast of Java: An Application of Interpretative Structural Modeling

Nurani

Haluan

Lubis

et al. 2017

Indonesian Fisheries Research Journal

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Territorial waters of South Java is part of fisheries management zone of Indian Ocean Fisheries, has a potential tuna fish resources. The purpose of this research was to formulate strategy for the efficacy of model implementation of tuna fisheries development in South Coast of Java. Interpretative structural modeling technique was used the study. The method was considered a technique of strategic planning of which describes comprehensively condition of the system. Result showed that there were seven element of system require for succeeding implementation of model. The seven element of system and their key element are affected society sector, tuna entrepreneur, required factor, the availability of tuna resources and the availability of data and information, the main constraint of program development, high gasoline price, limited of financial capital and low priority of development fund, the main purpose of program: exploiting optimization of tuna resources; the indicator of the efficacy program: increasing the earn of tuna fishery and improvement of labor absorption; the activity needed to execute the program: making plan work activity; and institution in concerned for the efficacy program: Ministry of Marine Affairs and Fisheries.

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Vendor Selection Using Interpretive Structural Modelling (ISM)

Cited by 865 publications

References 3 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 Relationships among Organizational Barriers to Energy Efficiency Improvement: A Case Study in Indonesia’s Steel Industry

Development of Tuna Fisheries Management Strategies for the Southern Coast of Java: An Application of Interpretative Structural Modeling

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