An ISM approach for modelling the enablers of flexible manufacturing system: the case for India

Raj, Tilak; Shankar, Ravi; Suhaib, Mohd

doi:10.1080/00207540701429926

Cited by 241 publications

(155 citation statements)

References 32 publications

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“…ISM has been used by researchers for understanding direct and indirect relationships among various variables in different industries (Jadhav et al 2014b(Jadhav et al , 2015a. 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).…”

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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Section: Interpretive Structural Modelling (Ism)mentioning

confidence: 99%

Analysis of interactions among barriers in project risk management

et al. 2017

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“…An enabler is considered as a variable that enables (ability to) the attainment of the Sustainable Supply Chain. This definition is consistent with the use of the term enabler in ISM models [18], growth enablers in construction companies [18], information technology (IT) enablement in the Supply Chain [20], enablers of reverse logistics [21], supply chain performance measurement system implementation [22], modelling the barriers of global supply chain [23], supply chain sustainability -analysing the enablers [24].…”

Section: Identification Of Enablers For Collaboration Between Logmentioning

confidence: 79%

“…The main objective of the questionnaire-based survey was to facilitate experts in developing a relationship matrix as a first step towards developing an ISM-based model. In this survey the respondents were asked to indicate the importance of 17 listed enablers on a five-point Likert scale [18]. On this scale, 1 and 5 correspond to 'very low importance' to 'very high importance', respectively.…”

Section: Questionnaire-based Surveymentioning

confidence: 99%

Modeling enablers for sustainable logistics collaboration integrating - Canadian and Polish perspectives

Grzybowska

Awasthi

Hussain

2014

Annals of Computer Science and Information Systems

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Abstract-Collaboration planning is vital for achieving sustainable logistics. In this paper, we present an ISM based approach for modeling enablers for sustainable logistics collaboration integrating Canadian and Polish perspectives. Enablers can be defined as the key elements (or drivers) for achieving successful collaboration. A comprehensive literature review is conducted to identify 17 enablers for sustainable logistics collaboration. Based on these enablers, a questionnaire study is conducted with 20 logistics experts in Canada and Poland to identify their importance. Based on the aggregated expert ratings, an Interpretive Structural Model (ISM) is developed to identify the relationships among the various enablers. The results of our study show that not all enablers to sustainability collaboration between logistics partners require the same amount of attention. This classification will help Supply Chain managers to help them to focus on those variables that are most important for the transformation of collaboration between logistics partners.

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“…A large number of authors have targeted this problem and have tried to provide the better solutions. The major contributions are: Attaran, 1989;Badiru, 1990;Baldwin, et al, 2002;Baldwin, et al, 1995;Beatty, 1990;Boyer, 1994;Boyer, et al, 1996;Burcher, et al, 1999;Chen, et al, 1994;Chen, et al, 1996;Co, et al, 1998;Costa, et al, 2009;Dangayach, et al, 2005;Dangayach, et al, 2003;Dangayach, et al, 2004;David, et al, 1996;Dean, et al, 1990;Dimnik, et al, 1993;Efstathiades, et al, 1999;Frohlich, 1998;Fulton, et al, 2010;Ghani, et al, 2002;Kunnathar, 2000;Machuca, et al, 2004;McDermott, et al, 1999;Mital, 1999;Naik, et al, 1992;Percival, 2004;Rahman, 2008;Raj, et al, 2007;Raj, et al, 2008;Raj, et al, 2010;Ramamurthy, 1995;Roth, et al, 1991;Saberi, et al, 2010;Sambasivarao, et al, 1994;Sa´ nchez, 1996;Schroder, et al, 1999;Shani, et al, 1992;Singh, et al, 2007;Small, et al, 1997;…”

Section: Effectiveness Of Amsmentioning

confidence: 99%

“…Saxena et al (2006) applied it in conjunction with other modeling methodologies in the context of energy conservation policy. There are multiple other applications of ISM in many areas; some representative ones are: knowledge management (Singh et al, 2003), supply chain management (Agarwal et al, 2007), flexible manufacturing systems (Raj et al, 2008), decision support systems (Hansen et al, 1979), waste management (Sharma andSushil, 1995), vendor selection (Mandal andDeshmukh, 1994), knowledge management (Singh et al, 2003), product design (Lin et al, 2006), supply chain management (Agarwal et al, 2007), decision making (Lee, 2008), value chain management (Mohammed et al, 2008) and so on.…”

Section: Total Interpretive Structural Modeling (Tism)mentioning

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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An ISM approach for modelling the enablers of flexible manufacturing system: the case for India

Cited by 241 publications

References 32 publications

Analysis of interactions among barriers in project risk management

Analysis of interactions among barriers in project risk management

Modeling enablers for sustainable logistics collaboration integrating - Canadian and Polish perspectives

A comprehensive bibliography on effectiveness measurement of manufacturing systems

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