Analyzing the factors affecting the flexibility in FMS using weighted interpretive structural modeling (WISM) approach

Gothwal, Suman; Raj, Tilak

doi:10.1007/s13198-016-0443-1

Cited by 17 publications

(11 citation statements)

References 47 publications

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“…It represents complex system in a visual hierarchical structure (Chang et al 2013;Borade and Bansod 2012) and transforms unclear, poorly articulated mental models of a system into visible, well defined hierarchical models (Alawamleh and Popplewell 2011;Jain and Raj 2015;Sindhwani and Malhotra 2016). ISM is primarily as a group learning process as interrelations among variables under study are decided based on group judgement (Gothwal and Raj 2015), but individuals may also apply it (Ravi and Shankar 2005;Faisal et al 2007). ISM has been applied to establish relationship among barriers in different fields (Table 2).…”

Section: More Reliance On Imported Devices Leading To Increased Importsmentioning

confidence: 99%

Analysis of barriers to medical device development in India: an interpretive structural modelling approach

Rane

Kirkire

2016

Int J Syst Assur Eng Manag

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Efficacious product development is a critical issue faced by medical device manufacturing industries. Indian medical device industry is in nascent stage constituting of 75 % imports indicating diminutive device development activities unlike other sectors of manufacturing which are vigorously making forays through indigenous product development. The objective of this paper is to identify barriers to medical device development (MDD) and develop a structural model of it. 11 most significant barriers are identified using opinions of MDD experts and the literature review. They are further ranked by 33 experts through questionnaire survey. The mutual relationships among the barriers are established based on opinions of one group of experts using interpretive structural modelling (ISM) approach. The barriers are quantified using reachability matrix and further categorised as: autonomous, dependent, linkage and driver barriers using MICMAC analysis based on the mutual influence and dependence. The model is further validated by another group of MDD experts. Combination of ISM and MIC-MAC analysis gives a high level contextual relationship among the barriers identified. The barriers have compounding effect. Dependent barriers have higher dependence and present resulting actions. The driver barriers have high driving power and low dependence indicating need for systematic plan of action. Identification of barriers to MDD and developing the contextual relationships among them is a unique effort. It will provide an aid to the top management, developers and policy makers to develop strategies for MDD. Moreover, it will assist to accelerate indigenous contribution towards MDD which will ultimately deepen the penetration of low cost and better quality medical care for larger part of the population. This paper develops a model of barriers to MDD in India; which can be customised for other sectors and contexts.

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Section: More Reliance On Imported Devices Leading To Increased Importsmentioning

confidence: 99%

Analysis of barriers to medical device development in India: an interpretive structural modelling approach

Rane

Kirkire

2016

Int J Syst Assur Eng Manag

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“…A range of methodologies available for identification of determinants, for example; literature review (Avinash et al 2018 ; Dhochak and Sharma 2016 ; Gothwal and Raj 2017 ; Li et al 2019a , b ; Thamsatitdej et al 2017 ; Valmohammadi and Dashti 2016 ), expert opinion: (Cai and Xia 2018; Majumdar and Sinha 2019 ; Talib et al 2011 ; Hussain et al 2022 ; Ke et al 2022 ; Begum et al 2022 ; Thamsatitdej et al 2017 ; Vinodh et al 2016 ), case study: (Valmohammadi and Dashti 2016 ), Delphi method: (Zhang and Wei 2010 ), exploratory determinants analysis: (Usman et al 2021 ; Li and Yang 2014 ), presumed by authors (Lohaus and Habermann 2019 ), and idea engineering workshop and brainstorming session (Kumar et al 2013 ) are considered. The review of literature coupled with expert opinion is found to be the most appropriate method of determinants’ identification for the purpose of this study.…”

Section: Methodsmentioning

confidence: 99%

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

Farooq

Rao

Shoaib

2022

Environ Sci Pollut Res

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China Pakistan Economic Corridor (CPEC) is a game changer initiative of South Asian Pacific Rim. It has great importance for almost all Asian countries. Its success is expected to dictate the economic development of the stakeholders. The aim of this study is to evaluate the essential determinants deriving the sustainability of CPEC projects. The design of the study comprises of the review of literature, data collection, and analysis. Population under study is the folk of stakeholders of CPEC. Sampling envisages on purposive sampling design, i.e., 14 experts from within the stakeholders. Primary data is collected in the field setting through a survey questionnaire appropriate for the study. ISM is used for modelling and MICMAC for analysis and classification using inductive approach. The findings of the literature survey show that there are 23 prime determinants of sustainability of CPEC projects. The results of ISM show that 13 determinants are at Level-I , nine at Level-II , and one determinant namely “economic globalization” is at Level-III being the most critical and driving determinant. The findings of MICMAC show that only one determinant is classified in independent quadrant, and all the remaining determinants are in linkage quadrant, whereas, no determinant is shown in autonomous and/or dependence quadrant. But most of the determinants have potential to be classified in dependent and independent quadrants. It is intimately evident that the results of MICMAC corroborate the results of ISM. It is useful for folk of the stakeholders by way of developing an understanding about the multitude of determinants, intra-determinant relations, prioritizing the determinants for policy decisions, and/or for building future studies. This study has some limitations, e.g., the study uses qualitative approach and answers what and how questions that do not quantify the relations or tell the cause of indicated relations. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-22813-3.

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“…A statistical approach, such as structural equation modeling (SEM), could be linked to the ISM to reduce bias. In this case, a weighted ISM model could be applied to rank the factors under consideration on the basis of a Likert scale (Gothwal & Raj, 2017). The ISM model could also be extended using the total interpretive structural modeling approach (Shibin, Gunasekaran, & Dubey, 2017;Shibin et al, 2016) as it captures the nodes and links of the ISM.…”

Section: Conclusion Limitations and Future Research Agendamentioning

confidence: 99%

A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry

Chowdhury

Ali

Mahtab

et al. 2019

Journal of Retailing and Consumer Services

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Analyzing the factors affecting the flexibility in FMS using weighted interpretive structural modeling (WISM) approach

Cited by 17 publications

References 47 publications

Analysis of barriers to medical device development in India: an interpretive structural modelling approach

Analysis of barriers to medical device development in India: an interpretive structural modelling approach

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

A structural model for investigating the driving and dependence power of supply chain risks in the readymade garment industry

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