Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis

Sindhwani, Rahul; Malhotra, Vasdev

doi:10.1007/s13198-016-0426-2

Cited by 54 publications

(28 citation statements)

References 27 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).…”

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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“…In the literature, the said approach has been used by authors to model variables in various fields of studies, i.e. such as competitiveness of Indian manufacturing sector (Dewangan et al , 2015); agile manufacturing system (Sindhwani and Malhotra, 2017); SC (Sujan et al , 2020); healthcare service (Kumar et al , 2019); software process improvement in software SMEs (Sharma and Sangal, 2019).…”

Section: Methodsmentioning

confidence: 99%

ISM and fuzzy logic approach to model and analyze the variables in downstream supply chain for perfect order fulfillment

Sharma

2021

IJQRM

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PurposeAs we move up in the supply chain (SC) from retailer to supplier, amplification in the fluctuation of order increased. To minimize this amplification, understanding of key decision variables which affects the SC is essential. So, in the present work the authors developed a novel approach to examine the structural dependencies among variables responsible for perfect order fulfillment (POF).Design/methodology/approachInterpretive structural modeling approach has been used to model the structural relationship among the key SC variables. Further, to study the driver-dependence dynamics among variables MICMAC analysis has been used. In the second phase, the influence of driver variables on the POF is investigated by using fuzzy logic.FindingsFrom the results, it is observed that the variables’ delivery time, number of echelons, data accuracy and information sharing have high driving power which may help the organizations to meet challenges offered by POF. The results showed that for POF is said to be at optimum level when the number of echelons should be low and data accuracy should be high, and information sharing among all partners should also be very high.Research limitations/implicationsResearch on SC is classified into three categories, i.e. operational, design and strategic. In the present study authors discussed strategic variables responsible for POF which is the main limitation of the study. The work can be extended by including operational and design variables.Practical implicationsPOF in SC network is affected by various variables. The in-depth understanding of contextual association among the variables helps the managers to improve the efficiency of the SC and reduce the bullwhip effect across the downstream SC network.Originality/valueThe study presents a hybrid approach to analyze the key POF dimensions, i.e. forecasting, number of echelons, information sharing, cycle time and delivery time, critical to POF in downstream SC network by developing various case settings.

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“…A survey questionnaire was designed to attain the research objectives. The variables included in the questionnaire were adopted from the elaborated literature review (Ren et al , 2003; Dowlatshahi and Cao, 2006; Vazquez-Bustelo et al , 2007; Hallgren and olhager, 2009; Hasan et al , 2009; Eshlaghy et al , 2010; AL-Tahat and Bataineh, 2012; Saleeshya and Babu, 2012; Mishra et al , 2013; Aravindraj and Vinodh, 2014; Dubey and Gunasekaran, 2015; Routroy et al , 2015; Samantra et al , 2015; Leite and Braz, 2016; Kumar et al , 2017; Sindhwani and Malhotra, 2017; Potdar and Routroy, 2017; Nabass and Abdallah, 2018) and validated through discussion held with practitioners, academicians and the industry. The suggestions given by them have been incorporated into the questionnaire to make it more useful and relevant to research objectives.…”

Section: Methodsmentioning

confidence: 99%

“…Agile manufacturing systems are capable of producing high-quality and low-unit cost products in compressed time, even in smaller quantities (Garbie et al , 2008). It favors modular design approach (Gunasekaran, 1999; Dowlatshahi and Cao, 2006; Sindhwani and Malhotra, 2017). Agile manufacturing has received increasing attention from both academicians and industry professionals, and developed gradually from a niche topic into a broad cross-disciplinary research area.…”

Section: Literature Reviewmentioning

confidence: 99%

An empirical exploration of Agile manufacturing for enhanced business performance in Indian manufacturing industry

Kumar

Singh

Jain³

2020

WJSTSD

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Purpose The purpose of this paper is to investigate the effects of agile manufacturing practices on business performance of Indian medium and large-scale manufacturing industry. Design/methodology/approach A survey questionnaire was designed to attain the research objectives. Agile manufacturing questionnaire was sent to around 500 randomly selected manufacturing organizations in the northern spectrum of India through e-mails and posts, out of which 154 usable responses have been received. This study investigates the inter-relationships between various agile manufacturing implementation practices and business performance measures using various statistical techniques. This paper deploys Games–Howell hoc test to establish the statistical significance of business performance improvements, progressively accrued over a reasonable period of time, through holistic agile manufacturing implementation. Findings The paper validates the contribution of agile manufacturing toward realization of the significant improvements in various business performance measures such as customer-related achievements, financial achievements, business-related achievements, operational achievements, employee-related achievements, and supplier-related achievements. Further, the discriminant validity test has been used in this paper for classifying highly successful and moderately successful organizations. Research limitations/implications The paper only concentrated on manufacturing organizations in northern India. The results of this paper cannot generalize across all the sectors and spectrum of Indian manufacturing organizations. Originality/value This paper develops an insight into the strong potential of agile manufacturing implementation practices in affecting business performance measures.

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Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis

Cited by 54 publications

References 27 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

ISM and fuzzy logic approach to model and analyze the variables in downstream supply chain for perfect order fulfillment

An empirical exploration of Agile manufacturing for enhanced business performance in Indian manufacturing industry

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