Analysis of critical drivers affecting implementation of agent technology in a manufacturing system

Shukla, Om Ji; Joshi, Abhijeet; Soni, Gunjan; Kumar, Rajesh

doi:10.1007/s40092-018-0293-3

Cited by 4 publications

(7 citation statements)

References 44 publications

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“…The methodology involved in the ISM approach as shown in Figure 1 is divided into six steps (Shukla et al, 2018):…”

Section: Methodsmentioning

confidence: 99%

“…CSFs in the row are referred to as i while those in the column are referred to as j. The alphabets V, A, X, and O represent pairwise contextual relationships of drivers based on expert responses (Shukla et al, 2018). CPS is a mechanism that connects the virtual and physical worlds.…”

Section: Development Of Ssimmentioning

confidence: 99%

“…For the formation of RM as shown in Table 3, the linguistic symbols V, A, X, and O as mentioned in SSIM are replaced with the binary values of 0 and 1 according to the following rules (Shukla et al, 2018):…”

Section: Development Of Reachability Matrix (Rm)mentioning

confidence: 99%

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Investigation of the critical success factors in the implementation of the lean industry 4.0 in manufacturing supply chain: an ISM approach

Kashyap

Yadav

Vatsa

et al. 2022

MEQ

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PurposeThe purpose of this paper is to develop an interpretive structural modeling (ISM) model to investigate the critical success factors (CSF) and the extent of CSF's influence in the implementation of lean industry 4.0 in manufacturing supply chain.Design/methodology/approachThe study has been carried out with the help of the latest literature followed by brainstorming sessions with experts. The experts were the managers from the industries, assistant professors, and research scholars from academia working in this domain. Finally, a structured model is formed using ISM methodology for the analysis of the CSFs followed by matrice d'impacts croisés multiplication appliquée á un classment (MIAMAC) Analysis for the validation of the model.FindingsThe study identifies robotics, virtual and augmented reality and cloud computing as the main CSFs which are responsible to drive all the identified CSFs. However the CSF professional training and development (PTD) has been identified as the weakest driver but having the highest dependent power.Research limitations/implicationsThe study has included nine CSFs and the contextual relationships between the CSFs are based on the knowledge and experience of the experts, which may be biased. Moreover, the paper has covered the ISM approach, and the same thing can be validated using the fuzzy-ISM and other multi-criteria decision-making (MCDM) techniques.Originality/valueThis investigation of the CSFs in the lean industry 4.0 is original and the identified CSFs are the result of the literature reviews and an extensive discussion from the experts. The paper uses the complete experience of the respective experts to make this work more effective and original.

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“…The methodology involved in the ISM approach as shown in Figure 1 is divided into six steps (Shukla et al, 2018):…”

Section: Methodsmentioning

confidence: 99%

Section: Development Of Ssimmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of the critical success factors in the implementation of the lean industry 4.0 in manufacturing supply chain: an ISM approach

Kashyap

Yadav

Vatsa

et al. 2022

MEQ

Self Cite

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“…The relationship was established by an extensive discussion with a team comprised of experts from makhana industry, professors working in department of SC and research scholars working in this domain. To interpret the relationship among the CBs, four different symbols has been used as mentioned in Table 7 (Shukla et al. , 2019; Chauhan et al.…”

Section: Structured Modeling Of Critical Barriers (Cbs)mentioning

confidence: 99%

“…Linguistic scale for triangular fuzzy numbers (TFNs) industry, professors working in department of SC and research scholars working in this domain. To interpret the relationship among the CBs, four different symbols has been used as mentioned in Table 7(Shukla et al, 2019;Chauhan et al, 2017) and the formulated SSIM is listed in Table8.4.1.2 Development of reachability matrix (RM). The development of initial reachability matrix (IRM) as shown in Table…”

mentioning

confidence: 99%

Analysis of critical barriers in the sustainable supply chain of MSMEs: a case of Makhana (Foxnut) industry

Kashyap

Shukla

2022

BIJ

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PurposeSustainability is a very important factor to be considered in the supply chain (SC) of any industry. Agricultural industry needs to be addressed even more importantly with the tools of sustainability as it concerns the life of millions. This paper explores the critical barriers (CBs) in the sustainable supply chains (SSCs) of makhana industry located in the northern part of India and seeks to design a model for the researchers and the managers who want to work in this industry.Design/methodology/approachInitially, the CBs were identified with the help of an extensive literature review of sustainability in SCs for agri-industry and discussion with makhana industry experts (consisting of managers and senior managers) and academicians (consisting of professors and research scholars). The study uses the multi-criteria decision-making (MCDM) technique, namely interpretive structural modeling (ISM) and fuzzy ISM to develop the model. The study finally validates the model using Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis.FindingsThe obtained results indicate that, in the SSC of makhana industry, the role of “Lack of adoption of organic agricultural management techniques” (CB2), “Lack of modern techniques (CB4)”, “Multiple intermediaries” (CB5), “Weak socio-economic conditions” (CB7) and “Lack of proper knowledge” (CB1) are very significant. These barriers are needed to be addressed first as they have the highest driving power and other barriers are directly driven by these CBs.Research limitations/implicationsThe paper has included seven experts, and the interrelationship between CBs has been developed on the basis of their knowledge and discussion, so the results may be a little bias. Moreover, the paper has obtained the results using the ISM and fuzzy ISM by considering ten CBs; the researchers can explore this research by including more CBs and validate the results using other MCDM techniques like fuzzy-decision making trial and evaluation laboratory (DEMATEL), fuzzy-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Best Worst Method (BWM).Originality/valueThis study is unique as per industry point of view and may help the researchers and managers to explore the field of makhana.

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A DEMATEL model for identifying the impediments to the implementation of circularity in the aluminum industry

Kashyap

Kumar

kumar

et al. 2022

Decision Analytics Journal

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Analysis of critical drivers affecting implementation of agent technology in a manufacturing system

Cited by 4 publications

References 44 publications

Investigation of the critical success factors in the implementation of the lean industry 4.0 in manufacturing supply chain: an ISM approach

Investigation of the critical success factors in the implementation of the lean industry 4.0 in manufacturing supply chain: an ISM approach

Analysis of critical barriers in the sustainable supply chain of MSMEs: a case of Makhana (Foxnut) industry

A DEMATEL model for identifying the impediments to the implementation of circularity in the aluminum industry

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