Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

Vinodh, S.; Wankhede, Vishal Ashok

doi:10.1108/ijqrm-09-2020-0322

Cited by 39 publications

(20 citation statements)

References 37 publications

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“…However, the CODAS technique gives results when crisp values are available. In order to present an MCDM technique, which enables to deal with uncertainties, this approach was extended in later studies (Keshavarz Ghorabaee et al, 2016a;Yalçın & Pehlivan, 2019;Vinodh & Wankhede, 2020;Roy et. al., 2019) with the help of the fuzzy set theory introduced by Zadeh (1965).…”

Section: The Fuzzy Codas Techniquementioning

confidence: 99%

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

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Subramanian²,

Küçükönder

2021

Decis. Mak. Appl. Manag. Eng.

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Petroleum product transportation considered as one of the crucial parts of dangerous material transportation is a risky logistics activity. The selection of the appropriate tanker vehicles may be a suitable solution to reduce the risks and increase the efficiency and performance of the fuel transportation companies. However, the selection of a suitable road tanker vehicle is not an easy task for decision-makers as there are many conflicting criteria and many decision alternatives. In addition, decision-makers may have to decide with insufficient information since collecting crisp values may not be possible at all times. Hence, many ambiguities affecting the evaluation results exist in an assessment process performed to select the best tanker vehicle option. This paper suggests a novel integrated fuzzy approach to solve these decision-making problems. Sensitivity analysis is conducted to test the validation of the proposed integrated fuzzy approach and its results was performed by forming 130 scenarios. The results of sensitivity analysis prove that the proposed model can be applied to solve these kinds of decision-making problems.

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Section: The Fuzzy Codas Techniquementioning

confidence: 99%

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Görçün

Subramanian²,

Küçükönder

2021

Decis. Mak. Appl. Manag. Eng.

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“…Flores et al (2020) addressed the changes in workforce competencies and presented a model for new type of interactions and new competencies that are required in Industry 4.0. Vinodh and Wankhede (2020) also worked on workforce attributes in Industry 4.0. They mentioned that, to deal with skill based technological changes and increase worker performance in Industry 4.0, it is essential to analyse attributes of the workforce.…”

Section: A State-of-the-art Literature Review: Workforce Aspect In In...mentioning

confidence: 99%

“…Digitalization through Industry 4.0 results in new standards of digitalized and decentralized production, where elements of production are highly autonomous and there are strong interactions between systems, workers and machines (Caiado et al , 2021). Industry 4.0 transition alters all the operations, processes and organizational structure, and requires the redesign of the supply chain (Bag et al , 2020a, b; Patrucco et al , 2020; Vinodh and Wankhede, 2020). Companies have to deal with dynamic environment of Industry 4.0, and find ways to make high quality decisions that considers operational, tactical and strategic perspectives for competitive advantage (Bag et al , 2020d).…”

Section: Introductionmentioning

confidence: 99%

Analysing workforce development challenges in the Industry 4.0

Özkan-Özen

Kazançoğlu

2021

IJM

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PurposeThe aim of this paper is to identify and analyse workforce development challenges in the digital age by first, presenting these challenges and relationship between them, and then proposing a structural model that categorizes these challenges and proposes suggestions for managers to improve human resources practices and firm performance.Design/methodology/approachFuzzy total interpretive structural modelling (TISM) is used as the methodology, which gives an interpretive structural model by presenting direct and transitive relationship between workforce development challenges and categorizes them under autonomous, dependent, independent and linkage groups.FindingsIn total, 13 different workforce development challenges are presented in this study. Results showed that lack of IT/digital skills has a critical role in workforce development in terms of affecting other challenges. Dependent group includes requirements for longer learning time and specialized training, lack of analytical thinking and dealing with complexity, and lack of interdisciplinary thinking and acting. On the other hand, lack of ability in decentralized decision-making and shortage of workforce with adequate skillset within the labour market have more macro-impacts on others. Most of the challenges located in the linkage group, which means that most of the challenges are interrelated with each other.Originality/valueOriginality of this paper is presenting a systematic structure for workforce development in Industry 4.0 that considers challenges systematically.

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“…Recent studies (Soares et al, 2017;Basheer et al, 2019;Vinodh and Wankhede, 2020) show the relationship between quality management principles and supply chain performance. Hong et al (2018) analyze the importance of supply chain and quality management practices on the firm's operational performance.…”

Section: Data-driven Quality Management In Supply Chainmentioning

confidence: 99%

A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

Agrawal

Wankhede

Luthra³

2021

TQM

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PurposeThis work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify associated literature gaps and to provide a future research direction in the field of DDQM in SCs.Design/methodology/approachA systematic literature review was done in the field of DDQM in SCs. SCOPUS database was chosen to collect articles in the selected field and then an SLR methodology has been followed to review the selected articles. The bibliometric and network analysis has also been conducted to analyze the contributions of various authors, countries and institutions in the field of DDQM in SCs. Network analysis was done by using VOS viewer package to analyze collaboration among researchers.FindingsThe findings of the study reveal that the adoption of data-driven technologies and quality management tools can help in strategic decision making. The usage of data-driven technologies such as artificial intelligence and machine learning can significantly enhance the performance of SC operations and network.Originality/valueThe paper discusses the importance of data-driven techniques enabling quality in SC management systems. The linkage between the data-driven techniques and quality management for improving the SC performance was also elaborated in the presented study.

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Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

Cited by 39 publications

References 37 publications

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Analysing workforce development challenges in the Industry 4.0

A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

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