Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses

PurposeThe aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).Design/methodology/approachTechnological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.FindingsThe key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.Research limitations/implicationsIn the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.Practical implicationsThe study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.Originality/valueThe analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

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A Case Study Comparison of the Analytic Hierarchy Process and a Fuzzy Decision Methodology

The Engineering Economist ◽

10.1080/00137919508903151 ◽

1995 ◽

Vol 40 (3) ◽

pp. 233-246 ◽

Cited By ~ 28

Author(s):

Fatemah Ghotb ◽

lewis Warren

Keyword(s):

Analytic Hierarchy Process ◽

Fuzzy Decision ◽

Analytic Hierarchy ◽

The Analytic Hierarchy Process ◽

Hierarchy Process

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Multi-criteria fuzzy decision support for conceptual evaluation in design of mechatronic systems: a quadrotor design case study

Research in Engineering Design ◽

10.1007/s00163-018-0287-6 ◽

2018 ◽

Vol 29 (3) ◽

pp. 329-349 ◽

Cited By ~ 9

Author(s):

Abolfazl Mohebbi ◽

Sofiane Achiche ◽

Luc Baron

Keyword(s):

Decision Support ◽

Fuzzy Decision ◽

Mechatronic Systems ◽

Design Case ◽

Design Case Study

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Using Multicriteria Futuristic Fuzzy Decision Hierarchy in SWOT Analysis

International Journal of Operations Research and Information Systems ◽

10.4018/ijoris.2015100103 ◽

2015 ◽

Vol 6 (4) ◽

pp. 38-56 ◽

Cited By ~ 7

Author(s):

Sunil Pratap Singh ◽

Manoj Kumar Chauhan ◽

Preetvanti Singh

Keyword(s):

Swot Analysis ◽

External Environment ◽

Tourism Industry ◽

Decision Making Process ◽

Internal Environment ◽

Fuzzy Decision ◽

Analytic Hierarchy ◽

Hierarchy Process ◽

Significant Factors

In this paper, a quantitative multicriteria futuristic fuzzy decision hierarchy (MFFDH)-based SWOT (strengths, weaknesses, opportunities and threats) analysis has been carried out to determine priorities among significant factors related to tourism's internal and external environment. In MFFDH model, the fuzzy logic is combined with analytic hierarchy process (AHP) to overcome the uncertainty in decision making process. The utilization of MFFDH with SWOT yields analytically determined priorities for the factors included in SWOT analysis and makes them more commensurable. The hybrid method has been applied in connection with a case study on tourism industry in Agra (India) and result indicates that the factors related to tourism's internal environment (strengths and weaknesses) are relatively more important than external factors (opportunities and threats). In addition, strengths group turned out to have the highest priorities while threats group have the lowest priorities.

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