An intuitionistic fuzzy approach to assessing the barriers to quality 4.0 adoption in the footwear manufacturing industry: Implications for sustainability in emerging economy

Q1 Economics, Econometrics and Finance
Maishat Lubaba , Md Imran Hosen , Md Shihab Shakur , Muhommad Azizur Rahman , A.B.M. Mainul Bari
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Abstract

The footwear manufacturing industry substantially aids global fashion trends and economic growth. Still, it faces challenges such as excessive raw material waste, increased rework, and inadequate quality control, which hinder sustainability and competitiveness. Integrating Industry 4.0 technologies with quality management, known as Quality 4.0 (Q4.0), offers transformative potential through real-time monitoring, predictive analytics, and sustainable practices. However, adopting Q4.0 technologies is impeded by various barriers that require a thorough understanding to devise effective mitigation strategies. For that purpose, this study investigates the key barriers to Q4.0 adoption in the footwear manufacturing sector, focusing on emerging economies like Bangladesh. Using an integrated multi-criteria decision-making (MCDM) approach that combines interval-valued type 2 intuitionistic fuzzy (IVT2IF) theory and the decision-making trial and evaluation laboratory (DEMATEL) method, 16 barriers were identified, validated by experts, and analyzed for interdependencies. The results highlight “uncertainty about Return on Investment (ROI) and insufficient capital investment,” “lack of adaptive technological infrastructure,” and “difficulty in managing Industry 4.0 technologies” as the most prominent barriers, with prominence scores of 9.141, 9.068, and 8.865, respectively. “Lack of adaptive technological infrastructure” emerges as the most critical causal driver, followed by “lack of commitment from top management” and “poor inter-departmental collaboration and communication.” This research provides valuable insights for improving quality management and fostering innovation in the footwear manufacturing industry, which can guide practitioners and policymakers in overcoming barriers, promoting sustainability, and enhancing competitiveness in this manufacturing sector.
一种直觉模糊方法来评估鞋类制造业采用质量4.0的障碍:对新兴经济体可持续性的影响
鞋类制造业极大地促进了全球时尚趋势和经济增长。尽管如此,它仍然面临着诸如原材料浪费过多、返工增加和质量控制不足等挑战,这些挑战阻碍了可持续性和竞争力。将工业4.0技术与质量管理相结合,即质量4.0 (Q4.0),通过实时监控、预测分析和可持续实践提供了变革潜力。然而,采用Q4.0技术受到各种障碍的阻碍,需要彻底了解这些障碍,才能制定有效的缓解战略。为此,本研究调查了鞋类制造业采用Q4.0的主要障碍,重点关注孟加拉国等新兴经济体。采用区间值2型直觉模糊(IVT2IF)理论和决策试验与评估实验室(DEMATEL)方法相结合的综合多准则决策(MCDM)方法,确定了16个障碍,经专家验证,并分析了相互依赖性。结果显示,“投资回报率(ROI)的不确定性和资本投入不足”、“缺乏适应性技术基础设施”和“工业4.0技术管理困难”是最突出的障碍,其突出性得分分别为9.141、9.068和8.865。“缺乏适应性的技术基础设施”是最关键的原因驱动因素,其次是“缺乏高层管理人员的承诺”和“糟糕的部门间协作和沟通”。本研究为鞋类制造业改善质量管理和促进创新提供了有价值的见解,可以指导从业者和决策者克服障碍,促进可持续发展,提高竞争力。
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来源期刊
Journal of Open Innovation: Technology, Market, and Complexity
Journal of Open Innovation: Technology, Market, and Complexity Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
11.00
自引率
0.00%
发文量
196
审稿时长
1 day
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