基于模糊最优-最差综合评判法和模糊推理系统的纺织工业社会可持续性评价

Q4 Engineering
T. G. Fadara, K. Y. Wong
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引用次数: 0

摘要

研究的主要目的主要是制定可持续的社会指标,并从社会绩效的角度测试其在尼日利亚纺织行业的有用性和适用性。提出了模糊最佳-最差法(FBWM)和模糊推理系统(FIS)相结合的方法来帮助对这些指标进行评估。结果表明,员工权利在研究中获得了0.206的最高分数。员工权利被认为是最关键和最关键的因素。此外,在各项指标中,公平薪酬在全球的权重最高。案例公司的可持续发展绩效指数为0.248,属于“差”绩效类别。在尼日利亚纺织行业进行了案例研究,以证明所提出方法的有效性和效率。这些发现将有助于纺织制造业,特别是尼日利亚等新兴经济体的管理者和决策者制定战略,为社会可持续性和向真正可持续的纺织制造业转型奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Social Sustainability Performance in Textile Industry using Integrated Fuzzy Best-Worst Method and Fuzzy Inference System
The main purpose of the research primarily focused on the development of sustainable social indicators and to test their usefulness and applicability in the Nigerian textile sector in terms of social performance. The integrated Fuzzy Best-Worst method (FBWM) and Fuzzy inference system (FIS) was presented to aid in the evaluation of these indicators. The outcomes demonstrate that employee rights received the highest score of 0.206 in the study. Employee rights are regarded as the most crucial and critical factor. Furthermore, among the indicators, fair salary has the highest global weight. The case company's sustainability performance index was 0.248, which was in the "poor" performance category. A case study was conducted in a Nigerian textile industry to demonstrate the effectiveness and efficiency of the proposed method. These findings will assist managers and policymakers in the textile manufacturing industry, particularly in emerging economies such as Nigeria, in developing strategies to lay the groundwork for social sustainability and transition to truly sustainable textile manufacturing industry.
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来源期刊
Nigerian Journal of Technological Development
Nigerian Journal of Technological Development Engineering-Engineering (miscellaneous)
CiteScore
1.00
自引率
0.00%
发文量
40
审稿时长
24 weeks
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