Sustainable Performance Measurement in Manufacturing Process of Textile Industry by using Analytical Hierarchy Process

M. Siraj
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Abstract

Sustainable manufacturing practices in textile industry have become a crucial topic for managers of manufacturing organizations to remain competitive in the market. The textile sector is well known for consuming a large amount of natural resources, raw materials, energy, and fossil fuels, and for being a significant contributor to pollution. Evaluating sustainability performance of textile manufacturing companies is therefore important. To address this, a study has developed an Analytical hierarchy process (AHP)-based model for assessing sustainable manufacturing performance. The study identifies performance measures for sustainable manufacturing based on economic, environmental, social, and technical factors, and confirms their relevance through a survey. The findings demonstrate that all measures are extremely important and are suggested as key performance measures for textile sector. Then, AHP is used to evaluate sustainable manufacturing performance based on these measures, results in quality and employee ranking as highest critical factors, and complexity and flexibility as least important. The study offers hierarchical model for evaluating sustainability performance of five case organizations, providing guidance for production managers to assess strengths and weaknesses of their organizations. These findings encourage researchers and practitioners to study more about sustainability evaluation.
基于层次分析法的纺织工业制造过程可持续绩效评价
纺织行业的可持续制造实践已成为制造组织管理者保持市场竞争力的关键话题。众所周知,纺织行业消耗了大量的自然资源、原材料、能源和化石燃料,也是造成污染的一个重要因素。因此,评估纺织制造公司的可持续性绩效非常重要。为了解决这个问题,一项研究开发了一种基于分析层次过程(AHP)的模型来评估可持续制造绩效。该研究确定了基于经济、环境、社会和技术因素的可持续制造业的绩效衡量标准,并通过调查证实了它们的相关性。研究结果表明,所有措施都非常重要,并建议作为纺织部门的关键绩效措施。然后,AHP被用于评估基于这些措施的可持续制造绩效,结果质量和员工排名是最重要的关键因素,复杂性和灵活性是最不重要的。本研究为五个案例组织的可持续发展绩效评估提供了层次模型,为生产管理者评估其组织的优势和劣势提供了指导。这些发现鼓励研究人员和实践者对可持续性评估进行更多的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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