纺织中小微企业可持续生产计划的多目标优化模型

Q2 Engineering
Pablo Flores-Siguenza, Jose Antonio Marmolejo-Saucedo, Rodrigo Guamán
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引用次数: 0

摘要

纺织中小微企业的特点是对各国经济的影响很大,既对国内生产总值作出了贡献,也创造了就业机会,但近年来,其业务的复杂性、不稳定性以及经济、环境和社会因素(可持续发展的轴心)之间缺乏平衡的问题十分突出。有必要实施可持续制造和生产计划等方法,这些方法寻求创造对环境影响最小、对工人安全、经济稳健的产品。在此背景下,本研究旨在建立一个多目标优化模型,以提高纺织中小微企业的可持续生产计划。该方法基于两个阶段,第一个阶段侧重于信息的获取,第二个阶段致力于模型的数学公式,其中提出了三个目标函数,重点是经济,环境和社会因素。该模型用厄瓜多尔一家纺织中小企业的真实数据进行了验证,并通过建议实施和使用光伏能源以及更多地使用个人防护装备,产生了不同的生产替代方案。该研究的相关结论之一是可持续决策支持工具对纺织行业的贡献,其中显示了生产计划的不同情景及其各自的经济,环境和社会后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective optimization model for sustainable production planning in textile MSMEs
Textile MSMEs are characterized by their high influence on the economy of the countries, both for their contribution to the gross domestic product as well as for the generation of employment, in recent years the complexity of their operations, instability and lack of balance between economic, environmental and social factors, axes of sustainable development, stand out. It is necessary to implement approaches such as sustainable manufacturing and production planning, which seeks the creation of products with minimal environmental impact, safe for workers, and economically robust. In this context, this study aims to develop a multi-objective optimization model that enhances sustainable production planning in textile MSMEs. The methodology is based on two phases, the first one focused on the acquisition of information and the second one dedicated to the mathematical formulation of the model, where three objective functions focused on economic, environmental and social factors are proposed. The model is validated with real data from a textile MSME in Ecuador and different production alternatives are generated by proposing the implementation and use of photovoltaic energy as well as a greater use of personal protective equipment. One of the relevant conclusions of the study is the contribution to the textile industry with a sustainable decision support tool, where different scenarios for production planning and their respective economic, environmental and social consequences are shown.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
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