Sustainable manufacturing plays a pivotal role in fostering economic growth, social development and environmental well-being. The Facility Layout Problem (FLP) in manufacturing involves optimizing the arrangement of resources for cost reduction and increased productivity. Sustainable facility layouts aim to minimize environmental impact, enhance social responsibility, and align with economic efficiency. Central considerations include resource efficiency, reduced energy consumption, and adherence to green building principles. Socially responsible layouts prioritize worker well-being, safety, and job satisfaction, contributing to a positive organizational reputation. The research introduces a novel method for solving FLP using scatter plots without predefined object locations. This approach employs optimization based on linguistic patterns with fuzzy variables, providing flexibility in modeling diverse manufacturing and supply chain problems. The paper presents simulation-based experiments to validate the proposed method, comparing it with a previous model. The generated scatter plots serve as tools for supporting sustainable manufacturing, offering qualitative and quantitative insights into designing systems that meet specific sustainability goals. The study contributes by bridging qualitative and quantitative approaches, particularly in handling imprecise and uncertain data. The proposed method's flexibility allows for formalizing and applying expert knowledge, influencing the continuous sustainability of manufacturing processes. Overall, the paper provides a comprehensive analysis of the proposed method, its sensitivity to parameter changes, and its potential impact on sustainable manufacturing.

中文翻译：

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可持续制造系统设计中基于语言模式的设施布局优化


可持续制造在促进经济增长、社会发展和环境福祉方面发挥着关键作用。制造业中的设施布局问题 (FLP) 涉及优化资源安排以降低成本和提高生产率。可持续的设施布局旨在最大限度地减少对环境的影响，增强社会责任并与经济效益保持一致。核心考虑因素包括资源效率、减少能源消耗以及遵守绿色建筑原则。对社会负责的布局优先考虑员工的福祉、安全和工作满意度，有助于建立良好的组织声誉。该研究引入了一种使用散点图求解 FLP 的新方法，无需预定义对象位置。这种方法采用基于模糊变量的语言模式的优化，为建模不同的制造和供应链问题提供了灵活性。本文提出了基于仿真的实验来验证所提出的方法，并将其与以前的模型进行比较。生成的散点图可作为支持可持续制造的工具，为设计满足特定可持续发展目标的系统提供定性和定量的见解。该研究通过桥接定性和定量方法做出贡献，特别是在处理不精确和不确定的数据方面。所提出的方法的灵活性允许形式化和应用专家知识，影响制造过程的持续可持续性。总体而言，本文对所提出的方法、其对参数变化的敏感性及其对可持续制造的潜在影响进行了全面分析。