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一种用于材料去除过程中绿色制造的可持续指标定义与评估方法。

An Approach to Sustainable Metrics Definition and Evaluation for Green Manufacturing in Material Removal Processes.

作者信息

Ayabaca César, Vila Carlos

机构信息

Department of Mechanical Engineering and Materials, Universitat Politècnica de València, 46022 València, Spain.

Department of Mechanical Engineering, Faculty of Mechanical Engineering, Escuela Politécnica Nacional, Quito 170524, Ecuador.

出版信息

Materials (Basel). 2020 Jan 14;13(2):373. doi: 10.3390/ma13020373.

Abstract

Material removal technologies should be thoroughly analyzed not only to optimize operations but also to minimize the different waste emissions and obtain cleaner production centers. The study of environmental sustainability in manufacturing processes, which is rapidly gaining importance, requires activity modeling with material and resource inputs and outputs and, most importantly, the definition of a balanced scorecard with suitable indicators for different levels, including the operational level. This paper proposes a metrics deployment approach for the different stages of the product life cycle, including a conceptual framework of high-level indicators and the definition of machining process indicators from different perspectives. This set of metrics enables methodological measurement and analysis and integrates the results into aggregated indicators that can be considered for continuous improvement strategies. This approach was validated by five case studies of experimental testing of the sustainability indicators in material removal operations. The results helped to confirm or modify the approach and to adjust the parameter definitions to optimize the initial sustainability objectives.

摘要

不仅要对材料去除技术进行全面分析以优化操作,还要尽量减少不同的废物排放并建立更清洁的生产中心。对制造过程中的环境可持续性研究正迅速变得重要起来,这需要对材料和资源的投入与产出进行活动建模,最重要的是,要定义一个包含适用于不同层面(包括操作层面)的合适指标的平衡计分卡。本文针对产品生命周期的不同阶段提出了一种指标部署方法,包括一个高层次指标的概念框架以及从不同角度定义加工过程指标。这组指标能够进行方法性的测量与分析,并将结果整合为可用于持续改进策略的综合指标。通过对材料去除操作中可持续性指标进行实验测试的五个案例研究,验证了该方法。结果有助于确认或修改该方法,并调整参数定义以优化初始的可持续性目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfb5/7013728/544960ad4e7b/materials-13-00373-g001.jpg

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