An advisory tool for sustainability-driven maintenance. A real case in mould and die industry

2015 International Conference on Industrial Engineering and Systems Management (IESM) Pub Date : 2015-10-01 DOI:10.1109/IESM.2015.7380315

A. Fontana, M. Cinus, Marzio Sorlini, M. Alge, L. Canetta, A. Maggi

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引用次数: 2

Abstract

Maintenance impacts on environmental, economical and social performances of a product are often overlooked or underestimated. Especially for durable goods, maintenance should positively influence the product sustainability profile extending its lifespan, but, negatively, it also adds operations and materials usage. Available sustainability (mostly environmental) assessment tools either do not consider maintenance impacts, or compute them just for already produced products, this extremely limiting (or even inhibiting) the capability to improve the sustainability profile of under-design products. The here presented tool, based on a Naïve Bayes Classifier, real-timely computes the sustainability performances of under-design moulds, thus advising the mould designer towards better performing design choices. The paper presents the tool development process and achieved results, exploiting the advantages of the selected target product: a long-lasting, frequently maintained capital good.

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可持续性维护的咨询工具。模具行业的一个真实案例

维护对产品的环境、经济和社会性能的影响往往被忽视或低估。特别是对于耐用品，维护应该积极影响产品的可持续性，延长其使用寿命，但消极的是，它也增加了操作和材料的使用。现有的可持续性(主要是环境)评估工具要么不考虑维护影响，要么只计算已经生产的产品的影响，这极大地限制了(甚至抑制了)改进设计不足的产品的可持续性的能力。这里介绍的工具，基于Naïve贝叶斯分类器，实时计算未设计模具的可持续性性能，从而建议模具设计师做出更好的设计选择。本文介绍了工具开发过程和取得的成果，利用所选目标产品的优势:一个持久的，经常维护的资本商品。

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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2015 International Conference on Industrial Engineering and Systems Management (IESM)

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