Methodology to Identify and Quantify Sources of Process Scrap on Shop Floor

Duaa Alrufaihi, Audrey Fernandes, Bhavya Gangar Jaysukh, Pauline Goldery, R. Kaur, Samuler Tirado Alvarez, Daniel Vazquez Navarro, K. Salonitis
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Abstract

Poor quality costs are the total financial losses caused by the products or services not being perfect. Process scrap is a major contributing factor to these losses. Identification of different sources of scrap and the resulting costs is paramount for Continuous Improvement. Furthermore, quantification of this scrap and how the data can be visualised will facilitate decision making by upper management. For this, a methodology that acts as a guide will prove to be of great use in the analysis of scrap generation in any manufacturing plant. In the case study presented, a comprehensive list of the possible sources was made. However, only those which were responsible for a major part of the cost and of great concern were shortlisted. Once identified, several measurement systems were proposed to accurately quantify the resultant scrap. This was then followed by data visualisation using a dashboard that gave a weekly update on the levels of scrap generated.
确定和量化车间工序废料来源的方法
不良质量成本是由于产品或服务不完善而造成的全部经济损失。工艺废料是造成这些损失的主要因素。识别不同的废料来源和由此产生的成本对持续改进至关重要。此外,对这些废料进行量化,以及如何将数据可视化,将有助于高层管理人员做出决策。为此,一种作为指南的方法将被证明在分析任何制造工厂的废料产生时非常有用。在所提出的个案研究中,列出了一份可能来源的全面清单。但是,只有那些承担大部分费用并引起极大关注的机构才被列入候选名单。一旦确定,提出了几个测量系统,以准确地量化产生的废料。然后使用仪表板进行数据可视化,该仪表板每周更新产生的废料水平。
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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