Developing a novel based productivity model by investigating potential bounds of production plant: A case study.

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Z. Hussain
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引用次数: 4

Abstract

Productivity level is based on reliability impression which is the rudimentary aspect of automatic assembly line for continuous production. Productivity forecasting is a professional tool helping to enhance production system and attain the client petition by using precise model. Due to mechanisms complexity of assembly lines, analysis of failure factors contributes a significant role for investigating potential bounds that require analytial approach for comparison the current and proposed model of productivity effects. The issues related to production losses need additional space for improvement of productivity model which may not present a close comparison between the current and proposed model of productivity. Through this paper the development of a novel based productivity model is attempted to extant comparisons for availability of assembly line workspaces of an automobile tire manufacturing plant in Pakistan. For investigating the potential bounds of productivity losses, DMAIC and PACE techniques are used. It is verified that novel productivity model yielded better results of 3.358 % errors showing its accuracy as compared to real productivity level at different workspaces. Different rates of production losses followed by the workspaces blockage timing issues are effectively discussed with engineering maintainable explanation for productivity enhancement within the tire curing assembly line.
通过调查生产工厂的潜在边界,开发一种新的基于生产力的模型:一个案例研究。
生产率水平是基于可靠性印象的,可靠性印象是连续生产自动装配线的基本方面。生产力预测是一种专业的工具,通过使用精确的模型来帮助增强生产系统并获得客户申请。由于装配线的机制复杂性,故障因素的分析在研究潜在界限方面发挥着重要作用,这些界限需要分析方法来比较当前和提出的生产率效应模型。与生产损失相关的问题需要额外的空间来改进生产力模型,这可能无法在当前和拟议的生产力模型之间进行密切的比较。通过本文,试图开发一种新的基于生产力的模型,以比较巴基斯坦一家汽车轮胎制造厂装配线工作空间的可用性。为了研究生产率损失的潜在界限,使用了DMAIC和PACE技术。经验证,与不同工作空间的实际生产力水平相比,新的生产力模型产生了更好的结果,误差为3.358%,表明了其准确性。有效地讨论了不同的生产损失率以及工作空间堵塞时间问题,并对轮胎硫化装配线内的生产率提高进行了工程可维护的解释。
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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来源期刊
CiteScore
2.10
自引率
13.30%
发文量
18
审稿时长
20 weeks
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