通过流程管理、自主维护、工作方法和需求预测提高中小企业货运订单的完美性

German BazanChafloque, Fernando Sinchi-Perez, I. Macassi-Jáuregui
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引用次数: 0

摘要

运输行业的中小企业(SME)占秘鲁现有公司的91.5%。本文讨论了完美订单的低效率,因为该值比这些公司的最优值90%低41.93%。提出的解决方案模型结合了自主维护、预测方法、工作方法和过程管理工具。在Literature Review中,我们发现针对这一问题的研究存在信息缺口,行业中也存在其他问题。此外,本文结合了四种工具,而其他作者只结合了两种工具。通过仿真这四个工具的实现,对模型进行了验证。结果显示,完美订单的效率提高了15%,成本降低了8.95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Perfect Orders at a Freight Transportation SME through Process Management, Autonomous Maintenance, Working Methodology and Demand Forecast
Small and Medium-sized Enterprises (SME) in the transportation industry represent 91.5% of the existing companies in Peru. This paper discusses low efficiency rates of the Perfect Order since this value is 41.93% below the optimal value of 90% for these companies. The proposed solution model combines the Autonomous Maintenance, Forecasting Method, Working Methodology, and Process Management tools. During the Literature Review, an information gap was found with respect to studies focusing on this problem, as well as other existing problems in the industry. In addition, this paper combines four tools against other authors who have only combined two. The validation of this model is conducted by simulating the implementation of these four tools. The results reveal a 15% increase in Perfect Order efficiency, as well as an 8.95% reduction in costs.
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