Purpose

The purpose of this paper is to implement the six sigma (SS) strategy in a bag sector under actual operating circumstances based on defining-measure-analyze-improve and control (DMAIC). During the project, several statistical tools and methods have been used efficiently to create inferences. Thus, to measure and enhance system efficiency, the author calculate reliability, availability and maintainability (RAM) indices. Based on this research, the author show how the SS method and RAM analysis are very helpful in determining maintenance intervals, as well as in planning and organizing the appropriate maintenance strategy.

Design/methodology/approach

This study introduces the step-by-step application of the DMAIC methodology for the identification and reduction of bag production line downtime and examines the present operations management. Thus, statistical techniques are used to analyze the failure and repair database. Pareto analysis, histograms and descriptive statistics at the machine and line-level of the historical data were conducted. Trend and serial correlation testing validated the hypothesis of independence and identical distribution of database was performed. In addition, with their best fit allocation, the RAM of both the bag production line and its machines was estimated at separate mission times.

Findings

The main goals of the applied method are to understand the nature of the downtime patterns and to accurately and quantitatively estimate the RAM characteristics of the bag production system. The assessment defines the production line's critical points, requiring further enhancement through an efficient maintenance approach. Therefore, by improving plant efficiency and safety, the author can decrease unplanned downtime and equipment failures.

Originality/value

This research is expected to serve as an attempt to conduct SS DMAIC methodology through RAM assessment and its impact on system efficiency under actual circumstances. The benefit of the methodology is that the manufacturing process is continuously monitored by suitable indicators, the use of which leads to a continuous improvement cycle.

中文翻译：

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基于六西格玛DMAIC方法的制袋业可靠性，可用性和可维护性分析

目的

本文的目的是在实际操作情况下，基于定义-措施-分析-改善和控制（DMAIC），在制袋业中实施六西格玛（SS）策略。在项目期间，已有效地使用了几种统计工具和方法来进行推断。因此，为了衡量和提高系统效率，作者计算了可靠性，可用性和可维护性（RAM）指标。基于这项研究，作者展示了SS方法和RAM分析如何在确定维护间隔以及计划和组织适当的维护策略方面非常有帮助。

设计/方法/方法

这项研究介绍了DMAIC方法的逐步应用，以识别和减少制袋生产线的停机时间，并研究了当前的运营管理。因此，使用统计技术来分析故障和修复数据库。在历史数据的机器和行级别进行了帕累托分析，直方图和描述性统计。趋势和序列相关性测试验证了假设的独立性，并且执行了数据库的相同分布。此外，根据最佳配合分配情况，袋子生产线及其机器的RAM均在不同的任务时间进行估算。

发现

应用方法的主要目标是了解停机模式的性质，并准确定量地评估制袋系统的RAM特性。该评估确定了生产线的关键点，需要通过有效的维护方法进一步增强。因此，通过提高工厂效率和安全性，作者可以减少计划外的停机时间和设备故障。

创意/价值

这项研究有望作为尝试通过RAM评估进行SS DMAIC方法及其在实际情况下对系统效率的影响。该方法的好处是，制造过程由合适的指标连续监控，使用这些指标会导致持续的改进周期。