Purpose

This paper aims to depict the practical execution of the problem-solving structure provided by the define, measure, analyze, improve and control (DMAIC) framework in combination with the analytical power provided by process mining capabilities, to improve the supply chain quality of a health-care provider.

Design/methodology/approach

Prior to the study, a literature review was conducted to identify existing frameworks combining six sigma with process mining. The authors use a descriptive case study approach to explain how the two methodologies blend across the different phases of DMAIC in a health-care setting.

Findings

This case study describes how analyzing data extracted from core information systems has significant value to improvement initiatives when complemented by traditional quality methods. By intersecting process mining techniques with lean six sigma tools, the researchers found 65% of orders not complying with the target ordering time and 200 redundant purchases with high operational costs.

Research limitations/implications

By depicting how the two methodologies can be intertwined, this paper complements existing research by presenting it as a viable quality improvement approach.

Practical implications

This paper provides insights for six sigma and process mining practitioners on the benefits of combining both methodologies within the DMAIC structure. Implementing this blended approach can bring visibility to operations and accelerate process improvement initiatives.

Originality/value

The prime value of this paper lies in the integration of traditional six sigma methods with process mining as a technological approach in a health-care context, going beyond existing research, which, to the best of the knowledge, lacks descriptive case studies.

中文翻译：

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流程挖掘和精益六西格玛：一种分析医院供应链质量的新方法

目的

本文旨在描述定义、测量、分析、改进和控制 (DMAIC) 框架提供的问题解决结构的实际执行，并结合流程挖掘能力提供的分析能力，以提高供应链质量。保健提供者。

设计/方法/方法

在研究之前，进行了文献回顾以确定将 6 sigma 与流程挖掘相结合的现有框架。作者使用描述性案例研究方法来解释这两种方法如何在医疗保健环境中融合 DMAIC 的不同阶段。

发现

本案例研究描述了分析从核心信息系统中提取的数据如何在与传统质量方法相辅相成的情况下对改进计划具有重要价值。通过将流程挖掘技术与精益 6 sigma 工具相结合，研究人员发现 65% 的订单不符合目标订购时间，以及 200 个冗余采购，运营成本高。

研究限制/影响

通过描述这两种方法是如何相互交织的，本文通过将其作为一种可行的质量改进方法来补充现有的研究。

实际影响

本文为六位 sigma 和流程挖掘从业者提供了关于在 DMAIC 结构中结合这两种方法的好处的见解。实施这种混合方法可以为运营带来可见性并加速流程改进计划。

原创性/价值

本文的主要价值在于将传统的 6 sigma 方法与过程挖掘作为医疗保健环境中的一种技术方法相结合，超越了现有研究，据了解，现有研究缺乏描述性案例研究。