The AMSE Lean Six Sigma governance model

Abstract

Purpose The sustainability of the Lean Six Sigma (LSS) program represents the most challenging aspect for most of the organizations dealing with this methodology. In this scenario, the purpose of this paper is the description of the AMSE (which stands for Assessment, Monitoring, Sustainability, Expansion) Model, that represents a leading-edge approach to implement an effective LSS deployment on a permanent basis, by means of a structured roadmap. Design/methodology/approach The AMSE roadmap is made of four operating phases – Assessment, Monitoring, Sustainability, Expansion – it is a Model to govern the LSS deployment and to maximize both operative and economical results on a long-term basis. Findings One of the main problems of LSS programs is their sustainability (sustainability of projects and the overall program) over time; the AMSE Model allows the deployment of an LSS Governance Structure with a clear definition of tasks; this model can be effectively applied both to small and medium enterprises (SMEs) and global companies, regardless of the sector. Practical implications Both SMEs and global corporations could benefit from applying the AMSE in terms of operational efficiency, culture improvement and people engagement. Originality/value The AMSE Model represents an innovative approach for sustaining a continuous improvement culture in the organizations over time, by defining four steps (Assessment, Monitoring, Sustainability, Expansion), divided into detailed tasks, each of which is characterized by its own specific tools.

The Revolution Lean Six Sigma 4.0

“…The integration of Six Sigma [40], methodology focused on process variability reduction and standardization, with Lean Thinking [41], approach which aims to reduce wastes, has created Lean Six Sigma [32]. These two disciplines have proven to be especially successful when working together [31], and the great success in a variety of industries has led to the fact that its application is not limited to the manufacturing area but is extended to service and public administration industry [42].…”

“…However, in embedded systems, weight and power consumption [27], does not allow such solutions and consequently, different approaches based on the using of an embedded microprocessor and hardware accelerators will be used [28], [29]. The potential to integrate Lean Manufacturing to Industry 4.0 has been debated [30], and, more specifically, Lean Six Sigma (LSS) has been investigated in its applications to accelerate the process of extracting key insights from Big Data, and how Big Data processing can help to innovate and cast a new light on the projects requiring the use of Lean Six Sigma [31], [32]. As it is known, indeed, Lean Six Sigma has been successfully applied to many areas, such as government, industry, services, and, ultimately, to HealthCare.…”

A Holistic Model for the Proactive Reduction of Non-conformities within New Industrial Technologies

“…For a company that runs its business in a tough competitive environment, it is paramount not only to concentrate efforts in the identification of those NCs that have a greater impact on the product/service value, but also to seek the proper balance between resolution capabilities intervention and its related costs [3]. This approach is one of the basic elements of many methods such as Lean Six Sigma [4], Eight Disciplines of Problem Solving (8D) or A3 problem solving [5], [6].…”

Axiomatic Design for an Efficient Development of Optimized RPM Systems

“…This avoids reticence in system adoption and provides customer satisfaction. In this phase, the clusters of customers can be identified with the aid of Lean Six Sigma (LSS) [22] instruments, based on the transformation from Voice Of Customer (VOC) to Functional Requirements and Design Parameters [23][24][25][26][27][28]. In this specific case, the Quality Function Deployment (QFD) tool helps transforming the users' needs into functional requirements, then subsequently applying the Axiomatic Design methodology.…”