Production System Maturity Model (PSMM) for Assessing Manufacturing Execution System

Abstract

In conjunction with Industry 4.0, the manufacturing execution system (MES) has emerged as an essential component for implementing smart factories. The complexity of product specifications and the need to manage production facilities more efficiently has generated a growing demand for digital transformation within MES and enhancement of MES to replace manufacturing operators or support engineers. However, the lack of concrete methods to assess the current utilization of MES poses challenges in efficiently addressing unmanned automation and digital transformation requirements. This study proposes a maturity model (MM) and corresponding index to measure the level of MES within companies. The model quantifies the degree of automation in manufacturing operations and production management processes. Expanding on the existing MM, this method proposes two dimensions (operation and management) to evaluate the MES maturity and balance index across 17 standard system modules. The proposed method aims to provide a tool for companies to prepare for advanced smart factories in the future. Using the proposed production system MM, we conducted a diagnostic assessment of the MES levels of 93 manufacturers, for the first time confirming the maturity index gap and balance index change patterns between operation and management systems across industry groups and revenue scales.

Keywords

• Production system maturity model
• production system maturity index
• production system balance index
• manufacturing digital transformation
• automated manufacturing execution