An architecture design for smart manufacturing execution system

ABSTRACT

MES (Manufacturing Execution System) puts plans given by enterprise system such as ERP(Enterprise Resource Planning) into practice in the shop floor. As contemporary companies are faced with challenge represented by customer-centric market environment and intense competitions, it becomes increasingly important for companies to cope with dynamic customers’ demand and shop floor situation rapidly. Even though current MESs gets some improvement on collecting raw data, they fall short of expectation on analyzing data and takes action by cooperating various manufacturing management functions. Furthermore, even though many researches treat data collection, data analysis based on shop floor situation, little number of previous researches deals with collaboration among various functionalities provided by MES. In this paper, we introduce the design of advanced MES (namely Smart MES) for helping MES collect, analyze, take measure by collaborating various functions. This paper consists of two parts. In the first part, current MES problem analysis and corresponding design consideration are presented. In the second part, architecture design of Smart MES is proposed based on design consideration and an operation scenario of TO-BE model is provided for comparison with AS-IS model.

GRAPHICAL ABSTRACT

KEYWORDS:

• Manufacturing execution system (MES)
• data integration
• system architecture
• collaboration

Acknowledgement

This research was in part supported by Ministry of Trade, Industry and Energy of Korea (Development of Integrated Operational Technologies for Smart Factory Application with Manufacturing Big Data), and Institute for Information & Communications Technology Promotion of Korea(Establishment of the Testbed for a Convergence of IoTs and Manufacturing Technology).

ORCID

Byeong Woo Jeon http://orcid.org/0000-0002-3162-9296

Jumyung Um http://orcid.org/0000-0002-8040-6144

Soo Cheol Yoon http://orcid.org/0000-0002-1066-7867

Suh Suk-Hwan http://orcid.org/0000-0002-3176-1692

Notes

1. ECMiner is the big data analysis solution developed by ECMiner.