Open AccessA Conceptual Model of Smart Manufacturing Execution System for Rolling Stock Manufacturer
Author(s) -
Tae Hyun Kim,
Jongpil Jeong,
Yea-Sang Kim
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.04.081
Subject(s) - enterprise resource planning , computer science , stock (firearms) , automation , manufacturing engineering , stock management , supply chain , manufacturing execution system , automotive industry , manufacturing , industrial organization , business , computer integrated manufacturing , marketing , knowledge management , mechanical engineering , engineering , archaeology , plan (archaeology) , history , aerospace engineering
In the era of Industrial 4.0, today many manufacturing companies in Korea are transitioning to automation. As per automation, more and more companies have successfully adopted a manufacturing execution system (MES) and Enterprise Resource Planning (ERP), however, current MES cannot fully support integration into overall processes across the supply chain. As rolling stock manufacturers in Korea are faced with fierce competition, it becomes increasingly important to cope with various demands from clients for real-time shop floor situation. There has been much previous research on data collection, data analysis based on shop floor situation mostly in the semiconductor industry, however, little research dealt with rolling stock manufacturing setting. Thus, in this paper, we will introduce a new design of state of the art smart MES (or S-MES) for rolling stock manufacturer by collaborating various functions and To-Be model is provided for comparison with As-Is model.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom