SMEs encounter many difficulties in integrating and operating various information systems introduced to build smart factories. The source of this difficulty comes from integrated management of data interface between information systems. This research proposes a data interface middleware that can operate and manage various data interfaces between information systems in an integrated manner. First, this study identifies the types of information systems and operational information needed to build smart factories and analyzes the ways of data interface and requirements suitable for the manufacturing environment of SMEs. Structure and detailed functions of the data interface middleware are designed based on the analysis results. The proposed data interface middleware consists of the function layer, engine layer, and DB layer. The function layer is a set of functions for operating the middleware, and the engine layer comprises core engines for executing the functions. The DB layer manages all information that gathers when the data interface is executed. We applied the proposed middleware to connect data between the existing ERP and newly introduced smart factory package software in SMEs. Application results show that the associated data types are consistent in the two systems, and accuracy of the data parsing process is reliable.
Citations
Citations to this article as recorded by
A Review of Intelligent Machining Process in CNC Machine Tool Systems Joo Sung Yoon, Il-ha Park, Dong Yoon Lee International Journal of Precision Engineering and Manufacturing.2025; 26(9): 2243. CrossRef
Improvement of Manufacturing Industry Work Environment Using Signage: Root Industry Kyungjin Oh, Nayoung Lee, Daekwon Chung, Jinho Woo, Haeyeon Shin, Hunseop Kim, Ho Seong Lee, San Kim, SangJun Moon, Won-Shik Chu Academic Society for Appropriate Technology.2022; 8(3): 117. CrossRef
Quality management is very important to ensure competitiveness through good quality products. It is performed in all fields of manufacturing. While small and medium-sized manufacturing enterprises have introduced quality management systems for systematic quality control, the effectiveness of such systems has been very low. To overcome this problem, it is necessary to develop and introduce a quality management system that can reflect uality work characteristics of individual SMMEs and support quality work on a company-wide basis. This study constructed a quality management platform for all SMMEs by first gathering common functions essential to perform quality work and then created a customized quality management system for each company by adding optional functions reflecting characteristics and requirements of the individual company. The quality management platform is designed in detail through a series of processes such as deriving functions that users want, redefining them, organizing the information flow, and designing the DB and user interface. It is structured in three steps involving DB layer, functional layer, and service layer. Its effectiveness was demonstrated by constructing and operating the customized quality management system applied to actual companies.
Citations
Citations to this article as recorded by
Empirical validation of prevention-focused quality cost management: evidence from Indonesia manufacturing Indra Indra, Gatot Yudoko, Nur Budi Mulyono Cogent Business & Management.2025;[Epub] CrossRef
The Implementation of Unified Application Data Collection and Analysis in Tobacco Enterprise Platform Design Yong Jin, Weidong Lou, Miaochao Chen Journal of Function Spaces.2022; 2022: 1. CrossRef
A Development of Data Interface Middleware for Building Smart Factory Hong Jin Jeong, Ki Hyeong Song, Bo Hyun Kim Journal of the Korean Society for Precision Engineering.2021; 38(12): 935. CrossRef
Package Software Configuration and Cloud-Based Service System for Building a Smart Factory in the Root Industry Ki Hyeong Song, Hong Jin Jeong, Dong Yoon Lee, Bo Hyun Kim Journal of the Korean Society of Manufacturing Technology Engineers.2020; 29(4): 323. CrossRef