Title: Manufacturing process quality tracking and early warning system for building material equipment group enterprise considering schedule

Authors: Wenxiang Xu; Lei Wang; Ying Zuo

Addresses: School of Mechanical Engineering, Hubei University of Arts and Science, No. 296 Longzhong Road, Xiangyang, 441000, China ' School of Mechanical and Electronic Engineering, Wuhan University of Technology, No. 122 Luoshi Road, Wuhan, 430070, China ' Research Institute for Frontier Science, Beihang University, No. 37 Xueyuan Road, Beijing 100191, China

Abstract: Since it is difficult for building material equipment group enterprise to track quality information and provide reasonable early warning for quality problems, a collaborative quality tracking and early warning method was developed. Firstly, a framework of multi-level quality information tracking and quality problem early warning considering schedule was established. Secondly, a multi-source information intergration framework was proposed in this study, and an interaction method of heterogeneous data based on intermediate object model for the framework was designed. Then, to describe the type and emergency degree of a quality problem comprehensively, a classification priority early warning method considering the schedule of manufacturing task was proposed in this research. Finally, a typical case was presented by using the model and method proposed in this study, and a quality dynamic tracking and early warning system was designed and developed.

Keywords: building material equipment; manufacturing process; quality information tracking; manufacturing schedule; quality problem early warning.

DOI: 10.1504/IJSCOM.2023.131580

International Journal of Service and Computing Oriented Manufacturing, 2023 Vol.4 No.2, pp.115 - 133

Received: 02 Dec 2020
Accepted: 09 Mar 2021
Published online: 19 Jun 2023 *

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