A cyber-physical system approach to zero-defect manufacturing in light-gauge steel frame assemblies

被引:16
作者
Martinez, Pablo [1 ,2 ]
Al-Hussein, Mohamed [2 ]
Ahmad, Rafiq [1 ]
机构
[1] Univ Alberta, Dept Mech Engn, Lab Intelligent Mfg Design & Automat LIMDA, Edmonton, AB, Canada
[2] Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB, Canada
来源
3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING | 2022年 / 200卷
基金
加拿大自然科学与工程研究理事会;
关键词
zero-defect manufacturing; cyber-physical systems; industry; 4.0; manufacturing processes; preventive maintenance; inspection systems; INSPECTION; PRODUCT;
D O I
10.1016/j.procs.2022.01.290
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recent advances in manufacturing research have set the stage for the industrial integration of zero-defect manufacturing strategies, aiming towards a more sustainable production paradigm. A systematically deployment guideline to implement zero-defect manufacturing is needed to transform the future cyber-physical factory floor. This paper describes a novel framework based on a well-known cyber-physical architecture that provides advanced information analytics, robust information flows, and data acquisition systems that support defect detection and prediction introduces repair technologies and sets up procedures for preventive maintenance. Through continuous inspection of product and equipment status during the manufacturing process, raw quality and tool health data from different sources is used to obtain key performance indicators. Statistical tools such as cross-correlation are then applied to quantify underlying relationships between product quality specifications and equipment health. The resulting correlations are then used to reduce non-conformance of products manufactured by implementation of preventive maintenance. A unified implementation for zero-defect manufacturing cyber-physical processes eases their integration in future Industry 4.0 facilities and validated in the context of offsite construction manufacturing of steel frame assemblies. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页码:924 / 933
页数:10
相关论文
共 21 条
[1]   QUALITY-CONTROL TECHNIQUES FOR ZERO DEFECTS [J].
CALVIN, TW .
IEEE TRANSACTIONS ON COMPONENTS HYBRIDS AND MANUFACTURING TECHNOLOGY, 1983, 6 (03) :323-328
[2]  
Chiariotti P, 2018, IEEE INTL CONF IND I, P834, DOI 10.1109/INDIN.2018.8472016
[3]   Design and management of manufacturing systems for production quality [J].
Colledani, Marcello ;
Tolio, Tullio ;
Fischer, Anath ;
Iung, Benoit ;
Lanza, Gisela ;
Schmitt, Robert ;
Vancza, Jozsef .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2014, 63 (02) :773-796
[4]   Zero defect manufacturing strategies for reduction of scrap and inspection effort in multi-stage production systems [J].
Eger, Florian ;
Coupek, Daniel ;
Caputo, Davide ;
Colledani, Marcello ;
Penalva, Mariluz ;
Ortiz, Jon Ander ;
Freiberger, Hermann ;
Kollegger, Gernot .
11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2018, 67 :368-373
[5]  
Eleftheriadis Ragnhild J., 2020, Advanced Manufacturing and Automation IX. Lecture Notes in Electrical Engineering (LNEE 634), P373, DOI 10.1007/978-981-15-2341-0_46
[6]   A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems [J].
Lee, Jay ;
Bagheri, Behrad ;
Kao, Hung-An .
Manufacturing Letters, 2015, 3 :18-23
[7]  
Lee J., 2018, Manuf Lett, V18, P20, DOI [10.1016/j.mfglet.2018.09.002, DOI 10.1016/J.MFGLET.2018.09.002]
[8]   Cyber physical systems for predictive production systems [J].
Lee J. ;
Jin C. ;
Bagheri B. .
Production Engineering, 2017, 11 (02) :155-165
[9]   Implementation of Cyber-Physical Production Systems for Quality Prediction and Operation Control in Metal Casting [J].
Lee, JuneHyuck ;
Noh, Sang Do ;
Kim, Hyun-Jung ;
Kang, Yong-Shin .
SENSORS, 2018, 18 (05)
[10]   Industry 4.0: A survey on technologies, applications and open research issues [J].
Lu, Yang .
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2017, 6 :1-10