Editorial: Special issue on advances in zero defect manufacturing

被引：2
作者：
Powell, Daryl [1 ]
Magnanini, Maria Chiara [2 ]
机构：
[1] SINTEF Mfg AS, Horten, Norway
[2] Politecn Milan, Milan, Italy
来源：
COMPUTERS IN INDUSTRY | 2023年 / 151卷
关键词：
Zero defect manufacturing; Digitalization; Quality management;
D O I：
10.1016/j.compind.2023.103962
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This introduction to the special issue discusses contemporary advances in zero defect manufacturing. As a technology-intensive concept, zero defect manufacturing has gained greater traction in recent years, given widespread interest in and adoption of Industry 4.0. As such, zero defect manufacturing has the potential to disrupt and reshape our entire manufacturing ideology. In this editorial, we present an overview of the main findings of the papers that were selected for publication in this special issue and provide our reflections for the future of zero defect manufacturing research.
引用
收藏
页数：3
相关论文
共 17 条
[1]   In-situ workpiece perception: A key to zero-defect manufacturing in Industry 4.0 compliant job shops [J].
Babalola, Simeon A. ;
Mishra, Debasish ;
Dutta, Samik ;
Murmu, Naresh C. .
COMPUTERS IN INDUSTRY, 2023, 148
[2]   Function-based selective and adaptive cyber-physical assembly system for increased quality in optoelectronics industry [J].
Demir, Ozan Emre ;
Colledani, Marcello ;
Paoletti, Roberto ;
Pippione, Giulia .
COMPUTERS IN INDUSTRY, 2023, 148
[3]   Correlation analysis methods in multi -stage production systems for reaching zero -defect manufacturing [J].
Eger, Florian ;
Reiff, Colin ;
Brantl, Bernd ;
Colledani, Marcello ;
Verl, Alexander .
51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 :635-640
[4]   A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance [J].
Fragapane, Giuseppe ;
Eleftheriadis, Ragnhild ;
Powell, Daryl ;
Antony, Jiju .
COMPUTERS IN INDUSTRY, 2023, 148
[5]   Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears [J].
Gauder, Daniel ;
Bott, Alexander ;
Golz, Johannes ;
Lanza, Gisela .
COMPUTERS IN INDUSTRY, 2023, 146
[6]   Development of an adaptive quality control loop in micro-production using machine learning, analytical gear simulation, and inline focus variation metrology for zero defect manufacturing [J].
Gauder, Daniel ;
Goelz, Johannes ;
Jung, Niels ;
Lanza, Gisela .
COMPUTERS IN INDUSTRY, 2023, 144
[7]   A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing [J].
Isaja, Mauro ;
Nguyen, Phu ;
Goknil, Arda ;
Sen, Sagar ;
Husom, Erik Johannes ;
Tverdal, Simeon ;
Anand, Abhilash ;
Jiang, Yunman ;
Pedersen, Karl John ;
Myrseth, Per ;
Stang, Jorgen ;
Niavis, Harris ;
Pfeifhofer, Simon ;
Lamplmair, Patrick .
COMPUTERS IN INDUSTRY, 2023, 146
[8]   Toward Zero Defect Manufacturing with the support of Artificial Intelligence-Insights from an industrial application [J].
Leberruyer, Nicolas ;
Bruch, Jessica ;
Ahlskog, Mats ;
Afshar, Sara .
COMPUTERS IN INDUSTRY, 2023, 147
[9]   A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency [J].
Leontaris, Lampros ;
Mitsiaki, Andreana ;
Charalampous, Paschalis ;
Dimitriou, Nikolaos ;
Leivaditou, Eleni ;
Karamanidis, Aristoklis ;
Margetis, George ;
Apostolakis, Konstantinos C. ;
Pantoja, Sebastian ;
Stephanidis, Constantine ;
Tzovaras, Dimitrios ;
Papageorgiou, Elpiniki .
COMPUTERS IN INDUSTRY, 2023, 149
[10]   Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions [J].
Powell, Daryl ;
Magnanini, Maria Chiara ;
Colledani, Marcello ;
Myklebust, Odd .
COMPUTERS IN INDUSTRY, 2022, 136
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