Classification of Industry 4.0 for Total Quality Management: A Review

被引:16
作者
Baran, Erhan [1 ]
Polat, Tulay Korkusuz [2 ]
机构
[1] Gazi Univ, Elect & Automat Dept, TR-06560 Ankara, Turkey
[2] Sakarya Univ, Ind Engn Dept, TR-54050 Sakarya, Turkey
关键词
Industry; 4; 0; quality; technology; quality management; sustainability; AUGMENTED REALITY; BIG DATA; TECHNOLOGY-TRANSFER; HEALTH-CARE; MODEL; IMPLEMENTATION; SYSTEM; FRAMEWORK; INTERNET; IMPACT;
D O I
10.3390/su14063329
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The philosophy of total quality management is based on meeting quality requirements in all processes and meeting customer needs quickly and accurately through the contribution of all employees. This concept means that all the processes in an enterprise, all the technology used, and all the workforce employed represent the total quality of the enterprise, with the necessary controls and corrections made to ensure that the quality is sustainable. In this study, a detailed literature review and classification study regarding Industry 4.0, Industry 4.0 technologies, and quality has been carried out. The place and importance of quality in Industry 4.0 applications have been revealed by this classification study. In previous studies in the literature, the relationship between Industry 4.0 technologies and quality has not been examined. With this classification study, the importance of quality in Industry 4.0 has emerged, and an analysis has been conducted regarding which quality criteria are used and how often.
引用
收藏
页数:20
相关论文
共 180 条
[1]   Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry [J].
Agrawal, Tarun Kumar ;
Kumar, Vijay ;
Pal, Rudrajeet ;
Wang, Lichuan ;
Chen, Yan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 154
[2]   Smart Virtual Product Development (SVPD) to Enhance Product Manufacturing in Industry 4.0 [J].
Ahmed, Muhammad Bilal ;
Sanin, Cesar ;
Szczerbicki, Edward .
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019), 2019, 159 :2232-2239
[3]  
Aktas F., 2016, Duzce Universitesi Bilim ve Teknoloji Dergisi, V4, P37
[4]   Procedure for defining the system of objectives in the initial phase of an industry 4.0 project focusing on intelligent quality control systems [J].
Albers, Albert ;
Gladysz, Bartosz ;
Pinner, Tobias ;
Butenko, Viktoriia ;
Stuermlinger, Tobias .
SIXTH INTERNATIONAL CONFERENCE ON CHANGEABLE, AGILE, RECONFIGURABLE AND VIRTUAL PRODUCTION (CARV2016), 2016, 52 :262-267
[5]   Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems [J].
Alcacer, V. ;
Cruz-Machado, V. .
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2019, 22 (03) :899-919
[6]   Industry 4.0: The use of simulation for human reliability assessment [J].
Angelopoulou, Anastasia ;
Mykoniatis, Konstantinos ;
Boyapati, Nithisha Reddy .
INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING (ISM 2019), 2020, 42 :296-301
[7]  
[Anonymous], 2011, Real-Time Systems, DOI [10.1007/978-l-4419-8237-7_13, DOI 10.1007/978-L-4419-8237-7_13, DOI 10.1007/978-1-4419-8237-7]
[8]   Towards Industry 4.0 Mapping digital technologies for supply chain management-marketing integration [J].
Ardito, Lorenzo ;
Petruzzelli, Antonio Messeni ;
Panniello, Umberto ;
Garavelli, Achille Claudio .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2019, 25 (02) :323-346
[9]   A survey of augmented reality [J].
Azuma, RT .
PRESENCE-VIRTUAL AND AUGMENTED REALITY, 1997, 6 (04) :355-385
[10]   Investigating the Relationship between Industry 4.0 and Productivity: A Conceptual Framework for Malaysian Manufacturing Firms [J].
Backhaus, Simon Karl Hubert ;
Nadarajah, Devika .
FIFTH INFORMATION SYSTEMS INTERNATIONAL CONFERENCE, 2019, 161 :696-706