Transdisciplinary system of systems development in the trend to X4.0 for intelligent manufacturing

被引:5
作者
Mo, John P. T. [1 ]
Beckett, Ronald C. [2 ]
机构
[1] RMIT Univ, Sch Engn, Melbourne, Vic, Australia
[2] Swinburne Univ, Fac Business & Law, Melbourne, Vic, Australia
基金
欧盟地平线“2020”;
关键词
Industry; 4; 0; Water; Quality; system of systems; societal challenge; complex systems; transdisciplinary systems; INDUSTRY; 4.0;
D O I
10.1080/0951192X.2021.1992663
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Since the announcement of Industry 4.0 in 2012, multiple variants of this industry paradigm have emerged and built on the common platform of Internet of Things. Engineering-driven industries such as aerospace and automotive and process-driven industries such as water treatment and food processing are influenced similarly trying to adapt to the so-called fourth generation (4.0) paradigm. In essence, the main outcomes of these X4.0 adaptations (where X can be any one of Quality, Water, Procurement, Gas or a combination of industries) are the facilitation of communications between socio-technical systems and the accumulation large amount of data. As the X4.0 paradigms are researched, defined, developed and applied, many real-world examples in a variety of industries have demonstrated a lack of system of systems design consideration. Participants are inhibited from working seamlessly and lag behind events triggered in the hostile real-world internet environment. This paper examines, from a high-level system of systems perspective, how transdisciplinary engineering can create a model of evolutionary X4.0 and how intelligent manufacturing can be developed towards X4.0 within the transdisciplinary modelling framework.
引用
收藏
页码:21 / 35
页数:15
相关论文
共 54 条
[1]   An industrial Internet of things based platform for context-aware information services in manufacturing [J].
Alexopoulos, Kosmas ;
Sipsas, Konstantinos ;
Xanthakis, Evangelos ;
Makris, Sotiris ;
Mourtzis, Dimitris .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2018, 31 (11) :1111-1123
[2]   A concept for context-aware computing in manufacturing: the white goods case [J].
Alexopoulos, Kosmas ;
Makris, Sotiris ;
Xanthakis, Vangelis ;
Sipsas, Konstantinos ;
Chryssolouris, George .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2016, 29 (08) :839-849
[3]   Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs [J].
Annosi, Maria Carmela ;
Brunetta, Federica ;
Monti, Alberto ;
Nati, Francesco .
COMPUTERS IN INDUSTRY, 2019, 109 :59-71
[4]  
Aziz Fariz, 2019, International Journal of Agile Systems and Management, V12, P180
[5]  
Beckett, 2018, ENG OPERATIONS SYSTE, P269
[6]  
Beckett RC, 2019, P 14 MIDW ASS INF SY
[7]   Transdisciplinary Innovation: Connecting Ideas from Professional and Community Networks [J].
Beckett, Ronald C. ;
Vachhrajani, Hardik .
TRANSDISCIPLINARY ENGINEERING: A PARADIGM SHIFT, 2017, 5 :737-744
[8]   Procurement 4.0: factors influencing the digitisation of procurement and supply chains [J].
Bienhaus, Florian ;
Haddud, Abubaker .
BUSINESS PROCESS MANAGEMENT JOURNAL, 2018, 24 (04) :965-984
[9]   Transdisciplinary Engineering Design Education: Ontology for a Generic Product Design Process [J].
Butt, Mehwish ;
Sharunova, Alyona ;
Storga, Mario ;
Khan, Yasir Imtiaz ;
Qureshi, Ahmed Jawad .
28TH CIRP DESIGN CONFERENCE 2018, 2018, 70 :338-343
[10]   Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union [J].
Castelo-Branco, Isabel ;
Cruz-Jesus, Frederico ;
Oliveira, Tiago .
COMPUTERS IN INDUSTRY, 2019, 107 :22-32