Development of a new framework for implementing industry 4.0 in companies

被引:18
作者
Dossou, Paul-Eric [1 ,2 ]
机构
[1] Icam Paris Senart, 34 Points Vue, F-77127 Lieusaint, France
[2] IFSTTAR AME SPLOTT, 14-20 Boulevard Newton, F-77420 Champs Sur Marne, France
来源
29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING | 2019年 / 38卷
关键词
sustainability; dispatching flow optimization; decision aided tool; machine learning; expert system;
D O I
10.1016/j.promfg.2020.01.072
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Globalization introduces incertitude for the future of companies. They could disappear more quickly for economic reasons or increase exponentially their position on the market (profit, turnover). Indeed, Logistics and task force costs are important for implementing a new factory in a country. Then, the concurrence is unequal for European and developed countries. Industry of the future appears in this context as a new method based on new technologies deployment (and organization) for improving company performance. Many concepts are being developed in the frame of "factory of the future". Most of them, insist only on new technology integration everywhere in manufacturing processes or on company supply chains. Thus, industrial problems could be solved very quickly by using machines, robots, cobots, RFID, but also internet of thing (IoT), decision aided tools, etc. Some of them integrate social aspects in their framework. But, none of them are based on sustainability in future changes. The main objective of this new framework is to put this sustainability as the kernel of future company evolutions in the frame of 'Industry 4.0'. This paper will focus on concepts of this new factory framework for defining changes and steps in the frame of factory of the future. Based on sustainability (social, societal and environmental dimensions), and in addition to new technologies and organization, flexibility in company position would be added as one of main development factors. After presenting concepts and formalisms of this new framework and how they could be used on a company, a detailed illustration example will be shown for validating concepts elaborated. In this paper, artificial intelligence (machine learning, expert systems, multi-agent systems) will also be used for defining the structure of a decision aided tool in order to optimize company dispatching flows. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:573 / 580
页数:8
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