Industry 4.0: Some Challenges and Opportunities for Reliability Engineering

2019 ◽  
Vol 2 (1) ◽  
pp. 23-34
Author(s):  
Mohammad Ali Farsi ◽  
Enrico Zio

According to the development of Industry 4.0 and increase the integration of digital, physical and human worlds, reliability engineering must evolve for addressing the existing and future challenges about that. In this paper, the principle of Industry 4.0 is presented and some of these challenges and opportunities for reliability engineering are discussed. New directions for research in system modeling, big data analysis, health management, cyber-physical system, human-machine interaction, uncertainty, jointly optimization, communication, and interfaces are proposed. Each topic can be investigated individually, but this paper summarizes them and prepared a vision about reliability engineering for consideration and discussion by the interested scientific community.

2021 ◽  
pp. 129-161
Author(s):  
Benedikt G. Mark ◽  
Erwin Rauch ◽  
Dominik T. Matt

AbstractIn the context of digitalization and Industry 4.0, the world of work is changing comprehensively. Smaller lot sizes and increasing variability of products in the modern industrial production present new challenges for operators working in manual assembly. Industrial assistance systems help the worker during these production tasks to enhance their capabilities. The development of these systems is not only characterized by questions of the potential feasibility of new technical systems but also by the possibilities of a closer cooperation between humans and machines with the aim to synergize the outstanding abilities of humans with the special features of machines to bring together the best from both worlds. This chapter presents solutions for human–machine interaction and automation and delivers insight into different possibilities to enhance the various types of operator’s skills in industrial assembly. With this knowledge, each worker can be individually equipped with suitable supporting systems in order to be best prepared for future challenges in the daily production.


Author(s):  
Robert Lawrence Wichmann ◽  
Boris Eisenbart ◽  
Kilian Gericke

AbstractWith the rapid success of the digital enterprises in the 21st Century, industrial manufacturing is expected to be approaching the fourth industrial revolution, coined Industry 4.0 (I4.0). The instrumental technology that will drive this evolution is the integration of the physical and digital factory into one cyber physical system. There is consensus among academics and industry alike that there will be an integral paradigm shift in how offerings will be developed and manufactured. While there is much confidence that the future factory will have unprecedented capabilities to satisfy complex customer demands, there is little agreement on how individual organisations can utilise these trends. This paper presents a literature review identifying reoccurring themes and trends of I4.0 and their expected effect on future manufacturing. Central characteristics, challenges and opportunities are identified and discussed. The findings can provide support in developing actionable strategies for industry to direct I4.0 endeavours.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Li Zhang ◽  
Geng Liu ◽  
Bing Han ◽  
Zhe Wang ◽  
Tong Zhang

Human motion intention recognition is a key to achieve perfect human-machine coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as a bioelectrical signal, generates prior to the corresponding motion and reflects the human motion intention directly. Thus, a better human-machine interaction can be achieved by using sEMG based motion intention recognition. In this paper, we review and discuss the state of the art of the sEMG based motion intention recognition that is mainly used in detail. According to the method adopted, motion intention recognition is divided into two groups: sEMG-driven musculoskeletal (MS) model based motion intention recognition and machine learning (ML) model based motion intention recognition. The specific models and recognition effects of each study are analyzed and systematically compared. Finally, a discussion of the existing problems in the current studies, major advances, and future challenges is presented.


2020 ◽  
Vol 17 (8) ◽  
pp. 903-915
Author(s):  
Shahryar SOROOSHIAN ◽  
Shrikant PANIGRAHI

The leap of technology has led to a paradigm shift called the “industrial revolution”. Industry 4.0 is the fourth industrial revolution which implemented the philosophy of cyber-physical systems, internet and future-oriented technologies, and smart systems with promoted human-machine interaction paradigms. The emergence of Industry 4.0 was introduced to the world as a new trend to improve working surroundings in industries and solve the problems faced by the industries. There is a limited information about Industry 4.0 and not every person understands the real meaning of Industry 4.0. Thus, the objective of this review paper is to identify the possible impacts of Industry 4.0 on manufacturing industries which will encourage more organizations to adopt Industry 4.0.


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