scholarly journals Industry 4.0: Hand Recognition on Assembly Supervision Process

2021 ◽  
Vol 13 (1) ◽  
pp. 15-25
Author(s):  
Riska Analia ◽  
Andika Putra Pratama ◽  
Susanto Susanto

In the assembly industry, the process of assembling components is very important in order to produce a quality product. Assembly of components should be carried out sequentially based on the standards set by the company. For companies that still operate the assembly process manually by employee, sometimes errors occur in the assembly process, which can affect the quality of production. In order to be carried out the assembly process according to the procedure, a system is needed that can detect employee hands when carrying out the assembly process automatically. This study proposes an artificial intelligence-based real-time employee hand detection system. This system will be the basis for the development of an automatic industrial product assembly process to welcome the Industry 4.0. To verify system performance, several experiments were carried out, such as; detecting the right and left hands of employees and detecting hands when using accessories or not. From the experimental results it can be concluded that the system is able to detect the right and left hands of employees well with the resulting FPS average of 15.4.

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 30
Author(s):  
Mansoor Ahmed Soomro ◽  
Mohd Hizam-Hanafiah ◽  
Nor Liza Abdullah ◽  
Mohd Helmi Ali ◽  
Muhammad Shahar Jusoh

Industry 4.0 revolution, with its cutting-edge technologies, is an enabler for businesses, particularly in reducing the cost and improving the productivity. However, a large number of organizations are still too in their infancy to leverage the true potential of Industry 4.0 and its technologies. This paper takes a quantitative approach to reveal key insights from the companies that have implemented Industry 4.0 technologies. For this purpose, 238 technology companies in Malaysia were studied through a survey questionnaire. As technology companies are usually the first in line to adopt new technologies, they can be studied better as leaders in adopting the latest technologies. The findings of this descriptive study surfaced an array of insights in terms of Industry 4.0 readiness, Industry 4.0 technologies, leadership, strategy, and innovation. This research paper contributes by providing 10 key empirical insights on Industry 4.0 that can be utilized by managers to pace up their efforts towards digital transformation, and can help the policymakers in drafting the right policy to drive the digital revolution.


2021 ◽  
Vol 3 ◽  
pp. 27
Author(s):  
Valérie Rocchi ◽  
Daniel Brissaud

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation models have been identified. Industry practitioners could design their digital transformation project organisation and strategy according to the right model.


POINT ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 83-94
Author(s):  
Agung Risaldo

Correctional as an institution that aims to form prisoners and inmates become the whole person, In its implementation implement two coaching programs which are the first coaching personality and the second coaching self-reliance development. In the development of self-reliance in correctional institutions in Indonesia, implementing programs aimed to improve the ability of the prisoners. Prisoners are trained to make a product whether it is goods or services, ranging from handicrafts, bakery, laundry, and Barber. But in the implementation of entrepreneurship programs such as handicrafts encountered a dead end because of not finding the right market. It takes a marketing strategy that is able to increase the selling power of the resulting product. Increase from product quality, product sales price, product distribution, and product promotion. The journal's writing aims to determine the right marketing strategy to increase the sales of convict production. The journal's writing uses a library of libraries aimed at identifying the right marketing strategy to increase the sales of convict production, and to determine the right strategy for product quality improvement.


1971 ◽  
Vol 33 (2) ◽  
pp. 603-610
Author(s):  
A. V. Churchill

3 experiments were performed to measure the possible effect of bilateral kinesthetic difference (BKD) on tactual-kinesthetic judgment of size when the stimulus objects were simultaneously presented to the right and left hands for comparison. A BKD was not demonstrated.


2018 ◽  
Vol 48 (2) ◽  
pp. 238-254 ◽  
Author(s):  
Maximiliane Wilkesmann ◽  
Uwe Wilkesmann

Purpose The rise of new information and communication technologies forms the cornerstone for the future development of work. The term Industry 4.0 refers to the vision of a fourth industrial revolution that is based on a network of autonomous, self-controlling, self-configuring, knowledge-based, sensor-based and spatially distributed production resources. All in all, different forms of the application of the Industry 4.0 concept can be observed, ranging from autonomous logistic transport systems drawn upon the idea of swarm intelligence to smart knowledge management systems. This paper aims to develop a theoretical framework to analyze different applications of Industry 4.0 on an organizing continuum. The general research questions are: What forms of organizing digitalized work lead to the reproduction of routines, and what forms foster innovation within Industry 4.0? The authors thus analyze the consequences of different forms of organizing work on workers’ perceptions and the results of the working process. Design/methodology/approach This paper provides case studies for different stages of the organizing continuum in the context of Industry 4.0. The cases and a further analysis of all 295 funded projects are based on the Platform Industry 4.0 Map, which is part of the Industry 4.0 initiative of the German Federal Ministry of Economic Affairs and Energy and the German Federal Ministry of Education and Research. The consequences for people acting in such organizational and digitally supported structures are discussed. Findings A variety of applications of Industry 4.0 can be found. These applications mainly vary in the dimensions of the degree of formalization, the location of control authority, the location of knowledge and the degree of professionalization. At the right side of the organizing continuum, the digitalization organizes a work environment that supports highly qualified humans. They have broad leeway and a high degree of autonomy to design and create innovative forms of digitalization for tomorrow. At the left side of the organizing continuum, Industry 4.0 structures a work environment with narrow leeway, a low degree of autonomy and a top-down structure of control authority predetermined by digital applications. In this case, employees fill the gaps the machines cannot handle. Research limitations/implications As the paper focuses on Industry 4.0 developments in Germany, the comparability with regard to other countries is limited. Moreover, the methodological approach is explorative, and broader quantitative verification is required. Specifically, future research could include quantitative methods to investigate the employees’ perspective on Industry 4.0. A comparison of Industry 4.0 applications in different countries would be another interesting option for further research. Practical implications This paper shows that applications of Industry 4.0 are currently at a very early stage of development and momentarily organize more routines than innovations. From a practical point of view, professional vocational and academic training will be a key factor for the successful implementation of digitalization in future. A joint venture of industry and educational institutions could be a suitable way to meet the growing demand for qualified employees from the middle to the right-hand of the organizing continuum in the context of Industry 4.0. Social implications Industry 4.0 is designed by men, and therefore, humans are responsible for whether the future work situation will be perceived as supportive or as an alienated routine. Therefore, designers of Industry 4.0, as well as politicians and scientists, absolutely must take the underlying outcomes of digitalized work into account and must jointly find socially acceptable solutions. Originality/value This paper provides a promising avenue for future research on Industry 4.0 by analyzing the underlying organizational structures of digital systems and their consequences for employees. Moreover, the paper shows how Industry 4.0 should be organized to simply reproduce routines or to support innovation.


2002 ◽  
Vol 17 (3) ◽  
pp. 121-127
Author(s):  
Nikolaus Ell

The essential requisites for successful operative treatment of hands affected by rheumatoid arthritis are a thorough knowledge of the disease and experience in the applicable specialized hand surgical techniques. In musicians, decisions about the indications for surgery, the particular technique to be used, and the disadvantages of each possible procedure require additional basic knowledge about musical instruments and how they are played. This paper provides an overview of the changes in the hand and their effects on musicians in the early stages and late stages of rheumatoid arthritis as well as the special considerations that must be taken into account for operative therapy in both the early and late stages of the disease. The choice of operative procedure is often dependent on the instrument played and may vary between the right and left hands, or even from one finger to the next. If at all possible, the anticipated results of an operation should be simulated and checked preoperatively by using static or dynamic testsplints.


Author(s):  
Luis Rosa ◽  
Miguel Borges de Freitas ◽  
João Henriques ◽  
Pedro Quitério ◽  
Filipe Caldeira ◽  
...  

In recent years, IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected devices. This IoT (internet of things)-centric IACS paradigm, which is at the core of the Industry 4.0 concept, expands the infrastructure boundaries beyond the aggregated-plant, mono-operator vision, being dispersed over a large geographic area. From a cybersecurity-centric perspective, the distributed nature of modern IACS makes it difficult not only to understand the nature of incidents but also to assess their progression and threat profile. Defending against those threats is becoming increasingly difficult, requiring orchestrated and collaborative distributed detection, evaluation, and reaction capabilities beyond the scope of a single entity. This chapter presents the Intrusion and Anomaly Detection System platform architecture that was designed and developed within the scope of the ATENA H2020 project, to address the specific needs of distributed IACS while providing (near) real-time cybersecurity awareness.


2021 ◽  
pp. 398-407
Author(s):  
Mauricio-Andres Zamora-Hernandez ◽  
Jose Andrez Chaves Ceciliano ◽  
Alonso Villalobos Granados ◽  
Jose Garcia-Rodriguez ◽  
Jorge Azorin-Lopez

2022 ◽  
pp. 231-246
Author(s):  
Swati Bansal ◽  
Monica Agarwal ◽  
Deepak Bansal ◽  
Santhi Narayanan

Artificial intelligence is already here in all facets of work life. Its integration into human resources is a necessary process which has far-reaching benefits. It may have its challenges, but to survive in the current Industry 4.0 environment and prepare for the future Industry 5.0, organisations must penetrate AI into their HR systems. AI can benefit all the functions of HR, starting right from talent acquisition to onboarding and till off-boarding. The importance further increases, keeping in mind the needs and career aspirations of Generation Y and Z entering the workforce. Though employees have apprehensions of privacy and loss of jobs if implemented effectively, AI is the present and future. AI will not make people lose jobs; instead, it would require the HR people to upgrade their skills and spend their time in more strategic roles. In the end, it is the HR who will make the final decisions from the information that they get from the AI tools. A proper mix of human decision-making skills and AI would give organisations the right direction to move forward.


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