Finding Trends in Human-Automation Interaction Research in Order to Formulate a Cognitive Automation Strategy for Final Assembly

Fast-Berglund, Åsa; Mattsson, Sandra; Bligård, Lars-Ola

doi:10.15226/2473-3032/1/2/00111

Cited by 11 publications

(5 citation statements)

References 31 publications

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“…To begin with, vigour is set up utilizing a subjective levels grouping and after that, the thought is stretched out to an issue that offers a bland articulation, to permit the particular as far as any estimation of strength in the range M s ∈[1.4, 2.0]. In addition, considering the execution/power exchange off, the precision of the guaranteed strength is a point that has been checked, accomplishing level bends for the subsequent esteems [15]. To put it plainly, both methodologies are two of the primary commitments exhibited in this examination article.…”

Section: Resultsmentioning

confidence: 99%

Combined System and Performance Trade-Off Autotuning for PID Controllers

A¹,

Tupate²,

Jenifer³

et al. 2018

IJARA

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Control system has been widely used in various fields. The angle error and turning angles are the main factors that affect the accuracy performance of the interfacing system. It is important to notice that these control loop parameters error cannot be eliminated from the interaction system completely. Within these possibilities, the control system's performance and the robustness must be considered as important. The aim is to provide solutions and improve the general behavior of a control system, with a Single-Degree-of-Freedom (1DoF) Proportional-Integral-Derivative (PID) controller structure. Even after calibration, these errors still exist and will be fluctuated during the operating system running. This paper proposed a new method of finding the best position and orientation for turning to perform a specific working path based on the current accuracy capacity of the control loop system. By analyzing the system forward/inverse kinematics and the angle error sensitivity of different combination in the PID system, a new evaluation formulation is established for combined operation and performance trade-off autotuning methods for PID controllers. The accomplishment of the claimed robustness is checked. The influence of different position and orientation on the movement accuracy of the end effector has been verified by experiments and discussed thoroughly.

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Section: Resultsmentioning

confidence: 99%

Combined System and Performance Trade-Off Autotuning for PID Controllers

A¹,

Tupate²,

Jenifer³

et al. 2018

IJARA

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“…They propose a survey about human-machine cooperation in assembly systems, mapping the available technologies supporting the cooperation. Fast-Berglund et al [35] explore the relevant features of Industry 4.0 in the assembly field and perform a literature review of the most relevant research contributions. The selected papers are classified according to the topic they address is relevant to the human perspective, the automation perspective or the integrated human-automation perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Automation Assembly Systems in the Industry 4.0 Era: A Reference Framework and Full–Scale Prototype

et al. 2021

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Industry 4.0 emerged in the last decade as the fourth industrial revolution aiming at reaching greater productivity, digitalization and operational efficiency standard. In this new era, if compared to automated assembly systems, manual assembly systems (MASs) are still characterized by wide flexibility but poor productivity levels. To reach acceptable performances in terms of both productivity and flexibility, higher automation levels are required to increase the skills and capabilities of the human operators with the aim to design next-generation assembly systems having higher levels of adaptivity and collaboration between people and automation/information technology. In the current literature, such systems are called adaptive automation assembly systems (A3Ss). For A3Ss, few design approaches and industrial prototypes are available. This paper, extending a previous contribution by the Authors, expands the lacking research in the field and proposes a general framework guiding toward A3S effective design and validation. The framework is applied to a full-scale prototype, highlighting its features together with the technical- and human-oriented improvements arising from its adoption. Specifically, evidence from this study show a set of benefits from adopting innovative A3Ss in terms of reduction of the assembly cycle time (about 30%) with a consequent increase of the system productivity (about 45%) as well as relevant improvements of ergonomic posture indicators (about 15%). The definition of a general framework for A3S design and validation and the integration of the productivity and ergonomic analysis of such systems are missing in the current literature, representing an element of innovation. Globally, this research paper provides advanced knowledge to guide research, industrial companies and practitioners in switching from traditional to advanced assembly systems in the emerging Industry 4.0 era matching current industrial and market features.

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“…They pay attention to the role of technology as well as the work context where the technology is implemented to great effect. For example, Fast-Berglund (2016) and Mattsson (2018) argue that the development of tools must go from a technology-centred approach to a human-centred design in order to fit the capability of the operators, yet most research on automation in manufacturing systems do not focus on the operators' work conditions. This is not surprising, as studies on technology and work are typically more concerned with the technological design aspects rather than the learning and adaptation of the workforce (Fast-Berglund, 2016).…”

Section: Competence: Related Workmentioning

confidence: 99%

“…For example, Fast-Berglund (2016) and Mattsson (2018) argue that the development of tools must go from a technology-centred approach to a human-centred design in order to fit the capability of the operators, yet most research on automation in manufacturing systems do not focus on the operators' work conditions. This is not surprising, as studies on technology and work are typically more concerned with the technological design aspects rather than the learning and adaptation of the workforce (Fast-Berglund, 2016). Rødseth et al (2018) argue that despite the range of technological solutions available today for operators, there is still a need to support the operators in appropriate ways.…”

Section: Competence: Related Workmentioning

confidence: 99%

Workplace work-integrated learning: supporting industry 4.0 transformation for small manufacturing plants by reskilling staff

Rangraz

Pareto

2020

International Journal of Lifelong Education

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Small manufacturing plants nowadays need to consider Industry 4.0 to stay competitive in the market. Among the challenges regarding the transformation towards Industry 4.0 are requirements to re-skill the staff for the new work environment. The staff have to either adapt to the workplace transformation brought by digitalisation, automation and robotics or face layoffs. This paper reports on a transformation process towards Industry 4.0 which was conducted in a small manufacturing enterprise where automated assembly line, industrial robots, codes and algorithms have replaced the previous manual set-up. In order to extend the learning models from educational to workplace settings, we investigated how a small manufacturing plant tackles the challenge of transformation towards Industry 4.0 with existing staff. We examined the transformation process through non-participant observations and 17 interviews during the initiation phase, and before, during, and after the new robotic system was launched. Based on the empirical study, we propose (a) a transformation method with respect to the workplace and adult learning scholarship and (b) a taxonomy of work-integrated learning activities to support the learning needed to manage transformations towards industry 4.0.

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Finding Trends in Human-Automation Interaction Research in Order to Formulate a Cognitive Automation Strategy for Final Assembly

Cited by 11 publications

References 31 publications

Combined System and Performance Trade-Off Autotuning for PID Controllers

Combined System and Performance Trade-Off Autotuning for PID Controllers

Adaptive Automation Assembly Systems in the Industry 4.0 Era: A Reference Framework and Full–Scale Prototype

Workplace work-integrated learning: supporting industry 4.0 transformation for small manufacturing plants by reskilling staff

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