Abstract

The innovation-driven Industry 5.0 leads us to consider humanity in a prominent position as the center of the manufacturing field even more than Industry 4.0. This pushes us towards the hybridization of manufacturing plants promoting a full collaboration between humans and robots. However, there are currently very few workplaces where effective Human–Robot Collaboration takes place. Layout designing plays a key role in assuring safe and efficient Human–Robot Collaboration. The layout design, especially in the context of collaborative robotics, is a complex problem to face, since it is related to safety, ergonomics, and productivity aspects. In the current work, a Knowledge-Based Approach (KBA) is adopted to face the complexity of the layout design problem. The framework resulting from the KBA allows for developing a modeling paradigm that enables us to define a streamlined approach for the layout design. The proposed approach allows for placing resource within the workplace according to a defined optimization criterion, and also ensures compliance with various standards. This approach is applied to an industrial case study in order to prove its feasibility. A what-if analysis is performed by applying the proposed approach. Changing three control factors (i.e., minimum distance, robot speed, logistic space configuration) on three levels, in a Design of Experiments, 27 layout configurations of the same workplace are generated. Consequently, the inputs that most affect the layout design are identified by means of an Analysis of Variance (ANOVA). The results show that only one layout is eligible to be the best configuration, and only two out of three control factors are very significant for the designing of the HRC workplace layout. Hence, the proposed approach enables the designing of standard compliant and optimized HRC workplace layouts. Therefore, several alternatives of the layout for the same workplace can be easily generated and investigated in a systematic manner.

Highlights

  • The innovative paradigm of “Industry 5.0” complements the existing “Industry 4.0” approach by counting on a human-centric industry

  • The approach considers the relationship between minimum distances and some ergonomic aspects: the minimum distance is greater than the safety threshold value, whereas it is less than the maximum load carrying distance defined as a function of the carried cumulative mass

  • This paper presents a streamlined approach aimed at designing a collaborative workplace layout

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Summary

Introduction

The innovative paradigm of “Industry 5.0” complements the existing “Industry 4.0” approach by counting on a human-centric industry. Despite the significant strength of automation, there are still several applications where human presence is essential In such a context, Human–Robot Collaboration (HRC) is elevated to an enabling solution for mass customization that needs a high degree of flexibility [6]. The collection, study, organization, and exploitation of the knowledge around HRC allowed for creating a strong basis framework This rigorously identifies all the elements of the collaborative workplace and defines relationships among them. Via KBA and the paradigm, it is possible to understand and visualize how all the elements interact each other and which output a certain configuration that can be produced Based on these considerations, we propose a layout design approach composed of four main steps for optimal positioning of the resources. The aforementioned steps are detailed below, following an overview of the state of art

State of Art
A Knowledge-Based Approach for the Investigation of Collaborative Workplaces
Knowledge Acquisition
Knowledge Management
F WS P SP SD B
Modeling Paradigm
Elements of Modeling Paradigm
The Relationship among the Elements of the Paradigm and the Layout Designing
Problem formalization
Case Study
Collaborative Workplace for Inspection of Welded Parts
What-If Analysis
Summary
Objective
Results and Discussion
Conclusions
Full Text
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