A knowledge-based approach to the layout optimization of human–robot collaborative workplace

Rega, Andrea; Vitolo, Ferdinando; Marino, Castrese Di; Patalano, Stanislao

doi:10.1007/s12008-020-00742-0

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Malik & Brem (2021) proposed a framework to use digital twins to simulate collaborative assembly lines. Rega et al (2021) developed a knowledge-based approach to optimize the productivity of assembly lines. Sordan et al (2022) used a case study to evaluate the workers' idle time in an assembly line balancing problem.…”

Section: Productivitymentioning

confidence: 99%

“…Xu et al (2021), by referring to ISO/TS 15066, ensure the safety of workers by reducing the speed of cobots regarding the distance between worker and cobot. Rega et al (2021) developed a knowledge-based approach to optimize the productivity and safety of assembly lines. Lee et al (2022), Liao et al (2023), andDeniz &Ozcelik (2023) proposed a mathematical model to safety of human worker in a hazardous disassembly environment.…”

Section: Safetymentioning

confidence: 99%

“…With the introduction of collaborative robots, it is necessary to design tasks that are more suitable for human-robot collaboration (Rega et al, 2021). This means considering the unique capabilities and limitations of both humans and robots, and designing tasks that can be performed safely and efficiently by both (Gualtieri et al, 2020b).…”

Section: Task Designing and Classificationmentioning

confidence: 99%

See 2 more Smart Citations

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

et al. 2023

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Nowadays, considering the constant changes in customers’ demands, manufacturing systems tend to move more and more towards customization while ensuring the expected reactivity. In addition, more attention is given to the human factors to, on the one hand, create opportunities for improving the work conditions such as safety and, on the other hand, reduce the risks brought by new technologies such as job cannibalization. Meanwhile, Industry 4.0 offers new ways to facilitate this change by enhancing human–machine interactions using Collaborative Robots (Cobots). Recent research studies have shown that cobots may bring numerous advantages to manufacturing systems, especially by improving their flexibility. This research investigates the impacts of the integration of cobots in the context of assembly and disassembly lines. For this purpose, a Systematic Literature Review (SLR) is performed. The existing contributions are classified on the basis of the subject of study, methodology, methodology, performance criteria, and type of Human-Cobot collaboration. Managerial insights are provided, and research perspectives are discussed.

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Section: Productivitymentioning

confidence: 99%

Section: Safetymentioning

confidence: 99%

Section: Task Designing and Classificationmentioning

confidence: 99%

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Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

et al. 2023

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“…Xiao and coauthors [7] proposed a knowledge-based system to improve the efficiency of knowledge acquisition, management, and maintenance of the expert system of rice-wheat combine harvester. Rega and coauthors [8] proposed a knowledge-based approach to the layout optimization of the human-robot collaborative workplace. The study helped the designers in the optimization of the layout of human-robot collaborative workplaces in standard compliance.…”

Section: Introductionmentioning

confidence: 99%

A Lean Knowledge-Based Decision Support System for Cost Estimation in the Foundry Industry

Khan,

Sajid,

Wasim

et al. 2023

Braz. arch. biol. technol.

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Precise cost estimation is the first and crucial step for decision-makers at the planning stage of product development. Due to the unavailability of knowledge and the complex nature of manufacturing processes, materials, and product designs, the selection of suitable alternatives based on estimated cost has become more challenging. The purpose of this paper is to present the development of a knowledge-based system (KBS) for assisting decision-makers in identifying suitable alternatives for precise cost estimation in a mistake-proof environment. The system architecture is comprised of three layers namely the database layer, application layer, and end-user layer, and developed using knowledge-based engineering, set-based concurrent engineering, and poke-yoke as lean enabling approaches. Based on the captured knowledge through industrial investigation and experimentation, a real-time system application was developed using C# language and validated using a real case study in the foundry industry using sand casting as the manufacturing process. It ensured the validity of the developed system. KBS provides an extensive tool to decision-makers for accurate decision-making at the design stage using cost and other associated values. Further, it facilitates the practitioners of every business sector to capture, save, and use the identified knowledge for problem-solving in the future. HIGHLIGHTS• The development of a knowledge-based system has been presented.• The proposed system assists the designer in decision making at planning stage.• It supports the foundry process practitioners (using sand casting process) of manufacturing sector of Pakistan.• The proposed system is validated through industrial case study under lean environment.

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An interactive graph-based tool to support the designing of human–robot collaborative workplaces

Di Marino,

Rega,

Pasquariello

et al. 2023

Int J Interact Des Manuf

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In the context of Industry 4.0 and Industry 5.0, the introduction of collaborative workplaces, where humans and robots work together, represents a growing trend to improve the productivity, adaptability, and flexibility of production plants. Indeed, human–robot collaboration (HRC) is a very deepened topic in the scientific community and the designing of collaborative workplaces is a challenging issue due to the high level of complexity and multidisciplinary of its features. This work tackles the complexity of collaborative workplaces and proposes a structured framework to support strategic decisions in designing. A multi-level designing framework is proposed as a supporting tool for designers. Within five domains of collaborative robotics, the elements of a collaborative workplace are identified and proposed in a framework in order to better consider human safety and working conditions during the designing process. A decomposition matrix and an adjacency matrix are used to develop a multi-level designing workflow. Finally, an interactive tool is presented, named “Smart Graph Interface” (SGI), to read and exploit the contents of the framework. The SGI is applied to three case studies from the literature, to spread out principal outcomes in terms of applicability and robustness.

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A knowledge-based approach to the layout optimization of human–robot collaborative workplace

Cited by 8 publications

References 14 publications

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

Collaborative robots in manufacturing and assembly systems: literature review and future research agenda

A Lean Knowledge-Based Decision Support System for Cost Estimation in the Foundry Industry

An interactive graph-based tool to support the designing of human–robot collaborative workplaces

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