Industry 4.0 and prospects of circular economy: a survey of robotic assembly and disassembly

Daneshmand, Morteza; Noroozi, Fatemeh; Corneanu, Ciprian A.; Mafakheri, Fereshteh; Fiorini, Paolo

doi:10.1007/s00170-021-08389-1

Cited by 37 publications

(10 citation statements)

References 141 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, as the human operator works closely with the robot, the human worker's discomfort may increase [188] and there could be high risks of collision between human operators and robots. In the domain of human-robot interaction (HRI) [161], [189] and remanufacturing [190], human safety has been considered in the design and operation of a collaborative work cell, including the prevention of accidents due to unexpected robot motions [191] and health problems from hazardous work environments [34]. Comparing the human operator's capability to a robotic system, the performance of manual assemblies is affected by safety considerations and ergonomic factors [192].…”

Section: Bringing Hrc To Disassembly: Human Factors and Human-robotic...mentioning

confidence: 99%

Task allocation and planning for product disassembly with human–robot collaboration

Lee

Behdad

Liang

et al. 2022

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

Section: Bringing Hrc To Disassembly: Human Factors and Human-robotic...mentioning

confidence: 99%

Task allocation and planning for product disassembly with human–robot collaboration

Lee

Behdad

Liang

et al. 2022

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

“…The second focuses on mass customization (PAWAR; LAW; MAPLE, 2016), with robots calculating the best design solutions, operational performance, energy efficiency and maintenance (DANESHMAND et al, 2022;ZHU et al, 2020). The third is related to the establishment of security protocols, converging on the demand for roboticized processes and the safety of human work (Ronzoni et al, 2021).…”

Section: Autonomous Robotsmentioning

confidence: 99%

Industry 4.0: technical qualifications for the fourth industrial revolution in Brazil

Villalba¹,

Peinado

Vianna³

et al. 2022

GEPROS

View full text Add to dashboard Cite

Purpose – To research and present the manner in which the technical qualifications needed for Industry 4.0 (I4.0) are addressed by graduate courses studied and manufacturing companies in Brazil. Theoretical framework – New technical requirements linked to the new I4.0 scenario imply the need to provide new forms of training for the workforce. This requirement has become important both for workers to remain competitive in the job market, as well as for the organizations themselves within the business market. Design/methodology/approach – A document review of the syllabuses and subjects of 24 lato sensu graduate courses studied and 56 job vacancies related to I4.0, which classifies this study as a time-restricted and exploratory study. Findings – The results show that, of the nine technological categories of I4.0 researched, greater importance is placed on Big Data (58%) and integrated systems (36%) by companies, and in graduate courses studied, importance is placed on Big Data (29%), the Internet of Things (14%), integrated systems (13%) and information security (12%). Research, practical and social implications – The main practical and social implications of this study are related to a need for HEIs to discuss a common set of knowledge with businesses regarding various areas of training. Originality/value – This study contributes to the identification of the skills needed by workers in I4.0 to warn company HR departments regarding the need for training in these skills, and the need in turn for companies to be aware of the complexity that I4.0 represents. Keywords - Industry 4.0; Technology I4.0; Jobs; Education

show abstract

“…Industry 4.0 propels the manufacturing industries away from mass production and toward mass customization to meet customers’ needs with multiple product variants (Daneshmand et al , 2022; Dolgui et al , 2022). Human–robot collaboration can merge the flexibility of humans and the repetitiveness of robots to enhance the overall system capabilities (Inkulu et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

Optimal robotic assembly sequence planning with tool integrated assembly interference matrix

Champatiray

Bahubalendruni²,

Mahapatra

et al. 2023

AIEDAM

View full text Add to dashboard Cite

Manufacturing industries are looking for efficient assembly planners that can swiftly develop a practically feasible assembly sequence while keeping costs and time to a minimum. Most assembly sequence planners rely on part relations in the virtual environment. Nowadays, tools and robotic grippers perform most of the assembly tasks. Ignoring the critical aspect renders solutions practically infeasible. Additionally, it is vital to test the feasibility of positioning and assembling components while employing robotic grippers and tools prior to their implementation. This paper presents a novel concept named by considering both part and tool geometry to propose “tool integrated assembly interference matrices” (TIAIMs) and a “tool integrated axis-aligned bounding box” (TIAABB) to generate practically feasible assembly sequence plans. Furthermore, the part-concatenation technique is used to determine the best assembly sequence plans for an actual mechanical component. The results show that the proposed approach effectively and efficiently deals with real-life industrial problems.

show abstract

Industry 4.0 and prospects of circular economy: a survey of robotic assembly and disassembly

Cited by 37 publications

References 141 publications

Task allocation and planning for product disassembly with human–robot collaboration

Task allocation and planning for product disassembly with human–robot collaboration

Industry 4.0: technical qualifications for the fourth industrial revolution in Brazil

Optimal robotic assembly sequence planning with tool integrated assembly interference matrix

Contact Info

Product

Resources

About