Technology jump in the industry: human–robot cooperation in production

Dobra, Zoltan; Dhir, Krishna S.

doi:10.1108/ir-02-2020-0039

Cited by 38 publications

(36 citation statements)

References 109 publications

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“…We can define the percentage of time saving or productivity gain in assembly process p by Equation (6). It arises from a reduction in the cycle time of production t c (min) in the assembly process with a cobot and the annual volume of production V, where D is the yearly number of working days, and H is the number of hours per shift.…”

Section: Methodology 21 Differential Cost Model Of Assembly With Collaborative Robotsmentioning

confidence: 99%

“…This standard defines five main characteristics for all cobots that are the basis of their differences with industrial robots: providing a visual indicator when the robot is operating in cooperation with a human; providing a controlled stop; allowing the operator the possibility of performing manual guidance without the need to deactivate servomotors; supervision of speed and safety distance; and the limitation of power and force by inherent design or control [4]. Collaborative robotics research can be tracked through recent reviews on the topic [5,6], laboratory studies [7,8] or the real field applications that can be found in an increasing number by examining the literature [9][10][11]. Globalization of manufacturing requires considering cobot implementation in several facets for sustainable integration.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Collaborative Robot Sustainable Integration in Manufacturing Assembly by Using Process Time Savings

Calvo¹,

Gil²

2022

Materials

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Collaborative robots are enablers of flexibility in the current dynamic and uncertain manufacturing environment. Decision making on its implementation requires technical feasibility, involving productivity and workforce implications that should be faced in an integrated perspective in processes where many components of different materials are assembled in products of increasing diversity and complexity. This study introduces two new parametric models for collaborative robotics, formulated in order to evaluate the differential cost of assembly (economic dimension) and the differential income from taxes that supports short-term workforce displacement (social dimension) in cobot implementation. Updated techno-economical parameters are selected for assessing feasibility ranges of application in different production scenarios. Next, the influence curves of productivity gain for a feasible implementation of cobot establish thresholds for decision making under both criteria. The results show the need for productivity gains that are significantly lower in high-wage scenarios than in low-wage scenarios; however, in a joint approach, breakeven productivity gain is always higher for the social dimension threshold than for the economic requirement of cost-effective manufacturing, with a higher gap in low-wage cases. The detailed analysis of a real case study of cobot implementation for assembly demonstrates the practical application of models and potential for future research.

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Section: Methodology 21 Differential Cost Model Of Assembly With Collaborative Robotsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Collaborative Robot Sustainable Integration in Manufacturing Assembly by Using Process Time Savings

Calvo¹,

Gil²

2022

Materials

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“…For example, human-robot proximity is directly related to organizational safety and health (Zacharaki et al, 2020). A lack of confidence in sensory systems for physical contact also causes concerns about working with robots (Dobra & Dhir, 2020). Another issue is maintaining confidentiality of the data obtained from robots' sensory functions and machine learning (Fletcherd & Webb, 2017).…”

Section: Attributes Related To Contactmentioning

confidence: 99%

Working With Robots: Human Resource Development Considerations in Human–Robot Interaction

Kim

2022

Human Resource Development Review

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Advancements in robotic technology have accelerated the adoption of collaborative robots in the workplace. The role of humans is not reduced, but robotic technology requires different high-level responsibilities in human–robot interaction (HRI). Based on a human-centered perspective, this literature review is to explore current knowledge on HRI through the lens of HRD and propose the roles of HRD in this realm. The review identifies HRD considerations that help implement effective HRI in three human-centered domains: human capabilities, collaboration configuration, and attributes related to contact. The eight HRD considerations include employees’ attitudes toward robots, their readiness for robot technology, communication with robots, human–robot team building, leading multiple robots, systemwide collaboration, safety interventions, and ethical issues. Theoretical implications, practical implications, and limitations are discussed. This paper contributes to HRD by introducing potential areas of multidisciplinary collaborations to help organizations implement robotic systems.

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“…Various aspects of financing business cooperation have been studied in numerous scholarly papers (Bolgova 2017;Guseva et al 2019;Medentseva 2017;Tarakanov et al 2020). Digital cooperation, as a special form of inter-enterprise collaboration, is a subject of the works of several Russian and foreign scholars (Dobra and Dhir 2020;Huang et al 2020;Kim et al 2020;Lee et al 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Financial Model of Digital Cooperation in Business

Korolev

Yankovskaya

Grazhdankina

et al. 2021

Сooperation and Sustainable Development

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This study aims to develop promising financial models of digital cooperation in business for different world regions through a comparative analysis of European-American and Asian-Pacific business practices. We sampled the top 10 countries by the turnover of the largest cooperative association in 2020 for the experimental part of the study. The main methods of this study are correlation and regression analysis. The results demonstrated a strong correlation between the turnover of the cooperative business structure of the Asian-Pacific region and funding for technological development (−86.31%). We identified the key factors and fields for financing, which were different for the European-American (country credit rating: −9.13%; venture capital: −3.75%) and the Asian-Pacific (funding for technological development: −86.31%) practice. We established that, at the maximum level of the key elements of financial support, the turnover of cooperative enterprises would rise by 708.49% in the Asian-Pacific region and only by 8.96% in the European-American region. The created financial models of digital cooperation in different regions of the world can be used to take into account the specifics of geography and business practices for the most effective financial management of digital cooperation development.

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Technology jump in the industry: human–robot cooperation in production

Cited by 38 publications

References 109 publications

Evaluation of Collaborative Robot Sustainable Integration in Manufacturing Assembly by Using Process Time Savings

Evaluation of Collaborative Robot Sustainable Integration in Manufacturing Assembly by Using Process Time Savings

Working With Robots: Human Resource Development Considerations in Human–Robot Interaction

Financial Model of Digital Cooperation in Business

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