Optimization of tasks scheduling in cooperative robotics manufacturing via johnson's algorithm case-study: One collaborative robot in cooperation with two workers

Sadik, Ahmed R.; Taramov, Andrei; Urban, Bodo

doi:10.1109/spc.2017.8313018

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…The Agent Communication Language (ACL) and the Contract Net Protocol (CNP) were used particularly dedicated to MAS (Wang, Zhang et al, 2018;Wang, Wan, Zhang, Li & Zhang, 2016). Finally, a holonic control architecture (HCA), namely, the product-resource-order-staff-architecture (PROSA), is used to model, implement, and control the work environment in a Java Agent Development Environment (Sadik, Taramov & Urban, 2017).…”

Section: Resultsmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

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Purpose: Industry 4.0 technologies influence how production is planned, scheduled, and controlled. In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model.Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model's tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Additionally, we give a summary of each reviewed publication.Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches focus on the in-house PPC, particularly on the control using real-time information from the shop floor. We propose future research directions for the unexplored tasks and functions of the Aachen PPC model.Research limitations/implications: The selection of search terms and the texts' interpretation is based on an individual assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently.Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0.

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Section: Resultsmentioning

confidence: 99%

Approaches of production planning and control under industry 4.0: A literature review

Herrmann

Tackenberg

Padoano

et al. 2022

JIEM

View full text Add to dashboard Cite

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“…The first study in this category was conducted by , who considered cost and ergonomics as performance criteria. However, due to the long history and strong literature in proposing mathematical models for manual assembly line balancing problems, numerous studies have developed new mathematical models to design and optimize a collaborative assembly line (i.e., Boschetti et al, 2021aBoschetti et al, , 2021bDalle Mura & Dini, 2019;Sadik et al, 2017;Weckenborg et al, 2020;Zhu et al, 2022;Abdous et al, 2022).…”

Section: Designing Collaborative Assembly Linementioning

confidence: 99%

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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“…Two intersecting interaction zones were defined, where direct contact between the cobot and the operator might occur; inside these, different thresholds were established, adapting the cobot speed. A similar scenario is studied in Sadik et al (2017), which is focused on the optimization of the task scheduling through the Johnson's method. As observed by the authors, the two operators might have different assembly speeds, further complicating the task optimization; however it should be noted that the tasks are carried out in a sequential order between the cobot and the human team.…”

Section: Related Workmentioning

confidence: 99%

Multi-robot multi-operator collaborative assembly systems: a performance evaluation model

et al. 2021

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In the last decade, collaborative assembly systems (CAS) are becoming increasingly common due to their ability to merge the flexibility of a manual assembly system with the performance of traditional robotics. Technical constraints, e.g., dedicated tools or resources, or performance requirements, e.g., throughput, could encourage the use of a CAS built around a multi-robot and multi-operator layout, i.e., with a number of resources greater than 2. Starting from the development of a prototype multi-robot multi-operator collaborative workcell, a simulation environment was developed to evaluate the makespan and the degree of collaboration in multi-robot multi-operator CAS. From the simulation environment, a mathematical model was conceptualized. The presented model allows estimating, with a certain degree of accuracy, the performances of the system. The results have investigated how several process characteristics, i.e. the number and type of resources, the resources layout, the task allocation method, and the number of feeding devices, influence the degree of collaboration between the resources. Lastly, the authors propose a compact analytic formulation, based on an exponential function, and define the methods and the influence factors to determine its parameters.

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Optimization of tasks scheduling in cooperative robotics manufacturing via johnson's algorithm case-study: One collaborative robot in cooperation with two workers

Cited by 12 publications

References 9 publications

Approaches of production planning and control under industry 4.0: A literature review

Approaches of production planning and control under industry 4.0: A literature review

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

Multi-robot multi-operator collaborative assembly systems: a performance evaluation model

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