Subassembly Detection and Optimal Assembly Sequence Generation through Elephant Search Algorithm

Bahubalendruni, M. V. A. Raju; ., U.Sudhakar; Lakshmi, K. Vasanta

doi:10.33889/ijmems.2019.4.4-079

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…The memorybased dominance rule could be utilized for removing duplicate sub-problems, where cyclic Best-First Search could be resorted to in order to accelerate the process of coming up with highquality, complete solutions [42]. In [43], the Elephant Search Algorithm has been used for optimizing the number of RA levels in the context of Optimal Assembly Sequence Planning. Hybrid Cuckoo-Bat Algorithm, Ant Colony Optimization, Grey Wolf Optimization, Advanced Immune System and Hybrid Ant-Wolf Algorithm are other instances of optimization approaches that have been applied to the problems of Optimal Assembly Sequence Planning in the literature [30], along with Bidirectional Ant Colony Optimization as an alternative approach with a relatively higher efficiency than the aforementioned algorithms [44].…”

Section: Sequence Planningmentioning

confidence: 99%

“…In this context, the number of assembly levels directly affects the assembly cost and time. To this end, parallel assembly possibilities need to be detected through sub-assembly identification techniques [43]. Numerous studies have attempted to reduce the computational time required for the complex ASP or DSP of products consisting of a large number of parts.…”

Section: F Alleviating the Computational Burdenmentioning

confidence: 99%

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Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Daneshmand¹,

Noroozi²,

Corneanu³

et al. 2021

Preprint

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Despite their contributions to the financial efficiency and environmental sustainability of industrial processes, robotic assembly and disassembly have been understudied in the existing literature. This is in contradiction to their importance in realizing the Fourth Industrial Revolution. More specifically, although most of the literature has extensively discussed how to optimally assemble or disassemble given products, the role of other factors has been overlooked. For example, the types of robots involved in implementing the sequence plans, which should ideally be taken into account throughout the whole chain consisting of design, assembly, disassembly and reassembly. Isolating the foregoing operations from the rest of the components of the relevant ecosystems may lead to erroneous inferences toward both the necessity and efficiency of the underlying procedures. In this paper we try to alleviate these shortcomings by comprehensively investigating the state-of-the-art in robotic assembly and disassembly. We consider and review various aspects of manufacturing and remanufacturing frameworks while particularly focusing on their desirability for supporting a circular economy.

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Section: Sequence Planningmentioning

confidence: 99%

Section: F Alleviating the Computational Burdenmentioning

confidence: 99%

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Daneshmand¹,

Noroozi²,

Corneanu³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…It is particularly adept at compressing time to observe certain phenomena over long periods or expand time to observe a complex phenomenon in detail and experimenting with new or unknown situations about which only limited information is available. Such wide use gave birth of several software packages which the programming requires (Maria, 1997;Bahubalendruni et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Industrial-Based Time Performance of Assembly Cell Operators: Impact Assessment Characterization by Discrete-Event Simulation

Peças¹,

Semeano²

2019

Int J Math, Eng, Manag Sci

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Assembly cells often depend on the human elements when an extended automation is not (economically, even if technologically) possible. The workers’ natural variability is impossible to avoid in a manual assembly system. Usually when simulating an assembly system, a given task time distribution is assumed as the representation of the workers time performance. Workers have variations in their performance that can incur in the shifting of this distribution relative to the expected performance time distribution, as well as in the widening of this distribution, by the increase or decrease of dispersion. This paper presents a discrete event simulation model of an assembly system where the operators have different time distributions, aiming to assess their influence in the overall system performance. Those time distributions were obtained in industrial context, in a previous study, by observing workers in an assembly cell, so representing real performance of workers. The results indicate that the worst performing worker will “pace” the output system performance to a slower rhythm, while better performances of a single worker will only increase very slightly the system productivity.

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

Daneshmand

Noroozi

Corneanu³

et al. 2022

Int J Adv Manuf Technol

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Subassembly Detection and Optimal Assembly Sequence Generation through Elephant Search Algorithm

Cited by 4 publications

References 24 publications

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Industrial-Based Time Performance of Assembly Cell Operators: Impact Assessment Characterization by Discrete-Event Simulation

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

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