An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

Ali, Masood Ashraf; Gola, Arkadiusz; Hasan, Fazil; AlArjani, Ali

doi:10.1007/978-981-15-3380-8_12

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…In other works, Average Linkage Clustering algorithm (ALC) was used for grouping of part families in production engineering [44,45,46,47] . Likewise, an adaptive algorithm was proposed for multiple part families production selection in reconfigurable flow lines [48] . Gola and Kłosowski [49] considered a problem of works transport organization in which the sequence of stations in a loop was optimized by GAs.…”

Section: Literature Backgroundmentioning

confidence: 99%

Optimization of a Can Size Problem Using Real Encoded Chromosome in Genetic Algorithm

Ali

Gola

AlArjani

et al. 2022

J. Phys.: Conf. Ser.

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One of the major drawback of Genetic Algorithm (GA) based solutions to many optimization problems is the difficulty to obtain convergence to an optimal solution. One of the possible reason for not obtaining good convergence is due to the improper encoding of chromosomes. Many techniques were proposed in some previous researches for improving the convergence of GA based solutions. However, no consideration regarding the role of chromosome encoding in achieving convergence and optimality both has been discussed in the past. In the present work, a can volume optimization problem is solved with the help of two types of chromosome encoding techniques that are proposed and evaluated in GA environment. First, based on single random gene selection and second based on mean value of genes of the encoded chromosome. A numerical example with an objective function and constraints has been solved and the results for each of the scheme is being discussed.

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Section: Literature Backgroundmentioning

confidence: 99%

Optimization of a Can Size Problem Using Real Encoded Chromosome in Genetic Algorithm

Ali

Gola

AlArjani

et al. 2022

J. Phys.: Conf. Ser.

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Digital Twin Framework for Reconfiguration Management: Concept & Evaluation

Caesar,

Barton,

Tilbury

et al. 2023

IEEE Access

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To remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point of view, this concept has been exploited for the past 20 years, revealing several different design solutions. However, industrial application is still an exception. Our analysis led to the assumption that this is due to a lack of operator support for reconfiguration management. In addition, mostly individual aspects of reconfiguration are considered instead of exploiting the entire reconfiguration space at the system and machine level. Therefore, in this paper, we present a digital twin framework for reconfiguration management considering reconfiguration as a holistic problem. We evaluate the framework by conducting a case study and challenging it by evaluating the completeness based on a systematic literature review, and analyze if it follows good practice based on 32 requirements for digital twin frameworks.

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Reconfiguration management in manufacturing

Müller

Caesar

Weiss

et al. 2023

At - Automatisierungstechnik

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Driven by shorter innovation and product life cycles as well as economic volatility, the demand for reconfiguration of production systems is increasing. Thus, a systematic literature review on reconfiguration management in manufacturing is conducted within this work in order to determine by which degree this is addressed by the literature. To approach this, a definition of reconfiguration management is provided and key aspects of reconfigurable manufacturing systems as well as shortcomings of today’s manufacturing systems reconfiguration are depicted. These provide the basis to derive the requirements for answering the formulated research question. Consequently, the methodical procedure of the literature review is outlined, which is based on the assessment of the derived requirements. Finally, the obtained results are provided and noteworthy insights are given.

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An Adaptive Algorithm for Multiple Part Families Manufacturing Selection in Reconfigurable Flow Lines

Cited by 3 publications

References 35 publications

Optimization of a Can Size Problem Using Real Encoded Chromosome in Genetic Algorithm

Optimization of a Can Size Problem Using Real Encoded Chromosome in Genetic Algorithm

Digital Twin Framework for Reconfiguration Management: Concept & Evaluation

Reconfiguration management in manufacturing

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