Exploration of the optimal modularity in assembly line design

Modrák, Vladimír; Šoltysová, Zuzana

doi:10.1038/s41598-022-24972-2

Cited by 8 publications

(4 citation statements)

References 62 publications

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“…However, it is possible to identify relevant differences in their sensitivity to recognize slight topological nuances when comparing similar process structures. These differences were already studied in our previous work [51], where the indicator M(G) was prioritized against the concurrent ones. Therefore, it will be used for the intended purpose in this study.…”

Section: Selection Of the Indicator To Measure Process Modularitymentioning

confidence: 90%

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Influence of Manufacturing Process Modularity on Lead Time Performances and Complexity

Modrák

Šoltysová

2023

Applied Sciences

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In principle, modular or integral character of manufacturing lines depends on the topological designs of products and determined operation tasks. On the other hand, in specific situations there is an articulated need for modular design in smart manufacturing systems since modular layouts are a crucial step towards agile production via smart manufacturing. The aim of this paper is to explore how the modular layout relates to manufacturing lead time (MLT) and to operational complexity of smart manufacturing systems. For this purpose, topologically different models of alternative process layouts were simulated and tested, while MLT values were obtained using Tecnomatix Plant Simulation. The obtained positive findings of this research could be useful not only in selection of the most suitable process design from the alternative ones, but especially in deepening the knowledge and bettering understanding of the concept of optimal network modularity.

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Section: Selection Of the Indicator To Measure Process Modularitymentioning

confidence: 90%

“…The last considered indicator, named the optimal modularity indicator M(G), is aimed to measure the OM of process structures. This indicator is expressed as follows [51]:…”

Section: Selection Of the Indicator To Measure Process Modularitymentioning

confidence: 99%

Influence of Manufacturing Process Modularity on Lead Time Performances and Complexity

Modrák

Šoltysová

2023

Applied Sciences

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“…1. Indicator to measure optimal process modularity of process structures named as the optimal modularity indicator M(G) is expressed as follows [31]:…”

Section: Methodological Frameworkmentioning

confidence: 99%

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Modrák

Šoltysová²,

Nazarejova³

2023

Preprint

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As mass customization becomes more pervasive in many sectors, researcher needs to update traditional approaches to optimization of critical performance and design parameters in order to help companies in their effort to implement this strategy. In general, implementation of mass customization from manufacturing perspective is frequently focused on shortening cycle times, reducing production cost, and increasing throughput rate of parts. In this paper, process structure modularity impact on manufacturing lead times and throughput rates is explored. An important precondition to explore these relationships is awareness that process modularity is conceptualized and quantified in an appropriate way. For this purpose, two independent modularity measures were employed to provide more reliable assessment of this system property. The relationships were investigated on the basis of simulation experiments using deterministic models of alternative process structures. The results from the experiments showed that there are strong correlations between process modularity and manufacturing lead time, as well as between process modularity and throughput rate.

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“…An indicator to measure optimal process modularity of process structures, named the optimal modularity indicator M(G), is expressed as follows [41]:…”

Section: Optimal Modularity Indicator M(g)mentioning

confidence: 99%

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Modrak,

Soltysova,

Nazarejova

2023

Applied Sciences

Self Cite

View full text Add to dashboard Cite

As mass customization becomes more pervasive in many sectors, researchers need to update traditional approaches to the optimization of critical performance and design parameters in order to help companies in their effort to implement this strategy. In general, implementation of mass customization from a manufacturing perspective is frequently focused on shortening cycle times, reducing production cost, and increasing throughput rate of parts. In this paper, process structure modularity impact on manufacturing lead times and throughput rates is explored. An important precondition to explore these relationships is the awareness that process modularity is conceptualized and quantified in an appropriate way. For this purpose, three independent modularity measures were employed to provide more reliable assessment of this system property. The relationships were investigated on the basis of simulation experiments using deterministic models of alternative process structures. For the purpose of the relationships exploration, two case studies were conducted, theoretical and practical ones. The results from the experiments showed that there are moderate correlations between process modularity and manufacturing lead time (ρ = −0.45), as well as between process modularity and throughput rate (ρ = 0.45).

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Exploration of the optimal modularity in assembly line design

Cited by 8 publications

References 62 publications

Influence of Manufacturing Process Modularity on Lead Time Performances and Complexity

Influence of Manufacturing Process Modularity on Lead Time Performances and Complexity

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

Process Modularity Impact on Manufacturing Lead Time and Throughput Rate in Terms of Mass Customization

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