Relevant bibliographies by topics / Multi-agent systems Product Lines engineering

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Academic literature on the topic 'Multi-agent systems Product Lines engineering'

Author: Grafiati
Published: 4 May 2024

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Journal articles on the topic "Multi-agent systems Product Lines engineering"

1

SARKER, BHABA R., and YI XU. "Designing multi-product lines: job routing in cellular manufacturing systems." IIE Transactions 32, no. 3 (2000): 219–35. http://dx.doi.org/10.1080/07408170008963894.

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2

Ochoa, Lina, Oscar González-Rojas, Nicolás Cardozo, et al. "Constraint programming heuristics for configuring optimal products in multi product lines." Information Sciences 474 (February 2019): 33–47. http://dx.doi.org/10.1016/j.ins.2018.09.042.

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3

Alavian, Pooya, Peter Denno, and Semyon M. Meerkov. "Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines." International Journal of Production Research 55, no. 24 (2017): 7276–301. http://dx.doi.org/10.1080/00207543.2017.1338779.

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4

Kaynarkaya, Sena, and Gülen Çağdaş. "Evaluation of Metro Lines with Swarm Intelligence Approach." Journal of Information Technology in Construction 27 (August 24, 2022): 802–26. http://dx.doi.org/10.36680/j.itcon.2022.039.

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Metro lines, which have become one of the most important transportation routes for today's cities, require long design and implementation processes. Their design load is mostly due to detailed engineering calculations, have to expand to meet the needs of the ever-increasing population. The behavior of slime moulds to find the shortest path they use to reach the food source has inspired models created specifically to test the accuracy of highway routes. The hypothesis of this study is that the swarm behavior of slime moulds and the routes they follow may produce the same or similar results as the existing metro lines. In this research, an answer was sought to the question of whether a metro line designed with an approach based on swarm intelligence could be compatible with the existing line. The paper aims to develop a model that guides the design processes of metro lines by using swarm intelligence and shortest path finding strategies of slime moulds in a computational model. In the model, slime moulds were represented by multi-agent systems. The metro route was produced by the model using the station locations on an existing metro line selected as the study area. The agent-based simulation model was developed in the Grasshopper Physarealm plug-in environment. In the first stage of the model, a numerical model was created using the data and parameters of an existing metro line. In the second stage, the simulation was carried out to create a new route by preserving only the station locations of the existing metro line. Finally, the existing metro route and the route developed with the simulation model based on the intelligent agent behaviour in the digital environment were compared by overlapping. The results show that the route created by slime moulds only to reach the food is almost the same as the currently designed metro line. Topography data is ignored in the model. It is seen that the model developed by using metro design criteria is an important decision support aid for designers in determining metro routes.
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5

Miqueo, Adrian, Marcos Gracia-Cadarso, Marta Torralba, Francisco Gil-Vilda, and José Antonio Yagüe-Fabra. "Multi-Model In-Plant Logistics Using Milkruns for Flexible Assembly Systems under Disturbances: An Industry Study Case." Machines 11, no. 1 (2023): 66. http://dx.doi.org/10.3390/machines11010066.

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Mass customisation demand requires increasingly flexible assembly operations. For the in-plant logistics of such systems, milkrun trains could present advantages under high variability conditions. This article uses an industrial study case from a global white-goods manufacturing company. A discrete events simulation model was developed to explore the performance of multi-model assembly lines using a set of operational and logistics Key Performance Indicators. Four simulation scenarios analyse the separate effects of an increased number of product models and three different sources of variability. The results show that milkruns can protect the assembly lines from upstream process disturbances.
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Dhouib, K., A. Gharbi, and N. Landolsi. "Availability modelling and analysis of multi-product flexible transfer lines subject to random failures." International Journal of Advanced Manufacturing Technology 50, no. 1-4 (2010): 329–41. http://dx.doi.org/10.1007/s00170-009-2487-8.

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7

Farahani, Elham Darmanaki, and Jafar Habibi. "Configuration Management Model in Evolutionary Software Product Line." International Journal of Software Engineering and Knowledge Engineering 26, no. 03 (2016): 433–55. http://dx.doi.org/10.1142/s0218194016500182.

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In Software Product Line (SPL), Configuration Management (CM) is a multi-dimensional problem. On the one hand, the Core Assets that constitute a configuration need to be managed, and on the other hand, each product in the product line that is built using a configuration must be managed, and furthermore, the management of all these configurations must be coordinated under a single process. Therefore, CM for product lines is more complex than for single systems. The CM of any software system involves four closely related activities: Change Management (ChM), Version Management (VM), System Building (SB) and Release Management (RM) [I. Sommerville, Software Engineering, 9th edn. (Addison-Wesley, 2010)]. The aim of this paper is to provide ChM and VM models for evolutionary-based SPL system development and maintenance. The proposed models support any level of aggregation in SPLs and have been applied to Mobile SPL as a case study.
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8

Qin, Yi. "Integrated, multidisciplinary approaches for micro-manufacturing research, and new opportunities and challenges to micro-manufacturing." Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems 232, no. 1 (2018): 5–21. http://dx.doi.org/10.1177/2397791417750350.

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Increased demands on micro-products and miniaturised systems/devices have been a main driver to the rapid growth of the interest in research in micro- and nano-manufacturing. Currently, micro-manufacturing research is bridging ‘nano-manufacturing’ and ‘macro-manufacturing’ and hence, helping to transform nanotechnology into real-world and affordable products, for which it is developing multi-length scale and multi-materials manufacturing capabilities. It is also playing more roles in helping transforming traditional industry and products to more competitive ones. Nevertheless, besides being shifted from ‘process focus’ to ‘market/product’ driven research and technological developments addressing production capability, product quality, pilot production lines and sustainability, there is clearly a need for micro-manufacturing research to adopt integrated, multidisciplinary approaches to address development-related issues concurrently, in order to shorten the development cycles for product realisation. It is believed that to transfer laboratory processes to industrial applications within much shorter timescales, the associated issues should be addressed with collaborations among different, relevant disciplines. European Union–funded integrated projects have demonstrated such efforts. Product development–centred approaches brought in expertise and resources in product design, material, analysis, testing, tools, machines, automation and manufacturing system integration as well as in life-cycle engineering to address the development needs. At the same time, due to ever updated interests in new products and enabling manufacturing technologies with a view to meeting increased demands from, for example, healthcare, on quality of life, for wealth creation, social engagement and sustainable development, there are new challenges to micro- and nano-manufacturing research, which also suggest tremendous opportunities.
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9

Tremblet, David, Abdelkrim R. Yelles-Chaouche, Evgeny Gurevsky, Nadjib Brahimi, and Alexandre Dolgui. "Optimizing task reassignments for reconfigurable multi-model assembly lines with unknown order of product arrival." Journal of Manufacturing Systems 67 (April 2023): 190–200. http://dx.doi.org/10.1016/j.jmsy.2023.02.001.

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10

Ruppert, Tamas, and Janos Abonyi. "Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines." Sensors 18, no. 7 (2018): 2346. http://dx.doi.org/10.3390/s18072346.

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Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying product complexity, fixture sensors and an indoor positioning system (IPS) were designed and this multi sensor data merged with product-relevant information. The proposed model-based performance monitoring system tracks the recursively estimated parameters of the activity-time estimation model. As the estimation problem can be ill-conditioned and poor raw sensor data can result in unrealistic parameter estimates, constraints were introduced into the parameter-estimation algorithm to increase the robustness of the software sensor. The applicability of the proposed methodology is demonstrated on a well-documented benchmark problem of a wire harness manufacturing process. The fully reproducible and realistic simulation study confirms that the indoor positioning system-based integration of primary sensor signals and product-relevant information can be efficiently utilized in terms of the constrained recursive estimation of the operator activity.
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