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

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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 t
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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 variabili
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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 Buildi
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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 sh
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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 pro
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