Dynamic Modeling and Analysis of Bernoulli Production Lines With Small-Lot Orders and Product Quality Problems

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2024-09-23 DOI:10.1109/TII.2024.3452196
Chiye Ma;Zhiyang Jia;Jianchao Zhang;Minghao Duan;Wei Wang
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Abstract

Customized production is becoming prevalent under smart manufacturing environment. With the increasing high standards from customers, products with satisfied quality are required. However, during some flexible machining processes, defective parts are produced occasionally. In the meanwhile, customized orders (commonly in small-lot) of parts having no defects are desired to be finished within lead times. Dynamic modeling and analysis are required since customized production cannot always reach steady state. Therefore, we investigate the problem in this article. Practical issues, such as unreliable machines and finite buffers are also taken into account. Specifically, a novel building block-based dynamic modeling and analysis method is proposed. The proposed method is validated to have a precise performance measures prediction effect, as well as an efficient computational performance.
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具有小批量订单和产品质量问题的伯努利生产线动态建模与分析
在智能制造环境下,定制化生产越来越普遍。随着客户对产品的要求越来越高,对产品质量的要求也越来越高。然而,在一些柔性加工过程中,偶尔会产生不良零件。同时,要求在交货期内完成无缺陷零件的定制订单(通常是小批量)。由于定制生产不可能总是达到稳定状态,因此需要动态建模和分析。因此,本文对这一问题进行了研究。实际问题,如不可靠的机器和有限的缓冲区也被考虑在内。具体而言,提出了一种新的基于建筑块的动态建模与分析方法。结果表明,该方法具有准确的性能指标预测效果和高效的计算性能。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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