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Transient Performance Evaluation of Flexible Production Lines with Two Bernoulli Machines and Dedicated Buffers

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the contemporary manufacturing environment, flexible production is growing in popularity due to its quick adaptation and response to the market changes and customized requirements. Multi-type products under small-batch-based operations are commonly seen in flexible production. Therefore, dedicated buffers are sometimes used to separate different types of parts that are being processed on one production system. Besides, the steady-state analysis may be ineffective because of the small-batch-based operation, as a result, transient analysis becomes indispensable in investigating the transient behavior of flexible production lines. In this work, we investigate the performance evaluation issue in flexible production systems with multi-type products, two machines obeying the Bernoulli reliability model, and dedicated buffers in real-time. Based on Markovian analysis, a set of auxiliary production lines are presented to decouple the dynamics of the original system. Then, the transient performance measures of interest are approximately evaluated from the auxiliary production lines to avoid the issue of system state explosion. The state explosion is common when applying the Markovian approach. Finally, the proposed analytical algorithm is validated to be with high precision through numerical experiments in contrast with the Monte Carlo simulation.

源语言英语
主期刊名2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020
出版商IEEE Computer Society
836-841
页数6
ISBN(电子版)9781728169040
DOI
出版状态已出版 - 8月 2020
活动16th IEEE International Conference on Automation Science and Engineering, CASE 2020 - Hong Kong, 香港
期限: 20 8月 202021 8月 2020

出版系列

姓名IEEE International Conference on Automation Science and Engineering
2020-August
ISSN(印刷版)2161-8070
ISSN(电子版)2161-8089

会议

会议16th IEEE International Conference on Automation Science and Engineering, CASE 2020
国家/地区香港
Hong Kong
时期20/08/2021/08/20

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