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. © 2024 IEEE
| Original language | English |
|---|---|
| Pages (from-to) | 258-266 |
| Journal | IEEE Transactions on Industrial Informatics |
| Volume | 21 |
| Issue number | 1 |
| Online published | 23 Sept 2024 |
| DOIs | |
| Publication status | Published - Jan 2025 |
Funding
Received 16 April 2023; revised 22 August 2023 and 16 February 2024; accepted 2 August 2024. This work was supported in part by the National Natural Science Foundation of China under Grant 62103042. Paper no. TII-23-1336. (Corresponding author: Zhiyang Jia.) Chiye Ma and Zhiyang Jia are with the School of Automation, Beijing Institute of Technology, Beijing 100081, China (e-mail: [email protected]; [email protected]).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Bernoulli machine
- dynamic modeling
- flexible production
- manufacturing system
- performance evaluation
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