Fast algorithm for predicting the production process performance in flexible production lines with delayed differentiation-Reference-Cited by-同舟云学术

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Fast algorithm for predicting the production process performance in flexible production lines with delayed differentiation

Published:2022-11-08 Issue: Volume: Page:1-13
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Chen Jingchuan¹^ORCID,Shen Zuo-Jun Max²³⁴^ORCID

Affiliation:

1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China

2. Faculty of Engineering, The University of Hong Kong, Hong Kong, China

3. Faculty of Business and Economics, The University of Hong Kong, Hong Kong, China

4. College of Engineering, University of California Berkeley, Berkeley, CA, USA

Funder

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2126564

Reference35 articles.

1. Quality/Quantity Improvement in an Automotive Paint Shop: A Case Study

2. Multi-type products and dedicated buffers-based flexible production process analysis of serial Bernoulli lines

3. Dynamic performance prediction in flexible production lines with two geometric machines

4. Discrete event-driven model predictive control for real-time work-in-process optimization in serial production systems

5. Process flexibility in homogeneous production–inventory systems with a single-period demand

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1. Variability propagation in manufacturing systems: the impact of the processing time distribution;Journal of Industrial and Production Engineering;2024-05-03

2. Fast Approximations for Dynamic Behavior in Manufacturing Systems With Regular Orders: An Aggregation Method;IEEE Robotics and Automation Letters;2023-11

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