A data-driven iterative refinement approach for estimating clearing functions from simulation models of production systems

Author:

Gopalswamy Karthick1,Uzsoy Reha1

Affiliation:

1. Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An optimization approach for assembly job shop order release based on clearing functions;INT J IND ENG COMP;2024

2. Data-Driven Production Planning and Supply Chain Management: A Brief Review;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25

3. Data-Driven Production Planning Models for Wafer Fabs: An Exploratory Study;IEEE Transactions on Semiconductor Manufacturing;2023-08

4. Data-driven aggregate modeling of a semiconductor wafer fab to predict WIP levels and cycle time distributions;Flexible Services and Manufacturing Journal;2023-06-16

5. Order release optimisation for time-dependent and stochastic manufacturing systems;International Journal of Production Research;2023-05-30

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