Utilizing six sigma to improve the processing time: a simulation study at an emergency department-Reference-Cited by-同舟云学术

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Utilizing six sigma to improve the processing time: a simulation study at an emergency department

Published:2017-08-23 Issue:7 Volume:34 Page:495-503
ISSN:2168-1015
Container-title:Journal of Industrial and Production Engineering
language:en
Short-container-title:Journal of Industrial and Production Engineering

Author:

Mandahawi Nabeel¹,Shurrab Mohammed²,Al-Shihabi Sameh³,Abdallah Abdallah A.⁴,Alfarah Yousuf M.³

Affiliation:

1. Department of Logistics and Supply Chain Management, Humber College Institute of Technology and Advanced Learning, Toronto, Canada

2. Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan

3. Industrial Engineering Department, University of Jordan, Amman, Jordan

4. Industrial Engineering Department, German Jordanian University, Amman, Jordan

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681015.2017.1367728

Reference26 articles.

1. A comprehensive simulation for wait time reduction and capacity planning applied in general surgery

2. The history of medical simulation

3. Simulation-Based Lean Six-Sigma and Design for Six-Sigma

4. The use of discrete-event simulation modelling to improve radiation therapy planning processes

5. Evaluating hospital design from an operations management perspective

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2. A systematized approach for reduction of medical appointment waiting list;Production;2022

3. A Bibliometric Analysis of the Evolution of Six Sigma in the Context of Industry 4.0;Engineering Economics;2021-10-28

4. A comparison of different Machine Learning algorithms for predicting the length of hospital stay for patients undergoing cataract surgery;2021 International Symposium on Biomedical Engineering and Computational Biology;2021-08-13

5. Evaluation of dynamic buffer management for adjusting stock level: a simulation-based approach;Journal of Industrial and Production Engineering;2021-05-31

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