Control charts for monitoring multi-stage service processes with optimal queue performance-Reference-Cited by-同舟云学术

Control charts for monitoring multi-stage service processes with optimal queue performance

Published:2019-05-10 Issue:9 Volume:49 Page:2472-2484
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Ebadi Mohsen¹,Ahmadi-Javid Amir¹

Affiliation:

1. Department of Industrial Engineering & Management Systems, Amirkabir University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2018.1520872

Reference31 articles.

1. Ahmadi-Javid, A., and M. Ebadi. 2017. Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986). arXiv preprint, arXiv:1708.06160.

2. A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality

3. Economic-Statistical Design of EWMA Control Charts Based on Taguchi's Loss Function

4. An analysis of customer satisfaction with waiting times in a two-stage service process

5. The Economic Design ofXCharts Used to Maintain Current Control of a Process

Cited by 5 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. Monitoring multistage healthcare processes using state space models and a machine learning based framework;Artificial Intelligence in Medicine;2024-05

2. Control Charts for the Expected System Size of Markovian Queues under F-policy;Quality Technology & Quantitative Management;2021-06-06

3. Statistical process control of the vertical form, fill and seal packaging machine in food industry;Journal of Food Process Engineering;2020-11-30

4. Economic design of memory-type control charts: The fallacy of the formula proposed by Lorenzen and Vance (1986);Computational Statistics;2020-09-17

5. Optimization of software development life cycle process to minimize the delivered defect density;OPSEARCH;2019-09-19