An integrated operating mechanism for lot sentencing based on process yield-Reference-Cited by-同舟云学术

An integrated operating mechanism for lot sentencing based on process yield

Published:2021-12-01 Issue: Volume: Page:1-14
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Liu Shih-Wen¹^ORCID,Wu Chien-Wei²^ORCID,Wang Zih-Huei³^ORCID

Affiliation:

1. College of Management, National Chin-Yi University of Technology, Taichung, Taiwan

2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

3. Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2021.1927295

Reference24 articles.

1. Multiple Dependent State Sampling Plan Based on Process Capability Index

2. Developing a variables repetitive group sampling plan based on process capability indexCpkwith unknown mean and variance

3. Multiple dependent state sampling plans for lot acceptance based on measurement data

4. Brocess capability with asymmetric tolerances

5. Developing a quality-based supplier selection model from the buying company perspective

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1. Acceptance sampling plan based on difference in difference estimator with application;Scientific Reports;2023-12-15

2. An efficient partial sampling inspection for lot sentencing based on process yield;Annals of Operations Research;2023-04-19

3. Process capability monitoring and change-point analysis for S-type quality characteristic;Quality Technology & Quantitative Management;2023-03-28

4. Modeling left-truncated degradation data using random drift-diffusion Wiener processes;Quality Technology & Quantitative Management;2023-03-15

5. Developing a cost-efficient dual sampling system for lot disposition by considering process yield and quality loss;Quality Engineering;2022-09-26