A layer-by-layer quality monitoring framework for 3D printing

MN Bisheh, SI Chang, S Lei - Computers & Industrial Engineering, 2021 - Elsevier
Technology development in additive manufacturing is accelerating transition from mass
production to mass customization. In this transition, automation in all stages of production …

[HTML][HTML] A hybrid decision support system for heart failure diagnosis using neural networks and statistical process control

SJ Khiabani, A Batani, E Khanmohammadi - Healthcare Analytics, 2022 - Elsevier
Timing and precision are two primary keys for myocardial infarction diagnosis. Even minor
errors in diagnosis can dramatically increase the treatment process, increase treatment …

The effect of measurement errors on the performance of the exponentially weighted moving average control charts for the ratio of two normally distributed variables

HD Nguyen, KP Tran, KD Tran - European Journal of Operational Research, 2021 - Elsevier
Investigating the effect of measurement errors on the control chart monitoring the ratio of two
normal random variables is an important task to facilitate the use of this kind of control chart …

Minimizing online retailers' revenue loss under a time-varying willingness-to-pay distribution

MS Kazemi, SB Fotopoulos, X Wang - International Journal of Production …, 2023 - Elsevier
We study revenue management for an online retailer that offers a single product to
customers with a time-varying willingness-to-pay (WTP) distribution. When the WTP …

Adjustment of measurement error effects on dispersion control chart with distribution-free quality variable

SF Yang, LP Chen, CK Lin - Sustainability, 2023 - mdpi.com
In industrial processes, control charts are useful tools to monitor the quality of products and
detect possibly out-of-control processes. While many types of control charts have been …

Exponentially weighed moving average charts for monitoring zero-inflated proportions with applications in health care

PE Maravelakis, AC Rakitzis… - Statistical Methods in …, 2022 - journals.sagepub.com
In the context of public health surveillance, the aim is to monitor the occurrence of health-
related events. Among them, statistical process monitoring focuses very often on the …

The Impact of Top Management Support on the Behavioral Intention to Adopt Information Systems: A Literature Review

L Frau - Available at SSRN 4284854, 2022 - papers.ssrn.com
Purpose-The purpose of this study is to enhance the existing state-of-the-art literature on the
impact of top management support on the behavioral intention to adopt information systems …

[图书][B] Machine learning modeling for image segmentation in manufacturing and agriculture applications

MN Bisheh - 2022 - search.proquest.com
This dissertation focuses on applying machine learning (ML) modeling for image
segmentation tasks of various applications such as additive manufacturing monitoring …

An expert system for diagnosing and treating heart disease

B Fernandino, MS Bisheh - arXiv preprint arXiv:2402.14128, 2024 - arxiv.org
Timely detection of illnesses is vital to prevent severe infections and ensure effective
treatment, as it's always better to prevent diseases than to cure them. Sadly, many patients …

Combination of Backward and Forward Approaches for Future Prediction by Business Intelligence Tools

MN Bisheh, A Raissi, S Mokhtari - American Journal of Engineering and …, 2021 - hal.science
Business intelligence tools now play an important role in data collection, processing and
analyses of organizations. Managers may use outputs of such tools and make improved …