Mohsen Ebadi

Mohsen Ebadi
University of Waterloo | UWaterloo · Department of Statistics and Actuarial Science

PhD of Industrial Engineering
Postdoc Fellow

About

12
Publications
1,988
Reads
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124
Citations
Citations since 2017
8 Research Items
80 Citations
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20172018201920202021202220230510152025
20172018201920202021202220230510152025
20172018201920202021202220230510152025

Publications

Publications (12)
Article
The main purpose of this paper is to design a control chart for monitoring the service processes in congested immobile single-stage service systems where customer arrivals are time dependent. It is investigated how social and economic/statistical aspects of the control chart can be addressed. As customer satisfaction is a key success factor for a s...
Article
Full-text available
This paper proposes a two-step method for monitoring high-dimensional normally distributed multi-stream processes. The first step consists of a single Hotelling chi-square chart, while the second includes a Shewhart chart for each stream to diagnose off-target streams. The second step is needed only if an alarm triggered in the first step. The requ...
Preprint
Full-text available
Modern data collecting methods and computation tools have made it possible to monitor high-dimensional processes. In this article, Phase II monitoring of high-dimensional processes is investigated when the available number of samples collected in Phase I is limitted in comparison to the number of variables. A new charting statistic for high-dimensi...
Preprint
Full-text available
One of the significant challenges in monitoring the quality of products today is the high dimensionality of quality characteristics. In this paper, we address Phase I analysis of high-dimensional processes with individual observations when the available number of samples collected over time is limited. Using a new charting statistic, we propose a r...
Article
Full-text available
Monitoring several correlated quality characteristics of a process is common in modern manufacturing and service industries. Although a lot of attention has been paid to monitoring the multivariate process mean, not many control charts are available for monitoring the covariance matrix. This paper presents a comprehensive overview of the literature...
Preprint
Full-text available
Monitoring several correlated quality characteristics of a process is common in modern manufacturing and service industries. Although a lot of attention has been paid to monitoring the multivariate process mean, not many control charts are available for monitoring the covariance matrix. This paper presents a comprehensive overview of the literature...
Article
Full-text available
Memory-type statistical control charts, such as EWMA (Exponentially Weighted Moving Average) and CUSUM (CUmulative SUM), are broadly-used statistical feedback policies for detecting small quality changes in univariate and multivariate processes. Many papers on economic-statistical design of these control charts used the general formula proposed by...
Article
This paper develops control charts for monitoring the service times at the different stages of a congested system that provides a multi-stage service to its customers. A simulation-based optimization procedure is used to simulate the whole service process and determine the chart parameters that minimize the average time a customer spends in the sys...
Article
In many situations, the quality of a process or product may be better characterized and summarized by a relationship between the response variable and one or more explanatory variables. Parameter estimation is the first step in constructing control charts. Outliers may hamper proper classical estimators and lead to incorrect conclusions. To remedy...
Article
In some situations, the quality of a process or product is characterized by a linear regression model between two or more variables which is called a linear regression profile. Moreover, in some cases, several correlated quality characteristics can be modeled as a set of linear functions of one explanatory variable which is typically referred to as...
Article
In some cases, the quality of a process or a product is characterized by a linear regression model which is also called a linear profile. Process capability index is an important concept in statistical quality control and measures the ability of a process to manufacture products that meet certain specifications. There has been little attempt to stu...
Article
Full-text available
Parameter estimation is the first step in constructing control charts. In this paper, a robust method is proposed for estimating the parameters of the multivariate process. A weighted function is applied in the estimation algorithm. Performance of the proposed method is evaluated by means of simulation both in the presence and absence of outliers....

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