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Articles 1 - 7 of 7
Full-Text Articles in Engineering
Kidney-Related Operations Research: A Review, Mahdi Fathi, Marzieh Khakifirooz
Kidney-Related Operations Research: A Review, Mahdi Fathi, Marzieh Khakifirooz
Bagley College of Engineering Publications and Scholarship
Operations research and optimization in healthcare and disease modeling have received significant attention in the last three decades. This article surveys several perspectives of operations research techniques in kidney disease, such as graph theory, queueing theory, Markov chain, and phase-type distribution (PTD). The kidney-related problems include kidney exchange problem, the modeling of kidney disease progression, kidney transplantation, and the complex relationship between chronic kidney disease (gradual loss of kidney function over time) and acute kidney injury (sudden episode of kidney failure in a few hours or a few days). Each section is summarized by some discussion regarding the limitation of …
Development Of Smart Semiconductor Manufacturing: Operations Research And Data Science Perspectives, Marzieh Khakifirooz, Mahdi Fathi, Kan Wu
Development Of Smart Semiconductor Manufacturing: Operations Research And Data Science Perspectives, Marzieh Khakifirooz, Mahdi Fathi, Kan Wu
Bagley College of Engineering Publications and Scholarship
With advances in information and telecommunication technologies and data-enabled decision making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, semiconductor industry is one of the few global industries that are in a growth mode to smartness, due to worldwide demand. The important opportunities that can boost the cost reduction of productivity and improve quality in wafer fabrication are based on the simulations of actual environment in Cyber-Physical Space and integrate them with decentralized decision-making systems. However, this integration faced the industry with novel unique challenges. The stream of the data from …
Model Mis-Specification Of Generalized Gamma Distribution For Accelerated Lifetime Censored Data, Marzieh Khakifirooz, Sheng-Tsaing Tseng, Mahdi Fathi
Model Mis-Specification Of Generalized Gamma Distribution For Accelerated Lifetime Censored Data, Marzieh Khakifirooz, Sheng-Tsaing Tseng, Mahdi Fathi
Bagley College of Engineering Publications and Scholarship
The performance of reliability inference strongly depends on the modeling of the product’s lifetime distribution. Many products have complex lifetime distributions whose optimal settings are not easily found. Practitioners prefer to utilize simpler lifetime distribution to facilitate the data modeling process while knowing the true distribution. Therefore, the effects of model mis-specification on the product’s lifetime prediction is an interesting research area. This paper presents some results on the behavior of the relative bias (RB) and relative variability (RV) of p-th quantile of the accelerated lifetime (ALT) experiment when the generalized Gamma (GG3) distribution is incorrectly specified as Lognormal or …
Decision Support For Smart Manufacturing, Mahdi Fathi, Marzieh Khakifirooz, Panos M. Pardalos, Daniel J. Power
Decision Support For Smart Manufacturing, Mahdi Fathi, Marzieh Khakifirooz, Panos M. Pardalos, Daniel J. Power
Bagley College of Engineering Publications and Scholarship
A post-industrial revolution is encouraging the deployment of novel concepts both for designing smart factories and for creating a new generation of monitoring, control and man-machine collaboration systems. In general, companies are embracing an era of smart manufacturing built upon Cyber Physical Systems (CPS), the Internet of Things (IoT), and Cloud and Cognitive computing. Using digital technologies with advanced manufacturing tools can provide opportunities for building smart decision support systems (DSS) to improve manufacturing analysis, monitoring, output, and performance. Despite the potential of improved Decision Support Systems (DSS), the major challenge is successfully adapting smart manufacturing processes to use new …
Ambient-Intelligent Decision Support System For Smart Manufacturing, Mahdi Fathi, Marzieh Khakifirooz, Yiannis Ampatzidis, Panos M. Pardalos
Ambient-Intelligent Decision Support System For Smart Manufacturing, Mahdi Fathi, Marzieh Khakifirooz, Yiannis Ampatzidis, Panos M. Pardalos
Bagley College of Engineering Publications and Scholarship
Ambient Intelligence (AmI) refers to a networked environment of computing devices for implementing a "smart" system. AmI is built using sensors and actuators connected through real-time networks. The data and signals captured from sensors are ambiguous for both human and machine. Artificial Intelligence (AI) is merged into an ambient environment to translate data and signals into a language understandable by human users and can help transform an operational setting from machine-centered to human-centered. However, the implementation of AI technology into an ambient environment requires quantitative modeling approaches to emphasize system requirements analysis and more detailed design specifications. This article tries …
Compensating Misalignment Using Dynamic Random-Effect Control System: A Case Of High-Mixed Wafer Fabrication, Marzieh Khakifirooz, Chen-Fu Chien, Mahdi Fathi
Compensating Misalignment Using Dynamic Random-Effect Control System: A Case Of High-Mixed Wafer Fabrication, Marzieh Khakifirooz, Chen-Fu Chien, Mahdi Fathi
Bagley College of Engineering Publications and Scholarship
It is vital to have an exclusive modification in semiconductor production process because of meeting differentiated customer demands in dynamic and competitive global minuscule semiconductor technology market and the highly complex fabrication process. In this paper, we propose a control system based on the dynamic mixed-effect least-square support vector regression (LS-SVR) control system for overlay error compensation with stochastic metrology delay to minimize the misalignment of the patterning process. Moreover, for the stability of the control system in the presence of metrology delay and to deal with nonlinearity among the overlay factors, the novel Lyapunov-based kernel function is merged with …
A Multi-Objective Model For Risk Mitigating In Supply Chain Design, Mahdi Fathi, Vahid Nooraei, Masoud Narenji, Mahour Mellat-Parast, Panagote M. Pardalos
A Multi-Objective Model For Risk Mitigating In Supply Chain Design, Mahdi Fathi, Vahid Nooraei, Masoud Narenji, Mahour Mellat-Parast, Panagote M. Pardalos
Bagley College of Engineering Publications and Scholarship
The goal of this study is to recognise various factors for responsive SCs that affect supply risk and model their impact on SC design and operation. We propose a conceptual model for SC responsiveness that encompasses practices such as flexibility, agility, internal integration, and visibility. This conceptual model is utilised to build up a multi-objective, multi-period SC design and operation model. A heuristic algorithm is developed to find the supplier, product, period, and production rate for the numerical problem. The improved genetic algorithm (GA) produces solutions with more accuracy in considerably less time than a traditional GA. Finally, an approach …