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About

Marzieh Khakifirooz has a Ph.D. in Industrial Engineering and Engineering Management and an M.S. degree in Industrial Statistics from the National Tsing Hua University (NTHU), Hsinchu, Taiwan. Currently, she is an assistant professor at the Department of Industrial Engineering, Tecnológico de Monterrey, Mexico. She has outstanding practical experience from her various global consultancies for high-tech industries. Her research interests include the application of optimization in smart manufacturing, Industry 4.0, decision making, and machine teaching. She is an active member of System Dynamic Society, Institute of Electrical and Electronics Engineers (IEEE), and Institute of Industrial and Systems Engineers (IISE).

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Skills

Experience

Assistant Professor

Tecnológico de Monterrey, Mexico

Nov-2019 to Present
Quality Engineer Consultant

Micron Technology

Jan-2018 to May-2018
Lecturer

National Tsing Hua University (NTHU)

Jan-2015 to Dec-2018
Research Assistant

Academia Sinica

Mar-2014 to Dec-2014
Big Data Analyzer (Summer Intern)

AUO

Jul-2015 to Aug-2015

Education

National Tsing Hua University (NTHU)

PhD in Industrial Engineering

Passout Year: 2018
National Tsing Hua University (NTHU)

M.Sc. in Industrial Statistics

Passout Year: 2014

Publication

Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI

This paper introduces the Theory of AI-driven scheduling (TAIS), an innovative framework designed to revolutionise service-oriented scheduling (In the context of this paper, ‘service-orien...

A robust optimization approach for designing multi-period airport hub network with uncertain capacity

Airports are increasing their capacity to accelerate and facilitate travel and cargo delivery. At the same time, they aim to decrease expenses on delays caused by capacity overflow, encourag...

The Impact of Emerging Trends and Increased Supply Chain Costs on Retail Goods Returns: An Analytical Model for Optimizing Pricing and Refund Strategi...

Journal : Computational Logistics (ICCL 2024)

The impact of emerging operations and marketing management trends on retail goods returns is significant. While customers are experiencing increasingly lenient return and purchase procedures...

Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis

Supply chain (SC) resiliency and risk management have garnered increasing attention recently. While several studies have explored the use of scale-free network models to design and optimise ...

An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets

This publication was developed under an appointment of the corresponding guest editor of Annals of Operations Research—Special Issue: Applications of Operations Research and Data Science i...

Reliability Assessment of Vehicle-to-Vehicle Communication Networks through Headway Distribution and Information Propagation Delay

Several developed vehicle spaces and time headway distribution models in traffic flow theory have been widely used in the literature, reflecting the primary uncertainty in drivers’ car-fol...

Scheduling in Industrial environment toward future: insights from Jean-Marie Proth

According to [Dolgui, Alexandre, and Jean Marie Proth. 2010. Supply Chain Engineering: Useful Methods and Techniques. Vol. 539. Springer.], advancing tactical levels in production systems ha...

Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis

The literature on fatigue analysis can be classified into parametric or analytic approaches that try to model the fatigue data with a specific distribution, such as the optimal sequential Ac...

A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal monitoring have demonstrated d...

Robust-heuristic-based optimisation for an engine oil sustainable supply chain network under uncertainty

This study configures various carbon regulation mechanisms to control carbon emissions following clean technology strategies in engine oil production. Considering clean technology strategies...

Projects

Jan-2023 to Present

Design Science of an Awareness System for Social Media Grooming

Jun-2009 to Present

Estimate the Cronbach's Alpha for Novel Questionnaire to Investigate the Spiritual Situation of the ...

Sep-2017 to Present

Implementing the healthy dashboard for monitoring semiconductor manufacturing system

joint work between: Micron Technology Inc. & NTHU
Sep-2015 to Oct-2018

Signal & Sensor Data Analysis for implementation of Industry 4.0, Image processing for quality impro...

Joint work between: AUO cooperation & NTHU
Dec-2016 to Mar-2017

Decision Making under uncertainty for Multi-agent system

Joint work between Decision analysis laboratory at NTHU & Robotic Laboratory at University of Liverpool (UoL)
Oct-2015 to Mar-2016

design and development of Smart Leveling Machine

Joint work between: Industrial Technology Research Institute (ITRI) & NTHU
Feb-2015 to Dec-2016

Big data analysis for Semiconductor Manufacturing for Yield Enhancement,

Joint work between: Taiwan Semiconductor Manufacturing (TSMC) & NTHU

Conference/Seminar/STTP/FDP/Symposium/Workshop

Conference
  • dott image Jun 2015

A system dynamic model for implementation of industry 4.0

Hosted By:

,

Taipei City, Taiwan

Certificates

Issued : Dec 2024
  • dott image By : edX
  • dott image Event : edX Honor Code ...
edX Honor Code Certificate for Data Science and Machine Learning Essentials

Membership

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Regular
From year 2015 to Present
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Regular

Institute of Industrial and Systems Engineers (IISE)

From year 2015 to Present
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Regular
From year 2015 to Present

Invited Position

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Fellow Member
From year 2018 to Present

Honours & Awards

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Best Paper Award
Awarded by:

Journal of Computer and Industrial Engineering

Year: 2019

Doctoral and Master Thesis Guided

Reliability Assessment of human decision making
Research Scholar:

Claudia Arias Portela

Area of research:

Mis-specification Analysis of Generalize Gamma Distribution under the ALT Censored Data
Research Scholar:

M.sc Theisis (M.sc Theisis)

Institute : National Tsing Hua University (NTHU)

Area of research: Industrial Statistics