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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

Education

National Tsing Hua University (NTHU)

PhD in Industrial Engineering

Passout Year: 2018

Publication

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...

  • dott image October, 2022

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...

Impact of return leniency on retailers' profit and social welfare in monopoly markets

Product return policies are widely utilized to increase customer security in retail markets. As a result, many retailers take various return leniency measures to ease the applicability of pr...

Bi-objective optimization for customers’ satisfaction improvement in a Public Bicycle Sharing System

In recent years, the popularity of the Public Bicycle Sharing System (PBSS) for urban transportation is increasing. The fleet size of the system and the capacity of its stations are some key...

  • dott image October, 2021

Partially Observable Markov Decision Process for Monitoring Multilayer Wafer Fabrication

The properties of a learning-based system are particularly relevant to the process study of the unknown behavior of a system or environment. In the semiconductor industry, there is regularly...

An integrated queuing-stochastic optimization hybrid Genetic Algorithm for a location-inventory supply chain network

We consider a location-inventory optimization model for supply chain (SC) configuration. It includes a supplier, multiple distribution centers (DCs), and multiple retailers. Customer demand ...

The impracticality of homogeneously weighted moving average and progressive mean control chart approaches

There is growing literature on new versions of “memory-type” control charts, where deceptively good zero-state average run-length (ARL) performance is misleading. Using steady-state run-...

The role of the normal distribution in statistical process monitoring

We discuss issues related to the use of the normality assumption in statistical process monitoring with continuous data. Our illustrations involve the Shewhart X-chart. We illustrate some of...

Theory-Based Failure Modes and Effect Analysis for Medication Errors

Medication Errors (MEs) are still significant challenges, especially in nonautomated health systems. Qualitative studies are mostly used to identify the parameters involved in MEs. Failing t...

  • dott image September, 2020

A hybrid genetic and Lagrangian relaxation algorithm for resource-constrained project scheduling under nonrenewable resources

Scheduling under nonrenewable resources is one of the challenging issues in project scheduling problems. There are many cases where the projects are subject to some nonrenewable resources. I...

Projects

Jan-2023 to Present

Design Science of an Awareness System for Social Media Grooming

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

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:

Scholar9 Profile ID

S9-062023-1700037

Publication
Publication

(27)

Citations
Citations

(0)

Network
Network

(1)

Conferences
Conferences/Seminar

(1)

Academic Identity

ORCID
ORCID
Scopus Profile
Scopus Profile
57197867808