Tue., Dec. 05 | EV.2.260

MIAE 2017-2018 Graduate Seminar 4

MIAE Graduate Seminar 4 Given by: Masoumeh Kazemi-Zanjani, Ph.D. Associate Professor, Mechanical, Industrial and Aerospace Engineering, Concordia University
Registration is Closed
MIAE 2017-2018 Graduate Seminar 4

Time & Location

Dec. 05, 2017, 11:00 a.m. – 12:00 p.m.
EV.2.260, 1515 Rue Sainte-Catherine O, Montréal, QC H3G 2W1, Canada

About The Event

MIAE Graduate Seminar 4

Given by: Masoumeh Kazemi-Zanjani, Ph.D.

Associate Professor, Mechanical, Industrial and Aerospace Engineering, Concordia University

Abstract:

Decision-making problems in manufacturing and service industries are usually prone to various sources of disruptions. The uncertainty in the supply of raw materials and customer demand, fluctuations in energy and commodity prices, and internal system failures are few examples among others. Stochastic and robust optimization have been known as two of the most promising approaches to deal with uncertain parameters in mathematical programming models exploited in decision-support tools. While the former approach requires the probability distribution of random factors, the latter relies on a convex uncertainty set without the need for exact probability distribution. This presentation is a brief introduction to these approaches while providing real-life applications in supply chain and healthcare operations management.

Biography:

Dr. Masoumeh Kazemi is an Associate Professor in the department of Mechanical, Industrial & Aerospace Engineering at Concordia University. She received her PhD degree in Industrial Engineering from Université Laval. She is a member of OIQ and Informs and is also affiliated with CIRRELT research center in Montreal. Prior to joining Concordia, she worked as a management consultant in oil & gas and automobile industries for three years. Dr. Kazemi conducts several research projects on the application of stochastic and robust optimization for decision-making under uncertainty in manufacturing and healthcare sectors. She is particularly interested in the robust design and integrated planning of maintenance logistics networks, biomass and closed-loop supply chains. Data analytics in healthcare and supply chain transformation for Industry 4.0 are among her other research interests.

Location & Time

EV.2.260 Concordia University

Dec. 5th, 2017 (Tue.) 11:00 AM – 12:00PM

Invitation-Only Event for MORSC Members, MIAE Graduate Students, Faculty and Staff at Concordia University.

Registration is Closed

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