ISE seminar: Integrated Multi-stakeholder Freight Transportation System with Stochastic Demand

When:
November 8, 2024
Noon to 1 p.m.
Where:
Event category: Seminar
Virtual

Speaker

Dr. Gita Taherkhani , Assistant Professor, Loyola University Chicago

Abstract

In this paper, we focus on investigating the tactical planning of an integrated multi-stakeholder system. The system receives time-dependent requests from carriers and shippers and optimizes in time and space the operations and transportation activities through the consolidation of loads of different shippers into the same vehicles. The demand values of shippers are taken under uncertainty. The aim of tactical planning in this system is to build an efficient service network and schedule. to satisfy the demand and requirements of shippers by making use of the predicted services and their capacities offered by the carriers. A two-stage stochastic program is presented and an exact decomposition-based algorithm is developed. Extensive computational analysis is performed to evaluate the impact of uncertainty on the solution of the proposed model.

Bio

Dr. Gita Taherkhani is an Assistant Professor in the Information Systems and Supply Chain Management Department at Loyola University Chicago's Quinlan School of Business. She earned her Ph.D. in Management Sciences from the University of Waterloo. Before her tenure at Loyola, she was a postdoctoral research fellow at both the Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation (CIRRELT) and the School of Management at the University of Quebec in Montreal. Her research primarily focuses on supply chain management analytics, especially in developing deterministic and stochastic models and solution algorithms for data-driven decision problems at strategic, tactical, and operational levels within transportation, logistics, and telecommunications sectors. In 2020, her Ph.D. dissertation received the second-best INFORMS SOLA Dissertation Award and INFORMS AAS Dissertation Award.

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November 2024
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