Mohsen Emadikhiav

Ph.D. Student

Operations and Information Management


M.Sc. Industrial Engineering and Management, Linkoping University, Linkoping, Sweden

B.Sc. Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Research Interests

Market Design, Procurement Auctions, Vehicle Routing and Scheduling, Business Analytics, Discrete Optimization

Research Summary

My dissertation is focused on designing transportation and logistics decision support systems.

The first essay of my dissertation introduces a new variant of simultaneous pickup and delivery problems where arrival-time consistency is considered. This problem is motivated by the real operations in an instrument-calibration company in Sweden where I interned in 2014. This is a very challenging optimization problem, and we proposed optimal solution frameworks for the company to reduce transportation costs while enforcing multiple practical constraints. In the second essay, we investigate how GPS and sensor truck data can be used to identify potential backhaul opportunities among multiple companies. We use data mining techniques on real GPS and sensor data collected from multiple carriers in the US to identify frequent transportation lanes. The identified lanes are then matched to evaluate financial, environmental, and social benefits. The underlying optimization problems are quite challenging, and we introduce routing models to solve the resulting carrier collaboration problems. In my third essay, we are working on designing an end-to-end transportation market to solve the carrier collaboration problem by proposing efficient exchange mechanisms for the market. In this combinatorial procurement auction problem, we consider some important practical challenges for the carriers participating in the auction as well as certain economic aspects of the problem which have been ignored in the existing literature.


Contact Information
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