Benefits of Vehicle Routing Optimization
Vehicle Routing Optimization, which is the process of determining the most cost-efficient route, is a solution for so-called vehicle routing problems (VRPs). Vehicle Routing Optimization is not just finding the shortest path between two points. The Vehicle Routing Optimization process must account for all relevant factors involved such as vehicle limitations, cost controls, time windows, resource limitations, etc. Join our interactive webinar to learn how state-of-the-art optimization solvers serve as a part of a Vehicle Routing Optimization solution to provide the end customer with a range of services that eventually contribute to enhancing the overall customer experience.
In this webinar, we will talk about:
- Vehicle routing challenges
- Key features of Vehicle Routing Optimization solutions and their benefits
- Machine Learning++ and its advantages
- Required technologies to build efficient Vehicle Routing Optimization solutions
- How Cresco International can help you
Those are just some of the highlights, and Meysam Cheramin, Operations Research Specialist of Cresco International, and Sanjeev Datta, CEO of Cresco International, will go into much more detail in the webinar. Whether you are an expert in the field of optimization and data science or you do not know anything about them, you are guaranteed to learn new ways to solve your vehicle routing problems. We hope to see you there!
Meysam CheraminOperations Research Specialist
Meysam is an operations research specialist with 7 years
of experience in optimization, simulation, and data
analytics. He has been providing consulting services that
leverage operations research techniques based on the
idea that all solutions should focus on return on
investment, profit margin improvements, and new
revenue opportunities. He is keen on solving business
problems using a hybrid approach of analytics, modeling,
and process improvement.
Meysam has built many optimization applications for
various supply chain, healthcare, energy, and financial
problems. Developing resilient supply chain networks for
recycling permanent magnets, developing an operating
room scheduling application for hospitals, developing a
workforce scheduling application for call centers, and
developing trade promotion and pricing optimization
applications for retailers are some of his past project
experiences. Meysam’s technical toolbox includes Python,
C++, C, CPLEX, Gurobi, FICO Xpress, GAMS, AMPL, CVX, R,
SQL, SAS, MATLAB, and ARENA.
Meysam holds B.S. and M.S. degrees in Industrial
Engineering from the Kharazmi University and Sharif
University of Technology (Tehran, Iran). He has a Ph.D. in
Systems and Industrial Engineering from the University
of Arizona. He is the author of several academic papers on
optimization under uncertainty, supply chain
optimization, and healthcare scheduling.
Furthermore, he presented his work at several
international conferences including the Institute for
Operations Research and Management Sciences
(INFORMS) and the Institute of Industrial and Systems
Engineers (IISE). He also has a few years of experience in
teaching optimization, simulation, and statistics at the
Sanjeev has spent the last two decades consulting companies in technology and strategy around analytics and enterprise architecture. He has helped companies with data strategy, data governance, analytics & Data Science. He has led teams to deliver excellence for clients from strategy to implementation. His career began as a consultant working closely with technology which has allowed him to understand clients’ needs and the importance of generating ROI for continued business and partnerships.