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 Dr. 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!
Download The Webinar Poster
Dr. 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, and developing trade promotion and pricing optimization applications for retailers are some of his past project experiences. Moreover, Meysam has developed Cresco’s Call Center Staffing Optimization application. 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 university level.
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.