Role of Facility Location Optimization in Business Success
The overall objective of any business is to satisfy and delight customers with its product and services. One of the most critical factors determining the success of a business is the location of its facilities. Therefore, decision-makers should take all aspects of choosing a location into consideration. As there are many factors such as competition and cost that determine the location of facilities, it is tricky to find the best location of facilities using traditional site-selection methods. The good news is that Facility Location Optimization solutions take the benefit of state-of-the-art optimization solvers to instantly determine the optimal location of facilities from possible locations that lead to the highest level of service, minimum operating costs, and maximum profits.
Join our interactive webinar to learn about:
- Facility location process and its challenges
- Key features of Facility Location Optimization solutions
- Machine Learning++ and its advantages
- Required technologies to build efficient Facility Location 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. We hope to see you there!
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.