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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 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!


Register Here




Aug 24 2022


Central Time (UTC-06:00)
11:00 am - 12:00 pm


Cresco International


Cresco International

Other Organizers


  • Meysam Cheramin
    Meysam Cheramin
    Operations 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,

    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 Datta
    Sanjeev Datta

    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.

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