Scheduling Optimization in Manufacturing and Services
Planning and scheduling are forms of decision-making that are used regularly in many manufacturing and service industries such as procurement, production, transportation, and distribution to name but a few. The efficient planning and scheduling functions in a company heavily rely on mathematical optimization techniques that allocate limited resources to the activities to be done. This allocation of resources has to be done in such a way that the company optimizes its objectives and achieves its goals such as minimizing the time to complete all activities, minimizing the number of activities that are completed after the committed due dates, and so on. To that end, state-of-the-art optimization solvers play an important role in developing efficient scheduling and planning solutions. Join our interactive webinar to learn about optimization use cases for scheduling in manufacturing and services and the role of optimization solvers in those use cases. Meysam Cheramin, Operations Research Specialist of Cresco International, and Sanjeev Datta, CEO of Cresco International, are the speakers of this webinar. 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.
- Inventory Optimization and Its Integration with Demand Planning
- Aug 03 2022
TimeCentral Time (UTC-06:00)
- 11:00 am - 12:00 pm