WEBINAR / EVENT
Ask the Experts: Technician Routing & Scheduling Problem
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
September 1 2022
WEBINAR / EVENT
Ask the Experts: Technician Routing & Scheduling Problem
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
September 1 2022
WEBINAR / EVENT
Ask the Experts: Technician Routing & Scheduling Problem
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
September 1 2022
Webinar Summary
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
Presenters
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning at the services industry, supply chain planning, CRM, transportation and logistics, and operating room Scheduling. Santos has a Bachelor’s degree in applied mathematics from the University of Mexico (UNAM), and a Master and PhD degrees in Operations Research from the University of Waterloo in Canada.
Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has extensive research experience in optimization modeling and algorithm design with industry applications in supply chain design, resource planning, vehicle routing and scheduling. His past and ongoing research projects are funded by the Army Research Office, USDOT, ASCM, and HP Labs, Express Scripts and Ameren in the private sector. Dr. Li has published more than 30 peer reviewed journal articles and serves as Associate Editor of the Journal of the Operational Research Society. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year.
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic — working as a member of the Gurobi Support Team.
Presented Materials
You can download the slides presented in this webinar here.
Webinar Summary
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
Presenters
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning at the services industry, supply chain planning, CRM, transportation and logistics, and operating room Scheduling. Santos has a Bachelor’s degree in applied mathematics from the University of Mexico (UNAM), and a Master and PhD degrees in Operations Research from the University of Waterloo in Canada.
Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has extensive research experience in optimization modeling and algorithm design with industry applications in supply chain design, resource planning, vehicle routing and scheduling. His past and ongoing research projects are funded by the Army Research Office, USDOT, ASCM, and HP Labs, Express Scripts and Ameren in the private sector. Dr. Li has published more than 30 peer reviewed journal articles and serves as Associate Editor of the Journal of the Operational Research Society. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year.
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic — working as a member of the Gurobi Support Team.
Presented Materials
You can download the slides presented in this webinar here.
Webinar Summary
In this session, we will share the latest Jupyter Notebook Modeling Example featuring a Technician Routing & Scheduling Demo. We will showcase a mixed-integer programming model to simultaneously optimize the technician routing and scheduling (TRS) decisions at a telecommunications firm. Example scenarios and solution visualization will be demonstrated.
Presenters
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning at the services industry, supply chain planning, CRM, transportation and logistics, and operating room Scheduling. Santos has a Bachelor’s degree in applied mathematics from the University of Mexico (UNAM), and a Master and PhD degrees in Operations Research from the University of Waterloo in Canada.
Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has extensive research experience in optimization modeling and algorithm design with industry applications in supply chain design, resource planning, vehicle routing and scheduling. His past and ongoing research projects are funded by the Army Research Office, USDOT, ASCM, and HP Labs, Express Scripts and Ameren in the private sector. Dr. Li has published more than 30 peer reviewed journal articles and serves as Associate Editor of the Journal of the Operational Research Society. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year.
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic — working as a member of the Gurobi Support Team.
Presented Materials
You can download the slides presented in this webinar here.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Haitao Li
Professor of Supply Chain & Analytics at University of Missouri
Dr. Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has years’ of research experience in optimization modeling and algorithm design, and has been actively working with industry in the application domains of supply chain optimization, resource planning, project scheduling and vehicle routing, among others. He was a recipient of the Young Investigator Award from the US Army Research Office (ARO) in 2010, the Douglas Durand Award for Research Excellence of UMSL in 2015. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year. Dr. Li currently serves as Associate Editor of the Journal of the Operational Research Society and Transportation Journal.
Pano Santos
Sr. Technical Content Manager at Gurobi Optimization
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
Dan Jeffrey
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic -- working as a member of the Gurobi Support Team.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Haitao Li
Professor of Supply Chain & Analytics at University of Missouri
Dr. Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has years’ of research experience in optimization modeling and algorithm design, and has been actively working with industry in the application domains of supply chain optimization, resource planning, project scheduling and vehicle routing, among others. He was a recipient of the Young Investigator Award from the US Army Research Office (ARO) in 2010, the Douglas Durand Award for Research Excellence of UMSL in 2015. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year. Dr. Li currently serves as Associate Editor of the Journal of the Operational Research Society and Transportation Journal.
Pano Santos
Sr. Technical Content Manager at Gurobi Optimization
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
Dan Jeffrey
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic -- working as a member of the Gurobi Support Team.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Professor of Supply Chain & Analytics at University of Missouri
Haitao Li
Dr. Haitao Li is Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). Dr. Li has years’ of research experience in optimization modeling and algorithm design, and has been actively working with industry in the application domains of supply chain optimization, resource planning, project scheduling and vehicle routing, among others. He was a recipient of the Young Investigator Award from the US Army Research Office (ARO) in 2010, the Douglas Durand Award for Research Excellence of UMSL in 2015. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year. Dr. Li currently serves as Associate Editor of the Journal of the Operational Research Society and Transportation Journal.
Sr. Technical Content Manager at Gurobi Optimization
Pano Santos
Dr. Santos is a Sr. Technical Content Manager at Gurobi Optimization. Santos retired from Hewlett-Packard Enterprise as Distinguished Technologist. During his 23 years at HP Labs, he developed and implemented several decision support tools of mathematical programming applications for workforce planning in the services industry, supply chain planning, CRM, transportation and logistics, and operating room scheduling. Santos has a Bachelor’s degree in Applied Mathematics from the University of Mexico (UNAM), and Masters and PhD degrees in Operations Research from the University of Waterloo in Canada.
Dan Jeffrey
Dan Jeffrey has twenty years of professional experience in Math Programming and Data Science, working as a technical product expert and as a consultant. He has architecture and programming expertise with all major computer programming languages, math programming experience with Python, AMPL, and OPL plus programming expertise with the AMPL Solver library. Today, Dan is a MIP Fanatic -- working as a member of the Gurobi Support Team.
