WEBINAR / EVENT
Labor Strategy Optimization for the Professional Services Industry
People are the biggest asset for the professional services industry, as well as one of its biggest expenses. With the help of strategic workforce planning, a professional service firm can better allocate its available workforce to the demands of service delivery.
September 01 2022
WEBINAR / EVENT
Labor Strategy Optimization for the Professional Services Industry
People are the biggest asset for the professional services industry, as well as one of its biggest expenses. With the help of strategic workforce planning, a professional service firm can better allocate its available workforce to the demands of service delivery.
September 01 2022
WEBINAR / EVENT
Labor Strategy Optimization for the Professional Services Industry
People are the biggest asset for the professional services industry, as well as one of its biggest expenses. With the help of strategic workforce planning, a professional service firm can better allocate its available workforce to the demands of service delivery.
September 01 2022
About This Webinar
This webinar introduces a labor strategy optimization (LSO) problem to prescribe an optimal staffing plan (internal workforce, contingent/contractor workforce, training and re-skilling, and agency workforce) to meet the target revenues of a professional services firm.
This webinar features a modeling approach that captures the richness and complexity of a general service transformation and delivery process, which transforms various input resources into deliverables measured by certain financial metrics. This general modeling framework can be customized to cope with the unique feature and need of a firm for service delivery. These mathematical programming-based models are developed for both the deterministic and stochastic versions of the problem.
This real-life application of managing labor costs was implemented at the former HP Consulting & Integration organization.
In This Webinar, We Discuss:
Motivation and business setting of strategic workforce planning at a professional services firm
Strategic workforce planning problem description and spreadsheet approach
Optimization model formulations and solutions methods
Business impact and managerial insights derived from an LSO application
Lessons learned and best practices in developing and deploying an optimization application
About This Webinar
This webinar introduces a labor strategy optimization (LSO) problem to prescribe an optimal staffing plan (internal workforce, contingent/contractor workforce, training and re-skilling, and agency workforce) to meet the target revenues of a professional services firm.
This webinar features a modeling approach that captures the richness and complexity of a general service transformation and delivery process, which transforms various input resources into deliverables measured by certain financial metrics. This general modeling framework can be customized to cope with the unique feature and need of a firm for service delivery. These mathematical programming-based models are developed for both the deterministic and stochastic versions of the problem.
This real-life application of managing labor costs was implemented at the former HP Consulting & Integration organization.
In This Webinar, We Discuss:
Motivation and business setting of strategic workforce planning at a professional services firm
Strategic workforce planning problem description and spreadsheet approach
Optimization model formulations and solutions methods
Business impact and managerial insights derived from an LSO application
Lessons learned and best practices in developing and deploying an optimization application
About This Webinar
This webinar introduces a labor strategy optimization (LSO) problem to prescribe an optimal staffing plan (internal workforce, contingent/contractor workforce, training and re-skilling, and agency workforce) to meet the target revenues of a professional services firm.
This webinar features a modeling approach that captures the richness and complexity of a general service transformation and delivery process, which transforms various input resources into deliverables measured by certain financial metrics. This general modeling framework can be customized to cope with the unique feature and need of a firm for service delivery. These mathematical programming-based models are developed for both the deterministic and stochastic versions of the problem.
This real-life application of managing labor costs was implemented at the former HP Consulting & Integration organization.
In This Webinar, We Discuss:
Motivation and business setting of strategic workforce planning at a professional services firm
Strategic workforce planning problem description and spreadsheet approach
Optimization model formulations and solutions methods
Business impact and managerial insights derived from an LSO application
Lessons learned and best practices in developing and deploying an optimization application
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.
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.
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.
