The Global Supply Chain Laboratory (GSCL) at the Thomas and Joan Read Center works closely with our industry partners and the Texas A&M University Industrial Distribution Program, generating knowledge and conducting projects that codify new best practices and create competitive advantages. The professional researcher engineers at the GSCL create cutting-edge solutions for wholesale and industrial distribution channels, and provide answers to distribution and supply chain management challenges.
The Global Supply Chain Lab has conducted many years of research into common distribution problems, and has published its solutions in specific areas. More detailed information on the areas of study, along with information on where to access the research in book format can be found below.
Why Choose the GSCL?
The Global Supply Chain Lab team at the Thomas & Joan Read Center has been conducting research projects for more than 20 years with industry partners. The Lab has created some of the most significant and broadly implemented distribution focused best practices such as Customer Stratification, Inventory Stratification, Pricing Optimization, and Network Optimization, along with many
specialized, highly tailored projects.
Projects include business process optimization and profitability analysis and other customized
applications. The research team applies and documents best practices specific to the firm.
As the project matures, the team also designs an educational program that explains and trains
company specialists on findings and new processes in a business workshop that facilitates change
management and teaches teams how to leverage the new practices.
The information is organized very well, supported by robust research specifically on the distribution industry, presented in an easily digestible manner, and linked to real-world examples to help convert concepts into actionable items.”
-David A. Larson, VP Operations, DW Distribution Inc.
Business Analytics Unit
The Business Analytics Unit at the GSCL is tasked with creating cutting-edge solutions for wholesale and industrial distribution channels using advanced data analytics techniques and machine learning.
Current Business Analytics Projects include:
- ETL Based Analytics Engine
- Customer Churn Predictions
- Product Recommendation Engine