When they start their supply chain education journey, every supply chain rookie reads a definition of the supply chain that goes like…it is a flow of materials, information…yada yada.
Material flow does follow a chain pattern.
But information?
Data?
Transactional data? Yes- it follows the flow of materials.
But when it comes to the flow of this data for planning and analytics, does this “chain thinking” constrain us?
In this first installment of the “Think About It” video series, I provide my perspectives on why when it comes to planning and analytics, the chain view, or the jargon-rich “end-to-end” view, may not be the correct way to look at supply chains.
The good news is that even if you have invested in point systems that are rigidly focused on this “chain thinking,” you can create that holistic view of planning and analytics by leveraging these systems.
Kumar Singh is the founder of Designed Analytics LLC, which is focused on helping organizations explore how to leverage data and analytics to effectively compete, thrive and innovate.
Kumar has over a decade of hands-on experience in supply chain and operations analytics. With over a decade of industry experience, he has worked across multiple industries, helping companies set up analytics centers of excellence.
Post his industry experience, Kumar also did a stint in external consulting as a data science consultant with Boston Consulting Group (BCG). Kumar holds an MSc. in AI from Liverpool John Moores University, a Masters in Supply Chain from The Ross School of Business at The University of Michigan, Ann Arbor, an MBA in Operations Management from IIT Roorkee, India, and an undergraduate degree in Electrical engineering.
Kumar is ASCM CPIM, CSCP, and CLTD certified and holds the PMP certification from PMI. He is also an AWS-certified Machine Learning Specialist and Microsoft certified in the Azure IoT developer specialty.
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