Introduction to data driven logistics

Learn the basic concepts of data driven logistics, become familiar with new trends, and understand what is required to transition to data-driven logistics.

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This course is part of
Transforming Logistics with Analytics
Authors
Chrisoula Papadopoulou & Arjen Wierikx
price
Free

About the course

In this course, you will learn the basic concepts of data driven logistics, become familiar with new trends, and understand what is required to transition to data-driven logistics. Data-driven logistics describes any company that uses data to decide how to manage, plan, and create value in their logistics operations. Data-driven logistics companies have some common core elements: data competency, digital maturity, and data structure. The role of (big) data in data-driven Logistics is discussed by 5 elements; volume, velocity, variety, veracity, and value. Next, the three key elements data collection, data analysis, and data-driven decision-making are explained, and how they are utilized in practice. This chapter also shows the current trends in data-driven logistics: sensing, analysis, decision-making collaboration, infrastructure, and sustainability. In the future, the concept of Physical Internet will be explained as the organizing principle of future data-driven logistics systems. Finally, this module will end with an elaboration on how to become a data-driven logistics company. 

More about the authors

Chrisoula Papadopoulou

Dr Chrisoula Papadopoulou, MBA, PhD is a principal lecturer and programme coordinator of the Master in International Supply Chain Management at the Rotterdam Business School, Hogeschool Rotterdam. She specialises in supply chain innovation and value creation with a focus on digital maturity. In the past, she held senior supply chain positions in the US and EU and she is currently the president of the CSCMP Benelux R/T (Council of Supply Chain Management Professionals).


Arjen Wierikx

Ir Arjen Wierikx is a Senior Researcher and Lecturer at HU University of Applied Sciences Utrecht and a Ph.D. candidate at Eindhoven University of Technology. He is acquainted with the Bachelor of Logistics Management and the Master of Data Driven Business, primarily coaching students in their final thesis. Within the research group Process Innovation & Information Systems, his research focuses on making Circular Performance of Organisations measurable and explicating the effect of Digital Technology Strategies on this Performance. Arjen holds an MSc degree in Civil Engineering from TU Delft and a post-hbo degree in coaching from Phoenix.  He has a strong background in Logistics, Information, and Change Management.  Prior to joining the HU, he worked for TNO and Baan (Infor) and has been running his own consulting firm for over 20 years.

This publication is part of the project ‘small projects 2022 route transport and logistics' with project number NWA.1418.22.023 which is financed by the Dutch Research Council (NWO).