Supply Chain Segmentation: Best-In-Class Cases, Practical Insights and Foundations, Hardcover/Margarita Protopappa-Sieke

Introduction.- Supply Chain Segmentation Scientific Frameworks.- McKinsey Supply Chain Segmentation Framework.- Philips Segmentation Case Study.- The Supply Chain Segmentation Journey of Volvo CE.- Gardena's Segmentation in a Volatile and Seasonal Market.- Supply Chain Segmentation at Siemens Healthineers.- Steps to Success. About author(s): Margarita Protopappa-Sieke is Associate Professor for Supply Chain Management at the University of Cologne, Germany. She started her academic career as an Assistant Professor at European Business School, Wiesbaden, Germany and as an Assistant Professor at the University of Cologne. She holds a Doctoral Degree from École Polytechnique Fédéral de Lausanne, Switzerland, a Master in Industrial Systems Engineering from Georgia Tech, Atlanta, USA, and a diploma in Production Engineering and Management from Technical University of Crete, Chania, Greece. Her research focusses on Supply Chain Management and Financial Supply Chain Management. e="font-size: 11pt; line-height: 115%; font-family: Calibri, sans-serif; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">Ulrich Thonemann is Professor for Supply Chain Management at the University of Cologne, Germany, and Director of the Department of Supply Chain Management. He started his academic career as a Professor for Supply Chain Management at Stanford University and also holds Master and PhD degrees from Stanford. Before joining academia, he worked as a management consultant at McKinsey & Company in Cologne. His publications appeared in journals such as Management Science, Operations Research, Harvard Business Manager, and the European Journal of Operations Research. His current research focusses on Supply Chain Management, Service Management, and Behavioral Operations and the application of state-of-the-art approaches in industry.