Supply Chain Management on Demand

Strategies, Technologies, Applications

  • Chae An
  • Hansjörg Fromm

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. William Grey, Kaan Katircioglu, Dailun Shi, Sugato Bagchi, Guillermo Gallego, Mark Adelhelm et al.
    Pages 1-16
  3. Steve Buckley, Chae An
    Pages 17-35
  4. Feng Cheng, Markus Ettl, Grace Lin, David D. Yao
    Pages 37-63
  5. Aliza Heching, Ying Tat Leung
    Pages 65-96
  6. Brenda Dietrich, Daniel Connors, Thomas Ervolina, Robin Lougee-Heimer, Robert J. Wittrock, J.P. Fasano
    Pages 97-115
  7. Robert Guttman, Jayant Kalagnanam, Rakesh Mohan, Moninder Singh
    Pages 117-142
  8. Colin Kessinger, Heiko Pieper
    Pages 143-165
  9. Moritz Fleischmann, Jo van Nunen, Ben Gräve, Rainer Gapp
    Pages 167-186
  10. Michel W.F.M. Draper, Alex E.D. Suanet
    Pages 187-210
  11. Santhosh Kumaran, Kumar Bhaskaran
    Pages 211-232
  12. Chris Nøkkentved
    Pages 233-286
  13. Steve Buckley, Markus Ettl, Grace Lin, Ko-Yang Wang
    Pages 287-311
  14. Back Matter
    Pages 313-331

About this book

Introduction

During the last years, the competitive pressures and short product lifecycles have caused many manufacturing and retail companies to focus on supply chain management practices and applications. Continuing shifts in the geopolitical situation (e.g. NAFTA, Extension of European Union) and emerging markets (e.g. Eastern Europe and China) opened new business opportunities and at the same time kept companies busy revising their supply chain structures such as manufacturing locations, warehouse locations, inbound logistics, and distribution operations. This led to an increased demand in strategic supply chain planning tools such as supply chain simulators and location optimization tools.

New techniques and practices for highly efficient supply chain management are being made possible by the rapid progress in information and communication technologies, laying the foundation for a new wave of applications.

Connectivity and the integration of business processes have laid the foundations for an increased visibility over the entire supply chain. Software technologies like portals, data warehouses, reporting systems, and on-line analytical processing (OLAP) are providing the necessary information and visibility for the decision makers. The next step is to assist the decision maker to quickly and optimally respond to unexpected situations. Intelligent analytics can automatically determine the best decision alternative and predict its consequence on the supply chain performance. We use the phrase "sense and respond" to characterize such a supply chain management system that is able to respond quickly and optimally to unexpected situations.

These chapters of this book were written by supply chain researchers, consultants, and supply chain practitioners who have not only developed the practices but have deployed these practices in various supply chains at IBM and other companies.

Keywords

Logistics Logistics Management Performance Performance Management Supply Chain Simulation business distribution management optimization supply chain planning

Editors and affiliations

  • Chae An
    • 1
  • Hansjörg Fromm
    • 2
  1. 1.IBM Software GroupSomersUSA
  2. 2.IBM Business Consulting ServicesStuttgartGermany

Bibliographic information

  • DOI https://doi.org/10.1007/b138951
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-24423-3
  • Online ISBN 978-3-540-27354-7
  • About this book