• Ioannis T. Christou


With this short chapter, we come to the end of a journey into modeling and solving problems related to the field broadly known as Supply Chain Management. The focus of this book has been on quantitative methods: rigorous modeling and analysis of the problem at hand, and systematic development of efficient algorithms for solving it. Starting with a review of the major ideas behind linear, nonlinear and combinatorial optimization, we discussed the methods for demand forecasting, advanced planning and scheduling techniques, inventory control under deterministic or stochastic demand, facility location theory and algorithms, and distribution management. The problems we studied have all been cast as optimization problems, and exact or heuristic approaches to solving them were presented. Important developments in the field of optimization algorithm design as well as in the fields of computer architecture and hardware design have made it possible to solve NP-hard problems arising in Supply Chain Management that were completely out of reach just 10 years ago.


Supply Chain Management Demand Forecast Stochastic Demand Electronic Data Interchange Distribution Management 
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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Athens Information TechnologyPaianiaGreece

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