Titlebook: Quantitative Methods in Supply Chain Management; Models and Algorithm Ioannis T. Christou Book 2012 Springer-Verlag London Limited 2012 Dec

Ceremony

Forecasting,nd, greatly assisting in its survival. The ability to foretell the future has always been a major source of power. On the other hand, the example of Cassandra, the ancient princess who could clearly see and prophesize catastrophic near-future events but was dismissed as insane by her people, undersc

一再遛

茁壯成長(zhǎng)

prosperity

Epilogue,ent. The focus of this book has been on .: 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

草率男

Inventory Control,, engineers and managers alike, and continues to this day, in both fundamental as well as niche aspects of inventory theory and control. Throughout this chapter, it is assumed that stocked items are non-perishable and therefore have no life-time limitations.

消散

Epilogue,g 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.

vascular

installment

advanced algorithms for some of the most challenging problem.Quantitative Methods in Supply Chain Management. presents some of the most important methods and tools available for modeling and solving problems arising in the context of supply chain management. In the context of this book, “solving pro

態(tài)度暖昧

寬容

Forecasting,, which attempt to measure and predict macro-economic quantities such as business cycles, inflation rates, money supply and currency exchange rates, (b) technological forecasts, whose main purpose is to predict imminent and upcoming technological break-through and innovation, and to a lesser degree