Quantitative Methods in Supply Chain Management

Models and Algorithms

  • Ioannis T. Christou

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Ioannis T. Christou
    Pages 1-138
  3. Ioannis T. Christou
    Pages 139-202
  4. Ioannis T. Christou
    Pages 203-267
  5. Ioannis T. Christou
    Pages 269-344
  6. Ioannis T. Christou
    Pages 345-385
  7. Ioannis T. Christou
    Pages 387-389
  8. Back Matter
    Pages 391-397

About this book

Introduction

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 problems” usually means designing efficient algorithms for obtaining high-quality solutions.

The first chapter is an extensive optimization review covering continuous unconstrained and constrained linear and nonlinear optimization algorithms, as well as dynamic programming and discrete optimization exact methods and heuristics. The second chapter presents time-series forecasting methods together with prediction market techniques for demand forecasting of new products and services. The third chapter details models and algorithms for planning and scheduling with an emphasis on production planning and personnel scheduling. The fourth chapter presents deterministic and stochastic models for inventory control with a detailed analysis on periodic review systems and algorithmic development for optimal control of such systems. The fifth chapter discusses models and algorithms for location/allocation problems arising in supply chain management, and transportation problems arising in distribution management in particular, such as the vehicle routing problem and others. The sixth and final chapter presents a short list of new trends in supply chain management with a discussion of the related challenges that each new trend might bring along in the immediate to near future.

Overall, Quantitative Methods in Supply Chain Management may be of particular interest to students and researchers in the fields of supply chain management, operations management, operations research, industrial engineering, and computer science.

Keywords

Decision Support Systems Inventory Control Optimization Algorithms Production Planning Supply Chain Management

Authors and affiliations

  • Ioannis T. Christou
    • 1
  1. 1.Athens Information TechnologyPaiania, AthensGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-766-2
  • Copyright Information Springer-Verlag London Limited 2012
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-0-85729-765-5
  • Online ISBN 978-0-85729-766-2
  • About this book