Quantitative Methods in Supply Chain Management

Models and Algorithms

Business & Finance, Management & Leadership, Production & Operations Management, Nonfiction, Computers, Programming, Science & Nature, Technology
Cover of the book Quantitative Methods in Supply Chain Management by Ioannis T. Christou, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ioannis T. Christou ISBN: 9780857297662
Publisher: Springer London Publication: October 5, 2011
Imprint: Springer Language: English
Author: Ioannis T. Christou
ISBN: 9780857297662
Publisher: Springer London
Publication: October 5, 2011
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book Guide to Pediatric Urology and Surgery in Clinical Practice by Ioannis T. Christou
Cover of the book Sir Thomas Lewis by Ioannis T. Christou
Cover of the book Greening Airports by Ioannis T. Christou
Cover of the book Writing for Computer Science by Ioannis T. Christou
Cover of the book Progressive Multiple Sclerosis by Ioannis T. Christou
Cover of the book Definitions, Concepts and Scope of Engineering Asset Management by Ioannis T. Christou
Cover of the book Femtosecond Laser 3D Micromachining for Microfluidic and Optofluidic Applications by Ioannis T. Christou
Cover of the book Sports Cardiology Casebook by Ioannis T. Christou
Cover of the book Manual of Outpatient Cardiology by Ioannis T. Christou
Cover of the book Risk Theory and Reinsurance by Ioannis T. Christou
Cover of the book Pediatric Heart Sounds by Ioannis T. Christou
Cover of the book The Social Life of Avatars by Ioannis T. Christou
Cover of the book Innovative Tools for Business Coalitions in B2B Applications by Ioannis T. Christou
Cover of the book Finite Element Modeling for Materials Engineers Using MATLAB® by Ioannis T. Christou
Cover of the book Practical Urology in Spinal Cord Injury by Ioannis T. Christou
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy