Optimization Models for Rail Car Fleet Management

This book PDF is perfect for those who love Electronic Books genre, written by Milos Milenkovic and published by Unknown which was released on 15 September 2019 with total hardcover pages 284. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Optimization Models for Rail Car Fleet Management books below.

Optimization Models for Rail Car Fleet Management
Author : Milos Milenkovic
File Size : 41,7 Mb
Publisher : Unknown
Language : English
Release Date : 15 September 2019
ISBN : 9780128151549
Pages : 284 pages
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Optimization Models for Rail Car Fleet Management by Milos Milenkovic Book PDF Summary

Optimization Models for Rail Car Fleet Management represents the result of multi-year efforts to provide readers with insights into one of the most important areas of railway transport management. The book covers mathematical procedures for the effective and efficient utilization of railway freight cars, developed models for optimization methods, heterogeneity and partial substitutability of freight cars, research and development in rail freight car fleet management models, and the stochastic and dynamic nature of the supply, demand and traveling time of freight cars, among other topics. Summarizes the authors past research efforts in the field of rail freight car fleet management Presents various approaches that include the application of a variety of optimization techniques Contains centralized, decentralized, distributed perspectives considered under the assumption of deterministic, stochastic, fuzzy and fuzzy stochastic parameters

Optimization Models for Rail Car Fleet Management

Optimization Models for Rail Car Fleet Management represents the result of multi-year efforts to provide readers with insights into one of the most important areas of railway transport management. The book covers mathematical procedures for the effective and efficient utilization of railway freight cars, developed models for optimization methods, heterogeneity

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