Optimization Models For Rail Car Fleet Management
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| Author | : Milos Milenkovic |
| Publisher | : Elsevier |
| Total Pages | : 286 |
| Release | : 2019-09-09 |
| Genre | : Social Science |
| ISBN | : 0128151552 |
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
| Author | : Milos Milenkovic |
| Publisher | : Elsevier |
| Total Pages | : 284 |
| Release | : 2019-09-07 |
| Genre | : Social Science |
| ISBN | : 0128151544 |
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.
| Author | : Chee Peng Lim |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 539 |
| Release | : 2010-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 3642136397 |
Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
| Author | : |
| Publisher | : |
| Total Pages | : 588 |
| Release | : 2005 |
| Genre | : Electronic journals |
| ISBN | : |
Publishes original contributions and surveys associated with all modes of transportation, including planning, design, economic, operational, and social.
| Author | : |
| Publisher | : |
| Total Pages | : 232 |
| Release | : 1990 |
| Genre | : Transportation |
| ISBN | : |
| Author | : RUSZCZYNSK |
| Publisher | : North Holland |
| Total Pages | : 708 |
| Release | : 2003-10-09 |
| Genre | : Business & Economics |
| ISBN | : |
Brings together leading in the most important sub-fields of stochastic programming to present a rigourous overview of basic models, methods and applications of stochastic programming. The text is intended for researchers, students, engineers and economists, who encounter in their work optimization problems involving uncertainty.
| Author | : |
| Publisher | : |
| Total Pages | : 652 |
| Release | : 1986 |
| Genre | : Dissertations, Academic |
| ISBN | : |
| Author | : Bruce L. Golden |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 584 |
| Release | : 2008-07-20 |
| Genre | : Business & Economics |
| ISBN | : 0387777784 |
In a unified and carefully developed presentation, this book systematically examines recent developments in VRP. The book focuses on a portfolio of significant technical advances that have evolved over the past few years for modeling and solving vehicle routing problems and VRP variations. Reflecting the most recent scholarship, this book is written by one of the top research scholars in Vehicle Routing and is one of the most important books in VRP to be published in recent times.
| Author | : Bala Shetty |
| Publisher | : |
| Total Pages | : 328 |
| Release | : 1989 |
| Genre | : Mathematical optimization |
| ISBN | : |
| Author | : A. G. de Kok |
| Publisher | : |
| Total Pages | : 786 |
| Release | : 2003-12-05 |
| Genre | : Business & Economics |
| ISBN | : |
This handbook contains chapters covering a broad range of supply chain management issues written by leading experts in the field. It is aimed at researchers, students, engineers, economists and managers involved in supply chain management.
