Showing posts with label industry. Show all posts
Showing posts with label industry. Show all posts

Friday, April 20, 2012

Competition in the Railway Industry: An International Comparative Analysis (Transport Economics, Management, and Policy)

Competition in the Railway Industry: An International Comparative Analysis (Transport Economics, Management, and Policy) Review



Numerous countries have attempted to improve the performance of their railways by introducing more competition, but there is fierce debate and no consensus on how this is best achieved. This book reveals how railways were an obvious target for reform because they were often losing traffic and money, and because the government was typically deeply involved as either owner or regulator. This book summarizes and assesses the evidence from the experiences of rail reform in Europe, Latin America, and the United States. In short, the book reveals that no one approach has proven to be best across a wide variety of circumstances. It highlights how unbundling (separating infrastructure from train operations so that independent train operators could compete over common tracks) although attractive in theory, has so far proved complex to implement and delivered only some of the promised benefits. Privatization and deregulation have had more demonstrated success in the freight systems of North and South America, but are still largely untested in the more complex railway networks of Europe. The evidence is arguably slightly stronger for privatization and deregulation than for unbundling, but the jury is still out. "Competition in the Railway Industry" is invaluable in that it compares the strategies and experiences of different countries in introducing competition in railways, rather than simply focusing on one country and its approach. As such, it will appeal greatly to those in industry and government interested in railway policy and performance, and privatization and deregulation of utilities more generally. It will also appeal to academics and researchers of public sector, transport and industrial organization.


Saturday, October 1, 2011

Incorporation of reverse logistics model into in-plant recycling process: A case of aluminium industry [An article from: Resources, Conservation & Recycling]

Incorporation of reverse logistics model into in-plant recycling process: A case of aluminium industry [An article from: Resources, Conservation & Recycling] Review



This digital document is a journal article from Resources, Conservation & Recycling, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
In order to maximize the efficiency of ever increasing aluminium recycling, different mutually related aspects need to be optimised. Economic efficiency of aluminium recycling is crucially dependent on the costs, arising at different stages of recycling process. Among these, transportation costs represent very important part of overall cost balance. The general model, based on the principles of reverse logistics, was developed and applied with the aim of reducing the extent of internal aluminium scrap transportation required between certain production units of an aluminium manufacturing plant. Linear optimisation model was used for calculating minimum annual transport costs and optimal way of in-plant transport for two transport models in order to determine the most efficient option. In case of in-plant aluminium recycling only collected aluminium materials are transported which means that the most important factors in such case are fixed transport costs and variable transport costs, latter depending on distance, transported quantity, energy used for transport and other operating costs. In the first transport model, the direct transport of collected aluminium scrap from each individual source to in-plant processing units was assumed. In the second transport model, one collection site was assumed where scrap is collected and then transported to in-plant processing units. The optimisation model was also applied for determining a dependence of optimal transport model on annual quantities transported internally and on the distances between sources and processing units. It was found out that the annual transported quantities and distances between sources and in-plant processing units have a significant impact on the optimal transport model. The developed optimisation model showed that environmental and economic objectives are not always in conflict. It is also shown and commented which aspects influence reverse logistics model for in-plant recycling.