English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Ethanol storage tanks location in Brazil: a mixed integer program model application The main purpose of this research is to develop a mathematical model intended for strategic analysis of the optimal location and considering suitable volumes for storage ethanol (anhydrous and hydrous) tanks. The Mixed Integer Program – MIP model was based on Brazilian ethanol distribution system. The model considered market parameters as supply, demand, and infrastructure parameters on transportation, storage values as well as their expenses. New construction ethanol tanks expenses also were considered. The months along the sugarcane crop year period of 2006/2007 were referred into the modeling formulation. This formulation allows a seasonal storage, production and demand patterns analysis. Transportation model is the main concern in the total logistics cost minimization from producers to consumers. The model stochastic formulation was elaborated by creating two simulated scenarios and developing a sensitivity analysis. The purpose of the first scenario was to check the model consistency and explore the current ethanol transport and storage infrastructure without considering the possibility of new tank installation. Based on these results, a sensitivity analysis regarding transportation expenses and storage restrictions was elaborated in order to make a comparison with current market practices. In the second scenario, it was considered the construction of new ethanol tanks and the identification of the most suitable places bearing in mind volume capacities. Based on these results, a sensitivity analysis regarding transportation expenses and storage restrictions was elaborated in order to check each location consistency. Results indicated that mills are mostly responsible for ethanol (anhydrous and hydrous) storages maintenance types and that the existing geographic organization of terminals and fuel distributors is inappropriate for ethanol distribution in Brazil. Transportation low flows among terminals and fuel distributors also indicated lack of a better infrastructure for ethanol distribution. The model indicated that main location results for installation of new tanks would be located especially in the countryside of the centersouth states, where allocation and distribution of ethanol from mills to the consumer market would be more competitive. In relation to the new hydrous ethanol tanks, the model indicated appropriated locations for the cities of: Cascavel – PR, Umuarama – PR, Maringá – PR, Lages – SC, Sinop – MT, Limeira – SP e Sorocaba – SP. In the other hand, for anhydrous ethanol, new investments suggested in: Londrina – PR, Cascavel – PR, Guarapuava – PR, Lajes – SC, Santa Maria – RS, Araçatuba – SP, Sinop – MT, Vilhena – RO, Montes Claros – MT, Dourados – MS, Gurupi – TO e Teresina – PI. Finally, the model indicated that the best locations for the establishment of new ethanol tanks would be located in fuel distributors’ bases, once results confirmed that mills have enough storage capacity.

Localização de tanques de armazenagem de álcool combustível no Brasil: aplicação de um modelo matemático de otimização