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Master's Dissertation
DOI
https://doi.org/10.11606/D.3.2018.tde-23052018-084039
Document
Author
Full name
Johann da Paz Lauterbach
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2018
Supervisor
Committee
Santoro, Miguel Cezar (President)
Mesquita, Marco Aurélio de
Toso, Eli Angela Vitor
Title in Portuguese
Otimização da configuração de cadeia de suprimentos com análise complementar de competitividade dos cenários.
Keywords in Portuguese
Configuração da cadeia de suprimentos,. Otimização da malha logística
Localização industrial
Logística
Pesquisa operacional
Abstract in Portuguese
Este trabalho teve como objetivo avaliar a influência do ambiente competitivo na solução de problemas de localização de instalações e desenho da cadeia desenvolvendo um modelo matemático que captasse simultaneamente muitos dos aspectos práticos que impactam no funcionamento da cadeia de suprimentos. A seleção destes aspectos foi baseada nos comentários e sugestões que autores desta linha de pesquisa propuseram para aprofundamento da literatura da área. Foi desenvolvido um modelo de programação linear inteira mista (PLIM) aplicando-o em um problema exemplo para avaliar a hipótese de que a configuração de menor custo da cadeia não necessariamente proporciona maior acessibilidade ao mercado e, em seguida, o mesmo modelo foi aplicado a um problema real, de maior porte, no setor de fertilizantes.
Title in English
Supply chain network design optimization with additional competitive analysis of scenarios,
Keywords in English
Competitive environment
Facility location
Logistics network optimization
Network design
Abstract in English
The goal of this study was to evaluate the influence of a competitive environment in solving facility location and network design problems by developing a mathematical model that could capture several of the practical aspects that influence both decisions and operations of the supply chain. The selection of these aspects was based on the comments and suggestions proposed by several authors of this field of the literature. The mathematical program developed is based on mixed integer linear programming (MILP) and is firstly applied on an example problem to evaluate the hypothesis that the chain configuration that provides the lowest cost not necessarily also provides the greatest accessibility to the market. Afterwards, the same optimization model is applied to a larger real problem in the fertilizer industry.
 
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Publishing Date
2018-05-24
 
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