A fuzzy linear fractional programming approach to design of distribution networks
This paper studies the distribution network design problem considering the uncertain information in the demand, capacities, costs and prices in a multi-product environment and multiple periods. We consider a fractional objective function that consist in maximize the ratio between total profit and to...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23749
- Acceso en línea:
- https://doi.org/10.1007/978-3-030-00350-0_9
https://repository.urosario.edu.co/handle/10336/23749
- Palabra clave:
- Costs
Electric power distribution
Fuzzy sets
Linear programming
Mathematical transformations
Product design
Facility location problem
Fuzzy-constraint
Linear fractional programming
Multi objective
Multi-products
Network design problems
Objective functions
Uncertain informations
Problem solving
Distribution network
Fuzzy linear fractional programming
Fuzzy sets
Linear fractional programming
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
Summary: | This paper studies the distribution network design problem considering the uncertain information in the demand, capacities, costs and prices in a multi-product environment and multiple periods. We consider a fractional objective function that consist in maximize the ratio between total profit and total cost. We use a model that integrates a facility location problem with a distribution network problem with fuzzy constraints, technological coefficients, and costs. To solve the problem, we use a method that transform the fuzzy linear fractional programming model in an equivalent multi-objective linear fractional programming problem to calculate the upper, middle and lower bounds of the original problem. © 2018, Springer Nature Switzerland AG. |
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