A fuzzy logic approach to assembly line
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099/2055
Tipus de documentArticle
Data publicació2005
EditorUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper deals with the use of fuzzy set theory as a viable alternative
method for modelling and solving the stochastic assembly line balancing
problem. Variability and uncertainty in the assembly line balancing problem
has traditionally been modelled through the use of statistical distributions.
This may not be feasible in cases where no historical data exists. Fuzzy set
theory allows for the consideration of the ambiguity involved in assigning
processing and cycle times and the uncertainty contained within such time
variables. Two widely used line balancing methods, the COMSOAL and
Ranked Positional Weighting Technique, were modified to solve the balancing
problem with a fuzzy representation of the time variables. The paper shows
that the new fuzzy methods are capable of producing solutions similar to, and
in some cases better than, those reached by the traditional methods.
ISSN1134-5632
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fonseca.pdf | 95,24Kb | Visualitza/Obre |