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A fuzzy logic approach to assembly line
dc.contributor.author | Fonseca, Daniel J. |
dc.contributor.author | Elam, Matthew |
dc.contributor.author | Karr, Charles L. |
dc.contributor.author | Guest, C.L. |
dc.date.accessioned | 2006-10-27T16:18:45Z |
dc.date.available | 2006-10-27T16:18:45Z |
dc.date.issued | 2005 |
dc.identifier.issn | 1134-5632 |
dc.identifier.uri | http://hdl.handle.net/2099/2055 |
dc.description.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. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica |
dc.relation.ispartof | Mathware & soft computing, 2005, vol. 12, núm. 1 |
dc.rights | Reconeixement-NoComercial-CompartirIgual 3.0 Espanya |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject.other | Line balancing |
dc.subject.other | Fuzzy sets |
dc.subject.other | COMSOAL |
dc.subject.other | Ranked positional weighting technique |
dc.title | A fuzzy logic approach to assembly line |
dc.type | Article |
dc.subject.lemac | Producció -- Planificació |
dc.subject.lemac | Lògica difusa |
dc.subject.ams | Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science |
dc.rights.access | Open Access |