Paper Info
Title
Resolving the Manufacturing Cell Design Problem Using the Flower Pollination Algorithm.
Abstract
The Manufacturing cell design problem focuses on the creation of an optimal distribution of the machinery on a productive plant, through the creation of highly independent cells where the parts of certain products are processed. The main objective is to reduce the movements between this cells, decreasing production times, costs and getting other advantages. To find solutions to this problem, in this paper, the usage of the Flower Pollination Algorithm is proposed, which is one of the many nature-based algorithms, which in this case is inspired in the Pollination of the flowers, and has shown great capacities in the resolution of complex problems. Experimental results are shown, with 90 instances taken from Boctor's experiments, where the optimum is achieved in all them.
Year
DOI
Venue
2016
10.1007/978-3-319-49397-8_16
Lecture Notes in Computer Science
Keywords
Field
DocType
Manufacturing cell design problem,Flower pollination algorithm,Metaheuristics,Optimization
Manufacturing cell,Computer science,Algorithm,Pollination,Metaheuristic,Complex problems
Conference
Volume
ISSN
Citations 
10053
0302-9743
1
PageRank 
References 
Authors
0.35
7
7
Name
Order
Citations
PageRank
Ricardo Soto119447.59
Broderick Crawford244673.74
Rodrigo Olivares3459.07
Michele De Conti410.35
Ronald Rubio510.35
Boris Almonacid6165.40
Stefanie Niklander722.38