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Exploiting Fashion Features for Floor Storage Systems in the Shoe Industry
Author(s) -
Antonella Meneghetti
Publication year - 2013
Publication title -
international journal of engineering business management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 22
ISSN - 1847-9790
DOI - 10.5772/56834
Subject(s) - forcing (mathematics) , stacking , computer science , variety (cybernetics) , constraint (computer aided design) , order (exchange) , neighbourhood (mathematics) , order picking , space (punctuation) , industrial engineering , simulation , artificial intelligence , engineering , warehouse , mathematics , marketing , business , mechanical engineering , operating system , physics , finance , nuclear magnetic resonance , mathematical analysis
Floor storage systems are used in the shoe industry to store fashion products of seasonal collections of low quantity and high variety. Since space is valuable and order picking must be sped up, stacking of shoeboxes should be optimized. The problem is modelled based on shoe features (model, type, colour, and size) and with the goal of forcing similar boxes into locations close to each other in order to improve workers’ ability to retrieve orders fast. The model is encoded in Constraint Logic Programming and solved comparing different strategies, also using Large Neighbourhood Search. Simulation experiments are run to evaluate how the stacking model affects picking performance

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