• Journals
  • Discipline
  • Indexed
  • Institutions
  • About
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Universidad de Tarapacá
  • Ingeniare: Revista Chilena de Ingeniería
  • View Item
  •   Home
  • Universidad de Tarapacá
  • Ingeniare: Revista Chilena de Ingeniería
  • View Item

A GRASP METAHEURISTIC FOR THE ORDERED CUTTING STOCK PROBLEM

Author
Rabello Golfeto,Rodrigo

Moretti,Antônio Carlos

Neto,Luiz Leduíno de Salles

Full text
https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-33052008000300005
Abstract
This study presents a new mathematical model and a Greedy Randomized Adaptive Search Procedure (GRASP) meta-heuristic to solve the ordered cutting stock problem. The ordered cutting stock problem was recently introduced in literature. It is appropriate to minimize the raw material used by industries that deal with reduced product inventories, such as industries that use the just-in-time basis for their production. In such cases, classic models for solving the cutting stock problem are useless. Results obtained from computational experiments for a set of random instances demonstrate that the proposed method can be applied to large industries that process cuts on their production lines and do not stock their products.
Metadata
Show full item record
Discipline
Artes, Arquitectura y UrbanismoCiencias Agrarias, Forestales y VeterinariasCiencias Exactas y NaturalesCiencias SocialesDerechoEconomía y AdministraciónFilosofía y HumanidadesIngenieríaMedicinaMultidisciplinarias
Institutions
Universidad de ChileUniversidad Católica de ChileUniversidad de Santiago de ChileUniversidad de ConcepciónUniversidad Austral de ChileUniversidad Católica de ValparaísoUniversidad del Bio BioUniversidad de ValparaísoUniversidad Católica del Nortemore

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister
Dirección de Servicios de Información y Bibliotecas (SISIB) - Universidad de Chile
© 2019 Dspace - Modificado por SISIB