Heuristic methods for the leather nesting problem in the automotive industry
Year of publication: |
2016
|
---|---|
Authors: | Pinto, Telmo Miguel Pires ; Alves, Cláudio Manuel Martins ; Carvalho, José Manuel Vasconcelos Valério de ; Brás, Pedro Alexandre Fonseca |
Published in: |
International journal of business excellence. - Genève : Inderscience Enterprises Ltd., ISSN 1756-0047, ZDB-ID 2458823-4. - Vol. 9.2016, 3, p. 332-347
|
Subject: | decision support systems | operations research | heuristics | enterprise applications | tools | combinatorial optimisation | residual cutting stock | local search | nesting problem | Heuristik | Heuristics | Management-Informationssystem | Management information system | Kfz-Industrie | Automotive industry | Operations Research | Operations research | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Packproblem | Packing problem |
-
Approximation algorithms for the 𝜅⁺-star packing problem
Huang, Zhihua, (2025)
-
A two-dimensional bin-packing problem with conflict penalties
Li, Kunpeng, (2014)
-
Supphakorn Sumetthapiwat, (2020)
- More ...
-
New constructive algorithms for leather nesting in the automotive industry
Alves, Cláudio Manuel Martins, (2012)
-
Ramos, Bruna, (2020)
-
Arc flow formulations based on dynamic programming : theoretical foundations and applications
Lima, Vinícius Loti de, (2022)
- More ...