A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation
Computational evaluation
Scheduling
ESTADISTICA E INVESTIGACION OPERATIVA
0202 electrical engineering, electronic engineering, information engineering
Heuristics
Metaheuristics
02 engineering and technology
Flowshop
DOI:
10.1016/j.ejor.2016.09.055
Publication Date:
2016-10-11T15:26:54Z
AUTHORS (3)
ABSTRACT
Ministerio de Ciencia e Innovación DPI2013-44461-P/DPI<br/>Ministerio de Ciencia e Innovación DPI2015-65895- R<br/>The permutation flowshop problem is a classic machine scheduling problem where n jobs must be processed on a set of m machines disposed in series and where each job must visit all machines in the same order. Many production scheduling problems resemble flowshops and hence it has generated much interest and had a big impact in the field, resulting in literally hundreds of heuristic and metaheuristic methods over the last 60 years. However, most methods proposed for makespan minimisation are not properly compared with existing procedures so currently it is not possible to know which are the most efficient methods for the problem regarding the quality of the solutions obtained and the computational effort required. In this paper, we identify and exhaustively compare the best existing heuristics and metaheuristics so the state-of-the-art regarding approximate procedures for this relevant problem is established.<br/>
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (103)
CITATIONS (170)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....