A benchmark dataset for multi-objective flexible job shop cell scheduling
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent family setup and intercellular transportation times, and recirculation requiring minimization of makespan and total tardiness simultaneously. It is called a flexible job shop cell scheduling problem with sequence dependent family setup times and intercellular transportation times (FJCS-SDFSTs-ITTs) problem. The dataset has been developed to evaluate the multi-objective evolutionary algorithms of the FJCS-SDFSTs-ITTs problems that are presented in 'Evolutionary algorithms for multi-objective flexible job shop cell scheduling'. The dataset contains forty-three benchmark instances from 'small' to 'large', including a large real-world problem instance. Researchers can use the dataset to evaluate the future algorithms for the FJCS-SDFSTs-ITTs problems and compare the performance with the existing algorithms.
Açıklama
Anahtar Kelimeler
Cell Scheduling, Flexible Job Shop Scheduling, Multi-objective Model, Sequence-dependent Family Setup Times, Intercellular Transportation Times, Exceptional and Reentrant Parts
Kaynak
Data in Brief
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
52
