Scheduling comparison between multi-objective mathematical models and genetic algorithms approach in the textile industry
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inderscience Publishers
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper discusses mixed integer mathematical models and genetic algorithms (GAs) approach for finding an optimal schedule of the bottleneck machine for a company in the textile industry. Single-objective and multi-objective mathematical models and GA are used to obtain an optimal solution to minimise the maximum tardiness (Tmax). The comparison is made between mathematical models and GA according to the primary and secondary performance measures. Primary performance measure is Tmax, while secondary performance measure is number of tardy jobs (nt) and total tardiness (TT) values. The experimentation is performed for small and large size problems. All jobs have five different instances except for 150-job and 200-job problems. Due to memory and time limitations, only one sample could be solved for 150-job and 200-job problem. The experimental results indicated that, most of the time GA finds an optimal solution and proposes alternative schedules for both single-objective and multi-objective mathematical models. © Copyright 2016 Inderscience Enterprises Ltd.
Açıklama
Anahtar Kelimeler
Genetic algorithm approach, Mixed integer programming model, Multi-objective models, Scheduling, Single objective model, Textile manufacturing
Kaynak
International Journal of Services and Operations Management
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
25
Sayı
2
