Parallel Machine Scheduling Problems with Fuzzy Processing Time and Fuzzy Duedate: An Application in an Engine Valve Manufacturing Process
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
OLD CITY PUBLISHING INC
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the conventional scheduling problem, the parameters such as the processing time for each job and due dates are usually assumed to be known exactly, but in many real-world applications, these parameters may vary dynamically due to human factors or operating faults. During the last decade, several works on scheduling problems used fuzzy approach with uncertain or imprecise data. In this study we present a fuzzy logic based tool for parallel machine scheduling problems. For solving this problem, a Genetic algorithm is proposed. Also an application is made in an engine valve manufacturing firm in Konya Turkey. The results show that fuzzy based scheduling problems solved by genetic algorithms are effective and efficient for industrial manufacturing processes
Açıklama
12th International Conference on Fuzzy Theory and Technology -- JUL 18-24, 2007 -- Salt Lake City, UT
Anahtar Kelimeler
Parallel machine scheduling, fuzzy processing time, fuzzy due date, Genetic algorithm
Kaynak
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
15
Sayı
02.03.2020
