Hybrid algorithms & MIP models for unrelated parallel machine scheduling - Y_lmaz Eroglu, Duygu
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Scheduling is one of the main operations in the production industry and is studied in millions of studies by researchers. Unrelated parallel machines scheduling problem with job sequence, machine dependent setup times and also job splitting property are the main scope of this book. Splitting the jobs into sub jobs is a great requirement for some industries (e.g.: weaving process of textile manufacturing, drilling process of PCB manufacturing, dicing process of semiconductor wafer manufacturing). Additionally, the proposed algorithms are adapted on the problems that do not have job splitting…mehr

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Produktbeschreibung
Scheduling is one of the main operations in the production industry and is studied in millions of studies by researchers. Unrelated parallel machines scheduling problem with job sequence, machine dependent setup times and also job splitting property are the main scope of this book. Splitting the jobs into sub jobs is a great requirement for some industries (e.g.: weaving process of textile manufacturing, drilling process of PCB manufacturing, dicing process of semiconductor wafer manufacturing). Additionally, the proposed algorithms are adapted on the problems that do not have job splitting property. It's shown that the developed hybrid algorithms outperformed most of the methods in literature. The proposed algorithms are verified by developed MIP models in the book.
Autorenporträt
Duygu Y¿lmaz Ero¿lu received her MS in industrial engineering in 2003 and a PhD in operations research in 2014 from Uludä University. Her current researches focus on mathematical programming and heuristic methods on scheduling, logistics and data mining. She was born in 1979, in Bursa. She has a son and a daughter.