@article{1468168,
      recid = {1468168},
      author = {Li, Li, and Yu, Qingyun, and Lin, Kuo-Yi, and Ma, Yumin,  and Qiao, Fei,},
      title = {Data-driven scheduling of semiconductor manufacturing  systems /},
      pages = {1 online resource (xi, 266 pages) :},
      abstract = {This book systematically discusses the intelligent  scheduling problem of complex semiconductor manufacturing  systems from theory to method and then to application. The  main contents include data-driven scheduling framework of  semiconductor manufacturing system, data preprocessing of  semiconductor manufacturing system, correlation analysis of  performance index of semiconductor production line,  intelligent release control strategy, dynamic dispatching  rules simulating pheromone mechanism, and load balancing  dynamic scheduling of semiconductor production line,  performance index-driven dynamic scheduling method of  semiconductor production line, scheduling trend of  semi-conductor manufacturing system in big data  environment. This book aims to provide readers with  valuable reference and assistance in the theoretical  methods, techniques, and application cases of semiconductor  manufacturing systems and their intelligent scheduling. .},
      url = {http://library.usi.edu/record/1468168},
      doi = {https://doi.org/10.1007/978-981-19-7588-2},
}