@inproceedings{534879744c6443ae9d1627bd5f32748d,
title = "Intelligent Scheduling for a Rolling Process in Steel Production Systems",
abstract = "A wire rod and bar rolling process is important in steel production systems. Its scheduling problem involves the constraints on sequence-dependent family setup time and release time. This work intends to schedule the batches with multiple jobs to minimize the number of late jobs. An important characteristic of this problem is that the number of late jobs within a batch varies with its start time. Given a start time of a batch, the number of late jobs within it can be derived. Two problem-specific scatter search algorithms are developed to solve this problem. They are tested on a benchmark with 120 instances whose optimal solutions are known and compared with an exact method. It shows that they can effectively solve the concerned problem and are much faster than the exact method for larger-scale cases. Their usage can well meet the industrial scheduling needs arising from a wire rod and bar rolling process while an exact method fails.",
keywords = "Intelligent scheduling, intelligent optimization, release time, scatter search algorithm, sequence-dependent family setup time, wire rod and bar rolling process",
author = "Zhao, {Zi Yan} and Liu, {Shi Xin} and Zhou, {Meng Chu} and Guo, {Xi Wang}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020 ; Conference date: 30-10-2020 Through 02-11-2020",
year = "2020",
month = oct,
day = "30",
doi = "10.1109/ICNSC48988.2020.9238060",
language = "English (US)",
series = "2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020",
address = "United States",
}