Scheduling parallel-machine batch operations to maximize on-time delivery performance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Management Science and Operations Research,General Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10951-015-0449-6.pdf
Reference50 articles.
1. Akturk, M. S., & Ozdemir, D. (2001). A new dominance rule to minimize total weighted tardiness with unequal release dates. European Journal of Operational Research, 135(2), 394–412.
2. Bayen, A., Tomlin, C., Ye, Y., & Zhang, J. (2003). MILP formulation and polynomial time algorithm for an aircraft scheduling problem. In Proceedings of the 42nd IEEE conference on decision and control (Vol. 5, pp. 5003–5010).
3. Bazaraa, M. S., Sherali, H. D., & Shetty, C. M. (2006). Nonlinear programming: Theory and algorithms (3rd ed.). New York: Wiley.
4. Bean, J. C. (1994). Genetic algorithms and random keys for sequencing and optimization. ORSA Journal on Computing, 6(2), 154–160.
5. Brucker, P., Gladky, A., Hoogeveen, H., Kovalyov, M. Y., Potts, C., Tautenhahn, T., et al. (1998). Scheduling a batching machine. Journal of Scheduling, 1(1), 31–54.
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Minimizing total completion time on non-identical parallel batch machines with arbitrary release times using ant colony optimization;European Journal of Operational Research;2023-09
2. Note from the Editor;INFORMS Journal on Computing;2023-07
3. Achieving sustainability through improvement in the textile wet process using particle swarm optimization and the tabu search algorithm;Textile Research Journal;2022-10-03
4. A bi-objective evolutionary algorithm scheduled on uniform parallel batch processing machines;Expert Systems with Applications;2022-10
5. A bi-objective evolutionary algorithm for minimizing maximum lateness and total pollution cost on non-identical parallel batch processing machines;Computers & Industrial Engineering;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3