Minimizing the weighted number of tardy jobs on a two-machine flow shop
Author:
Publisher
Elsevier BV
Subject
Management Science and Operations Research,Modelling and Simulation,General Computer Science
Reference16 articles.
1. A general bounding scheme for the permutation flow shop problem;Lageweg;Operations Research,1978
2. Applications of the branch and bound technique to some flow shop problems;Ignall;Operations Research,1965
3. An adaptive branching rule for the permutation flow shop problem;Potts;European Journal of Operational Research,1980
4. A branch and bound method for sequencing problems with linear and exponential penalties;Townsend;Operational Research Quarterly,1977
5. Optimization and approximation in deterministic sequencing and scheduling;Graham;Annals of Discrete Mathematics,1979
Cited by 37 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. A self-learning particle swarm optimization for bi-level assembly scheduling of material-sensitive orders;Computers & Industrial Engineering;2024-09
2. Solving two-machine flow shop scheduling problem with total weighted number of on-time tasks maximization criterion on D-Wave quantum computer;2023 IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI);2023-11-20
3. Scheduling jobs with general linear deterioration to minimize total weighted number of late jobs;Optimization Letters;2023-07-24
4. Minimising the number of cancellations at the time of a severe lack of postanesthesia care unit beds or nurses;International Journal of Production Research;2021-05-06
5. The Problem of Tasks Scheduling with Due Dates in a Flexible Multi-machine Production Cell;Computational Science – ICCS 2021;2021
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