Scheduling with non-decreasing deterioration jobs and variable maintenance activities on a single machine

作业车间调度 缩小 调度(生产过程) 数学优化 时间复杂性 持续时间(音乐) 计算机科学 排队 数学 算法 地铁列车时刻表 计算机网络 艺术 文学类 操作系统
作者
Xingong Zhang,Yunqiang Yin,Chin‐Chia Wu
出处
期刊:Engineering Optimization [Taylor & Francis]
卷期号:49 (1): 84-97 被引量:33
标识
DOI:10.1080/0305215x.2016.1163629
摘要

There is a situation found in many manufacturing systems, such as steel rolling mills, fire fighting or single-server cycle-queues, where a job that is processed later consumes more time than that same job when processed earlier. The research finds that machine maintenance can improve the worsening of processing conditions. After maintenance activity, the machine will be restored. The maintenance duration is a positive and non-decreasing differentiable convex function of the total processing times of the jobs between maintenance activities. Motivated by this observation, the makespan and the total completion time minimization problems in the scheduling of jobs with non-decreasing rates of job processing time on a single machine are considered in this article. It is shown that both the makespan and the total completion time minimization problems are NP-hard in the strong sense when the number of maintenance activities is arbitrary, while the makespan minimization problem is NP-hard in the ordinary sense when the number of maintenance activities is fixed. If the deterioration rates of the jobs are identical and the maintenance duration is a linear function of the total processing times of the jobs between maintenance activities, then this article shows that the group balance principle is satisfied for the makespan minimization problem. Furthermore, two polynomial-time algorithms are presented for solving the makespan problem and the total completion time problem under identical deterioration rates, respectively.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
影像大侠完成签到,获得积分10
4秒前
tosuto house完成签到 ,获得积分10
4秒前
5秒前
5秒前
完美世界应助吴霜降采纳,获得10
5秒前
JKL发布了新的文献求助10
6秒前
忧郁的涛发布了新的文献求助10
6秒前
Jie_huang发布了新的文献求助10
7秒前
SciGPT应助石艾颀采纳,获得10
7秒前
8秒前
哈桑的过程完成签到,获得积分10
8秒前
pxl99567发布了新的文献求助10
8秒前
BBF3完成签到 ,获得积分10
9秒前
9秒前
9秒前
YYYQ应助sky采纳,获得10
10秒前
雨雨子发布了新的文献求助10
11秒前
12秒前
超帅的翠安完成签到,获得积分10
12秒前
13秒前
拆拆拆发布了新的文献求助100
13秒前
nuanfengf发布了新的文献求助10
14秒前
Jie_huang完成签到,获得积分10
14秒前
唐磊发布了新的文献求助10
15秒前
丘比特应助无物采纳,获得50
15秒前
yemu3zhi应助张张采纳,获得10
16秒前
群青完成签到 ,获得积分10
16秒前
颖宝老公完成签到,获得积分0
16秒前
彭语诺发布了新的文献求助10
17秒前
ding应助aiya采纳,获得10
17秒前
草草发布了新的文献求助10
18秒前
Calvin发布了新的文献求助10
18秒前
和谐的小小完成签到,获得积分10
19秒前
pxl99567完成签到,获得积分10
19秒前
m78完成签到 ,获得积分10
19秒前
忧郁的涛完成签到,获得积分10
19秒前
浮游应助时荒采纳,获得10
20秒前
20秒前
思源应助JOE采纳,获得10
20秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6718898
求助须知:如何正确求助?哪些是违规求助? 8456049
关于积分的说明 18052913
捐赠科研通 5969715
什么是DOI,文献DOI怎么找? 2995456
邀请新用户注册赠送积分活动 1971526
关于科研通互助平台的介绍 1924450