Efficiency decomposition for parallel production systems

回归规模 计算机科学 组分(热力学) 过程(计算) 生产(经济) 变量(数学) 分解 比例(比率) 调度(生产过程) 工业工程 数学优化 数学 工程类 物理 数学分析 宏观经济学 经济 操作系统 热力学 生物 量子力学 生态学
作者
Chiang Kao
出处
期刊:Journal of the Operational Research Society [Palgrave Macmillan]
卷期号:63 (1): 64-71 被引量:93
标识
DOI:10.1057/jors.2011.16
摘要

AbstractAbstractFor production systems composed of parallel processes, the system efficiency will more properly represent the aggregate performance of the component processes if the operation of each process is taken into consideration. Several approaches have been proposed for measuring the efficiency of parallel production systems. By requiring the same factor to have the same virtual multiplier, the proposed method is able to calculate the system and process efficiencies at the same time. Moreover, the former can be decomposed into a weighted average of the latter. A system is efficient only if all of its component processes are efficient. Chemistry departments in the UK are used as an example, where teaching and research are two major functions of the department. The relationship between the system and process efficiencies which holds for the case of constant returns to scale can be extended to the case of variable returns to scale.Keywords: data envelopment analysisparallel systemefficiency decompositionnetwork system AcknowledgementsThis research was supported by the National Science Council, Republic of China (Taiwan), under grant NSC98-2410-H-006-006-MY3. The authors are also grateful to the comments and suggestions of the three anonymous reviewers.
最长约 10秒,即可获得该文献文件

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
ding应助有魅力的电脑采纳,获得10
刚刚
Crazy_Runner发布了新的文献求助10
1秒前
俊秀的秀发完成签到 ,获得积分10
2秒前
2秒前
沙漠水发布了新的文献求助10
3秒前
gaoyunfeng发布了新的文献求助10
3秒前
科研通AI5应助猪猪hero采纳,获得10
3秒前
3秒前
152522完成签到,获得积分20
3秒前
科研1发布了新的文献求助10
4秒前
一碘碘Q完成签到,获得积分10
4秒前
搜集达人应助饱满冥茗采纳,获得10
4秒前
江江好完成签到,获得积分10
5秒前
zz发布了新的文献求助10
5秒前
魔幻的小蘑菇完成签到 ,获得积分10
6秒前
6秒前
香蕉觅云应助gaoyunfeng采纳,获得10
7秒前
8秒前
谨慎罡发布了新的文献求助10
8秒前
8秒前
9秒前
CCC完成签到,获得积分10
9秒前
9秒前
152522发布了新的文献求助10
9秒前
天天快乐应助ZY采纳,获得10
9秒前
小蓝发布了新的文献求助10
10秒前
小马甲应助动听煎饼采纳,获得10
10秒前
Crazy_Runner完成签到,获得积分10
10秒前
10秒前
坦率白亦完成签到,获得积分20
11秒前
科研通AI2S应助周小鱼采纳,获得10
11秒前
coolkid应助海底菠萝采纳,获得10
11秒前
思源应助yangqi采纳,获得10
12秒前
shuang完成签到 ,获得积分10
12秒前
HealthyCH发布了新的文献求助10
12秒前
一口蛋黄酥完成签到,获得积分20
13秒前
科研1完成签到,获得积分10
13秒前
宁宁完成签到,获得积分10
13秒前
shishi完成签到,获得积分10
13秒前
13秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3838196
求助须知:如何正确求助?哪些是违规求助? 3380471
关于积分的说明 10514526
捐赠科研通 3100044
什么是DOI,文献DOI怎么找? 1707291
邀请新用户注册赠送积分活动 821625
科研通“疑难数据库(出版商)”最低求助积分说明 772816