找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Stochastic Modelling in Innovative Manufacturing; Proceedings, Cambrid Anthony H. Christer,Shunji Osaki,Lyn C. Thomas Conference proceeding

[复制链接]
查看: 23242|回复: 62
发表于 2025-3-21 17:18:01 | 显示全部楼层 |阅读模式
书目名称Stochastic Modelling in Innovative Manufacturing
副标题Proceedings, Cambrid
编辑Anthony H. Christer,Shunji Osaki,Lyn C. Thomas
视频video
丛书名称Lecture Notes in Economics and Mathematical Systems
图书封面Titlebook: Stochastic Modelling in Innovative Manufacturing; Proceedings, Cambrid Anthony H. Christer,Shunji Osaki,Lyn C. Thomas Conference proceeding
描述This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in con
出版日期Conference proceedings 1997
关键词Manufacturing; Manufacturing Reliability; Markov decision process; Stochastic Modelling; Stochastische M
版次1
doihttps://doi.org/10.1007/978-3-642-59105-1
isbn_softcover978-3-540-61768-6
isbn_ebook978-3-642-59105-1Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer-Verlag Berlin Heidelberg 1997
The information of publication is updating

书目名称Stochastic Modelling in Innovative Manufacturing影响因子(影响力)




书目名称Stochastic Modelling in Innovative Manufacturing影响因子(影响力)学科排名




书目名称Stochastic Modelling in Innovative Manufacturing网络公开度




书目名称Stochastic Modelling in Innovative Manufacturing网络公开度学科排名




书目名称Stochastic Modelling in Innovative Manufacturing被引频次




书目名称Stochastic Modelling in Innovative Manufacturing被引频次学科排名




书目名称Stochastic Modelling in Innovative Manufacturing年度引用




书目名称Stochastic Modelling in Innovative Manufacturing年度引用学科排名




书目名称Stochastic Modelling in Innovative Manufacturing读者反馈




书目名称Stochastic Modelling in Innovative Manufacturing读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-22 00:03:05 | 显示全部楼层
发表于 2025-3-22 00:43:15 | 显示全部楼层
Algorithms for Allocating Resources to Multi-Stage Pharmaceutical Research Projects,rofitable number of scientists to allocate. General properties of these optimal allocations are derived and algorithms to calculate the optimal allocations are described, together with examples of their use. Optimal allocations are higher than those which are likely to complete the project in the minimum number of scientist-years.
发表于 2025-3-22 08:35:46 | 显示全部楼层
An Optimal Selection Problem on a Partially Observable Markov Chain,problem is to select a predetermined number of observations in order to maximize the total expected reward of these selected. Under several assumptions, we consider an optimal selection problem for a partially observable Markov chain, and treat several properties concerning a relation between observations and information.
发表于 2025-3-22 12:47:21 | 显示全部楼层
发表于 2025-3-22 15:45:15 | 显示全部楼层
发表于 2025-3-22 18:58:42 | 显示全部楼层
978-3-540-61768-6Springer-Verlag Berlin Heidelberg 1997
发表于 2025-3-22 23:43:07 | 显示全部楼层
Stochastic Modelling in Innovative Manufacturing978-3-642-59105-1Series ISSN 0075-8442 Series E-ISSN 2196-9957
发表于 2025-3-23 01:33:34 | 显示全部楼层
发表于 2025-3-23 08:48:30 | 显示全部楼层
Risk and Return Analysis of a Multi-Period Strategic Planning Problem,g strategy. We have developed an approximate multilevel optimization approach which can be assumed as a starting point for a subsequent refinement procedure.The strategic LP/ILP model is used to identify suboptimal asset allocation strategies whose risk is analysed by a refinement procedure in order
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-25 05:37
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表