A heuristics guided scheduling framework for domains with complex conditions

Y. Nomura, M. Iwamoto, Toru Yamanouchi, Masanobu Watanabe
{"title":"A heuristics guided scheduling framework for domains with complex conditions","authors":"Y. Nomura, M. Iwamoto, Toru Yamanouchi, Masanobu Watanabe","doi":"10.1109/TAI.1994.346409","DOIUrl":null,"url":null,"abstract":"In this paper, we describe PLUTO, PLant scheduling expert system bUilding TOol. PLUTO provides the framework to build scheduling systems for daily schedule of the facilities and personnel involved in the manufacturing process. PLUTO is suited for pipe connected plants with strict sanitary conditions, such as plants for medical supplies, chemical or food plants. In these domains, it is difficult to use general problem solvers because strict conditions lead to complex constraints among tasks and resources. Scheduling system built using PLUTO is able to generate schedules in a considerably short amount of time by a combination of heuristic search and constraint propagation. PLUTO has been able to reduce one third of the scheduling cost for real world scheduling problems.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In this paper, we describe PLUTO, PLant scheduling expert system bUilding TOol. PLUTO provides the framework to build scheduling systems for daily schedule of the facilities and personnel involved in the manufacturing process. PLUTO is suited for pipe connected plants with strict sanitary conditions, such as plants for medical supplies, chemical or food plants. In these domains, it is difficult to use general problem solvers because strict conditions lead to complex constraints among tasks and resources. Scheduling system built using PLUTO is able to generate schedules in a considerably short amount of time by a combination of heuristic search and constraint propagation. PLUTO has been able to reduce one third of the scheduling cost for real world scheduling problems.<>
基于启发式的复杂条件域调度框架
本文介绍了工厂调度专家系统构建工具PLUTO。PLUTO提供了构建调度系统的框架,用于对制造过程中涉及的设施和人员进行日常调度。冥王星适用于有严格卫生条件的管道连接植物,如医疗用品、化学或食品植物。在这些领域中,很难使用通用的问题求解器,因为严格的条件会导致任务和资源之间的复杂约束。利用PLUTO构建的调度系统通过启发式搜索和约束传播的结合,能够在相当短的时间内生成调度。PLUTO已经能够为现实世界的调度问题减少三分之一的调度成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信