Resource-aware aggregate planning for the distributed manufacturing enterprise

被引：24
|
作者：
Maropoulos, PG [1 ]
McKay, KR [1 ]
Bramall, DG [1 ]
机构：
[1] Univ Durham, Sch Engn, Design & Mfg Res Grp, Durham, England
来源：
CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2002年 / 51卷 / 01期
基金：
英国工程与自然科学研究理事会;
关键词：
computer automated process planning (CAPP); distributed design manufacturing integration;
D O I：
10.1016/S0007-8506(07)61537-6
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The realization of 'intelligent and resource aware' distributed enterprises requires substantial development of the underpinning modelling, information management and knowledge representation technologies. This paper deals with the 'resource-aware, aggregate planning' of manufacturing operations at early design stages. The term 'resource aware' indicates the creation of a dynamic inter-relationship between the planning entities and the enterprise resources, humans and machines. The technologies employed for implementing the pilot methods include; a web-centric co-development environment, unique methods for enriching planning entities with knowledge, and a flexible engine supporting planning scenarios by using evolutionary computing for optimisation and capability analysis techniques for feedback evaluation.
引用
收藏
页码：363 / 366
页数：4
相关论文
共 50 条
  • [1] An aggregate resource model for the provision of dynamic 'resource-aware' planning
    Maropoulos, PG
    Bramall, DG
    McKay, KR
    Rogers, B
    Chapman, P
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2003, 217 (10) : 1471 - 1480
  • [2] Resource-Aware Motion Planning
    Kroehnert, Manfred
    Grimm, Raphael
    Vahrenkamp, Nikolaus
    Asfour, Tamim
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 32 - 39
  • [3] Optimal resource-aware deployment planning for component-based distributed applications
    Kichkaylo, T
    Karamcheti, V
    [J]. 13TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING, PROCEEDINGS, 2004, : 150 - 159
  • [4] DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
    Rapp, Martin
    Khalili, Ramin
    Pfeiffer, Kilian
    Henkel, Joerg
    [J]. THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 8062 - 8071
  • [5] Distributed Program Deployment for Resource-Aware Programmable Switches
    Li, Fuliang
    Chen, Songlin
    Jia, Xingxin
    Gao, Chengxi
    Wang, Pengfei
    Wang, Xingwei
    Cao, Jiannong
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2024, 73 (05) : 1357 - 1370
  • [6] A Java']Java middleware platform for resource-aware distributed applications
    Guidec, F
    Mahéo, Y
    Valoria, LC
    [J]. SECOND INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING, PROCEEDINGS, 2003, : 96 - 103
  • [7] Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing
    Vasile, Mihaela-Andreea
    Pop, Florin
    Tutueanu, Radu-Ioan
    Cristea, Valentin
    Kolodziej, Joanna
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2015, 51 : 61 - 71
  • [8] Resource-aware policies
    Bottoni, Paolo
    Fish, Andrew
    Heussner, Alexander
    Presicce, Francesco Parisi
    [J]. JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 2017, 38 : 84 - 96
  • [9] Resource-aware metacomputing
    Acharya, A
    Ranganathan, M
    Saltz, J
    [J]. CONCURRENCY-PRACTICE AND EXPERIENCE, 1997, 9 (06): : 649 - 674
  • [10] A novel distributed resource-aware scalable scheine for scatternet formationt
    Dharia, SI
    Agrawal, DP
    [J]. ICON 2003: 11TH IEEE INTERNATIONAL CONFERENCE ON NETWORKS, 2003, : 659 - 664
12345