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A study on object-oriented model repository for manufacturing system modeling [chapter]

Yoshitaka Tanimizu, Nobuhiro Sugimura, Kazuaki Iwata
1998 Globalization of Manufacturing in the Digital Communications Era of the 21st Century  
in the model repository are proposed.  ...  An object-oriented model repository of the manufacturing system is discussed to establish a systematic and logical criteria for classifying the manufacturing system models from various viewpoints.  ...  An operation has the information about the starting time, the process time and the finishing time of the manufacturing activity.  ... 
doi:10.1007/978-0-387-35351-7_27 fatcat:i7s3fvldlvfwlhqksdabazdynu

A Kind of Reinforcement Learning to Improve Genetic Algorithm for Multiagent Task Scheduling

Zhipeng Li, Xiumei Wei, Xuesong Jiang, Yewen Pang, Daniel Zaldivar
2021 Mathematical Problems in Engineering  
It is difficult to coordinate the various processes in the process industry.  ...  We built a multiagent distributed hierarchical intelligent control model for manufacturing systems integrating multiple production units based on multiagent system technology.  ...  Acknowledgments is study was supported in part by the National Key R&D Program of China (no. 2019YFB1707004).  ... 
doi:10.1155/2021/1796296 fatcat:6p2qwbursjgb7htrhr33y3dsi4

Hierarchical Knowledge-Based Process Planning in Manufacturing [chapter]

Ferenc Deák, András Kovács, József Váncza, Tadeusz Dobrowiecki
2002 IFIP Advances in Information and Communication Technology  
The proposed CAPP system deals with geometry analysis, setup planning, selection and ordering of machining operations and the assignment of resources.  ...  In the paper we show that with so-called Hierarchical Task Networks, a recently matured general-purpose domainindependent planning method, we could model the planning process itself, represent and utilize  ...  All in all, our CAPP system deals with geometry analysis, setup planning, selection and ordering of machining operations and the assignment of the resources.  ... 
doi:10.1007/978-0-387-35492-7_39 fatcat:cvdzjqqezvb25fmhkptoeieqse

An intelligent hierarchical workstation control model for FMS

K.W. Keung, W.H. Ip, D. Yuen
2003 Journal of Materials Processing Technology  
Problems are identified and modeled in the level of process plan selection, master scheduling, and job sequencing.  ...  Hierarchical planning, scheduling and control in flexible manufacturing systems (FMS) provide a systematic way to effectively allocate resources along different time horizons.  ...  At the top level, the process plan selection level is informed as to which parts are to be processed and receives a set of alternative process plans in a form of non-linear AND/OR graphs.  ... 
doi:10.1016/s0924-0136(03)00194-8 fatcat:qfokyrc6ajhxzfl3l4pgqw7g4i

Hierarchical Data-Base Management: A Survey

D. C. Tsichritzis, F. H. Lochovsky
1976 ACM Computing Surveys  
This survey paper discusses the facilities provided by hierarchical data-base management systems.  ...  Finally, a brief comparison is made between the hierarchical, the network, and the relational systems.  ...  General selection languages are truly hierarchical. They use tree operations to select and qualify records in the data base.  ... 
doi:10.1145/356662.356667 fatcat:kzeziuu2vrgmvnkbtlqljiklga

The Decision Support System for Hierarchical Portfolio Management

Pradit Songsangyos
2014 International Journal of Information and Education Technology  
Index Terms-AHP, decision support system, portfolio management, multi-criteria selection. P. Songsangyos was born in Chiangmai, Thailand. He obtained his M.  ...  The hierarchical methods like AHP make complex decisions become easy make it easy in multi-criteria chosen.  ...  Nipat Jongsawat for his suggestions, and helped me in completing the research work, in time.  ... 
doi:10.7763/ijiet.2014.v4.423 fatcat:upinaj6vibcgfk5ute5h4gkq3a

Process selection in a hierarchical operating system

R. C. Varney
1971 Proceedings of the third symposium on Operating systems principles - SOSP '71  
This paper presents a new model for use in scheduling processes for the sharing of a processor.  ...  The model may be used in various modes of operation, including multiprogramming, real time and time sharing.  ...  In addition, the author thanks Peter L. Anderson of Regnecentralen, Copenhagen for providing details of the RC 4000 which were not otherwise available. i. 2. 3. 4. 5. 6.  ... 
doi:10.1145/800212.806507 dblp:conf/sosp/Varney71 fatcat:choryaww2bcadmnhc7uwexvjae

Hierarchical Models of the Visual System [chapter]

Thomas Serre
2015 Encyclopedia of Computational Neuroscience  
Definition Hierarchical models of the visual system are neural networks with a layered topology: In these networks, the receptive fields of units (i.e., the region of the visual space that units respond  ...  ) models of object and action recognition, which account for processing in large portions of the visual field and entire visual streams.  ...  Neuronal operations Different hierarchical models of the visual system differ in terms of the operation that they implement. Examples of operations include both linear and non-linear pooling stages.  ... 
doi:10.1007/978-1-4614-6675-8_345 fatcat:n4nq7n3qzjfi7dt6xdaaiqbmo4

Hierarchical Models of the Visual System [chapter]

Thomas Serre
2014 Encyclopedia of Computational Neuroscience  
Definition Hierarchical models of the visual system are neural networks with a layered topology: In these networks, the receptive fields of units (i.e., the region of the visual space that units respond  ...  ) models of object and action recognition, which account for processing in large portions of the visual field and entire visual streams.  ...  Neuronal operations Different hierarchical models of the visual system differ in terms of the operation that they implement. Examples of operations include both linear and non-linear pooling stages.  ... 
doi:10.1007/978-1-4614-7320-6_345-1 fatcat:2fln6ex3dbeh3bdlah6zg7yue4

Genetic based scheduling in grid systems: A survey

Joshua Samuel Raj, Riya Mary Thomas
2013 2013 International Conference on Computer Communication and Informatics  
Genetic algorithm techniques are used in optimization for grid computing as they get their inspirations from evolutionary idea of natural evolution.  ...  Moreover genetic operators can be tailored for the problem at hand by exploiting procedures that have been fully applied to problems that have resisted solutions to common techniques and thereby making  ...  The computing systems consist of a large number of processing elements and are connected in a specific high-speed topology.  ... 
doi:10.1109/iccci.2013.6466140 fatcat:my5lnp43ezegtibiumwd7lgkfa

Hierarchical Decision Making Framework for Evaluation and Improvement of Composite Systems (Example for Building)

Mark Sh. Levin, Moshe A. Danieli
2005 Informatica  
The system improvement/redesign process is examined as the selection and planning of redesign operations while taking into account operations attributes (e.g., required resources, effectiveness) and binary  ...  The system evaluation process consists in hierarchical integration of expert judgment (as ordinal estimates): a method of integration tables or the abovementioned morphological approach.  ...  , criteria, estimates, and ranking (Section 4.3); (iii) models for the selection and scheduling of the redesign operations (models in Section 3.2 and an improvement process on the basis of these models  ... 
doi:10.15388/informatica.2005.095 fatcat:kf6ofrrh4vf57nqijstij56f3i

Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems

Hua Guo, Kecheng Liu
2019 Proceedings of the 21st International Conference on Enterprise Information Systems  
However, for answering the questions with complex logic, AI system is still in an early stage.  ...  Hierarchical ontology graph is proposed to establish analysis threads for the complex question in order to facilitate AI system to further support in business decision making.  ...  Hierarchical Ontology Graph for Solving Semantic Issues in Decision Support Systems.  ... 
doi:10.5220/0007769904830487 dblp:conf/iceis/GuoL19 fatcat:ynexyh7qcbffdkoptmm7kbufpu

MACHINE LEARNING IN HYBRID HIERARCHICAL AND PARTIAL-ORDER PLANNERS FOR MANUFACTURING DOMAINS

Susana Fernández, Ricardo Aler, Daniel Borrajo
2005 Applied Artificial Intelligence  
the operation of manufacturing systems.  ...  The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning and control.  ...  Particularly, we learn the following kinds of control rules: -SELECT OPERATOR-PLAN, to select an operator already present in the plan to achieve an unsolved goal Figure2.  ... 
doi:10.1080/08839510490964491 fatcat:g3dpxeg6nfextmsrufuoict3lq

Experimental comparison of control architectures [chapter]

Joanna M. Mortel-Fronczak, Jos P. M. Schmitz, Jacobus E. Rooda
1999 Global Production Management  
In this paper, the performance of two control systems, with a hierarchical and a heterarchical structure, based on an exemplary flexible production cell is evaluated by means of simulation experiments.  ...  Most control systems of flexible production cells have a hierarchical structure.  ...  An operation on a product cannot be performed until all the previous operations on the product are completed.  ... 
doi:10.1007/978-0-387-35569-6_65 fatcat:vjejyhslc5afdau6423ydazfka

Multi-Agent System for Collaboration in Hybrid Control [chapter]

Dariusz Choiński, Witold Nocoń, Mieczyslaw Metzger
2008 Lecture Notes in Computer Science  
An ontology-based Multi-Agent System augmented with Web engineering is proposed for validation of hybrid control of biotechnological plant.  ...  For acquiring knowledge through Web, the proposed system carries out reduction, selection and validation of data and of its structures and then reconfiguration of multi agent hybrid control system.  ...  Because of that, an extended class of models may by used in the distributed hierarchical system.  ... 
doi:10.1007/978-3-540-69389-5_44 fatcat:wy77jhrhfzhb5ke7ijsa7nlwwa
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