Seebach et al., 2010 - Google Patents
A software engineering guideline for self-organizing resource-flow systemsSeebach et al., 2010
- Document ID
- 7231082779756633832
- Author
- Seebach H
- Nafz F
- Steghöfer J
- Reif W
- Publication year
- Publication venue
- 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems
External Links
Snippet
When introducing self-organization into a system, its developer aims to reduce the system's complexity, during development as well as during operation. More often than not, the self- organization mechanism is ingenious, highly tweaked for the system under construction and …
- 238000010276 construction 0 abstract description 16
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0631—Resource planning, allocation or scheduling for a business operation
- G06Q10/06316—Sequencing of tasks or work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/35—Model driven
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Monostori et al. | Cyber-physical systems in manufacturing | |
Mařík et al. | Industrial applications of agent technologies | |
Borgo et al. | Knowledge-based adaptive agents for manufacturing domains | |
Garcıa et al. | An architecture for decentralized, collaborative, and autonomous robots | |
Zhang et al. | Self-organizing manufacturing: Current status and prospect for Industry 4.0 | |
Zha | A knowledge intensive multi-agent framework for cooperative/collaborative design modeling and decision support of assemblies | |
Bozhinoski et al. | MROS: runtime adaptation for robot control architectures | |
Nguyen et al. | Artificial intelligence for smart manufacturing in industry 5.0: Methods, applications, and challenges | |
Barnes et al. | Chariot-towards a continuous high-level adaptive runtime integration testbed | |
Seebach et al. | A software engineering guideline for self-organizing resource-flow systems | |
Sudeikat et al. | On the combination of top-down and bottom-up methodologies for the design of coordination mechanisms in self-organising systems | |
Iassinovski et al. | Integration of simulation and optimization for solving complex decision making problems | |
Estrada-Jimenez et al. | Self-organization in smart manufacturing—Background, systematic review, challenges and outlook | |
Bozhinoski et al. | A modeling tool for reconfigurable skills in ros | |
Karray et al. | A component based system for S-maintenance | |
Makanda et al. | Emergence of collective intelligence in industrial cyber-physical-social systems for collaborative task allocation and defect detection | |
Walch | Knowledge-driven enrichment of cyber-physical systems for industrial applications using the KbR modelling approach | |
Pulikottil et al. | Agent-based manufacturing—review and expert evaluation | |
Lyu et al. | Evaluating a self-manageable architecture for industrial automation systems | |
Krupitzer et al. | A survey on engineering approaches for self-adaptive systems (extended version) | |
Askarpour et al. | Formal methods in designing critical cyber-physical systems | |
Lyu et al. | Multi-agent modelling of cyber-physical systems for IEC 61499-based distributed intelligent automation | |
Telgen et al. | Requirements and matching software technologies for sustainable and agile manufacturing systems | |
Qasim | System reconfiguration: A Model based approach; From an ontology to the methodology bridging engineering and operations | |
Mun et al. | Self-reconfigurable software architecture: Design and implementation |