The Experts below are selected from a list of 52149 Experts worldwide ranked by ideXlab platform
Francisco Restivo - One of the best experts on this subject based on the ideXlab platform.
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Service-oriented control architecture for reconfigurable Production systems
2008 6th IEEE International Conference on Industrial Informatics, 2008Co-Authors: Marco J. Mendes, Armando W. Colombo, Paulo Leitão, Francisco RestivoAbstract:Evolvable and Collaborative Production systems are becoming an emergent paradigm towards flexibility and automatic re-configurability. The reconfiguration of those systems requires the existence of distributed and modular control components that interact in order to accomplish control activities. This paper focuses on service-oriented Production systems, which behavior is regulated by the coordination of services that are provided and required by control components with different roles. Internally, these components are independent of the implementations, but an internal modular and event based structure is presented. Individual control and interaction is achieved by using embedded or inter-service control processes for which High-Level Petri Nets are proposed. Supporting the predefined control, decision support systems are used to provide conflict resolution and other decision-making functions.
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adacor a Collaborative Production automation and control architecture
IEEE Intelligent Systems, 2005Co-Authors: Paulo Leitão, Armando Walter Colombo, Francisco RestivoAbstract:Manufacturers are under enormous pressure to comply with market changes and the continual shortening of product life cycles. An analysis of the ADACOR Collaborative manufacturing control architecture from the point of view of the Collaborative Manufacturing Management paradigm shows how ADACOR (adaptive holonic control architecture for distributed manufacturing system) supports integration and extension across the manufacturing value chain.
Irem Ozkarahan - One of the best experts on this subject based on the ideXlab platform.
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Collaborative Production distribution planning in supply chain a fuzzy goal programming approach
Transportation Research Part E-logistics and Transportation Review, 2008Co-Authors: Hasan Selim, Ceyhun Araz, Irem OzkarahanAbstract:Abstract Collaborative Production–distribution planning problem in supply chain systems is dealt with in this paper. A multi-objective linear programming model is developed in this concern. In order to reflect the Collaborative planning issues to the model and to provide a more realistic model structure, decision makers’ imprecise aspiration levels for the goals are incorporated into the model using fuzzy goal programming approach. To explore the viability of different fuzzy goal programming approaches for the Collaborative Production–distribution problem in different supply chain structures, i.e. centralized and decentralized, computational experiments are performed on a hypothetically constructed case problem. Computational results support our assertion that fuzzy goal programming approaches can effectively be used in handling the Collaborative Production–distribution planning problems in different supply chain structures.
Paulo Leitão - One of the best experts on this subject based on the ideXlab platform.
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Service-oriented control architecture for reconfigurable Production systems
2008 6th IEEE International Conference on Industrial Informatics, 2008Co-Authors: Marco J. Mendes, Armando W. Colombo, Paulo Leitão, Francisco RestivoAbstract:Evolvable and Collaborative Production systems are becoming an emergent paradigm towards flexibility and automatic re-configurability. The reconfiguration of those systems requires the existence of distributed and modular control components that interact in order to accomplish control activities. This paper focuses on service-oriented Production systems, which behavior is regulated by the coordination of services that are provided and required by control components with different roles. Internally, these components are independent of the implementations, but an internal modular and event based structure is presented. Individual control and interaction is achieved by using embedded or inter-service control processes for which High-Level Petri Nets are proposed. Supporting the predefined control, decision support systems are used to provide conflict resolution and other decision-making functions.
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Petri net based Methodology for the Development of Collaborative Production Systems
2006 IEEE Conference on Emerging Technologies and Factory Automation, 2006Co-Authors: Paulo Leitão, Armando W. ColomboAbstract:This paper proposes a methodology for the development of Collaborative (agent-based) Production systems, using high-level Petri nets. The proposed methodology supports the development life-cycle from specifications analysis through to design-validation and implementation of Collaborative and re-configurable Production systems and their control systems, in an integrated manner. It covers a wide spectrum of application domains, ranging from intelligent mechatronic devices to multi-agent distributed manufacturing control systems.
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adacor a Collaborative Production automation and control architecture
IEEE Intelligent Systems, 2005Co-Authors: Paulo Leitão, Armando Walter Colombo, Francisco RestivoAbstract:Manufacturers are under enormous pressure to comply with market changes and the continual shortening of product life cycles. An analysis of the ADACOR Collaborative manufacturing control architecture from the point of view of the Collaborative Manufacturing Management paradigm shows how ADACOR (adaptive holonic control architecture for distributed manufacturing system) supports integration and extension across the manufacturing value chain.
Xiaoqiang Cai - One of the best experts on this subject based on the ideXlab platform.
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mechanism design for Collaborative Production distribution planning with shipment consolidation
Transportation Research Part E-logistics and Transportation Review, 2017Co-Authors: Minghui Lai, Xiaoqiang CaiAbstract:Abstract This paper considers firms making Collaborative Production-distribution planning with shipment consolidation to reduce costs. However, the firms have private cost information which they are not willing to disclosure. We develop a computable mechanism based on a decentralized local search heuristic combined with simulated annealing, which allows for not only system optimization but also cost allocation. The mechanism is especially applicable to the firms with private cost information, due to its good incentive properties and budget balance in almost all the cases. Computational experiments indicate that the cost savings are significant for both the system and the individual firm.
Shimon Y Nof - One of the best experts on this subject based on the ideXlab platform.
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Collaborative Production line control minimisation of throughput variability and wip
International Journal of Production Research, 2013Co-Authors: Rodrigo Reyes Levalle, Manuel Scavarda, Shimon Y NofAbstract:Production research challenges over the last four decades are reviewed retrospectively. Industries can benefit from Collaborative Production advancements. Specifically, industries with automated, discrete Production lines struggle with intrinsic process variability affected by rules that coordinate interactions among Production line machines. Benefits can be gained by responsive collaboration among these machines. A given set of rules can potentially yield either an amplifying or smoothing effect on the process’s inherent variability, subject to current system conditions. A key challenge is the lack of models to dynamically select/re-select the appropriate set of rules to optimise performance.This problem involves uncertain and dynamic constraints, raising the need for collaboration and conflict resolution mechanisms. Through collaboration and conflict resolution the Production flow disruptions can be minimised; high process efficiency to meet customer demand with minimum inventory levels can be achieved....
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design of protocols for task administration in Collaborative Production systems
International Journal of Computers Communications & Control, 2010Co-Authors: Shimon Y NofAbstract:Customer-focused and concurrent engineering service systems process tasks more effectively as a result of the power of collaboration among multiple participants. In such environments, however, complex situations might arise that require decisions beyond simple coordination.Task Administration Protocols (TAPs) are designed as a control mechanism to manage complex situations in Collaborative task environments. This article presents the design of TAPs for Collaborative Production systems in which tasks are performed by the collaboration of multiple agents. Three component protocols are found to constitute TAPs and are triggered at appropriate stages in task administration: 1) Task Requirement Analysis Protocol, 2) Shared Resource Allocation Protocol, and 3) Synchronization & Time-Out Protocol. A case study with TAPs metrics for task allocation in a Collaborative Production system is investigated to compare performance under TAPs, and under a non-TAP coordination protocol (which is considered to be simpler). In terms of task allocation ratio, the case study indicates that performance under TAPs is significantly better (up to 10.6%) than under the non-TAP coordination protocol, especially under medium or high load conditions. The advantage of TAPs can be explained by their design with relatively higher level of Collaborative intelligence, addressing more complex control logic compared with non-TAP coordination protocols.