A multi-agent system to facilitate component-based process modeling and design

Yang, Aidong; Braunschweig, Bertrand; Fraga, Eric S.; Guessoum, Zahia; Marquardt, Wolfgang; Nadjemi, Othmane; Paen, Didier; Piñol, D.; Roux, P. Le; Sama, Sergi; Serra, Manel; Stalker, Iain Duncan

doi:10.1016/j.compchemeng.2007.11.005

Cited by 39 publications

(12 citation statements)

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“…Reference [2] aims to improve the insufficiency of the contract net by developing a mechanism to facilitate cooperation of agents to accomplish their tasks while avoiding undesirable states and enhances the overall system performance in manufacturing systems. Reference [3] designs a multi-agent software system which facilitates the engineers to find and to integrate software components and aims at reducing the engineers' effort to the minimum. Reference [4] presents a Multi-Agent cooperative processing model by mobile Agent and computer supported cooperative work, and studies the implementing technologies for the mode1, which could efficiently process the task in an open network environment.…”

Section: Instructionmentioning

confidence: 99%

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

Liu

Zheng

Zhu³

2010

2010 International Conference on Intelligent System Design and Engineering Application

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For the everyday dispatching and commanding in the existing railway line in China, the accuracy of dispatching daily plan directly affects the whole efficiency of the dispatching and commanding system in the railway bureau. The planning process of daily dispatching plan is a complex cooperative process in which many participating roles are involved. Establishing the process model is helpful to reflect the essential characteristics, and improve the accuracy of daily dispatching plan. At present, Multi-Agent technology has been one of the key modeling technologies of complex collaborative process, and has been successfully applied in many areas. In this paper, we focus on the problem of the cooperative planning process modeling about daily dispatching plan which is based on the modeling of multi-level and multi-role. In contrast to the traditional planning model, a cooperative planning process model based on Multi-Agent is provided. Such a multi-level and multi-roles process model not only reflects the process's characteristics, but provides an important guide for the cooperative planning information system in each railway bureau about daily dispatching plan in the range of the whole railway.Keywords process modeling, cooperative planning, dispatching daily plan, process-oriented planning pattern dispatching and commanding. I. INSTRUCTIONIn the dispatching and commanding system for the railway in China, all kinds of the unexpected factors must be considered such as the changes of the current train flow, source of goods, passenger flow, equipment maintenance and nature disasters. It is necessary to make a good daily dispatching plan for all transporting activities occurring in the planning horizon. Its accuracy directly affects the efficiency of the daily dispatching and commanding activities, and therefore how to improve its accuracy has become the most concerned problem in the field of dispatching and commanding system. Due to the restriction of the traditional business organization pattern which is function-based, the current sub-processes for planning lacks enough coordination, making the accuracy of the daily dispatching plan relatively low. Changing the traditional organization model and then building the new model that can reflect the essential characteristics of its planning process is becoming urgent and of practical significance.At present, the multi-agent modeling technology has become one of the mainstream modeling technologies for the complex cooperative process, and many domestic and foreign scholars have established their respective complex collaborative process models for different application fields with the consideration of the fields' characteristics by multiagent technology, as follow:In the reference[1], a flexible design method that supports a range of coordinator components is described, which defines four levels of coordination and an associated four-step coordinator generation process. Reference [2] aims to improve the insufficiency of the contract net by developing a mechanism to facilitate...

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Section: Instructionmentioning

confidence: 99%

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

Liu

Zheng

Zhu³

2010

2010 International Conference on Intelligent System Design and Engineering Application

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“…To take full advantage of reusability of existing models, the task of identifying the most sufficient model from the libraries is heavily dependent on the user's intuition and experience and remains as a manual process (Braunschweig et al 2004). Yang et al (2008) acknowledges that inadequate assessment for the suitability of models may lead to potential misuse of the models, which has the risk of insufficient or even wrong solution to the engineering problems. To better address the shortcoming associated with user intervention in CAPE-OPEN, ontology engineering is recognised as a viable solution to reduce the chance of these error occurring and to minimise the impact of any errors that do occur.…”

Section: Introductionmentioning

confidence: 99%

“…This method was the first attempt to integrate process modelling components from heterogeneous sources using ontologies as a tool in the field of process engineering. As indicated by Yang et al (2008), the integration of the models they used was based on the full-scale matching. Partial matching which extends the search scope was first introduced by the eSymbiosis project to enable and hence to support processing technologies participation in Industrial Symbiosis (IS) and concomitant integration (Raafat et al 2012;Raafat et al 2013;.…”

Section: Introductionmentioning

confidence: 99%

“…To better address the shortcoming associated with user intervention in CAPE-OPEN, ontology engineering is recognised as a viable solution to reduce the chance of these error occurring and to minimise the impact of any errors that do occur. Ontology has an ability to address the problem of automated support for the configuration of process models and data in a structured and proactive manner (Yang & Marquardt 2004;Yang et al 2008) by accounting for complex relations, such as systematic knowledge of model as well as tacit knowledge extracted from user intuition. A large scale ontology, the OntoCAPE, has as a result been introduced to support various process engineering applications, mainly addressing two aspects: i) characterisation of models stored in the libraries and ii) description of the specific requirements of the models to be identified as potential candidates.…”

Section: Introductionmentioning

confidence: 99%

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A semantic framework for enabling model integration for biorefining

Koo

Trokanas

Cecelja

2017

Computers & Chemical Engineering

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Please cite this article as: Koo, Linsey., Trokanas, Nikolaos., & Cecelja, Franjo., A semantic framework for enabling model integration for biorefining. Computers and Chemical Engineering http://dx.doi.org/10.1016/j.compchemeng.2017.02.004 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A semantic framework for enabling model integration for biorefining Highlights We propose a semantic approach for establishing the interoperability between models and data.  Introduction of input/output matching as a mean of integration based on the structure of domain ontology.  The algorithm is implemented as a service.  Demonstration of performance is achieved using a real-life biorefining modelling scenario. AbstractThis paper introduces a new paradigm for establishing a framework that enables interoperability between process models and datasets using ontology engineering. Semantics are used to model the knowledge in the domain of biorefining including both tacit and explicit knowledge, which supports registration and instantiation of the models and datasets. Semantic algorithms allow the formation of model integration through input/output matching based on semantic relevance between the models and datasets. In addition, partial matching is employed to facilitate flexibility to broaden the horizon to find opportunities in identifying an appropriate model and/or dataset. The proposed algorithm is implemented as a web service and demonstrated using a case study.

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“…CAPE-OPEN provides standardized software interfaces to provide interoperability of commercial flowsheeting tools, unit operation models, physical property packages, and numerical solvers. The COGent environment (Yang et al, 2007) uses software agents to find CAPE-OPEN software components on a local computer, a network, or on the Internet that meet the requirements of an engineering task. In a COGent environment, a user of a CAEX representation of a process schematic could discover and examine additional information about the process, for instance a mathematical model of the reaction, equipment models, or basic process knowledge such as the example given earlier that feed composition changes can cause variations in temperature in a distillation column.…”

Section: Evaluation and Future Developmentmentioning

confidence: 99%

Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history

Thambirajah

Benabbas

Bauer

et al. 2009

Computers & Chemical Engineering

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Disturbances that spread plant-wide in a chemical process pose challenges to maintenance staff. Connections within the plant and the presence of multiple causal paths mean it is not straightforward to locate the root disturbance because the effects can propagate and be detected elsewhere. Measurementbased methods use quantitative process history to generate hypotheses about the root cause, while a separate strand of work in the literature has used causal maps and digraphs. It has been reported that both approaches can give spurious solutions, however. The idea behind this article is to reduce the number of spurious solutions by combining basic and readily-available information about the connectivity of the process with the results from causal measurement-based analysis. Connectivity information is captured from an XML description of the process schematic that complies with the CAEX schema. The capabilities of the approach and its potential for future development are discussed.

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A multi-agent system to facilitate component-based process modeling and design

Cited by 39 publications

References 32 publications

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

A semantic framework for enabling model integration for biorefining

Cause-and-effect analysis in chemical processes utilizing XML, plant connectivity and quantitative process history

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