Agent-Based Framework for Simulation and Support of Dynamic Engineering Design Processes in PSI

Gorodetsky, Vladimir; Ermolayev, Vadim; Matzke, Wolf-Ekkehard; Jentzsch, Eyck; Karsaev, Oleg; Keberle, Natalya; Samoylov, Vladimir

doi:10.1007/11559221_51

Cited by 3 publications

(8 citation statements)

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“…These ontologies are used in the implemented simulator software prototype. Initial evaluation experiments have been performed using PSI testbed [Go05].…”

Section: Discussionmentioning

confidence: 99%

“…Further formalization and implementation work has been performed in the way aligned with scenarios of ontology usage identified by Uschold and Jasper [UJ99]. DEDP ontologies are used [Go05] for authoring DEDP logs recorded to PSI testbed (neutral authoring), for specifying the designs of DEDP-MAS simulator software (ontology as software specification), and as shared ontologies for agent communication at run time (common access to information). Ontology usage aspects influenced the choice of the formal languages for coding the ontologies.…”

Section: Dedp Ontologies: Epistemology and Usagementioning

confidence: 99%

“…Second reason for choosing OWL-lite was that its expressive power is similar to that of the internal mental model specification language (MMSL) of MASDK [Go04] which has been used for specifying the design and prototyping of DEDP-MAS has been implemented to evaluate the modeling framework and to assess the feasibility of building a software tool for DEDP optimization through their productivity assessment. In the performed evaluation experiments [Go05] the simulator is used in two application modes: playback and "freestyle" (predictive) simulation. In playback mode the simulation is used to assess the performance of the DEDPs which have been accomplished in the past.…”

Section: Dedp Ontologies: Epistemology and Usagementioning

confidence: 99%

“…The project have prototyped a software tool which provides for the assessment of the accomplished DEDPs and the prediction of the characteristics of the planned DEDPs through their simulations. This simulation prototype has been implemented as a multi-agent system [Go05] 2 which models designers' teams working on projects by dynamically formed teams of software agents, DEDPs performed by these teams -by tasks, and the results of these processes -by design artifacts. The knowledge on the performed processes is formalized and stored to PSI testbed in terms of DEDP family of ontologies presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling Dynamic Engineering Design Processes in PSI

Ermolayev¹,

Jentzsch

Karsayev

et al. 2005

Perspectives in Conceptual Modeling

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Abstract. One way to make engineering design effective and efficient is to make its processes flexible -i.e. self-adjusting, self-configuring, and selfoptimizing at run time. The paper presents the descriptive part of the Dynamic Engineering Design Process (DEDP) modeling framework developed in PSI 1 project. The project aims to build a software tool assisting managers to analyze and enhance the productivity of the DEDPs through process simulations. The framework incorporates the models of teams and actors, tasks and activities, design artifacts as the major interrelated parts. DEDPs are modeled as weakly defined flows of tasks and atomic activities which may only "become apparent" at run time because of several presented dynamic factors. The processes are self-formed through the mechanisms of collaboration in the dynamic team of actors. These mechanisms are based on several types of contracting negotiations. DEDP productivity is assessed by the Units of Welfare collected by the multi-agent system which models the design team. The models of the framework are formalized in the family of DEDP ontologies.

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“…These ontologies are used in the implemented simulator software prototype. Initial evaluation experiments have been performed using PSI testbed [Go05].…”

Section: Discussionmentioning

confidence: 99%

Section: Dedp Ontologies: Epistemology and Usagementioning

confidence: 99%

Section: Dedp Ontologies: Epistemology and Usagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Dynamic Engineering Design Processes in PSI

Ermolayev¹,

Jentzsch

Karsayev

et al. 2005

Perspectives in Conceptual Modeling

Self Cite

View full text Add to dashboard Cite

show abstract

“…The project has prototyped a software tool which provides for the assessment of accomplished DEDPs and the prediction of the characteristics of planned DEDPs through their simulation. This simulation prototype has been implemented as a multi-agent system [2] 2 which models: designers' teams working on projects by dynamically formed teams of software agents; DEDPs performed by these teams by tasks; the results of these processes by design artifacts. The knowledge about the performed processes is formalized and stored to the PSI testbed in terms of the PSI family of ontologies presented in this chapter.…”

Section: Introductionmentioning

confidence: 99%

An Agent-Oriented Model of a Dynamic Engineering Design Process

Ermolayev¹,

Jentzsch

Karsayev

et al. 2006

Lecture Notes in Computer Science

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Abstract. One way to make engineering design effective and efficient is to make its processes flexible -i.e. self-adjusting, self-configuring, and selfoptimizing at run time. This chapter presents the descriptive part of the Dynamic Engineering Design Process (DEDP) modeling framework developed in the PSI 1 project. The project aims to build a software tool to assist managers to analyze and enhance the productivity of the DEDPs through process simulations. The framework incorporates the models of teams and actors, tasks and activities as well as design artifacts as the major interrelated parts. DEDPs are modeled as weakly defined flows of tasks and atomic activities which may only "become apparent" at run time because of several presented dynamic factors. The processes are self-formed through the mechanisms of collaboration in the dynamic team of actors. These mechanisms are based on contracting negotiations. DEDP productivity is assessed by the Units of Welfare collected by the multi-agent system which models the design team. The models of the framework are formalized in the family of PSI ontologies.

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