Eskil, Mustafa TanerSticklen, JonRadcliffe, Clark2015-01-152015-01-152008-12-12Eskil, M. T., Sticklen, J. & Radcliffe, C. (2008). The routine design–modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies. AI EDAM, 22(1), 1-18. doi:10.1017/S08900604080000120890-06041469-1760https://hdl.handle.net/11729/277http://dx.doi.org/10.1017/S0890060408000012This work was carried out in the Intelligent Systems Laboratory, Michigan State University. Parts of this work were completed in the Artificial Intelligence Laboratory, Işik University, and the Vision and Pattern Analysis Laboratory, Sabanci University, with the support of EU SPICE Project FP6-2004-ACC-SSA-2016684.In this paper we describe a conceptual framework and implementation of a tool that supports task-directed, distributed routine design (RD) augmented with simulation-based design testing. In our research, we leverage the modular distributed modeling (MDM) methodology to simulate the interaction of design components in an assembly. The major improvement we have made in the RD methodology is to extend it with the capabilities of incorporating remotely represented off-the-shelf components in design and simulation-based testing of a distributed assembly. The deliverable of our research is the RD-MDM platform, which is capable of automatically selecting intellectually protected off the shelf design components over the Internet, integrating these components in an assembly, running simulations for design testing, and publishing the approved design without disclosing the proprietary information.eninfo:eu-repo/semantics/closedAccessDistributed simulationModular modelingOff-the-shelf partsProprietary informationRoutine designArchitectureSystemsModular distributed modeling (MDM)AutomationComputer aided software engineeringComputer simulationInformation analysisMathematical modelsSoftware designDistributed computer systemsRoutine designsArticle221118Q3Q3WOS:0002525104000012-s2.0-3724907078610.1017/S0890060408000012Q2