An Enhancer for Discrete Event Simulation Languages
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
{'SignBlockName': 'Ritchie B. Coryell', 'PO_EMAI': None, 'PO_PHON': None}
This is a Small Business Innovative Research Phase II award to          research and develop a decision support software tool utilizing the             theory of perturbation analysis (PA) and its extensions for the design          and simulation of discrete parts manufacturing systems.  In particular,         it is expected that the tool will have the following features:                          It can be adapted to any existing discrete event simulation             languages to enhance their outputs with additional performance                  sensitivity information without the need for brute force repeated               simulations. It will be data driven and transparent to the user.                        It will be applicable to a sufficiently general class of                manufacturing systems. It can also be integrated with existing queueing         network models of such systems wherever appropriate to avoid duplication        of data entry.  This proposal demonstrates that the PA theory and its           extensions to multiclass situations will make the above objectives              attainable.
{'FirstName': 'Gregory', 'LastName': 'Diehl', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gregory W Diehl', 'EmailAddress': None, 'PI_PHON': '6172704120', 'NSF_ID': '000269059', 'StartDate': '08/01/1987', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
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{'Code': '5373', 'Text': 'SBIR Phase II'}
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