Research Initiation:  Hierarchical Production Theory and    Real Time Control
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
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An important problem in industry is coordinating production processes           in multi-product factories, so as to minimize the sum of production and         inventory costs.  In this research effort, the plan is to generalize a          method previously developed for scheduling production in such plants            (e.g., paper mills).  First, a classical production model schedules             end-of-period inventories for finite periods, as well as cumulative or          aggregate quantities of production.  Then, a parametric method                  schedules production within each period to meet the planned goals for           end-of-period inventories and total production, taking capacity                 constraints into consideration.  Product prices are used as incentives          to produce and as penalties for deviating from target inventory levels.         The program simulates the consequences of choosing specific products            for specific time periods.  It generates good (not optimum) schedules           rapidly, and thus can be used interactively.  Schedules can be changed          in real time to reflect changing or unforeseen conditions.  A variety           of mathematical methods will be used to improve product sequencing,             choice of time period, and transition of production from one product to         another.
{'FirstName': 'John', 'LastName': 'Vande Vate', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John H Vande Vate', 'EmailAddress': 'John.vandevate@isye.gatech.edu', 'NSF_ID': '000141293', 'StartDate': '09/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}
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{'Code': '5514', 'Text': 'OPERATIONS RESEARCH'}
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