A Methodology for Allocating Functions to People and        Machines in Manufacturing Systems
{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}
{'SignBlockName': 'K. (Cheena) Srinivasan', 'PO_EMAI': None, 'PO_PHON': None}
This effort will investigate the feasibility of a methodology to                allocate functions to people and/or machines in manufacturing systems           based upon the requirements of the tasks to be performed and the                capability of each system.  The methodology will involve a taxonomy of          task characteristics and a taxonomy of characteristics of hyman and             machine systems that are used to perform those tasks.  The effort               involves a cross-disciplinary approach in that it will integrate the            technical state-of-the-art in flexible manufacturing systems with task          analysis methods from the field of human factors engineering.  The goal         of the effort is to integrate the literatures from these two technicl           areas and establish the feasibility of a methodology to match                   functional requirements with human and/or robotic capabilities.
[{'FirstName': 'O.Felix', 'LastName': 'Offodile', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'O.Felix Offodile', 'EmailAddress': None, 'NSF_ID': '000244299', 'StartDate': '09/01/1986', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Steven', 'LastName': 'Johnson', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Steven L Johnson', 'EmailAddress': 'sjohnson@uark.edu', 'NSF_ID': '000402114', 'StartDate': '09/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]
{'Name': 'University of Arkansas', 'CityName': 'FAYETTEVILLE', 'ZipCode': '727013124', 'PhoneNumber': '4795753845', 'StreetAddress': '1125 W MAPLE ST STE 316', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arkansas', 'StateCode': 'AR', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'AR03', 'ORG_UEI_NUM': 'MECEHTM8DB17', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARKANSAS', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '1468', 'Text': 'Manufacturing Machines & Equip'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1986&All=true', 'xml': '8611149.xml'}