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Unique identification technologies Application environments Manufacturing and maintenance

Unique ID of Tooling & Equipment at Pine Bluff Arsenal PIs: Justin R. Chimka, Earnest W. Fant, Nebil Buyurgan Research Assistant: David Scott.

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Unique identification technologies Application environments Manufacturing and maintenance

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  1. Unique ID of Tooling & Equipment at Pine Bluff Arsenal PIs: Justin R. Chimka, Earnest W. Fant, Nebil BuyurganResearch Assistant: David Scott Investigate unique identification technologies, define application environment and assist Pine Bluff Arsenal by identifying opportunities for improved manufacturing and maintenance • Equipment maintenance • Externally/Internally calibrated tooling • Production/Quality tool cribs • Unique identification technologies • Application environments • Manufacturing and maintenance Automate data entry to assist tracking of portable tooling, scheduling of preventative maintenance and calibration, and general data management of production area tools and machinery Intelligent Systems U. of Arkansas UA05-PBA

  2. Project Title:Human-centric Mobile Information Technology in Air Force LogisticsPrincipal Investigator: Steven L. Johnson, Ph.D., PEResearch Team:Karthik Racheru Intelligent Systems University of Arkansas Project # __UA-AFRL 2045___

  3. Culture Effective LogisticsTeam TeamCognition Technology Support Cognitive Modeling of Group Decision Behaviors in Multi-Cultural Contexts • To empirically investigate the effects of cultural differences and task environments on logistics-related decision makings in multi-cultural contexts • To develop cognitive model of logistics decision making behaviors in multi-cultural contexts, based on team performance and team cognition Collaborator PI Chang S. Nam, Ph.D. HCI Lab (UA) Amy S. Turner AFRL Collaborator Tonya L. Smith-Jackson, Ph.D. ACE/HCI Lab (VT) Research Assistant HCI Lab • Immad Qazi • Ravi S. Gunda • Robert A. Furrey HF students • Broader Impact: • Team dynamics in multi-cultural contexts and multi-agency team coordination • Culturally relevant intervention strategies • Effectiveness of group support technology • Culture-centered team decision behavior model Project #: UA-AFRL 2065 Thrust Area: Intelligent Systems

  4. Research Goals Study 1:Team Decision Making in Multi-Cultural Contexts • To identify key issues/barriers regarding team decision makings in multi-cultural contexts • To empirically investigate cultural and environmental determinants that affect team decision making behaviors in multi-cultural contexts Independent Variables Dependent Variables Homogeneous Culture group Team performance Heterogeneous • Net income • Customer wait time • Task time CMC Communication mode FTF Task characteristic Dynamic Team cognition Routine • Team process • Communication • Mental models First period Time span Middle period Latter period Project #: UA-AFRL 2065 Thrust Area: Intelligent Systems

  5. Research Goals Study 2:Experimental Evidence on Multi-Agency Team Coordination • To empirically investigate how multi-agency logistics teams respond to emergency that needs major medical coordination • To identify environmental determinants that affect multi-agency logistics team coordination and collaboration Independent Variables Dependent Variables Awareness Team performance Lowlevel Highlevel • Task time • Waiting time • Inventory level Cross training Shared learning Notraining Team cognition ATV Communication mode • Communication • Mental models • Coordination AT Project #: UA-AFRL 2065 Thrust Area: Intelligent Systems

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