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    Opportunity Window for Energy Saving and Maintenance in Stochastic Production Systems 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 012:;page 121009
    Author(s): Zou, Jing; Arinez, Jorge; Chang, Qing; Lei, Yong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Energy efficiency improvement and timely preventive maintenance (PM) are critical in manufacturing industry due to the rising energy cost, environmental concerns, and increasing requirements on system reliability. By ...
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    Special Issue: Sustainable Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 010:;page 100301
    Author(s): Dornfeld, (Deceased), David A.; Arinez, Jorge; Hapaala, Karl; Helu, Moneer
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Cost Analysis and Fuzzy Control for Collapsible Container Usage Based on Closed-Loop Supply Chain Model 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 008:;page 81005
    Author(s): Ou, Xinyan; Arinez, Jorge; Chang, Qing; Xiao, Guoxian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the last decade, global competition has forced manufacturers to optimize logistics. The implementation of collapsible containers provides a new perspective for logistics cost savings, since using collapsible containers ...
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    Modeling and Dynamic Assignment of the Adaptive Buffer Spaces in Serial Production Lines 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 003:;page 031005-1
    Author(s): Huang, Jing; Chang, Qing; Arinez, Jorge
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In production systems, the buffer capacities have usually been assumed to be fixed during normal operations. Inspired by the observations from the real industrial operations, a novel concept of Adaptive Buffer Space (ABS) ...
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    Enhanced Performance of Ultrasonic Welding of Short Carbon Fiber Polymer Composites Through Control of Morphological Parameters 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 001:;page 011009-1
    Author(s): Lee, Tae Hwa; Fan, Hua-Tzu; Li, Yang; Shriver, Daniel; Arinez, Jorge; Xiao, Guoxian; Banu, Mihaela
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ultrasonic welding (USW) is one of the joining technologies that can be applied to short carbon fiber thermoplastic composites. In this study, the USW of Nylon 6 reinforced by short carbon fibers created using injection ...
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    Ultrasonic Welding of Carbon Fiber Reinforced Composite With Variable Blank Holding Force 

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009:;page 91011
    Author(s): Li, Yang; Arinez, Jorge; Liu, Zhiwei; Hwa Lee, Tae; Fan, Hua-Tzu; Xiao, Guoxian; Banu, Mihaela; Jack Hu, S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Energy directors (EDs) have been widely used in ultrasonic welding (UW) of polymers and polymer-based composites. They help concentrate the welding energy and localize the weld at the location where the EDs are present. ...
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    Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing 

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 009:;page 91005
    Author(s): Brundage, Michael P.; Sexton, Thurston; Hodkiewicz, Melinda; Morris, KC; Arinez, Jorge; Ameri, Farhad; Ni, Jun; Xiao, Guoxian
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Recent efforts in smart manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications, and computational platforms, along with statistical methods to collect and analyze ...
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    Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook 

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 142 ):;issue: 011:;page 0110804-1
    Author(s): Arinez, Jorge F.; Chang, Qing; Gao, Robert X.; Xu, Chengying; Zhang, Jianjing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Today’s manufacturing systems are becoming increasingly complex, dynamic, and connected. The factory operations face challenges of highly nonlinear and stochastic activity due to the countless uncertainties and interdependencies ...
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