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ORCIDQing Chang 0001
Person information
- affiliation: University of Virginia, Department of Mechanical and Aerospace Engineering, VA, USA
- affiliation: Stony Brook University, Department of Mechanical Engineering, NY, USA
- affiliation (former): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Qing Chang — disambiguation page
- Qing Chang 0002
![[0000-0002-6293-1922]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6293-1922")
— Tianjin University of Commerce, School of Mechanical Engineering, China - Qing Chang 0003 — Beihang University, School of Electronic and Information Engineering, Beijing, China
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Journal Articles
- 2024
[j38]Cheng Zhu, Tian Yu, Qing Chang:
Task-oriented safety field for robot control in human-robot collaborative assembly based on residual learning. Expert Syst. Appl. 238(Part C): 121946 (2024)- [j37]Muhammad Waseem, Chen Li, Qing Chang:
Dynamic modeling and analysis of multi-product flexible production line. Int. J. Comput. Integr. Manuf. 37(1-2): 108-122 (2024) - 2023
- [j36]Tian Yu, Qing Chang:
Scalable Motion Planning and Task-Oriented Coordination Scheme for Mobile Manipulators in Smart Manufacturing. J. Intell. Robotic Syst. 109(3): 72 (2023) - [j35]Kshitij Bhatta, Qing Chang:
Integrating Robot Assignment and Maintenance Management: A Multi-Agent Reinforcement Learning Approach for Holistic Control. IEEE Robotics Autom. Lett. 8(9): 5338-5344 (2023) - [j34]Kshitij Bhatta, Qing Chang:
An integrated control strategy for simultaneous robot assignment, tool change and preventive maintenance scheduling using Heterogeneous Graph Neural Network. Robotics Comput. Integr. Manuf. 84: 102594 (2023) - 2022
- [j33]Jianyu Su, Jing Huang, Stephen C. Adams, Qing Chang, Peter A. Beling:
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems. Expert Syst. Appl. 192: 116323 (2022) - [j32]Tian Yu, Qing Chang:
User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing. Expert Syst. Appl. 209: 118291 (2022) - [j31]Kshitij Bhatta, Jing Huang, Qing Chang:
Dynamic Robot Assignment for Flexible Serial Production Systems. IEEE Robotics Autom. Lett. 7(3): 7303-7310 (2022) - [j30]Chen Li, Qing Chang, Guoxian Xiao, Jorge Arinez:
Integrated Process-System Modeling and Performance Analysis for Serial Production Lines. IEEE Robotics Autom. Lett. 7(3): 7431-7438 (2022) - [j29]Yang Li, Peng-Hao Cui, Jun-Qiang Wang, Qing Chang:
Energy-Saving Control in Multistage Production Systems Using a State-Based Method. IEEE Trans Autom. Sci. Eng. 19(4): 3324-3337 (2022) - 2021
- [j28]Qing Chang, Ashkan Sebghati:
Efficient Algorithm Based on Adaptive Window-Model Predictive Control for Automatic Stacking in Warehouse Center. IEEE Access 9: 94813-94825 (2021) - [j27]Chen Li, Jing Huang, Qing Chang:
Data-Enabled Permanent Production Loss Analysis for Serial Production Systems With Variable Cycle Time Machines. IEEE Robotics Autom. Lett. 6(4): 6418-6425 (2021) - [j26]Xinyan Ou, Qing Chang, Nilanjan Chakraborty:
A Method Integrating Q-Learning With Approximate Dynamic Programming for Gantry Work Cell Scheduling. IEEE Trans Autom. Sci. Eng. 18(1): 85-93 (2021) - [j25]Ying Tang, Congbo Li, Andrea Matta, Qing Chang:
Special Issue on Intelligent Energy Solutions to Sustainable Production and Service Automation. IEEE Trans Autom. Sci. Eng. 18(2): 615-617 (2021) - 2020
- [j24]Jing Zou, Qing Chang, Jorge Arinez:
Analysis of Downtime Transient Impact for Energy Efficient Manufacturing Systems. IEEE Access 8: 124020-124031 (2020) - [j23]Tian Yu, Jing Huang, Qing Chang:
Mastering the Working Sequence in Human-Robot Collaborative Assembly Based on Reinforcement Learning. IEEE Access 8: 163868-163877 (2020) - [j22]Jing Huang, Qing Chang, Jorge Arinez:
Deep reinforcement learning based preventive maintenance policy for serial production lines. Expert Syst. Appl. 160: 113701 (2020) - 2018
- [j21]Xinyan Ou, Qing Chang, Jorge Arinez, Jing Zou:
Gantry Work Cell Scheduling through Reinforcement Learning with Knowledge-guided Reward Setting. IEEE Access 6: 14699-14709 (2018) - [j20]Jing Zou, Qing Chang, Jorge Arinez, Guoxian Xiao:
Analysis and Evaluation of Control Action End-State Impact on Manufacturing System Future Production. IEEE Access 6: 60187-60197 (2018) - [j19]Jing Huang, Qing Chang, Jing Zou, Jorge Arinez:
A Real-Time Maintenance Policy for Multi-Stage Manufacturing Systems Considering Imperfect Maintenance Effects. IEEE Access 6: 62174-62183 (2018) - [j18]Yang Li, Qing Chang, Jun Ni, Michael P. Brundage:
Event-Based Supervisory Control for Energy Efficient Manufacturing Systems. IEEE Trans Autom. Sci. Eng. 15(1): 92-103 (2018) - [j17]Xinyan Ou, Qing Chang, Jing Zou, Jorge Arinez, Guoxian Xiao:
Modeling and Performance Diagnostics of Composite Work Cells With Gantries. IEEE Trans Autom. Sci. Eng. 15(3): 1230-1242 (2018) - [j16]Jing Zou, Qing Chang, Yong Lei, Jorge Arinez:
Event-Based Modeling and Analysis of Sensor Enabled Networked Manufacturing Systems. IEEE Trans Autom. Sci. Eng. 15(4): 1930-1945 (2018) - [j15]Jing Zou, Qing Chang, Yong Lei, Jorge Arinez:
Production System Performance Identification Using Sensor Data. IEEE Trans. Syst. Man Cybern. Syst. 48(2): 255-264 (2018) - 2017
- [j14]Jing Zou, Qing Chang, Jorge Arinez, Guoxian Xiao, Yong Lei:
Dynamic production system diagnosis and prognosis using model-based data-driven method. Expert Syst. Appl. 80: 200-209 (2017) - [j13]Yang Li, Qirong Tang, Qing Chang, Michael P. Brundage:
An event-based analysis of condition-based maintenance decision-making in multistage production systems. Int. J. Prod. Res. 55(16): 4753-4764 (2017) - [j12]Xinyan Ou, Qing Chang, Nilanjan Chakraborty, Junfeng Wang:
Gantry Scheduling for Multi-Gantry Production System by Online Task Allocation Method. IEEE Robotics Autom. Lett. 2(4): 1848-1855 (2017) - [j11]Leiming Zhang, Yong Lei, Qing Chang:
Intermittent Connection Fault Diagnosis for CAN Using Data Link Layer Information. IEEE Trans. Ind. Electron. 64(3): 2286-2295 (2017) - 2016
- [j10]Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao:
Sustainable Manufacturing Performance Indicators for a Serial Production Line. IEEE Trans Autom. Sci. Eng. 13(2): 676-687 (2016) - [j9]Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao:
Implementing a Real-Time, Energy-Efficient Control Methodology to Maximize Manufacturing Profits. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 855-866 (2016) - 2015
- [j8]Yang Li, Qing Chang, Guoxian Xiao, Jorge Arinez:
Data-Driven Analysis of Downtime Impacts in Parallel Production Systems. IEEE Trans Autom. Sci. Eng. 12(4): 1541-1547 (2015) - [j7]Yong Lei, Haibo Xie, Yong Yuan, Qing Chang:
Fault Location for the Intermittent Connection Problems on CAN Networks. IEEE Trans. Ind. Electron. 62(11): 7203-7213 (2015) - [j6]Yang Li, Qing Chang, Michael P. Brundage, Stephan Biller, Jorge Arinez, Guoxian Xiao:
Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control. IEEE Trans. Syst. Man Cybern. Syst. 45(1): 109-121 (2015) - 2014
- [j5]Michael P. Brundage, Qing Chang, Yang Li, Guoxian Xiao, Jorge Arinez:
Energy Efficiency Management of an Integrated Serial Production Line and HVAC System. IEEE Trans Autom. Sci. Eng. 11(3): 789-797 (2014) - 2013
- [j4]Qing Chang, Guoxian Xiao, Stephan Biller, Lin Li:
Energy Saving Opportunity Analysis of Automotive Serial Production Systems (March 2012). IEEE Trans Autom. Sci. Eng. 10(2): 334-342 (2013) - 2012
- [j3]Yong Wang, Lin Li, Shuhong Huang, Qing Chang:
Reliability and covariance estimation of weighted k-out-of-n multi-state systems. Eur. J. Oper. Res. 221(1): 138-147 (2012) - 2011
- [j2]Junfeng Wang, Qing Chang, Guoxian Xiao, Nan Wang, Shiqi Li:
Data driven production modeling and simulation of complex automobile general assembly plant. Comput. Ind. 62(7): 765-775 (2011) - 2007
- [j1]Qing Chang, Jun Ni, Pulak Bandyopadhyay, Stephan Biller, Guoxian Xiao:
Maintenance staffing management. J. Intell. Manuf. 18(3): 351-360 (2007)
Conference and Workshop Papers
- 2022
- [c17]Tian Yu, Qing Chang:
Motion Planning for Human-Robot Collaboration based on Reinforcement Learning. CASE 2022: 1866-1871 - 2021
- [c16]Jing Huang, Qing Chang, Jorge Arinez:
Predicting the Distribution of Product Completion Time in Multi-Product Manufacturing Systems. CASE 2021: 316-323 - 2020
- [c15]Jing Huang, Qing Chang, Jorge Arinez:
Distributed Production Scheduling for Multi-Product Flexible Production Lines. CASE 2020: 1473-1478 - 2019
- [c14]Yu Qian, Jorge Arinez, Guoxian Xiao, Qing Chang:
Improved Production Performance Through Manufacturing System Learning. CASE 2019: 517-522 - [c13]Jing Huang, Qing Chang, Nilanjan Chakraborty:
Machine Preventive Replacement Policy for Serial Production Lines Based on Reinforcement Learning. CASE 2019: 523-528 - [c12]Junfeng Wang, Min Qian, Lingui Hu, Shiqi Li, Qing Chang:
Energy Saving Scheduling of A Single Machine System Based on Bi-objective Particle Swarm Optimization*. CASE 2019: 585-589 - 2018
- [c11]Jing Huang, Qing Chang, Jing Zou, Jorge Arinez, Guoxian Xiao:
Real-time Control of Maintenance on Deteriorating Manufacturing System. CASE 2018: 211-216 - [c10]Jing Zou, Qing Chang, Jing Huang, Jorge Arinez, Guoxian Xiao:
Analysis of End-of-State Impact on Manufacturing System Production Performance. CASE 2018: 823-828 - [c9]Zicheng Fei, Shiqi Li, Qing Chang, Junfeng Wang, Yaqin Huang:
Fuzzy Petri Net Based Intelligent Machine Operation of Energy Efficient Manufacturing System. CASE 2018: 1593-1598 - 2017
- [c8]Junfeng Wang, Yi Feng, Zicheng Fei, Shiqi Li, Qing Chang:
Markov chain based idle status control of stochastic machines for energy saving operation. CASE 2017: 1019-1023 - [c7]Junfeng Wang, Jin Xue, Eliana Torres Duque, Shiqi Li, Qing Chang:
Fuzzy decision of machine switch on-off for energy efficient operation of manufacturing system. CASE 2017: 1158-1162 - [c6]Wei Zheng, Yong Lei, Qing Chang:
Comparison study of two reinforcement learning based real-time control policies for two-machine-one-buffer production system. CASE 2017: 1163-1168 - 2015
- [c5]Michael P. Brundage, Qing Chang, Jorge Arinez, Jon Longtin, Tao He:
Evaluating and reducing production impact on HVAC cooling load. CASE 2015: 212-217 - 2014
- [c4]Michael P. Brundage, Qing Chang, Yang Li, Jorge Arinez, Guoxian Xiao:
Utilizing energy opportunity windows and energy profit bottlenecks to reduce energy consumption per part for a serial production line. CASE 2014: 461-466 - [c3]Xiaoning Jin, Jun Ni, S. Jack Hu, Guoxian Xiao, Qing Chang:
Threshold-type admission policy for remanufacturing systems. CASE 2014: 467-473 - 2013
- [c2]Michael Brundage, Qing Chang, Yang Li, Guoxian Xiao, Jorge Arinez:
Energy efficiency management of an integrated serial production line and HVAC system. CASE 2013: 634-639 - [c1]Michael Brundage, Qing Chang, Shiyao Wang, Shaw C. Feng, Guoxian Xiao, Jorge Arinez:
Energy Savings Opportunities and Energy Efficiency Performance Indicators for a Serial Production Line. APMS (1) 2013: 302-309
Informal and Other Publications
- 2022
- [i3]Jing Huang, Hua-Tzu Fan, Guoxian Xiao, Qing Chang:
Paint shop vehicle sequencing based on quantum computing considering color changeover and painting quality. CoRR abs/2206.11204 (2022) - [i2]Tian Yu, Qing Chang:
Reinforcement Learning Based User-Guided Motion Planning for Human-Robot Collaboration. CoRR abs/2207.00492 (2022) - 2020
- [i1]Tian Yu, Jing Huang, Qing Chang:
Mastering the working sequence in human-robot collaborative assembly based on reinforcement learning. CoRR abs/2007.04140 (2020)
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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