Sequence Planning Considering Human Fatigue for Human-Robot Collaboration in Disassembly

Abstract Disassembly, which plays an essential role in remanufacturing, is the first step to extend the service life of end-of-life (EOL) products. Traditional disassembly is always accomplished by either humans or robots. Manual disassembly is a time-consuming process, and the high labour intensity will also pose a threat to human health, while robotic disassembly is difficult to flexibly handle complex parts. Continuous manual work leads to the accumulation of fatigue, which decreases the efficiency of manual work. In this paper, sequence planning considering human fatigue for human-robot collaboration in disassembly (HRCD) is proposed. This method involves assigning disassembly task to human and robot according to their respective characteristics, models for HRCD considering human fatigue is established. In the case of disassembling batches products with the same type, discrete Bees algorithm is used to obtain the optimal disassembly sequence to minimize the total disassembly time. Case studies based on gear pumps show that the proposed algorithm outperforms the other two optimization algorithms in solution quality.

[1]  Peihua Gu,et al.  Selective Disassembly Planning for the End-of-life Product☆ , 2017 .

[2]  Mohamad Y. Jaber,et al.  Incorporating human fatigue and recovery into the learning–forgetting process , 2013 .

[3]  Ajd Fred Lambert,et al.  Disassembly sequencing: A survey , 2003 .

[4]  Rui Li,et al.  Robot action planning by online optimization in human–robot collaborative tasks , 2018, International Journal of Intelligent Robotics and Applications.

[5]  Kuo-Ming Chao,et al.  Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystaldisplays , 2013 .

[6]  Surendra M. Gupta,et al.  Disassembly Sequencing Using Tabu Search , 2016, J. Intell. Robotic Syst..

[7]  Moez Trigui,et al.  Optimization of disassembly sequence planning for preventive maintenance , 2017 .

[8]  Sotiris Makris,et al.  On a human-robot collaboration in an assembly cell , 2017, Int. J. Comput. Integr. Manuf..

[9]  Gianluca Percoco,et al.  Preliminary Evaluation of Artificial Bee Colony Algorithm When Applied to Multi Objective Partial Disassembly Planning , 2013 .

[10]  Alexander Verl,et al.  Cooperation of human and machines in assembly lines , 2009 .

[11]  Véronique Perdereau,et al.  Cooperative Tasks between Humans and Robots in Industrial Environments , 2012 .

[12]  Lihui Wang,et al.  Brainwaves driven human-robot collaborative assembly , 2018 .

[13]  D. Pham,et al.  Honey Bees Inspired Optimization Method: The Bees Algorithm , 2013, Insects.

[14]  Mohamad Y. Jaber,et al.  Modelling worker reliability with learning and fatigue , 2015 .

[15]  Giulia Bruno,et al.  Dynamic task classification and assignment for the management of human-robot collaborative teams in workcells , 2018, The International Journal of Advanced Manufacturing Technology.

[16]  Duc Truong Pham,et al.  Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing , 2018, Int. J. Prod. Res..

[17]  MengChu Zhou,et al.  Probability Evaluation Models of Product Disassembly Cost Subject to Random Removal Time and Different Removal Labor Cost , 2012, IEEE Transactions on Automation Science and Engineering.

[18]  Christopher M. Schlick,et al.  Human-robot Cooperation in Future Production Systems: Analysis of Requirements for Designing an Ergonomic Work System☆ , 2015 .

[19]  Giovanni Mummolo,et al.  The effect of dynamic worker behavior on flow line performance , 2009 .

[20]  Tullio Tolio,et al.  Motion planning and scheduling for human and industrial-robot collaboration , 2017 .

[21]  Abdelhakim Khatab,et al.  State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing , 2017, Int. J. Prod. Res..