An FIS-Integrated Multi-Objective Goal Programming Model for Cobot Assignment Problem

Main Article Content

Marrisa Kimaporn
Wuttinan Nunkaew

Abstract

Due to facing multiple factors in the cobot assignment problem, considering only a single one as in the traditional assignment method cannot guarantee the optimal solution. This research then proposed a multi-objective goal programming model for solving this problem with the consideration of relationships between workers, cobots, and tasks. The Fuzzy Inference System (FIS) was integrated to analyze the performance and preference of the assignment based on 24 criteria. The comparison results demonstrated that the proposed method obtained the overall performance and preference values that overcome the conventional assignment method considering only cobot functions.

Article Details

How to Cite
[1]
M. Kimaporn and W. Nunkaew, “An FIS-Integrated Multi-Objective Goal Programming Model for Cobot Assignment Problem”, sej, vol. 19, no. 2, pp. 65–81, Aug. 2024.
Section
Research Articles

References

S. Nahavandi, "Industry 5.0—A Human-Centric Solution," Sustainability, vol. 11, p. 4371, 2019.

J. Pizon, M. Cioch, L. Kanski and E. Sánchez García, "Cobots Implementation in the Era of Industry 5.0 Using Modern Business and Management Solutions," Adv. Sci. Technol. Res. J., vol. 16, no. 6, pp. 166-178, 2022.

J. E. Colgate, W. Wannasuphoprasit and M. A. Peshkin, "Cobots: robots for collaboration with human operators," in American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC, vol. 58, pp. 433-439, 1996.

M. Kimaporn and W. Nunkaew, "A Fuzzy Inference System-Based Hybrid Assignment Method for Cobot Assignment Problem," in Robotics, Automation, and Artificial Intelligence, Singapore, December 14-16 2023.

A. Djuric, R. J. Urbanic and J. Rickli, "A Framework for Collaborative Robot (CoBot) Integration in Advanced Manufacturing Systems," SAE International Journal of Materials and Manufacturing, vol. 9, 2016.

A. Zanella, A. Cisi, M. Costantino, M. Di Pardo, G. Pasquettaz and G. Vivo, "Criteria Definition for the Identification of HRC Use Cases in Automotive Manufacturing," Procedia Manufacturing, vol. 11, pp. 372-379, 2017.

A. Bettoni, E. Montini, M. Righi, V. Villani, R. Tsvetanov, S. Borgia, C. Secchi and E. Carpanzano, "Mutualistic and Adaptive Human-Machine Collaboration Based on Machine Learning in an Injection Moulding Manufacturing Line," Procedia CIRP, vol. 93, pp. 395-400, 2020.

P. Tsarouchi, S. Makris and G. Chryssolouris, "Human–robot interaction review and challenges on task planning and programming," International Journal of Computer Integrated Manufacturing, vol. 29, no. 8, pp. 916-931, 2016.

A. A. Malik and A. Bilberg, "Complexity-based task allocation in human-robot collaborative assembly," Industrial Robot, 2019.

F. Ranz, V. Hummel, and W. Sihn, "Capability-based task allocation in human-robot collaboration," Procedia manufacturing, vol.9, pp.182-189, 2017.

M. Faccio, I. Granata and R. Minto, "Task allocation model for human-robot collaboration with variable cobot speed," Journal of Intelligent Manufacturing, vol.15, pp.793-806, 2024.

A. Raatz, S. Blankemeyer, T. Recker, D. Pischke and P. Nyhuis, "Task scheduling method for HRC workplaces based on capabilities and execution time assumptions for robots," CIRP Annals, vol. 69, no. 1, pp. 13-16, 2020.

S. Blankemeyer, T. Recker, T. Stuke, J. Brokmann, M. Geese, M. Reiniger, D Pischke, A. Oubari and A. Raatz, "A Method to Distinguish Potential Workplaces for Human-Robot Collaboration," Procedia CIRP, vol. 76, pp. 171-176, 2018.

P. Tsarouchi, S. Makris and G. Chryssolouris, "Human – robot interaction review and challenges on task planning and programming," International Journal of Computer Integrated Manufacturing, vol. 29, pp. 1-16, 2016.

P. Tsarouchi, J. Spiliotopoulos, G. Michalos, S. Koukas, A. Athanasatos,S. Makris and G. Chryssolouris , "A Decision Making Framework for Human Robot Collaborative Workplace Generation," Procedia CIRP, vol. 44, pp. 228-232, 2016.

M. Faber, A. Mertens and C. Schlick, "Cognition-enhanced assembly sequence planning for ergonomic and productive human–robot collaboration in self-optimizing assembly cells," Production Engineering, vol. 11, 2017.

A. Kinast, K. F. Doerner, and S. Rinderle-Ma, "Biased random-key genetic algorithm for cobot assignment in an assembly/disassembly job shop scheduling problem," Procedia Computer Science, vol. 180, pp. 328-337, 2021.

A. Kinast, K. F. Doerner and S. Rinderle-Ma, "Combining metaheuristics and process mining: Improving cobot placement in a combined cobot assignment and job shop scheduling problem," Procedia Computer Science, vol. 200, pp. 1836-1845, 2022.

A. Kinast, R. Braune, K. F. Doerner, S. Rinderle-Ma and C. Weckenborg, "A hybrid metaheuristic solution approach for the cobot assignment and job shop scheduling problem," Journal of Industrial Information Integration, vol. 28, p. 100350, 2022.

M. C. Gombolay, R. A. Gutierrez, S. G. Clarke, G. F. Sturla and J. A. Shah, "Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams," Autonomous Robots, vol. 39, no. 3, pp. 293-312, 2015.

C. Schmidbauer, S. Zafari, B. Hader and S. Schlund, "An Empirical Study on Workers' Preferences in Human-Robot Task Assignment in Industrial Assembly Systems," IEEE Transactions on Human-Machine Systems, Article vol. 53, no. 2, pp. 293-302, 2023.

A. Tausch, A. Kluge, and L. Adolph, "Psychological Effects of the Allocation Process in Human-Robot Interaction - A Model for Research on ad hoc Task Allocation," Frontiers in Psychology, vol. 11, 2020.

D. M. D’Addona, F. Bracco, A. Bettoni, N. Nishino, E. Carpanzano and A. A. Bruzzone, "Adaptive automation and human factors in manufacturing: An experimental assessment for a cognitive approach," CIRP Annals, vol. 67, no. 1, pp. 455-458, 2018.

T. Koltai, I. Dimény, V. Gallina, A. Gaal and C. Sepe, "An analysis of task assignment and cycle times when robots are added to human-operated assembly lines, using mathematical programming models," International Journal of Production Economics, vol. 242, p. 108292, 2021.

G. Boschetti, M. Faccio, M. Milanese, R. Minto, "C-ALB (Collaborative Assembly Line Balancing): a new approach in cobot solutions," The International Journal of Advanced Manufacturing Technology, vol. 116, no. 9, pp. 3027-3042, 2021.

G. Michalos, J. Spiliotopoulos, S. Makris and G. Chryssolouris, "A method for planning human robot shared tasks," CIRP Journal of Manufacturing Science and Technology, vol. 22, pp. 76-90, 2018.

L. Gualtieri, E. Rauch, R. Vidoni, and D. T. Matt, "Safety, Ergonomics and Efficiency in Human-Robot Collaborative Assembly: Design Guidelines and Requirements," Procedia CIRP, vol. 91, pp. 367-372, 2020.

Y. Y. Liau and K. Ryu, "Task Allocation in Human-Robot Collaboration (HRC) Based on Task Characteristics and Agent Capability for Mold Assembly," Procedia Manufacturing, vol. 51, pp. 179-186, 2020.

Y. Y. Liau and K. Ryu, "Genetic algorithm-based task allocation in multiple modes of human–robot collaboration systems with two cobots," The International Journal of Advanced Manufacturing Technology, vol. 119, no. 11, pp. 7291-7309, 2022.

D. Guo, "Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly," Robotics and Computer-Integrated Manufacturing, vol. 85, p. 102620, 2024.

M. IJtsma, L. M. Ma, A. R. Pritchett and K. M. Feigh, "Computational Methodology for the Allocation of Work and Interaction in Human-Robot Teams," Journal of Cognitive Engineering and Decision Making, vol. 13, no. 4, pp. 221-241, 2019.

A. Bilberg and A. A. Malik, "Digital twin driven human–robot collaborative assembly," CIRP Annals, vol. 68, no. 1, pp. 499-502, 2019.

M. Dalle Mura and G. Dini, "Designing assembly lines with humans and collaborative robots: A genetic approach," CIRP Annals, vol. 68, no. 1, pp. 1-4, 2019.

M. Dalle Mura and G. Dini, "Optimizing ergonomics in assembly lines: A multi objective genetic algorithm," CIRP Journal of Manufacturing Science and Technology, vol. 27, pp. 31-45, 2019.

V. V. Unhelkar et al., "Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time," IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 2394-2401, 2018.

G. Evangelou, N. Dimitropoulos, G. Michalos and S. Makris, "An approach for task and action planning in Human–Robot Collaborative cells using AI," Procedia CIRP, vol. 97, pp. 476-481, 2021.

S. Takata and T. Hirano, "Human and robot allocation method for hybrid assemblysystems," CIRP Annals, vol. 60, no. 1, pp. 9-12, 2011.

L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, no. 3, pp. 338-353, 1965.

D. S. Hooda, V. Raich, and C. St, Fuzzy Logic Models and Fuzzy Control. An Introduction. 2022.

G. Feng, "Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach," 2010.

Z. Kovacic and S. Bogdan, Fuzzy Controller Design: Theory and Applications. 2010.

İ. Altas, Fuzzy Logic Control in Energy Systems with design applications in MATLAB® /Simulink®. 2017.

M. H. Eghbal Ahmadi, S. J. Royaee, S. Tayyebi, and R. Bozorgmehry Boozarjomehry, "A new insight into implementing Mamdani fuzzy inference system for dynamic process modeling: Application on flash separator fuzzy dynamic modeling," Engineering Applications of Artificial Intelligence, vol. 90, p. 103485, 2020.