Determining the level of automation in the cosmetics industry considering new technology
محورهای موضوعی : Production Systems
mahtab hajghasem
1
,
Amir Reza Abtahi
2
,
Reza Yousefi Zenouz
3
1 - Department of Industrial Engineering,
Islamic Azad University, South Tehran Branch, Tehran, Iran
2 - Department of Operations and Information Technology Management,
Kharazmi University, Tehran, Iran
3 - Department of Operations and Information Technology Management,
Kharazmi University, Tehran, Iran
کلید واژه: cloud computing, IoT, Levels of automation, Cosmetics industry, DYNAMO++,
چکیده مقاله :
Research shows that an increment in the levels of automation (LoA) can affect the quality of production, cost efficiency, and performance on a large scale. Increasing the levels of automation (LoA) is essential in this regard and automatization can help overcome the varying problems. This paper develops a new taxonomy to measure and increase the LoA in the cosmetics industry. The proposed taxonomy is presented as a five-dimensional (5-D) matrix. The rows correspond to the LoA considering new technology like Blockchain, Cloud, and Internet of Things (IoT) and the columns conform to Information, Plan, Act, Control, and Decision. This taxonomy can help managers clearly define LoA and according to the main factors in the cosmetics industry increase the current LoA with the use of the current resources. Also, the DYNAMO++ methodology was employed to measure the current LoA of a cosmetics factory and three sets of suggestions were considered to increase the LoA in the factory at issue. These suggestion sets were then compared to each other in terms of key parameters of cost, productivity, quality, and processing time via simulation.
[1] E. Petri, D.I.Y., Coronavirus Solutions Are Gaining Steam, 2020.
[2] Biagini, V., Subasic, M., Oudalov, A., & Kreusel, J. (2020). The autonomous grid: Automation, intelligence and the future of power systems. Energy Research & Social Science, 65, 101460.
[3] Burtnyk, N., & Greenspan, M. A. (1991). Supervised Autonomy-Partitioning Telerobotic Responsibilities Between Human Machine.
[4] Cabrall, C. D., Sheridan, T. B., Prevot, T., de Winter, J. C., & Happee, R. (2018, January). The 4D LINT model of function allocation: Spatialtemporal arrangement and levels of automation. In International Conference on Intelligent Human Systems Integration (pp. 29-34). Springer, Cham.
[5] Chiantella, N. (1982). Achieving integrated automation through computer networks. SME/CASA Computer integrated manufacturing series, 1(2), 2-21.
[6] Clough, B. (2002). Relating Autonomy To a Task: Can It Be Done? In 1st UAV Conference (p. 3445).
[7] Draper, J. V. (1995). Teleoperators for advanced manufacturing: Applications and human factors challenges. International Journal of Human Factors in Manufacturing, 5(1), 53-85.
[8] Duncheon, C. (2002). Product miniaturization requires automation–but with a strategy. Assembly Automation, 22(1), 16-20.
[9] E.Ackerman,Amazon uses 800 robots to run this warehouse, 2019, https://spectrum.ieee.org/automaton/robotics/industrial-robots/amazonintroduces-two-new-warehouse-robots (accessed: 15 April 2020).
[10] Endsley, M. R. (1987, September). The application of human factors to the development of expert systems for advanced cockpits. In Proceedings of the Human Factors Society Annual Meeting (Vol. 31, No. 12, pp. 1388-1392). Sage CA: Los Angeles, CA: SAGE Publications.
[11] Endsley, M. R. (1997, October). Level of automation: Integrating humans and automated systems. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 41, No. 1, pp. 200-204). Sage CA: Los Angeles, CA: SAGE Publications.
[12] Endsley, M. R. (2017). From here to autonomy: lessons learned from human–automation research. Human factors, 59(1), 5-27.
[13] Fasth, Å., Stahre, J., & Dencker, K. (2008). Analyzing changeability and time parameters due to levels of Automation in an assembly system. In Proceedings of the 18th conference on Flexible Automation and Intelligent Manufacturing-FAIM.
[14] Fasth, Å. (2009). Measuring and Analyzing Levels of Automation in assembly systems-For future proactive systems (Doctoral dissertation, Chalmers University of Technology).
[15] Fereidunian, A., Lucas, C., Lesani, H., Lehtonen, M., & Nordman, M. (2007, June). Challenges in implementation of human-automation interaction models. In 2007 Mediterranean Conference on Control & Automation (pp. 1-6). IEEE.
[16] Frohm, J. (2008). Levels of Automation in production systems. Göteborg: Chalmers University of Technology.
[17] Frohm, J., Lindström, V., & Bellgran, M. (2005, July). A model for parallel levels of automation within manufacturing. In 18th International Conference on Production Research (pp. 1-6).
[18] Granell, V., Frohm, J., Bruch, J., & Dencker, K. (2007). Validation of the DYNAMO methodology for measuring and assessing Levels of Automation.
[19] Gorlach, I. A., & Wessel, O. (2007). Case study: Automation Strategies at Volkswagen. In World Congress on Engineering (pp. 1062-1067).
[20] Gupta, U. G., & Clarke, R. E. (1996). Theory and applications of the Delphi technique: A bibliography (1975–1994). Technological forecasting and social change, 53(2), 185-211.
[21] Habib, L., Pacaux-Lemoine, M. P., & Millot, P. (2017). A method for designing levels of automation based on a human-machine cooperation model. IFAC-PapersOnLine, 50(1), 1372-1377.
[22] Hadi, M. A., Brillinger, M., Haas, F., & Weinzerl, M. (2020) Roadmap to an adaptive assembly line for e-axles.
[23] Heiko, A. (2012). Consensus measurement in Delphi studies: review and implications for future quality assurance. Technological forecasting and social change, 79(8), 1525-1536.
[24] Hoffman, R. R., Feltovich, P. J., Ford, K. M., & Woods, D. D. (2002). A rose by any other name... would probably be given an acronym [cognitive systems engineering]. IEEE Intelligent Systems, 17(4), 72-80.
[25] Huegli, D., Merks, S., & Schwaninger, A. (2020). Automation reliability, human–machine system performance, and operator compliance: A study with airport security screeners supported by automated explosives detection systems for cabin baggage screening. Applied Ergonomics, 86, 103094.
[26] Jordan, N. (1963). Allocation of functions between man and machines in automated systems. Journal of applied psychology, 47(3), 161.
[27] Kaber, D. B., Onal, E., & Endsley, M. R. (2000). Design of automation for telerobots and the effect on performance, operator situation awareness, and subjective workload. Human factors and ergonomics in manufacturing & service industries, 10(4), 409-430.
[28] Kaber, D. B., & Endsley, M. R. (2004). The effects of level of automation and adaptive automation on human performance, situation awareness, and workload in a dynamic control task. Theoretical Issues in Ergonomics Science, 5(2), 113-153.
[29] Kendall, J. W. (1977). Variations of Delphi. Technological forecasting and social change, 11(1), 75-85
[30] Kotha, S., & Orne, D. (1989). Generic manufacturing strategies: a conceptual synthesis. Strategic management journal, 10(3), 211-231.
[31] Krogmann, U. (2000). From automation to autonomy-trends towards autonomous combat systems. Bodenseewerk Geraetetechnik GmbH (Germany FR).
[32] Legendre, P. (2010). Coefficient of concordance. Encyclopedia of research design, 1, 164-169.
[33] Lindstrom, V., & Winroth, M. (2010). Aligning manufacturing strategy and levels of automation: A case study. Journal of engineering and technology management, 27(3-4), 148-159.
[34] Lorenz, B., Di Nocera, F., Röttger, S., & Parasuraman, R. (2001, October). The effects of level of automation on the out-of-the-loop unfamiliarity in a complex dynamic fault-management task during simulated spaceflight operations. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 45, No. 2, pp. 44-48). Sage CA: Los Angeles, CA: SAGE Publications [35] Malik, A. A. (2020). Robots and COVID-19: Challenges in integrating robots for collaborative automation. arxiv. org.
[36] Marsh, R. M., & Mannari, H. (1981). Technology and size as determinants of the organizational structure of Japanese factories. Administrative science quarterly, 33-57.
[37] Mital, A., & Pennathur, A. (2004). Advanced technologies and humans in manufacturing workplaces: an interdependent relationship. International journal of industrial ergonomics, 33(4), 295-313.
[38] MahmoudZadeh, S., Powers, D. M., & Zadeh, R. B. (2019). Introduction to autonomy and applications. In Autonomy and Unmanned Vehicles (pp. 1-15). Springer, Singapore.
[39] Mehta, A., & Subramanian, M. (2019). Investigating the barriers to increasing Levels of Automation.: A case study in pre-assembly of tap changer assembly line.
[40] Nagar, B., & Raj, T. (2013). An analytical case study of an advanced manufacturing system for evaluating the impact of human enablers on its performance. Journal of Advances in Management Research.
[41] Narula, S., Prakash, S., Dwivedy, M., Talwar, V., & Tiwari, S. P. (2020). Industry 4.0 adoption key factors: an empirical study on manufacturing industry. Journal of Advances in Management Research.
[42] Norwegian Forum for Autonomous Ships (NFAS): Definitions for Autonomous Merchant Ships (2017)
[43] Ntuen, C. A., & Park, E. H. (1988, October). Human factor issues in teleoperated systems. In Proceedings of the First International Conference on Ergonomics of Hybrid Automated Systems I (pp. 203-210). Elsevier Science Publishers BV.
[44] Ntuen, C. A., & Park, E. H. (Eds.). (2012). Human interaction with complex systems: conceptual principles and design practice (Vol. 372). Springer Science & Business Media.
[45] Ojha, R., Vij, A. K., & Vrat, P. (2014). Manufacturing excellence and its critical factors. Journal of Advances in Management Research.
[46] Riley, V. (1989, October). A general model of mixed-initiative human-machine systems. In Proceedings of the Human Factors Society Annual Meeting (Vol. 33, No. 2, pp. 124-128). Sage CA: Los Angeles, CA: SAGE Publications.
[47] Rouse, W. B., & Rouse, S. H. (1983). Analysis and classification of human error. IEEE Transactions on Systems, Man, and Cybernetics, (4), 539-549.
[48] SAE International: Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles (2018)
[49] Salmi, A., David, P., Blanco, E., & Summers, J. (2015, October). Deciding the level of automation during the design of assembly systems: A literature review of decision methods and a new approach proposal.
[50] Sheridan, T. B., & Verplank, W. L. (1978). Human and computer control of undersea teleoperators. Massachusetts Inst of Tech Cambridge ManMachine Systems Lab.
[51] Sheridan, T. B. (1980). Computer control and human alienation. Technology review, 83(1), 60-73.
[52] Sheridan, T. B. (1992). Telerobotics, automation, and human supervisory control. MIT press.
[53] Schmidt, R. C. (1997). Managing Delphi surveys using nonparametric statistical techniques. decision Sciences, 28(3), 763-774.
[54] Schneider, C., & Andersson, O. (2016). Examining Levels of Automation in the Wood Processing Industry-A case study.
[55] Singh, H., & Khamba, J. S. (2010). An empirical examination for enhancing the utilization level of advanced manufacturing technologies in India. Journal of Advances in Management Research.
[56] Stahre, J., Fasth, Å., (2010, June). Concept model towards optimizing Levels of Automation (LOA) in assembly systems. In Proceedings of the 3rd CIRP Conference on Assembly Technologies and Systems (pp. 1-3).
[57] Pathak, P., Singh, M. P., & Badhotiya, G. K. (2020). Performance obstacles in sustainable manufacturing–model building and validation. Journal of Advances in Management Research.
[58] Parasuraman, R. (2000). Designing automation for human use: empirical studies and quantitative models. Ergonomics, 43(7), 931-951.
[59] Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and Humans, 30(3), 286-297.
[60] Proud, R. W., Hart, J. J., & Mrozinski, R. B. (2003). Methods for determining the level of autonomy to design into a human spaceflight vehicle: a function specific approach. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION HOUSTON TX LYNDON B JOHNSON SPACE CENTER.
[61] Parasuraman, R., & Sheridan, T. B. (2005). Human-Automation Interaction. Reviews of Human Factors and Ergonomics, 89-129.
[62] Poornikoo, M., & Øvergård, K. I. (2022). Levels of automation in maritime autonomous surface ships (MASS): a fuzzy logic approach. Maritime Economics & Logistics, 1-24.
[63 (2016). A literature review on the levels of automation during the years. What are the different taxonomies that have been proposed? Applied ergonomics, 53, 190-202.
[64] Westin, C., Hilburn, B. and Borst, C. (2019). Mismatches between Automation and Human Strategies: An Investigation into Future Air Traffic Management (ATM) Decision Aiding. In Proceedings of the International Symposium on Aviation Psychology (ISAP) 2013 conference, Wright State University, Dayton, Ohio, USA (2013).
[65] Yadav, N., Mathiyazhagan, K., & Kumar, K. (2019). Application of Six Sigma to minimize the defects in glass manufacturing industry. Journal of Advances in Management Research.
