A Data-Driven Framework for Team Formation for Maintenance Tasks
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Published
Mar 24, 2021
Maya Reslan
Emily M. Hastings
Michael P. Brundage
Thurston Sexton
Abstract
Even as maintenance evolves with new technologies, it is still a heavily human-driven domain; multiple steps in the maintenance workflow still require human expertise and intervention. Various maintenance activities require multiple maintainers, all with different skill sets and expertise, and from various positions and levels within the organization. Responding to maintenance requests, training exercises, or executing larger maintenance projects all can require maintenance teams. Having the correct assortment of individuals both in terms of skills and management experience can help improve the efficiency of these maintenance tasks. This paper presents a workflow for creating teams of maintainers by adapting accepted practices from the human-computer interaction (HCI) community. These steps provide a low-cost solution to help account for the needs of maintainers and their management, while matching skills of the maintainers with the needs of the activity.
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Keywords
maintenance, Team Formation, Maintenance Workflow
References
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Bacon, D. R., Stewart, K. A., & Silver, W. S. (1999). Lessons from the best and worst student team experiences: How a teacher can make the difference. Journal of Management Education, 23(5), 467–488.
Bailey, R. (2002). Effectively using quantitative indices of conative ability to guide teams. Proceedings of the 2002 American Society for Engineering Education Annual Conference Exposition, 7, 1.
Baker, K. R., & Powell, S. G. (2002). Methods for assigning students to groups: A study of alternative objective functions. Journal of the Operational Research Society, 53(4), 397–404.
Balinski, M., & Laraki, R. (2011). Majority judgment: measuring, ranking, and electing. MIT press.
Baqlah, L. A. (2017). Assessing the effect of organisational culture on lean technical practices in jordanian manufacturing firms (Unpublished doctoral dissertation). Aberystwyth University.
Basharat, A. (2016). Learnersourcing thematic and intercontextual annotations from islamic texts. In Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems (pp. 92–97).
Beheshtian-Ardekani, M., & Mahmood, M. A. (1986). Education development and validation of a tool for assigning students to groups for class projects. Decision Sciences, 17(1), 92–113.
Bhasin, S., & Burcher, P. (2006). Lean viewed as a philosophy. Journal of manufacturing technology management.
Brundage, M. P., Sexton, T., Hodkiewicz, M., Morris, K. C., Arinez, J., Ameri, F., . . . Xiao, G. (2019). Where do we start? guidance for technology implementation in maintenance management for manufacturing. Journal of Manufacturing Science and Engineering, 141(9).
Chapman, K. J., Meuter, M., Toy, D., & Wright, L. (2006). Can’t we pick our own groups? the influence of group selection method on group dynamics and outcomes. Journal of Management Education, 30(4), 557–569.
Duhigg, C. (2016). What google learned from its quest to build the perfect team. The New York Times Magazine, 26, 2016.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative science quarterly, 44(2), 350–383.
Fitzpatrick, E. L., & Askin, R. G. (2005). Forming effective worker teams with multi-functional skill requirements. Computers & Industrial Engineering, 48(3), 593–608. Glassman, E. L., Lin, A., Cai, C. J., & Miller, R. C. (2016).
Learner-sourcing personalized hints. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing (pp. 1626–1636).
Glassman, E. L., & Miller, R. C. (2016). Leveraging learners for teaching programming and hardware design at scale. In Proceedings of the 19th ACM conference on computer supported cooperative work and social computing companion (pp. 37–40).
Gogoulou, A., Gouli, E., Boas, G., Liakou, E., & Grigoriadou, M. (2007). Forming homogeneous, heterogeneous and mixed groups of learners. In Proceedings of workshop on personalisation in e-learning environments at individual and group level, 11th international conference on user modeling (pp. 33–40).
Go´mez-Zara´, D., DeChurch, L. A., & Contractor, N. S. (2020). A taxonomy of team-assembly systems: Understanding how people use technologies to form teams. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1–36.
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Hu¨bscher, R. (2010). Assigning students to groups using general and context-specific criteria. IEEE transactions on learning technologies, 3(3), 178–189.
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Jalajas, D. S., & Sutton, R. I. (1984). Feuds in student groups: Coping with whiners, martyrs, saboteurs, bullies, and deadbeats. Organizational Behavior Teaching Review, 9(4), 94–102.
Janis, I. L. (1982). Groupthink: psychological studies of policy decisions and fiascoes (Vol. 349). Houghton Mifflin Boston.
Kim, J. (2015). Learnersourcing: improving learning with collective learner activity (Unpublished doctoral dissertation). Massachusetts Institute of Technology.
Lasecki, W., Miller, C., Sadilek, A., Abumoussa, A., Borrello, D., Kushalnagar, R., & Bigham, J. (2012). Real-time captioning by groups of non-experts. In Proceedings of the 25th annual ACM symposium on user interface software and technology (pp. 23–34).
Layton, R. A., Loughry, M. L., Ohland, M. W., & Ricco, G. D. (2010). Design and validation of a web-based system for assigning members to teams using instructor-specified criteria. Advances in Engineering Education, 2(1), n1.
Li, S.-W. D., & Mitros, P. (2015). Learnersourced recommendations for remediation. In Advanced learning technologies (ICALT), 2015 IEEE 15th international conference on (pp. 411–412).
Liker, J. K., & Morgan, J. M. (2006). The toyota way in services: the case of lean product development. Academy of management perspectives, 20(2), 5–20.
Pavel, A., Goldman, D. B., Hartmann, B., & Agrawala, M. (2016). Vidcrit: video-based asynchronous video review. In Proceedings of the 29th annual symposium on user interface software and technology (pp. 517–528).
Raiden, A. B., Dainty, A. R., & Neale, R. H. (2004). Current barriers and possible solutions to effective project team formation and deployment within a large construction organisation. International Journal of Project Management, 22(4), 309 - 316. Retrieved from http://www.sciencedirect .com/science/article/pii/S0263786303000905 doi: https://doi.org/10.1016/j.ijproman.2003.08.002
Robles, M. M. (2012). Executive perceptions of the top 10 soft skills needed in today’s workplace. Business Communication Quarterly, 75(4), 453–465.
Schein, E. H. (2010). Organizational culture and leadership (Vol. 2). John Wiley & Sons.
Sexton, T. B., & Brundage, M. P. (2019). Nestor: A tool for natural language annotation of short texts. J. Res. NIST, 124.
Soh, L.-K., Khandaker, N., & Jiang, H. (2006). Multiagent coalition formation for computer-supported cooperative learning. In Proceedings of the national conference on artificial intelligence (Vol. 21, p. 1844).
Sugimori, Y., Kusunoki, K., Cho, F., & UCHIKAWA, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. The International Journal of Production Research, 15(6), 553–564.
Taherimashhadi, M., & Ribas, I. (2018). A model to align the organizational culture to lean. Journal of Industrial Engineering and Management, 11(2), 207–221.
Tseng, T.-L. B., Huang, C.-C., Chu, H.-W., & Gung, R. R. (2004). Novel approach to multi-functional project team formation. International Journal of Project Management, 22(2), 147 - 159. Retrieved from http://www .sciencedirect .com/science/article/pii/S0263786303000589 doi: https://doi.org/10.1016/S0263-7863(03)00058-9
Uddin, M. J., Luva, R. H., & Hossian, S. M. M. (2013). Impact of organizational culture on employee performance and productivity: A case study of telecommunication sector in bangladesh. International Journal of Business and Management, 8(2), 63.
Wagner, T., Herrmann, C., & Thiede, S. (2017). Industry 4.0 impacts on lean production systems. Procedia CIRP, 63, 125–131.
Wang, D.-Y., Lin, S. S., & Sun, C.-T. (2007). DIANA: A computer-supported heterogeneous grouping system for teachers to conduct successful small learning groups. Computers in Human Behavior, 23(4), 1997– 2010.
Waterman, R. H., & Peters, T. J. (1982). In search of excellence: Lessons from america’s best-run companies. New York: Harper & Row.
Wechsler, D. (1950). Cognitive, conative, and nonintellective intelligence. American Psychologist, 5(3), 78.
Weir, S., Kim, J., Gajos, K. Z., & Miller, R. C. (2015). Learnersourcing subgoal labels for how-to videos. In Proceedings of the 18th ACM conference on computer supported cooperative work & social computing (pp. 405–416).
Weitz, R., & Lakshminarayanan, S. (1998). An empirical comparison of heuristic methods for creating maximally diverse groups. Journal of the Operational Research Society, 49(6), 635–646.
Williams, J. J., Kim, J., Rafferty, A., Maldonado, S., Gajos, K. Z., Lasecki, W. S., & Heffernan, N. (2016). Axis: Generating explanations at scale with learnersourcing and machine learning. In Proceedings of the third (2016) ACM conference on learning scale (pp. 379– 388).
Wooten, J. O., & Ulrich, K. T. (2017). Idea generation and the role of feedback: Evidence from field experiments with innovation tournaments. Production and Operations Management, 26(1), 80–99.
Young, H. P., & Levenglick, A. (1978). A consistent extension of condorcet’s election principle. SIAM Journal on applied Mathematics, 35(2), 285–300.
Alamri, A. A., & Bailey, B. P. (2018). Examination of the effectiveness of a criteria-based team formation tool. In Frontiers in education.
ATOM. (2018). The importance of maintenance in manufacturing. https://www.atom.com.au/single-post/2018/06/14/The-Importance-of-Maintenance-in-Manufacturing. Australian Terminal Operations Management.
Bacon, D. R., Stewart, K. A., & Silver, W. S. (1999). Lessons from the best and worst student team experiences: How a teacher can make the difference. Journal of Management Education, 23(5), 467–488.
Bailey, R. (2002). Effectively using quantitative indices of conative ability to guide teams. Proceedings of the 2002 American Society for Engineering Education Annual Conference Exposition, 7, 1.
Baker, K. R., & Powell, S. G. (2002). Methods for assigning students to groups: A study of alternative objective functions. Journal of the Operational Research Society, 53(4), 397–404.
Balinski, M., & Laraki, R. (2011). Majority judgment: measuring, ranking, and electing. MIT press.
Baqlah, L. A. (2017). Assessing the effect of organisational culture on lean technical practices in jordanian manufacturing firms (Unpublished doctoral dissertation). Aberystwyth University.
Basharat, A. (2016). Learnersourcing thematic and intercontextual annotations from islamic texts. In Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems (pp. 92–97).
Beheshtian-Ardekani, M., & Mahmood, M. A. (1986). Education development and validation of a tool for assigning students to groups for class projects. Decision Sciences, 17(1), 92–113.
Bhasin, S., & Burcher, P. (2006). Lean viewed as a philosophy. Journal of manufacturing technology management.
Brundage, M. P., Sexton, T., Hodkiewicz, M., Morris, K. C., Arinez, J., Ameri, F., . . . Xiao, G. (2019). Where do we start? guidance for technology implementation in maintenance management for manufacturing. Journal of Manufacturing Science and Engineering, 141(9).
Chapman, K. J., Meuter, M., Toy, D., & Wright, L. (2006). Can’t we pick our own groups? the influence of group selection method on group dynamics and outcomes. Journal of Management Education, 30(4), 557–569.
Duhigg, C. (2016). What google learned from its quest to build the perfect team. The New York Times Magazine, 26, 2016.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative science quarterly, 44(2), 350–383.
Fitzpatrick, E. L., & Askin, R. G. (2005). Forming effective worker teams with multi-functional skill requirements. Computers & Industrial Engineering, 48(3), 593–608. Glassman, E. L., Lin, A., Cai, C. J., & Miller, R. C. (2016).
Learner-sourcing personalized hints. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing (pp. 1626–1636).
Glassman, E. L., & Miller, R. C. (2016). Leveraging learners for teaching programming and hardware design at scale. In Proceedings of the 19th ACM conference on computer supported cooperative work and social computing companion (pp. 37–40).
Gogoulou, A., Gouli, E., Boas, G., Liakou, E., & Grigoriadou, M. (2007). Forming homogeneous, heterogeneous and mixed groups of learners. In Proceedings of workshop on personalisation in e-learning environments at individual and group level, 11th international conference on user modeling (pp. 33–40).
Go´mez-Zara´, D., DeChurch, L. A., & Contractor, N. S. (2020). A taxonomy of team-assembly systems: Understanding how people use technologies to form teams. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1–36.
Hammer, A., & Huszczo, G. (1996). Teams in MBTI applications. A decade of research on the Myers-Briggs type indicator.
Harris, A. M., Go´mez-Zara´, D., DeChurch, L. A., & Contractor, N. S. (2019). Joining together online: the trajectory of CSCW scholarship on group formation. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1–27.
Hastings, E. M., Alamri, A., Kuznetsov, A., Pisarczyk, C., Karahalios, K., Marinov, D., & Bailey, B. P. (2020). LIFT: integrating stakeholder voices into algorithmic team formation. In Proceedings of the 2020 CHI conference on human factors in computing systems (p. 1–13). New York, NY, USA: Association for Computing Machinery. Retrieved from https://doi.org/10.1145/3313831.3376797 doi: 10.1145/3313831.3376797
Hu¨bscher, R. (2010). Assigning students to groups using general and context-specific criteria. IEEE transactions on learning technologies, 3(3), 178–189.
Jahanbakhsh, F., Fu, W.-T., Karahalios, K., Marinov, D., & Bailey, B. (2017). You want me to work with who?: stakeholder perceptions of automated team formation in project-based courses. In Proceedings of the 2017 CHI conference on human factors in computing systems (pp. 3201–3212).
Jalajas, D. S., & Sutton, R. I. (1984). Feuds in student groups: Coping with whiners, martyrs, saboteurs, bullies, and deadbeats. Organizational Behavior Teaching Review, 9(4), 94–102.
Janis, I. L. (1982). Groupthink: psychological studies of policy decisions and fiascoes (Vol. 349). Houghton Mifflin Boston.
Kim, J. (2015). Learnersourcing: improving learning with collective learner activity (Unpublished doctoral dissertation). Massachusetts Institute of Technology.
Lasecki, W., Miller, C., Sadilek, A., Abumoussa, A., Borrello, D., Kushalnagar, R., & Bigham, J. (2012). Real-time captioning by groups of non-experts. In Proceedings of the 25th annual ACM symposium on user interface software and technology (pp. 23–34).
Layton, R. A., Loughry, M. L., Ohland, M. W., & Ricco, G. D. (2010). Design and validation of a web-based system for assigning members to teams using instructor-specified criteria. Advances in Engineering Education, 2(1), n1.
Li, S.-W. D., & Mitros, P. (2015). Learnersourced recommendations for remediation. In Advanced learning technologies (ICALT), 2015 IEEE 15th international conference on (pp. 411–412).
Liker, J. K., & Morgan, J. M. (2006). The toyota way in services: the case of lean product development. Academy of management perspectives, 20(2), 5–20.
Pavel, A., Goldman, D. B., Hartmann, B., & Agrawala, M. (2016). Vidcrit: video-based asynchronous video review. In Proceedings of the 29th annual symposium on user interface software and technology (pp. 517–528).
Raiden, A. B., Dainty, A. R., & Neale, R. H. (2004). Current barriers and possible solutions to effective project team formation and deployment within a large construction organisation. International Journal of Project Management, 22(4), 309 - 316. Retrieved from http://www.sciencedirect .com/science/article/pii/S0263786303000905 doi: https://doi.org/10.1016/j.ijproman.2003.08.002
Robles, M. M. (2012). Executive perceptions of the top 10 soft skills needed in today’s workplace. Business Communication Quarterly, 75(4), 453–465.
Schein, E. H. (2010). Organizational culture and leadership (Vol. 2). John Wiley & Sons.
Sexton, T. B., & Brundage, M. P. (2019). Nestor: A tool for natural language annotation of short texts. J. Res. NIST, 124.
Soh, L.-K., Khandaker, N., & Jiang, H. (2006). Multiagent coalition formation for computer-supported cooperative learning. In Proceedings of the national conference on artificial intelligence (Vol. 21, p. 1844).
Sugimori, Y., Kusunoki, K., Cho, F., & UCHIKAWA, S. (1977). Toyota production system and kanban system materialization of just-in-time and respect-for-human system. The International Journal of Production Research, 15(6), 553–564.
Taherimashhadi, M., & Ribas, I. (2018). A model to align the organizational culture to lean. Journal of Industrial Engineering and Management, 11(2), 207–221.
Tseng, T.-L. B., Huang, C.-C., Chu, H.-W., & Gung, R. R. (2004). Novel approach to multi-functional project team formation. International Journal of Project Management, 22(2), 147 - 159. Retrieved from http://www .sciencedirect .com/science/article/pii/S0263786303000589 doi: https://doi.org/10.1016/S0263-7863(03)00058-9
Uddin, M. J., Luva, R. H., & Hossian, S. M. M. (2013). Impact of organizational culture on employee performance and productivity: A case study of telecommunication sector in bangladesh. International Journal of Business and Management, 8(2), 63.
Wagner, T., Herrmann, C., & Thiede, S. (2017). Industry 4.0 impacts on lean production systems. Procedia CIRP, 63, 125–131.
Wang, D.-Y., Lin, S. S., & Sun, C.-T. (2007). DIANA: A computer-supported heterogeneous grouping system for teachers to conduct successful small learning groups. Computers in Human Behavior, 23(4), 1997– 2010.
Waterman, R. H., & Peters, T. J. (1982). In search of excellence: Lessons from america’s best-run companies. New York: Harper & Row.
Wechsler, D. (1950). Cognitive, conative, and nonintellective intelligence. American Psychologist, 5(3), 78.
Weir, S., Kim, J., Gajos, K. Z., & Miller, R. C. (2015). Learnersourcing subgoal labels for how-to videos. In Proceedings of the 18th ACM conference on computer supported cooperative work & social computing (pp. 405–416).
Weitz, R., & Lakshminarayanan, S. (1998). An empirical comparison of heuristic methods for creating maximally diverse groups. Journal of the Operational Research Society, 49(6), 635–646.
Williams, J. J., Kim, J., Rafferty, A., Maldonado, S., Gajos, K. Z., Lasecki, W. S., & Heffernan, N. (2016). Axis: Generating explanations at scale with learnersourcing and machine learning. In Proceedings of the third (2016) ACM conference on learning scale (pp. 379– 388).
Wooten, J. O., & Ulrich, K. T. (2017). Idea generation and the role of feedback: Evidence from field experiments with innovation tournaments. Production and Operations Management, 26(1), 80–99.
Young, H. P., & Levenglick, A. (1978). A consistent extension of condorcet’s election principle. SIAM Journal on applied Mathematics, 35(2), 285–300.
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