Abstract
To ensure proper functioning of an organization (e.g. production system) in settings in which there exists a risk of disruptions caused by unexpected employee absenteeism and/or a changing demand for employees with specific qualifications, one must move away from traditional approaches oriented towards the determination of procedures for generating workable baseline schedules that minimize the project makespan in a deterministic environment. The planner must take into account time uncertainties caused by an unexpected deviation of activity durations and resource availability uncertainties related to the fact that execution of tasks in a project depends on the availability of resources. The aim of this study was to develop a method “determining” a competence structure of employees, allowing for realizing proactive planning robust to unexpected staff absenteeism. To this end, we proposed a procedure for designing a competence framework that returns competence structures robust to disruptions caused by employee absenteeism. The procedure, derived from a declarative model, can be used to determine structures that allow to substitute redundant competences, thus ensuring robustness of the generated schedules to the types of absenteeism that are known a priori. The possibilities of practical application of the presented approach are illustrated with examples.
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References
Abernathy, W., Baloff, N., Hershey, J.: A three-stage man power planning and scheduling model - a service sector example. Oper. Res. 21, 693–711 (1973)
Antosz, K.: Maintenance – identification and analysis of the competency gap. Eksploatacja i Niezawodnosc – Maintenance Reliab. 20(3), 484–494 (2018)
Banaszak, Z., Bocewicz, G.: Declarative modeling for production order portfolio scheduling. Found. Manage. 6(3), 7–24 (2014)
Bombiak, E.: Human resources risk as an aspect of human resources management in turbulent environments. In: Pînzaru, F., Zbuchea, A., Brătianu, C., Vătămănescu, E.M., Mitan, A. (eds.) Shift! Major Challenges of Today’s Economy, pp. 121–132. Tritonic Publishing House, Bucharest (2017)
Chaari, T., Chaabane, S., Aissani, N., Trentesaux, D.: Scheduling under uncertainty: survey and research directions. In: 2014 International Conference on Advanced Logistics and Transport (ICALT), Hammamet, pp. 229–234 (2014). https://doi.org/10.1109/icadlt.2014.6866316
Hadi, M., Shadrokh, S.: A robust scheduling for the multi-mode project scheduling problem with a given deadline under uncertainty of activity duration. Int. J. Prod. Res. 57(10), 3138–3167 (2019). https://doi.org/10.1080/00207543.2018.1552371
Hazir, O., Haouari, M., Erel, E.: Robust scheduling and robustness measures for the discrete time/cost trade-off problem. Eur. J. Oper. Res. 207(1), 633–643 (2010)
Herroelen, W., Leus, R.: Project scheduling under uncertainty: survey and research potentials. Eur. J. Oper. Res. 165, 289–306 (2005). https://doi.org/10.1016/j.ejor.2004.04.002
Klimek, M., Łebkowski, P.: Robustness of schedules for project scheduling problem with cash flow optimisation. Bull. Pol. Acad. Sci. Tech. Sci. 61(4), 1005–1015 (2013). https://doi.org/10.2478/bpasts-2013-0108
Klimek, M., Łebkowski, P.: Robust Buffer allocation for scheduling of a project with predefined milestones. Decis. Making Manuf. Serv. 3(1–2), 49–72 (2009). https://doi.org/10.7494/dmms.2009.3.2.49
Korytkowski, P.: Competences-based performance model of multi-skilled workers with learning and forgetting. Expert Syst. Appl. 77, 226–235 (2017)
Potthoff, D., Huisman, D., Desaulniers, G.: Column generation with dynamic duty selection for railway crew rescheduling. Transp. Sci. 44(4), 493–505 (2010)
Wikarek, J.: Implementation aspects of hybrid solution framework. In: Recent Advances in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol. 267, pp. 317–328 (2014). https://doi.org/10.1007/978-3-319-05353-0_31
Stijn, V.V.: Proactive-reactive procedures for robust project scheduling. Ph.D. theses, no. 247, Faculteit Economische En Toegepaste, Economische Wetenschappen, Katholieke Universiteit Leuven (2006)
Szwarc, E., Bocewicz, G., Bach-Dąbrowska, I.: Planning a teacher staff competence structure robust to unexpected personnel absence. In: Manufacturing Modelling, Management and Control (MIM), Berlin (2019, in print)
Szwarc, E., Bach-Dąbrowska, I., Bocewicz, G.: Competence management in teacher assignment planning. In: Damaševičius, R., Vasiljevienė, G. (eds.) Information and Software Technologies, ICIST 2018. CCIS, vol. 920, pp. 449–460 (2018)
Tam, B., Ehrgott, M., Ryan, D.M., Zakeri, G.: A comparison of stochastic programming and bi-objective optimisation approaches to robust airline crew scheduling. OR Spectrum 33(1), 49–75 (2011)
Topaloglu, S., Selim, H.: Nurse scheduling using fuzzy modelling approach. Fuzzy Sets Syst. 161(11), 1543–1563 (2010). https://doi.org/10.1016/j.fss.2009.10.003
Van den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E., De Boeck, L.: Personnel scheduling: a literature review. Eur. J. Oper. Res. 226, 367–385 (2013)
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Bocewicz, G., Wikarek, J., Sitek, P., Banaszak, Z. (2020). Robust Competence Allocation for Multi-project Scheduling. In: Świątek, J., Borzemski, L., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1051. Springer, Cham. https://doi.org/10.1007/978-3-030-30604-5_2
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