A competency-driven staff assignment approach to improving employee scheduling robustness

• Autorzy: Bocewicz Grzegorz , Szwarc Eryk , Wikarek Jaroslaw , Nielsen Peter , Banaszak Zbigniew

Identyfikatory

DOI

10.17531/ein.2021.1.13

• Języki publikacji: EN

Abstrakty

EN

Presented paper concerns the competency-driven staff assignment and scheduling approach to the management of project portfolios subject to perturbations caused by employee absences and/or unexpected arrival of high priority jobs. Proactive strategy is considered, which exploits the concept of employee substitutability to improve the robustness of personnel allocation in the case of occurrence of specific types of disruptions. Solutions obtained using the model of a constraint satisfaction problem developed in this study are validated in series quantitative and qualitative experiments. With a view to future implementation in a Decision Support Systems dedicated to prototyping of proactive personnel allocation, a methodology employing the concept of a competency framework-based robustness measure is proposed. Implemented in a declarative framework, the proposed approach allows one to find a redundant competency framework robust to a given set of disruptions.

Słowa kluczowe

EN

competency assignment; competency framework; personnel scheduling; robustness measures

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2021
• Tom: Vol. 23, no. 1
• Strony: 117--131
• Opis fizyczny: Bibliogr. 45 poz., rys., tab.

Twórcy

autor

Bocewicz Grzegorz

• Faculty of Electronics and Computer Science, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland

autor

Szwarc Eryk

• Faculty of Electronics and Computer Science, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland

autor

Wikarek Jaroslaw

• Department of Information Systems, Kielce University of Technology, Al. 1000-lecia Państwa Polskiego, 25-314 Kielce, Poland

autor

Nielsen Peter

• Department of Materials and Production, Aalborg University, Fibigerstræde 16, 9220 Aalborg, Denmark

autor

Banaszak Zbigniew

• Faculty of Electronics and Computer Science, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland

Bibliografia

• 1. Akyol S.D, Baykasoğlu A. ErgoALWABP: a multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem under ergonomic risk factors. J Intell Manuf 2019; 30: 291-302, https://doi.org/10.1007/s10845-016-1246-6.
• 2. Antosz K. Maintenance - identification and analysis of the competency gap. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20(3): 484-494, https://doi.org/10.17531/ein.2018.3.19.
• 3. Asensio-Cuesta S, Diego-Mas JA, Canos-Daros L, Andres-Romano C. A genetic algorithm for the design of job rotation schedules considering ergonomic and Competence criteria. International Journal of Advanced Manufacturing Technology 2012; 60: 1161-1174, https://doi.org/10.1007/s00170-011-3672-0.
• 4. Baladeh AE, Zio E. A Two-Stage Stochastic Programming Model of Component Test Plan and Redundancy Allocation for System Reliability Optimization. IEEE Transactions on Reliability 2020, https://doi.org/10.1109/TR.2020.2974284.
• 5. Banaszak Z, Bocewicz G. Declarative Modeling for Production Order Portfolio Scheduling. Foundations of Management 2014; 6(3): 7-24, https://doi.org/10.1515/fman-2015-0014.
• 6. Bänziger T, Kunz A, Wegener K. Optimizing human-robot task allocation using a simulation tool based on standardized work descriptions. J Intell Manuf 2020, https://doi.org/10.1007/s10845-018-1411-1.
• 7. Brucker P, Qu R, Burke E. Personnel Scheduling: Models and Complexity. European Journal of Operational Research 2011; 210(3): 467-473, https://doi.org/10.1016/j.ejor.2010.11.017.
• 8. Chan P, Weil G. Cyclical Staff Scheduling Using Constraint Logic Programming, in: Practice and Theory of Automated Timetabling III, Springer Berlin Heidelberg, Lecture Notes in Computer Science 2011; 2079: 159-175, https://doi.org/10.1007/3-540-44629-X_10.
• 9. Dugelova M, Strenitzerova M. How to select appropriate human resource controlling indicators. CBU International Conference On Innovation, Technology Transfer And Education, Prague, Czech Republic 2015, https://doi.org/10.12955/cbup.v3.585.
• 10. Dück V, Ionescu L, Kliewer N, Suhl L. Increasing stability of crew and aircraft schedules. Transportation Research Part C: Emerging Technologies 2012; 20(1): 47-61, https://doi.org/10.1016/j.trc.2011.02.009.
• 11. Ehrgott M, Ryan DM. Constructing robust crew schedules with bi-criteria optimization. Journal of Multi-Criteria Decision Analysis 2002; 11(3): 139-150, https://doi.org/10.1002/mcda.321.
• 12. Felberbauer T, Gutjahr WJ, Doerner KF. Stochastic project management: multiple projects with multi-skilled human resources. Journal of Scheduling 2019; 22: 271-288, https://doi.org/10.1007/s10951-018-0592-y.
• 13. Guo S, Wang X, Fu L, Liu Y. How Individual's proactive behavior helps construction sustainability: exploring the effects of project citizenship behavior on project performance. Sustainability 2019; 11(24): 6922, https://doi.org/10.3390/su11246922.
• 14. Hazir O, Haouari M, Erel E. Robust scheduling and robustness measures for the discrete time/cost trade-off problem. European Journal of Operational Research 2010; 207(2): 633-643, https://doi.org/10.1016/j.ejor.2010.05.046.
• 15. Ingels J, Maenhout B. Optimised buffer allocation to construct stable personnel shift rosters. Omega 2019; 82: 102-117, https://doi.org/10.1016/j.omega.2017.12.006.
• 16. Ingels J, Maenhout B. Employee substitutability as a tool to improve the robustness in personnel scheduling. OR Spectrum 2017, https://doi.org/10.1007/s00291-017-0476-0.
• 17. Ingels J, Maenhout B. The impact of reserve duties on the robustness of a personnel shift roster: an empirical investigation. Computers & Operations Research 2015; 61: 153-169, https://doi.org/10.1016/j.cor.2015.03.010.
• 18. Jafari H, Haleh H. Nurse scheduling problem by considering fuzzy modeling approach to treat uncertainty on nurses' preferences for working shifts and weekends off. Journal of Optimization in Industrial Engineering 2019, https://doi.org/10.22094/joie.2019.576759.159.
• 19. Jaśkowski P. Methodology for enhancing reliability of predictive project schedules in construction. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17 (3): 470-479, https://doi.org/10.17531/ein.2015.3.20.
• 20. Kafiabad ST, Zanjani MK, Nourelfath M. Integrated planning of operations and on-job training in maintenance logistics networks. Reliability Engineering and System Safety 2020; 199, https://doi.org/10.1016/j.ress.2020.106922.
• 21. Klimek M, Łebkowski P. Robustness of schedules for project scheduling problem with cash flow optimisation. Bulletin of the Polish Academy of Sciences. Technical Sciences 2013; 61(4): 1005-1015, https://doi.org/10.2478/bpasts-2013-0108.
• 22. Korytkowski P. Competencies-based performance model of multi-skilled workers with learning and forgetting. Expert Systems With Applications 2017; 77: 226-235, https://doi.org/10.1016/j.eswa.2017.02.004.
• 23. Lecuona JR, Reitzig M. Knowledge worth having in 'excess': The value of tacit and firm-specific human resource slack. Strategic Management Journal 2014; 35(7): 954-973, https://doi.org/10.1002/smj.2143.
• 24. Lim K, Zheng P, Chen Ch-H. A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspective. Journal of Intelligent Manufacturing 2020; 31: 1313-1337, https://doi.org/10.1007/s10845-019-01512-w.
• 25. Liu Y, Huang HZ, Wang Z, Li YF, Zhang XL. Joint optimization of redundancy and maintenance staff allocation for multi-state seriesparallel systems. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2012; 14 (4): 312-318.
• 26. Liu Y, Huang HZ, Wang Z, Li Y, Yang Y. A Joint Redundancy and Imperfect Maintenance Strategy Optimization for Multi-State Systems. IEEE Transactions on Reliability 2013; 62(2): 368-378, https://doi.org/10.1109/TR.2013.2259193.
• 27. Moudani W, Mora-Camino F. Solving crew reserve in airlines using dynamic programming approach. International Journal of Optimization: Theory, Methods and Applications 2010; 2(4): 302-329.
• 28. Nielsen I, Wójcik R, Bocewicz G, Banaszak Z. Towards constraint programming driven methodology for online multi-project planning and control. Information Systems Architecture and Technology, Wroclaw: Wroclaw University of Technology 2014: 65-74.
• 29. Niknafs A, Denzinger J, Ruhe G. A Systematic Literature Review of the Personnel Assignment Problem. Proc. of the International Multi-Conference of Engineers and Computer Scientists 2013 Vol II, MECS 2013, Hong Kong, 1121-1128, ISSN: 2078-0966.
• 30. Patalas-Maliszewska J. Assessing the impact of ERP implementation in the small enterprises. Foundations of Management 2012; 4(2): 51-62, https://doi.org/10.2478/fman-2013-0010.
• 31. Pawar US, Hanchate DB. Literature review on personnel scheduling. International Journal of Computer Engineering & Technology 2013; 4(5), 312-324.
• 32. Pinedo ML. Planning and Scheduling in Manufacturing and Services. In: Springer Series in Operations Research, Eds.: Peter W. Glynn Stephen M. Robinson, Springer Science Business Media, Inc., New York, 2005, ISBN 0-387-22198-0.
• 33. Roblek M, Majec M, Benjamin U. Knowledge-based assignment model for allocation of employees in engineering-to-order production In: Knowledge Management Strategies and Applications, Muhammad Mohiuddin, Norrin Halilem, SM Ahasanul Kobir and Cao Yuliang, IntechOpen, 2017, https://doi.org/10.5772/intechopen.70073.
• 34. Rocha M, Oliveira F, Carravilla M. Cyclic staff scheduling: optimization models for some real-life problems, Journal of scheduling 2013; 16(2): 231-242, https://doi.org/10.1007/s10951-012-0299-4.
• 35. Rosenberger J, Schaefer A, Goldsman D, Johnson E, Kleywegt A, Nemhauser G. A stochastic model of airline operations. Transportation Science 2002; 36(4): 357-377, https://doi.org/10.1287/trsc.36.4.357.551.
• 36. Samson S, Reneke J A, Wiecek MM. A review of different perspectives on uncertainty and risk and alternative modelling paradigm. Reliability Engineering and System Safety 2009; 94(2): 558-567, https://doi.org/10.1016/j.ress.2008.06.004.
• 37. Supian S, Wahyuni S, Subiyanto J. Optimization of Personnel Assignment Problem Based on Traveling Time by Using Hungarian Methods: Case Study on the Central Post Office Bandung. 4th International Conference on Operational Research, IOP Conf. Series: Materials Science and Engineering 300 (2017), https://doi.org/10.1088/1757-899X/300/1/012005.
• 38. Szwarc E, Bocewicz G, Banaszak Z, Wikarek J. Competence allocation planning robust to unexpected staff absenteeism. Eksploatacja i Niezawdonosc - Maintenance and Reliability 2019; 21(3): 440-450, https://doi.org/10.17531/ein.2019.3.10.
• 39. Szwarc E, Bocewicz G, Bach-Dąbrowska I. Planning of teacher staff competence structure robust to unexpected personnel absence. IFACPaperOnLine 2019; 52 (13): 2740-2745, https://doi.org/10.1016/j.ifacol.2019.11.622.
• 40. Topaloglu S, Selim H. Nurse scheduling using fuzzy modelling approach. Fuzzy Sets and Systems 2010; 161(11): 1543-1563, https://doi.org/10.1016/j.fss.2009.10.003.
• 41. Yun-Chia L, Smith AE. An ant colony optimization algorithm for the redundancy allocation problem (RAP). IEEE Transactions on Reliability 2004; 53(3): 417-423, https://doi.org/10.1109/TR.2004.832816.
• 42. Van den Bergh J, Beliën J, De Bruecker P, Demeulemeester E, Boeck L. Personnel scheduling: a literature review. European Journal of Operational Research 2013; 226: 367-385, https://doi.org/10.1016/j.ejor.2012.11.029.
• 43. Volk R. Proactive-reactive, robust scheduling and capacity planning of deconstruction projects under uncertainty. Ph.D. Dissertation, Karlsruher Institut für Technologie, Fakultät für Wirtschaftswissenschaften, KIT Scientific Publishing, Karlsruhe, 2017.
• 44. Wikarek J, Sitek P. A Data-Driven Approach to modelling and Solving Academic Teachers' Competencies Configuration Problem. Intelligent Information and Database Systems 2019, https://doi.org/10.1007/978-3-030-14799-0_35.
• 45. Woodruffe C. What is meant by competency? In: Boam R., Sparrow P. (Eds.), Designing and achieving competency. New York, 1992.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).