Configuration of Employee Competences in IT Projects

  • Jarosław Wikarek
  • Paweł SitekEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12034)


IT projects are characterized by high complexity, implementation of the latest technological solutions and specialized competence of contractors and high costs. The key element in IT project management is to have employees with appropriate substantive competencies (programmers, designers, analysts, etc.). Before starting an IT project, the IT project manager must answer the following questions: Do I have the right set of team competences to start the project? If the team lacks competence, then in what area and to what extent? The article proposes a model of employee competence configuration and a procedure for their verification in the context of IT project management. Also presented is the method of model implementation and numerous computational examples verifying its usefulness and effectiveness of implementation.


Project management Employee competences Mathematical programming Constraint Logic Programming Optimization 


  1. 1.
    Hughes, B., Ireland, R., West, B., Smith, N., Shepherd, D.I.: Project Management for IT-Related Projects, 2nd edn. BCS, The Chartered Institute for IT (2012). Hughes, B. (editor)Google Scholar
  2. 2.
    Kuster, J., et al.: Project Management Handbook. MP. Springer, Heidelberg (2015). Scholar
  3. 3.
    Rossi, F., Van Beek, P., Walsh, T.: Handbook of Constraint Programming. Foundations of Artificial Intelligence. Elsevier Science Inc., New York (2006)zbMATHGoogle Scholar
  4. 4.
    Apt, K.: Principles of Constraint Programming. Cambridge University Press, Cambridge (2003)CrossRefGoogle Scholar
  5. 5.
    Punmia, B.C., Khandelwal, K.K.: Project Planning and Control with PERT & CPM. Firewall Media, New Delhi (2002)Google Scholar
  6. 6.
    Averous, J., Linares, T.: Advanced Scheduling Handbook for Project Managers. Fourth Revolution, Singapore (2015)Google Scholar
  7. 7.
    Gurobi. Accessed 10 Oct 2019
  8. 8.
    Schrijver, A.: Theory of Linear and Integer Programming. Wiley, New York (1998). ISBN 0-471-98232-6zbMATHGoogle Scholar
  9. 9.
    Sitek, P., Wikarek, J.: Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach. Ann. Oper. Res. 273, 257–277 (2019). Scholar
  10. 10.
    Sitek, P., Wikarek, J., Nielsen, P.: A constraint-driven approach to food supply chain management. Ind. Manage. Data Syst. 117, 2115–2138 (2017). Scholar
  11. 11.
    Eclipse - The Eclipse Foundation open source community website. Accessed 19 Oct 2019
  12. 12.
    Sitek, P., Wikarek, J.: A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution. Appl. Intell. 48, 1344–1367 (2018). Scholar
  13. 13.
    Szwarc, E., Bocewicz, G., Banaszak, Z., Wikarek, J.: Competence allocation planning robust to unexpected staff absenteeism. Eksploatacja i Niezawodnosc – Maint. Reliab. 21, 440–450 (2019). Scholar
  14. 14.
    Szwarc, E., Bocewicz, G., Bach-Dąbrowska, I., Banaszak, Z.: Declarative model of competences assessment robust to personnel absence. In: Damaševičius, R., Vasiljevienė, G. (eds.) ICIST 2019. CCIS, vol. 1078, pp. 12–23. Springer, Cham (2019). Scholar
  15. 15.
    Relich, M.: Identifying project alternatives with the use of constraint programming. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds.) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I. AISC, vol. 521, pp. 3–13. Springer, Cham (2017). Scholar
  16. 16.
    Gola, A.: Reliability analysis of reconfigurable manufacturing system structures using computer simulation methods. Eksploatacja I Niezawodnosc – Maint. Reliab. 21(1), 90–102 (2019). Scholar
  17. 17.
    Janardhanan, M.N., Li, Z., Bocewicz, G., Banaszak, Z., Nielsen, P.: Metaheuristic algorithms for balancing robotic assembly lines with sequence-dependent robot setup times. Appl. Math. Model. 65, 256–270 (2019)MathSciNetCrossRefGoogle Scholar
  18. 18.
    Dang, Q.V., Nielsen, I., Yun, W.Y.: Replenishment policies for empty containers in an inland multi-depot system. J. Marit. Econ. Logist. 15, 120–149 (2013). ISSN 1479-2931CrossRefGoogle Scholar
  19. 19.
    Grzybowska, K., Kovács, G.: Developing agile supply chains – system model, algorithms, applications. In: Jezic, G., Kusek, M., Nguyen, N.-T., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2012. LNCS (LNAI), vol. 7327, pp. 576–585. Springer, Heidelberg (2012). Scholar
  20. 20.
    Wirasinghe, S.C.: Modeling and optimization of transportation systems. J. Adv. Transp. 45, 231–347 (2011)CrossRefGoogle Scholar
  21. 21.
    Lasota, T., Telec, Z., Trawiński, B., Trawiński, K.: A multi-agent system to assist with real estate appraisals using bagging ensembles. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 813–824. Springer, Heidelberg (2009). Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Kielce University of TechnologyKielcePoland

Personalised recommendations