Project Scheduling Under Consideration of Team-Based Dependencies Between Project Activities

• Autorzy: Kornelia Pikiewicz , Dorota Kuchta
• Języki publikacji: EN

Abstrakty

EN

Purpose: The purpose of the paper is to propose two models incorporating the information about project activities that share the same human resources in order to achieve a more realistic estimation of project duration. Uncertainties about the duration of activities are also taken into account.

Design/methodology/approach: The objective is achieved through fuzzy modelling and linear programming, as well as through modelling of team dependencies between activities.

Findings: It was shown that the fact of sharing the same human resources by project activities may strongly influence project duration estimation and it is not advisable to ignore such information in project planning. It was also proposed how to model such dependencies and consequently arrive at more accurate project duration estimations. Simultaneously, modelling of project uncertainties and their practical importance have also been shown.

Research limitations/implications: This work contributes to unexplored subject of considering dependencies and uncertainty simultaneously in project scheduling. It contributes to the research on how to include team dependencies between project tasks and uncertainty in project scheduling to provide reliable information on project duration. However, many more dependencies between tasks should be considered and other methods of uncertainty modelling taken into account. Real world cases of terminated projects should be used as case studies.

Practical implications: The proposed models will significantly increase the accuracy of project duration estimation in all types of organisations, which in turn will help to save time and money lost as a result of project delays.

Originality/value: The paper is addressed to both researches and practitioners who deal with the problem of project scheduling. It proposes a novel method of increasing the accuracy of project duration estimation that takes into account team-based dependencies between project activities along with uncertainty.(original abstract)

Słowa kluczowe

EN

Project planning; Human resources; Time management

PL

Planowanie projektu; Zasoby ludzkie; Zarządzanie czasem

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 188 Współczesne zarządzanie = Contemporary management
• Strony: 555--570

Twórcy

autor

Kornelia Pikiewicz

• Wrocław University of Science and Technology

autor

Dorota Kuchta

• Wrocław University of Science and Technology, Poland

Bibliografia

• 1. Bonnal, P., Gourc, D., Lacoste, G. (2004). Where Do We Stand with Fuzzy Project Scheduling? Journal of Construction Engineering and Management, 130(1), 114-123. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(114)
• 2. Chanas, S., Zieliński, P. (2001). Critical path analysis in the network with fuzzy activity times. Fuzzy Sets and Systems, 122(2), 195-204. https://doi.org/10.1016/S0165- 0114(00)00076-2
• 3. Demeulemeester, E., Herroelen, W. (2002). Project Scheduling: A Research Handbook. Kluwer Academic Publishers.
• 4. Hullet, D. (2009). Practical Schedule Risk Analysis. Gower Publishing Limited.
• 5. Klaus-Rosińska, A. (2019). Sukces projektów badawczych i badawczo-rozwojowych w sektorze nauki. Oficyna Wydawnicza Politechniki Wrocławskiej.
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• 7. Perminova, O., Gustafsson, M., Wikström, K. (2008). Defining uncertainty in projects - a new perspective. International Journal of Project Management, 26(1), 73-79. https://doi.org/10.1016/j.ijproman.2007.08.005
• 8. Pikiewicz, K. (2023) Determining the duration of projects with uncertain activity durations under consideration of dependencies between activities durations (Master's Thesis). Wrocław University of Science and Technology, Faculty of Management.
• 9. Salkeld, D. (2016). Project Risk Analysis: Techniques for Forecasting Funding Requirements, Costs and Timescales. Routledge.
• 10. Swanson, L.A. (1973). Linear programming: an approach to critical path management. Project Management Quarterly, 4(1), 14-21.
• 11. Toet, A., Brouwer, A.-M., van den Bosch, K., Korteling, J.E. (2016). Effects of personal characteristics on susceptibility to decision bias: a literature study. International Journal of Humanities and Social Sciences, 8(5), 1-17.
• 12. Winston, W. (1991). Operations Research Applications and Algorithms. PWS-Kent Publishing Company.
• 13. Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

Identyfikatory

DOI

10.29119/1641-3466.2023.188.33