A Data Envelopment Analysis Method for Finding Robust and Cost-Efficient Schedules in Multimode Projects

Date

2020-05-01

Author

Schmidt, Klaus Verner

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The execution of industrial projects is subject to uncertainties that cause deviations from the designated project schedules. Therefore, it is desired to generate robust schedules in the sense of being insensitive to project disruptions, such as deviations in activity durations. Beyond that, efficient schedules that offer high robustness at a low cost are preferred. This paper focuses on the discrete time-cost tradeoff problem and develops a new method for identifying and ranking efficient schedules. First, a large schedule pool with robust schedules is generated. Efficient schedules are then identified and ranked by applying data envelopment analysis (DEA) with a particular super-efficiency model. An extensive evaluation based on a project testbed and an example construction project shows that the proposed method finds and ranks efficient schedules, that can be suitably presented to a project manager for decision support.

URI

https://ieeexplore.ieee.org/document/8611174
https://hdl.handle.net/11511/73518

Journal

IEEE Transactions On Engineering Management

DOI

https://doi.org/10.1109/TEM.2018.2888817

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

K. V. Schmidt, “A Data Envelopment Analysis Method for Finding Robust and Cost-Efficient Schedules in Multimode Projects,” IEEE Transactions On Engineering Management, pp. 414–429, 2020, Accessed: 00, 2021. [Online]. Available: https://ieeexplore.ieee.org/document/8611174.