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Open AccessArticle

An Algorithm for Modelling the Impact of the Judicial Conflict-Resolution Process on Construction Investment

Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
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These authors contributed equally to this work.
Sustainability 2018, 10(1), 182; https://doi.org/10.3390/su10010182
Received: 27 November 2017 / Revised: 5 January 2018 / Accepted: 9 January 2018 / Published: 12 January 2018
(This article belongs to the Special Issue Sustainability in Construction Engineering)
In this article, the modelling of the judicial conflict-resolution process is considered from a construction investor’s point of view. Such modelling is important for improving the risk management for construction investors and supporting sustainable city development by supporting the development of rules regulating the construction process. Thus, this raises the problem of evaluation of different decisions and selection of the optimal one followed by distribution extraction. First, the example of such a process is analysed and schematically represented. Then, it is formalised as a graph, which is described in the form of a decision graph with cycles. We use some natural problem properties and provide the algorithm to convert this graph into a tree. Then, we propose the algorithm to evaluate profits for different scenarios with estimation of time, which is done by integration of an average daily costs function. Afterwards, the optimisation problem is solved and the optimal investor strategy is obtained—this allows one to extract the construction project profit distribution, which can be used for further analysis by standard risk (and other important information)-evaluation techniques. The overall algorithm complexity is analysed, the computational experiment is performed and conclusions are formulated. View Full-Text
Keywords: construction investment; algorithms on graphs; decision graphs; greedy algorithm; dynamic programming; judicial conflict resolution; sustainable city development; stakeholder theory construction investment; algorithms on graphs; decision graphs; greedy algorithm; dynamic programming; judicial conflict resolution; sustainable city development; stakeholder theory
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Bugajev, A.; Šostak, O.R. An Algorithm for Modelling the Impact of the Judicial Conflict-Resolution Process on Construction Investment. Sustainability 2018, 10, 182.

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