An Extended Robust Model for Project Time Analysis with Uncertain Data

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An Extended Robust Model for Project Time Analysis with Uncertain Data

Popis výsledku v původním jazyce

The critical path method (CPM) has been a foundation of time analysis in project planning for decades. Assuming deterministic input data, one is able to determine the critical activities in a project as well as the minimum time needed to accomplish all activities. It is a common fact that the duration of activities is often hardly a precise value and estimations must be done instead. There are different means of dealing with uncertainty in project time analysis, such as PERT or GERT approach based on probabilistic evaluations according to a certain probability distribution and conditional probabilities. As an outcome of these methods, one can only expect results having a probabilistic character, too. In this contribution, we take an advantage of robust approach to deal with uncertainty in the time analysis. In this context, a project can be described as a network graph and consequently modelled as an integer programming problem. There are ways to implement the aspect of robustness into mathematica

Název v anglickém jazyce

An Extended Robust Model for Project Time Analysis with Uncertain Data

Popis výsledku anglicky

The critical path method (CPM) has been a foundation of time analysis in project planning for decades. Assuming deterministic input data, one is able to determine the critical activities in a project as well as the minimum time needed to accomplish all activities. It is a common fact that the duration of activities is often hardly a precise value and estimations must be done instead. There are different means of dealing with uncertainty in project time analysis, such as PERT or GERT approach based on probabilistic evaluations according to a certain probability distribution and conditional probabilities. As an outcome of these methods, one can only expect results having a probabilistic character, too. In this contribution, we take an advantage of robust approach to deal with uncertainty in the time analysis. In this context, a project can be described as a network graph and consequently modelled as an integer programming problem. There are ways to implement the aspect of robustness into mathematica

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů