Mapping of synchronous activities through virtual management momentum simulation

Beran, Václav; Dlask, Petr; Eaton, David; Hromada, Eduard; Zindulka, Ondřej

doi:10.1108/14714171111124167

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…into a feasible economic interpretation. Source: adapted and extended from [19]. The vectors described in Table 3 mimic the definitions of a physical application.…”

Section: Methodsmentioning

confidence: 99%

“…In addition to the rate of utilization of resources is the knowledge about the potential of durations D A volatility. Graphical presentation and statistical analysis of the time series [19] allows assessing the potential dynamics of external influences (for example, the expected development of material prices, wages, labor availability, traffic intensity, machinery, and other externalities). The durations are dominant application outputs of Figure 3, listed as {D A } Sim in Figure 4.…”

Section: Simulation Of the Duration Of The Project As A Whole D Amentioning

confidence: 99%

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Time–Cost Schedules and Project–Threats Indication

et al. 2022

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One of the most common disciplines in a business or economic project is timing and resource review. Despite the frequency of use, the level of sophistication is not high enough to maintain its level of importance. Exceeding deadlines and non-compliance with contractual costs is more than common. Moreover, there are projects where uncertainties are a naturally accompanying phenomenon. Research projects, implementation of solutions in a time-limited situation, or in an environment of limited knowledge creates risk. Any project proposal faces future realization risks when its planning management does not know with certainty where the current risks and uncertainties may come from. Decision-making, risk management dynamics, and simulations have developed in recent decades into an erudite and useful discipline. The aim is to indicate how much of the time–cost schedule proposal is stable, controllable, and economically feasible. The approach is based on the idea that modern resource scheduling requires nonlinear dynamic calculating models and simulations. The methodology presented is based on the dynamics of underlying physical and economic processes that form a spatial pattern of a time series. The article’s objective is devoted to the early indication of a dynamic project schedule’s instability and predisposition to bifurcation and chaos. In other words, the aim is to show not only what will happen but how diverse and damaging the project may become in the future.

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“…into a feasible economic interpretation. Source: adapted and extended from [19]. The vectors described in Table 3 mimic the definitions of a physical application.…”

Section: Methodsmentioning

confidence: 99%

Section: Simulation Of the Duration Of The Project As A Whole D Amentioning

confidence: 99%

Time–Cost Schedules and Project–Threats Indication

et al. 2022

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“…The barrier of hardware computing capacity for large-scale tasks is gone. Even for large-scale projects, with thousands of activities and simulation calculation iteration, calculations of analysis can be implemented and interpreted [8,30,31]. The data in Table 1 allow the calculation of nominal power productivity (MWe/ construction months).…”

Section: Methodsmentioning

confidence: 99%

“…The result is the dominance of the empirical model in use, where its deterministic time and cost plans can serve as a hypothetical Trojan Horse for its users, with devastating consequences. An illustrative example deals with the time and cost schedules of investment projects relating to nuclear power plants [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Time and Cost Schedule Dynamic–Hidden Trojan Horses

et al. 2022

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Investment projects are not the only ones where significant complications in their implementation may occur. The fundamental question, how to specify threats hidden in time series, is one of the most important types of knowledge arising from the basic schedules’ documentation. Feasibility studies, project proposals, organizational and production procedures, research projects, and others are major resources of information. The reason why to specify threats hidden in time series is the high cost of not revealing hidden threats. An illustrative clarification of the cost is given on the current data of nuclear power plants. Wherever one works with schedules and resources, the above-mentioned issue may appear. Undeniably, valid data is discoverable ex post in accounting, documentation, or even in the documentation of the preparation and implementation, and in the analyzes of the mechanisms for non-compliance with deadlines and cost increases. For implementation (i.e., ex ante use), the majority of projects are created by expert intuitive decision-making. In terms of content, these are sources of errors from the past, lacking analytical quantitative support (suffering from the so-called evidence shortage). Production schedule time series comprise: (a) cumulative volume, (b) speeds, and (c) accelerations. More recent, in addition to statistical analysis, is the focus on the long-term memory of time series and to the application of the Hurst exponent as indicators of predictability (ex-ante). This article offers a procedure for how to reveal hidden chaotic states in the time series of a project’s output information. If it is possible to find chaotic behavior in the output information, these states must be searched for and removed in the original source model—the implementation project. Exceeding contractual terms and implementation costs leads to a threat to the economic basis—the collapse of the initial idea of the project’s economy. As an example, nuclear power plant projects are shown. The article broadens the perspective of ex ante decision-making.

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Analysis of CAFM software for construction companies in the Czech

Rudl

2021

IOP Conf. Ser.: Earth Environ. Sci.

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As part of property management, there is a constant increase in operating costs, whether they are new or old buildings. The amount of costs and their growth is related, among other things, to the use of space, the provision of services, the optimization of the working environment and the optimal functionality of the technological parts of the property. In the case of large properties or building complexes, it is therefore a separate branch of Facility Management. As part of the ongoing digitization in the field of construction, the development and implementation of facility management for the subsequent management of the building is also accelerating. There is currently several commercially available software that can be used as an effective tool for organizing, planning, and improving facility processes. The main goal of the work is to conduct a survey of existing and available software for facility management (CAFM) in the market environment of the Czech Republic and compare its functions, working environment in relation to the possibility of use in the construction company environment.

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Mapping of synchronous activities through virtual management momentum simulation

Cited by 4 publications

References 12 publications

Time–Cost Schedules and Project–Threats Indication

Time–Cost Schedules and Project–Threats Indication

Time and Cost Schedule Dynamic–Hidden Trojan Horses

Analysis of CAFM software for construction companies in the Czech

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