Ablaufplanung mit Petrinetzen

Sackmann, Dirk

doi:10.1007/978-3-322-81523-1

Cited by 4 publications

(5 citation statements)

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“…Comment from the view of construction management: This approach is also widely used in construction management. In particular, where all the local information is given, it is clear that complexity is only the emergent behaviour of the total system controlled by nothing else (Zimmermann and Eber 2012). However, the completeness of the primary description of the system is essential to this understanding since complexity implies the characteristic of irreducibility, i.e.…”

Section: Virtual Intelligent Behaviour: Object-oriented Formulationmentioning

confidence: 99%

Potentials of artificial intelligence in construction management

Eber

2020

Organization, Technology and Management in Construction: An International Journal

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Artificial intelligence (AI) approaches have been developed since the upcoming of Information Technologies beginning in the 1950s. With rising computing power, the discussion of AI usefulness has been refuelled by new powerful algorithms and, in particular, the availability of the internet as a vast resource of unstructured data.This gives hope to construction management in particular, since construction projects are recently becoming larger and more complex, i.e. encompassing more and more participants focusing on diverging interests while the given frames of time and budget are getting tighter. Finally, construction management is used to establish an efficient organisation of all these issues and able to predict the result with a high degree of precision and certainty.This could be accomplished by the human mind when projects were smaller, but with the recent development human mind is clearly pushed to its limits. On this background, the possible support of AI to organisational tasks needs to be investigated on a theoretical level prior to developing tools. This paper is the extended version of the article ‘Artificial Intelligence in Construction Management – a Perspective’, presented at the Creative Construction Conference 2019 where the algorithmic and entropic scope of AI is investigated in the context of construction management. However, efficient organisation is about restructuring systems into a set of well-separated subsystems, where human intelligence is required to bring in mainly two higher principles which AI fails to provide: the ability to prioritise and creativity allowing for new approaches not derived from given data.This paper additionally focuses on the aspect of in-situ coordination. This service is an aspect of organisation which is not separable and can therefore only be treated as self-determined subsystem, located outside of hierarchical control. At this point algorithms of AI need to be investigated not so much as to substitute human mind but to provide significant support.

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Section: Virtual Intelligent Behaviour: Object-oriented Formulationmentioning

confidence: 99%

Potentials of artificial intelligence in construction management

Eber

2020

Organization, Technology and Management in Construction: An International Journal

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“…Following the principle of a graph-theoretical network plan can be safely assumed that the graph is loop-less and holds exactly one source and one sink node [17,4,18,2]. Thus, a strictly causal sequence can be determined and formulated as a graph-theoretical rank [16]. Furthermore, in accordance to the definition of activities, linear production as well as linear consumption of temporal and consumable resources is given [5].…”

Section: Complex Network Situationmentioning

confidence: 99%

“…On this basis, sensibly, all processes are equipped with appropriate control-loops making sure that possible deviations remain within a given corridor. Nevertheless, even with very tight controlling deviations will occur but remain limited [15,16].…”

Section: Complex Network Situationmentioning

confidence: 99%

“…A well-known side-effect of the standardisation of processes is the new focus on the concatenation parameters, drifting away from the actual content of the processes as is intended. However, as a consequence, the production processes, in particular including the respective controlling structures, are expected to fulfil their task perfectly well [16].…”

Section: Introductionmentioning

confidence: 99%

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Explicit Evaluation of Complexity in Construction and Real Estate Management

Eber¹

2020

Proceedings of the Creative Construction E-Conference 2020

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Complexity has become a major keyword when it comes to organization issues in Construction and Real Estate Management. Expressed via many different theoretical definitions, complexity in terms of management represents the part of organization which is simply not manageable. Therefore, reduction of complexity by separating a system into independent well-defined and well-controlled subsystems becomes a major task. However, since construction and real estate projects are becoming larger, encompassing higher volumes as well as higher numbers of participants and are nonetheless subjected to strongly limited time-frames and budgets on tight markets, efficient organization developed into the crucial issue to stand a competition successfully. On this background, engineering naturally focuses on saving costly resources, where the explicit value of a single measure can easily be derived from the cost of the resource and the duration of the therewith reduced time floats. This leads to well-known concepts, e.g. just-in-time-delivery, where a system is optimized with respect to physical resources as well as virtual resources like storage space or reserve time. However, as this strategy clearly saves explicit local resources, concurrently the coupling of processes via the required availability of physical and virtual resources, ranging from pre-products to decisions, plans and responsibilities, is strongly increased and, thus, complexity is reintroduced to a significant degree. This paper proposes an approach on the basis of Systems Theory providing an explicit measure to evaluate the increase of complexity in relation to possibly saved resources. Since cost of complexity are not given a priori but result from possible deviations, this article investigates the propagation of virtual uncertainties of real and abstract pre-products through a network of given complexity. On this basis, some general rules are derived allowing to maintain the balance between saving resources and the therewith increasing cost of the consequently rising complexity.

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“…This approach is also widely used in Construction Management. In particular, where all the local information is given, clearly complexity is only the emergent behaviour of the total system controlled by nothing else [28]. However, completeness of the primary description of the system is essential to this understanding since complexity implies the characteristic of irreducibility, i.e.…”

Section: Comment From the View Of Construction Managementmentioning

confidence: 99%

Artificial Intelligence in Construction Management – a Perspective

Eber¹

2019

Proceedings of the Creative Construction Conference 2019

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Efficient organization of construction services seems to be a complex task, limited by the capabilities of human intelligence. During the seventies based on e.g. the development of fuzzy technologies by Zadeh, the rise of expert systems gave new hope to innovative approaches to solving complex situations in project management. As history teaches, since then no real advance could be observed regarding this concept. Nowadays construction and real estate projects have become larger, thus more complex and risky, time schedules have become tighter as have the available budgets. With this the need of support of the organizational challenge has increased significantly. In this context and supported by the presently available computing power as well as on the basis of a presumably complete model of the building including the construction process with an Building Information Model (BIM), the idea of support by Artificial Intelligence has gained importance again and new hopes as well as fears have come to life. Prior to explicit attempts to construct tools for construction management, an investigation of the principal needs of organizational support as well as the possibilities provided by Artificial Intelligence is required in order to prepare the ground for future development.In this paper the principle understanding of complexity based on locality developing into emergent behaviour of the organization of construction projects is presented and mirrored to the expectance towards artificial intelligence operating on a Building Information Model (BIM). This investigation makes use of the theory of systems to model the behaviour of complex systems as well as of commonly used approaches offered by artificial intelligence concepts, e.g. neuronal networks, machine learning algorithms and rule-based decisions within a complex context. On this background the feasibility of improvement in gaining efficiency in construction management organization is elaborated and reviewed.

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Ablaufplanung mit Petrinetzen

Cited by 4 publications

References 0 publications

Potentials of artificial intelligence in construction management

Potentials of artificial intelligence in construction management

Explicit Evaluation of Complexity in Construction and Real Estate Management

Artificial Intelligence in Construction Management – a Perspective

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