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Manageability of complex organisational systems – system-theoretical confines of control

Wolfgang Eber

Wolfgang Eber

Chair of Construction Management, TUM School of Engineering and Design, Technical University of MunichMunich, Germany
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Eber, Wolfgang
  
10. Aug. 2022
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Artikel-Kategorie: Research Paper
Online veröffentlicht: 10. Aug. 2022
Seitenbereich: 2640 - 2655
Eingereicht: 03. Nov. 2021
Akzeptiert: 06. Mai 2022
DOI: https://doi.org/10.2478/otmcj-2022-0009
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© 2022 Wolfgang Eber, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Modelling the effect of nodes I on a node j.
Modelling the effect of nodes I on a node j.

Fig. 2

Multiple nodes driving qj towards inconsistent values.
Multiple nodes driving qj towards inconsistent values.

Fig. 3

Inconsistent state of equilibrium depending on the point of time when the one or other impacting node takes priority.
Inconsistent state of equilibrium depending on the point of time when the one or other impacting node takes priority.

Fig. 4

(a) Observing loop at both impactors. (b) Attached controlling element.
(a) Observing loop at both impactors. (b) Attached controlling element.

Fig. 5

Basic system of the theoretical controlling structure.
Basic system of the theoretical controlling structure.

Fig. 6

Solutions of harmonic differential equation.
Solutions of harmonic differential equation.

Fig. 7

Theoretical development of relaxation time τR ranging from oscillating over the critical/optimal setting to the overdamped situation.
Theoretical development of relaxation time τR ranging from oscillating over the critical/optimal setting to the overdamped situation.

Fig. 8

(a) Relaxation time τR, vs. given kC(=1/τC) with Δτ = 200. (b). Varying optimally set τC vs. a given delay Δω.
(a) Relaxation time τR, vs. given kC(=1/τC) with Δτ = 200. (b). Varying optimally set τC vs. a given delay Δω.

Fig. 9

Linear process subjected to controlling.
Linear process subjected to controlling.

Fig. 10

Randomly occurring incidents need full resources to respond in time.
Randomly occurring incidents need full resources to respond in time.

Fig. 11

Limitations of manageable quality deviation for different scenarios. The range below the lines represents the manageable quality deviation.
Limitations of manageable quality deviation for different scenarios. The range below the lines represents the manageable quality deviation.

Fig. 12

Development of distinguishing parameter S with τc close to Δt.
Development of distinguishing parameter S with τc close to Δt.

Fig. 13

Fundamental confines to controllability.
Fundamental confines to controllability.
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