Structure-based System Dynamics Analysis - a case study of line process optimization

Kasperek, Daniel; Bermond, Lukas; Maisenbacher, Sebastian; Zaggl, Michael A.; Raasch, Christina; Maurer, Maik

doi:10.1109/syscon.2015.7116738

Cited by 3 publications

(22 citation statements)

References 6 publications

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“…The initially suggested resource domain of Kreimeyer (2009, p. 111) was detailed into tools and methods due to the specific conditions of the case study. (Kasperek, Berger, Maisenbacher, Lindemann, et al, 2015) Identified Tools …”

Section: Mdm Modelingmentioning

confidence: 99%

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Kasperek

Schenk

Kreimeyer³

et al. 2016

Systems Engineering

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The dynamic process behavior of Engineering Design Processes (EDPs) needs to be understood in order to distribute resources appropriately as well as for cost and schedule calculation. Currently, structural and behavioral modeling approaches are used in the context of EDP management. In many use cases, it is essential to have at hand both the static structural view and the dynamic behavioral one. Currently, however, the two modeling approaches cannot be sufficiently combined. Within this work, a framework for the structure‐based System Dynamics analysis of EDPs is presented. It uses structural models as a basis for constructing System Dynamics models to simulate the process behavior and thereby supports understanding the correlation of process structure and behavior. This framework was iteratively developed by conducting case studies and consists of three layers, a five‐step procedure and special support for the transformation of the models. For the validation, a subset of the design process at a large German commercial vehicle manufacturer has been chosen. Based on the application of the framework during a six‐month project at the company, the industrial experts rated the framework as beneficial for the purpose of optimizing EDPs. Furthermore, they stated that the transparent representation of the sequence of the process, influencing factors and control variables in combination with the quantitative data had improved their understanding of the overall process.

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Section: Mdm Modelingmentioning

confidence: 99%

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Kasperek

Schenk

Kreimeyer³

et al. 2016

Systems Engineering

Self Cite

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“…It was conducted in form of a student project and the presented results base on the publication of Kasperek, Bermond et al (2015).…”

Section: Case Study 2: Line Process Optimization At Man Bus and Coachmentioning

confidence: 99%

“…Process steps, persons, resources, and effort were chosen as domains. (Kasperek, Bermond, Maisenbacher, Zaggl, et al, 2015) For domains where the particular elements could not be identified by the process charts, additional input was given by the responsible warehouse manager. He also provided the current allocation of personnel at the warehouse.…”

Section: Stage 3: Data Gatheringmentioning

confidence: 99%

“…The domain effort can be seen as a scale, containing "high", "medium" and "low" measures, indicating the effort required to complete a process step. Figure 3-14 MDM of the line process (Kasperek, Bermond, Maisenbacher, Zaggl, et al, 2015) 3.3.5 Stage 4: Analyze Data…”

Section: Stage 3: Data Gatheringmentioning

confidence: 99%

“…(Kasperek, Bermond, Maisenbacher, Zaggl, et al, 2015) The rework cycle slightly differs from the one used in the first case study as the Original Work to Do is modeled as variable and not as stock and the separation of Work in progress into Work done and Undiscovered rework is modeled differently. Furthermore, the System Dynamics model differs significantly from the first case study in how the rework cycles are connected: In the first case study the process concurrence of the rework cycles was based on the percentage of work done within the predecessor rework cycles (equivalent to process phases), and each rework cycle (process phase) had its own amount of original work to do.…”

Section: Qualitative System Dynamics Modelmentioning

confidence: 99%

See 2 more Smart Citations

Structure-based System Dynamics analysis of engineering design processes

Kasperek

Lichtenberg

Maisenbacher

et al. 2015

2015 Annual IEEE Systems Conference (SysCon) Proceedings

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Formalization of the System Analysis Algorithm of Gas Extraction Enterprise Management

Perevozova,

Hryniv,

Lastovets

2023

PEH

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Identified parameters of the system analysis of gas production enterprise management, namely: structural analysis, which is represented by the formation of a matrix of structuring of organizational elements and their interactions (MSOE), and dynamic analysis involves the construction of a model of dynamic organizational elements and their interactions (MDOE). It is important to note that structural analysis precedes dynamic analysis and dynamic analysis is based on structural analysis. A methodology for researching the level of uncertainty of the external environment of a gas production enterprise is proposed, which is formed on the basis of structural and dynamic analysis, which allows dividing the factors of the external environment into groups and tracking their change over time. This approach to the analysis of the external environment allows you to predict the change of the factor and accordingly design a highly effective management solution. The proposed classification of models of the process of system analysis of the management of a gas production enterprise and the types of models of the process of system analysis of the management of a gas production enterprise are detailed: descriptive and calculation models of general direction; descriptive models of general directions; descriptive-calculation models of general direction with partial detailing and framework models. A complex algorithm for the system analysis of the management of a gas production enterprise is proposed, which reflects the successive stages of its implementation, leading to the adoption of a highly effective management decision when carrying out structural analysis, dynamic analysis, modeling of a management decision, testing of a management decision and, as a result, the implementation of a management decision. A timely, highly effective management decision leads the enterprise to success and vice versa. We suggest using system analysis to make highly effective management decisions, and the logical algorithm of its application reduces the time for making a management decision and guarantees the maximum result.

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Structure-based System Dynamics Analysis - a case study of line process optimization

Cited by 3 publications

References 6 publications

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Structure-based System Dynamics analysis of engineering design processes

Formalization of the System Analysis Algorithm of Gas Extraction Enterprise Management

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