A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies

West, Nikolai; Syberg, Marius; Deuse, Jochen

doi:10.1007/978-3-030-90700-6_69

Cited by 12 publications

(2 citation statements)

References 18 publications

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“…Only by anticipating an emerging bottleneck, the effect can be controlled without effecting the overall output. In addition, the recent idea of bottleneck prescription proposes a novel type of system that fully subjects a system's control mechanism to the predictions of future bottleneck occurrences (West et al, 2022). Since a bottleneck's existence is inevitable, this approach will not eliminate a bottleneck, but it can avoid or reduce the adverse influence of shifting bottlenecks.…”

Section: Production Control -Eliyahu M Goldrattmentioning

confidence: 99%

Rediscovering scientific management. The evolution from industrial engineering to industrial data science

Deuse

West

Syberg

2022

Int. J. Prod. Manag. Eng.

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Industrial Engineering, through its role as design, planning and organizational body of the industrial production, has been crucial for the success of manufacturing companies for decades. The potential, expected over the course of Industry 4.0 and through the application of Data Analytic tools and methods, requires a coupling to established methods. This creates the necessity to extend the traditional job description of Industrial Engineering by new tools from the field of Data Analytics, namely Industrial Data Science. Originating from the historic pioneers of Industrial Engineering, it is evident that the basic principles will remain valuable. However, further development in view of the data analytic possibilities is already taking place. This paper reviews the origins of Industrial Engineering with reference to four pioneers, draws a connection to current day usage, and considers possibilities for future applications of Industrial Data Science.

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Section: Production Control -Eliyahu M Goldrattmentioning

confidence: 99%

Rediscovering scientific management. The evolution from industrial engineering to industrial data science

Deuse

West

Syberg

2022

Int. J. Prod. Manag. Eng.

Self Cite

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“…Research by [3] suggested a unique kind of system that completely subjects the control mechanism of a system to forecasts of future bottleneck events, the recent idea of bottleneck prescription. Meanwhile, the authors of [4] conducted a systematic literature study that examined the impact of industry 4.0 on bottleneck analysis in production and manufacturing cases.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

Jou,

Lin,

Silitonga

et al. 2024

Applied Sciences

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The global economy’s slow recovery has led to an increased need for transformers in organizations in recent years. An optimal strategy for production line optimization is to enhance the allocation of staff at each workstation and increase the amount of operational equipment. The focus of this study is the investigation of the transformer production line. This study carried out a comprehensive examination of manufacturing area one, manufacturing area two, and manufacturing area three, respectively. The findings revealed that the case factory requires enhancements in the allocation of its workers. The simulation approach allows for the implementation of multi-scenario evaluation and adjustment, ensuring optimal utilization of resources in the enhanced production line, hence enhancing production efficiency and total productivity. Implementing both rotational shifts and night shifts in manufacturing area one enhances the overall production efficiency of the manufacturing area. By redistributing the workforce in area two, it proved feasible to manage the production capacity of a manufacturing area and maintain the operation of the gas-phase drying furnace. With regard to the final aspect, it is imperative to enhance the processing time of preprocessing goods in order to guarantee a consistent supply of the appropriate quantity of products. This will effectively minimize production line delays and enhance overall production efficiency. These enhancement strategies aid the manufacturing company in optimizing resource allocation to enhance production efficiency and productivity.

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Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines

West

Schwenken

Deuse

2022

Lecture Notes in Computer Science

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A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies

Cited by 12 publications

References 18 publications

Rediscovering scientific management. The evolution from industrial engineering to industrial data science

Rediscovering scientific management. The evolution from industrial engineering to industrial data science

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines

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