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Modelling and Analysis of Logistics Processes by Applying Process and Data Mining Techniques
Rudnitckaia, Julia ; Wang, Hao (referee) ; Zendulka, Jaroslav (referee) ; Hruška, Tomáš (advisor)
In this thesis, we propose an approach for modelling hidden and unknown processes and subprocesses in the example of a seaport logistics area. Having the underlying process model makes it possible to exploit more advanced algorithms since deviations and main paths are becoming visible and better controlled. The obtained model is the foundation for the core research of this work and will be enriched with key performing indicators and their forecast by applying advanced process mining, statistics, and machine learning techniques. The main difference of the approach is that we take as a target variable not any specific value, but the object - a process variant or a process type with a set of parameters. Bottleneck analysis, from one side, and predictive analysis, on the other hand, are enforced with context-aware information, especially with these additional objective process attributes. Furthermore, the support of the descriptive ("As is") current process model with certain notation and the integration with relevant bottleneck and predictive methods compromise the advantages of the approach. The work primarily focuses on the design of algorithms and methods for supporting logistics data analysis. However, it can be adjusted and applied to other areas accordingly, which makes the approach flexible and versatile. The result of the work is the framework for unstructured process modelling and the key process parameters predictive method. This analysis of processes with their attributes might be used for decision-making systems and process maps in future.
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Modelling and Analysis of Logistics Processes by Applying Process and Data Mining Techniques
Rudnitckaia, Julia ; Wang, Hao (referee) ; Zendulka, Jaroslav (referee) ; Hruška, Tomáš (advisor)
In this thesis, we propose an approach for modelling hidden and unknown processes and subprocesses in the example of a seaport logistics area. Having the underlying process model makes it possible to exploit more advanced algorithms since deviations and main paths are becoming visible and better controlled. The obtained model is the foundation for the core research of this work and will be enriched with key performing indicators and their forecast by applying advanced process mining, statistics, and machine learning techniques. The main difference of the approach is that we take as a target variable not any specific value, but the object - a process variant or a process type with a set of parameters. Bottleneck analysis, from one side, and predictive analysis, on the other hand, are enforced with context-aware information, especially with these additional objective process attributes. Furthermore, the support of the descriptive ("As is") current process model with certain notation and the integration with relevant bottleneck and predictive methods compromise the advantages of the approach. The work primarily focuses on the design of algorithms and methods for supporting logistics data analysis. However, it can be adjusted and applied to other areas accordingly, which makes the approach flexible and versatile. The result of the work is the framework for unstructured process modelling and the key process parameters predictive method. This analysis of processes with their attributes might be used for decision-making systems and process maps in future.
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Skladovací systém výrobně obchodní společnosti
Maňák, Petr
Maňák, P. Storage system in the manufacturing company. Bachelor thesis. Brno: Mendel University, 2019. The bachelor thesis focuses on the implementation of the new logistics system in the selected company. The aim of the thesis is to propose solutions to improve the storage and optimization of logistics based on the analysis of the current solution.
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Application of Lean Six Sigma methodology in a logistic process
Bybina, Violetta ; Jirsák, Petr (advisor) ; Martínez, Felipe (referee)
The main goal of this thesis is to improve logistic processes at Anheuser-Busch InBev by aplying Lean and Six Sigma methods, in paticular, by using DMAIC methodology. Thesis is divided into two parts: theoretical and practical. In the theoretical part methods of Six Sigma and Lean are described and recent tendency to combine these methods together. Each step of DMAIC methodology was described in details in theoretical part. In the practical part there is a project which aims to of improveme international transport flows from England to Italy and from Belgium to England witth the use of DMAIC methodology.
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Logistics Processes Optimization in Company Specialized in Hotel Industry
Novotný, Josef ; Říhová, Zora (advisor) ; Jirsák, Petr (referee)
The thesis deals with the application of Lean management in optimizing business processes, namely logistics processes. The author narrows the theoretical view as possible in today's practice to optimize the logistics processes in the real case study of a company. One of the theoretical foundations of modern Japanese approach based on Lean Management is called Toyota Production System. The practical focus of the work lies in analysis of the actual deployment of optimization in company specialized in hotel industry. Finally, thesis evaluates the success of optimization in the organization. The author has proposed some practical pieces of advice and techniques to approach optimization in near future.
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Optimalizace skladového hospodářství společnosti XY, s. r. o.
Netoličková, Lucie
Netoličková, L. Optimization of warehouse management of company XY, s. r. o., Diploma thesis. Brno: Mendel University, 2015. The diploma thesis "Optimization of warehouse management of company XY, s. r. o." deals with theme of a warehouse management of company. In the first part of thesis I focused on character of a warehouse, logistics process and their optimization. In the practical part of my thesis is described the company and input material is subjected to the ABC analysis and divided into groups. Group A optimal values are calculated, which are ten compared with the actual statuses. On the basis of SWOT analysis are designed proposals of optimization leading to decrease of a company costs.
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