scholarly journals Solution of Bottlenecks in the Logistics Flow by Applying the Kanban Module in the Tecnomatix Plant Simulation Software

2021 ◽  
Vol 13 (14) ◽  
pp. 7989
Author(s):  
Miriam Pekarcikova ◽  
Peter Trebuna ◽  
Marek Kliment ◽  
Michal Dic

The presented article deals with the issue of solving bottlenecks in the logistics flow of a manufacturing company. The Tx Plant Simulation software tool is used to detect bottlenecks and deficiencies in the company’s production, logistics and transportation systems. Together with the use of simulation methods and lean manufacturing tools, losses in business processes are eliminated and consequently flow throughput is improved. In the TX Plant Simulation software environment, using Bottleneck analyzer, bottlenecks were defined on the created simulation model and a method of optimizing logistics flows was designed and tested by introducing the Kanban pull system. This resulted in an improvement and throughput of the entire logistics flow, a reduction in inter-operational stocks and an increase in the efficiency of the production system as a whole.

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1197
Author(s):  
Patrik Grznár ◽  
Martin Krajčovič ◽  
Arkadiusz Gola ◽  
Ľuboslav Dulina ◽  
Beáta Furmannová ◽  
...  

In the last decade, simulation software as a tool for managing and controlling business processes has received a lot of attention. Many of the new software features allow businesses to achieve better quality results using optimisation, such as genetic algorithms. This article describes the use of modelling and simulation in shipment and sorting processes that are optimised by a genetic algorithm’s involvement. The designed algorithm and simulation model focuses on optimising the duration of shipment processing times and numbers of workers. The commercially available software Tecnomatix Plant Simulation, paired with a genetic algorithm, was used for optimisation, decreasing time durations, and thus selecting the most suitable solution for defined inputs. This method has produced better results in comparison to the classical heuristic methods and, furthermore, is not as time consuming. This article, at its core, describes the algorithm used to determine the optimal number of workers in sorting warehouses with the results of its application. The final part of this article contains an evaluation of this proposal compared to the original methods, and highlights what benefits result from such changes. The major purpose of this research is to determine the number of workers needed to speed up the departure of shipments and optimise the workload of workers.


2020 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Marek Kliment ◽  
Peter Trebuňa ◽  
Ladislav Rosocha ◽  
Štefan Král ◽  
Richard Duda

The contribution is focused on the production line, which covers assembly in assemblies in the automotive industry. This process consists of several assembly stations. The paper contains a brief description of production positions. The production process was analysed, and a snapshot of work activities was created. We created a simulation using the Tecnomatix Plant Simulation software tool. To increase efficiency, we also use the Hoshin method, which is commonly used in industrial enterprises. Hoshin Kanri is used as a system management tool to develop an annual tactic to implement in all departments and functions within the company. It is for organisations looking for ways to create an effective plan for the future. It is a composition of tools and principles that we can say are helpful in a set of change management and planning systems.


Author(s):  
F. Wittmann ◽  
C. Schmitt ◽  
F. Adam ◽  
P. Dierken

AbstractThe Energyhub@Sea concept is one of the four research applications of the Space@Sea project funded by the EU’s Horizon 2020 research program (GA number: 774253). The focus of this paper is the evaluation of the energy demands of an energy self-sufficient maintenance platform at the location of Helgoland in the North Sea. In view of this, a standardized modular floater was developed as an offshore wind operation and maintenance base, which in the following paper is referred to as an O&M hub. The O&M hub is intended to be equipped with accommodation facilities and various renewable energy infrastructure as well as spare parts logistics, enabling the platform to perform maintenance of offshore gearless wind turbines with a capacity of up to 10 MW. To be energy self-sustaining, an energy supply system for the hub was developed and simulated at a resolution of ten minutes by means of the Top-Energy simulation software, a commercial software tool. As a basis for the simulation, an approach for the automated determination of flexible load profiles, in resolutions of up to ten minutes was developed. This load profile generator creates load profiles on the basis of environmental conditions, technical characteristics, and expected behaviors of the inhabitants. On the basis of the generated load profiles, a first layout (referred to as baseline scenario) for the different components of the energy system was evaluated and tested through simulation. In a second step, three optimization scenarios were developed and simulated with regards to the financial feasibility of the Energyhub.


2020 ◽  
Vol 10 (1) ◽  
pp. 224-231
Author(s):  
Erik Tischer ◽  
Petr Nachtigall ◽  
Jaromír Široký

AbstractSimulation modelling is one way to determine the capacity of railway lines. The specialized software tool OpenTrack was used for simulation. The aim of this paper was to find out whether the OpenTrack simulation software can be used for the calculation of headway, and to compare the results with the methodology of the Railway Infrastructure Administration (SŽDC). Using the software tool, a detailed transport network model can be created including all its important characteristics. The simulation follows the movements and behaviour of trains with predefined parameters on the modelled railway line. OpenTrack allows for monitoring a range of parameters including not only train delays, train conflicts and train traffic flow, but also for instance train energy performance and headways. During the first stage of work with OpenTrack, a simulation model was created, not reflecting any existing infrastructure but including parameters typical of railway lines in the Czech Republic, such as the configuration of gridirons, length of station tracks, size of block sections, etc. This model was subsequently used for the simulation of type train set journeys, and a headway calculator was used for the calculation of headway values. These values were compared with the methodology used by the Railway Infrastructure Administration. The paper is concluded by the comparison of the above mentioned approaches.


Author(s):  
Eric Liese

A dynamic process model of a steam turbine, including partial arc admission operation, is presented. Models were made for the first stage and last stage, with the middle stages presently assumed to have a constant pressure ratio and efficiency. A condenser model is also presented. The paper discusses the function and importance of the steam turbines entrance design and the first stage. The results for steam turbines with a partial arc entrance are shown, and compare well with experimental data available in the literature, in particular, the “valve loop” behavior as the steam flow rate is reduced. This is important to model correctly since it significantly influences the downstream state variables of the steam, and thus the characteristic of the entire steam turbine, e.g., state conditions at extractions, overall turbine flow, and condenser behavior. The importance of the last stage (the stage just upstream of the condenser) in determining the overall flowrate and exhaust conditions to the condenser is described and shown via results.


2013 ◽  
Vol 2013 ◽  
pp. 1-23 ◽  
Author(s):  
Peter Coppo ◽  
Leandro Chiarantini ◽  
Luciano Alparone

The theoretical description of a simplified end-to-end software tool for simulation of data produced by optical instruments, starting from either synthetic or airborne hyperspectral data, is described and some simulation examples of hyperspectral and panchromatic images for existing and future design instruments are also reported. High spatial/spectral resolution images with low intrinsic noise and the sensor/mission specifications are used as inputs for the simulations. The examples reported in this paper show the capabilities of the tool for simulating target detection scenarios, data quality assessment with respect to classification performance and class discrimination, impact of optical design on image quality, and 3D modelling of optical performances. The simulator is conceived as a tool (during phase 0/A) for the specification and early development of new Earth observation optical instruments, whose compliance to user’s requirements is achieved through a process of cost/performance trade-off. The Selex Galileo simulator, as compared with other existing image simulators for phase C/D projects of space-borne instruments, implements all modules necessary for a complete panchromatic and hyper spectral image simulation, and it allows excellent flexibility and expandability for new integrated functions because of the adopted IDL-ENVI software environment.


2021 ◽  
Vol 27 (9) ◽  
pp. 725-733
Author(s):  
A. A. Volkova ◽  
V. A. Plotnikov ◽  
Yu. A. Nikitin ◽  
N. I. Vasil’ev

Aim. The presented study aims to examine the specific features as well as organizational and technical aspects of production logistics, taking into account its potential for using digital technologies.Tasks. The authors consider the essence, purpose, and goals of production logistics; analyze major logistics systems used in production logistics; assess the prospects for using digital technologies in this sphere.Methods. This study uses the methodology of strategic and logistics management, the systems approach, life cycle theory, general scientific methods of generalization, comparative, retrospective, and structural-functional analysis.Results. The production and logistics systems of a company are considered as equivalent elements in the context of managing material flows in internal and external supply chains and achieving the company’s operational and development goals. In this regard, production logistics is shown as part of both logistics and production, which affects its organization and architecture. Under modern conditions, an approach based on certain data is widely used in production logistics. It requires active introduction of digital technologies in production logistics, the purpose of which is not to achieve technical or organizational perfection of business processes, but to select technologies from the perspective of creating additional value.Conclusions. In the course of the study, three categories of activities associated with production logistics are identified. For each of these categories, the prospects and recommended classification of digital technologies are defined. Particular emphasis is placed on improving the quality and efficiency of data use. According to the authors, all information systems and digital technologies used in production logistics should be highly reliable. Thus, introduction of any new technologies in production logistics requires careful consideration. Regardless of the type of technology, a systems approach to the organization and development of production logistics is a prerequisite for the efficient operation of the company as a whole.


Author(s):  
Н.С. Хорошавина ◽  
М.С. Абрашкин

Цифровые технологии существенно влияют на мировой рынок, внося коррективы в расстановку сил на нем. Используемые ранее подходы к управлению бизнес-процессами становятся не актуальными в современных условиях. Без цифровизации наукоемкие производства будут не способны выдержать конкурентную борьбу, и вынуждены будут уйти с рынка. В то же время современные условия хозяйствования диктуют необходимость постоянного совершенствования бизнес-процессов наукоемких предприятий, их оптимизации. Данные принципы являются основой концепции бережливое производство, реализация которых становится более эффективной при условии использования цифровых технологий. В статье рассмотрены вопросы интеграции концепции бережливое производство и цифровых технологий на наукоемких предприятиях. Показан пример успешной реализации принципов данной концепции с использованием цифровых подходов к оптимизации бизнес-процессов наукоемкого производства. В современных условиях важнейшим активом любого предприятия, в том числе и наукоемкого производства, являются данные. Реализация принципов бережливого производства требует обработки значительного объема информации. Цифровые технологии позволяют анализировать информационные потоки в режиме реального времени, моделировать бизнес-процессы и тем самым, способствуют более качественному и оперативному принятию решений по оптимизации бизнес-процессов наукоемких производств. Только объединив принципы концепции бережливое производство и возможности, которые дает цифровизация, наукоемкие предприятия смогут не просто удержать свои конкурентные позиции на рынке, но и перейти на более качественный уровень своего развития. Digital technologies significantly affect the global market, making adjustments to the balance of power in it. Previously used approaches to business process management are no longer relevant in modern conditions. Without digitalization, high-tech industries will not be able to withstand competition and will be forced to leave the market. At the same time, modern business conditions dictate the need to constantly improve the business processes of high-tech enterprises and optimize them. These principles are the basis of the concept of lean manufacturing, the implementation of which becomes more effective when using digital technologies. The article deals with the integration of the concept of lean manufacturing and digital technologies in high-tech enterprises. An example of successful implementation of the principles of this concept using digital approaches to optimizing business processes in high-tech production is shown. In modern conditions, the most important asset of any.


2018 ◽  
Vol 203 ◽  
pp. 03005
Author(s):  
Idzham Fauzi Mohd Ariff ◽  
Mardhiyah Bakir

A dynamic simulation model was developed, calibrated and validated for a petrochemical plant in Terengganu, Malaysia. Calibration and validation of the model was conducted based on plant monitoring data spanning 3 years resulting in a model accuracy (RMSD) for effluent chemical oxygen demand (COD), ammoniacal nitrogen (NH3-N) and total suspended solids (TSS) of ±11.7 mg/L, ±0.52 mg/L and ± 3.27 mg/L respectively. The simulation model has since been used for troubleshooting during plant upsets, planning of plant turnarounds and developing upgrade options. A case study is presented where the simulation model was used to assist in troubleshooting and rectification of a plant upset where ingress of a surfactant compound resulted in high effluent TSS and COD. The model was successfully used in the incident troubleshooting activities and provided critical insights that assisted the plant operators to quickly respond and bring back the system to normal, stable condition.


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