scholarly journals Risk-Optimized Design of Production Systems by Use of GRAMOSA

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Michael Lütjen ◽  
Abderrahim Ait Alla
Keyword(s):  
Production System ◽  
Production Systems ◽  
System Development ◽  
Discrete Event ◽  
Mathematical Optimization ◽  
Optimized Design ◽  
Domain Specific Modeling ◽  
In Series ◽  
Production Technologies ◽  
Optimized Allocation

Today production and logistic systems are getting more complex. This is a problem which the planning and design of such systems have to deal with. One main issue of production system development in series production is the planning of production processes and systems under uncertainty. New and existing production technologies are often not fully adoptable to new products. This is why some of the main characteristics, like, for example, cost, time, or quality, are not definable at the beginning. Only value ranges and probabilities can be estimated. However, the adaptation process is controllable, which means that the adaptation results are depending on the existing development budget and its resources. This paper presents an approach for the optimized allocation of development resources regarding the adaptation risks of production technologies and processes. The modeling concept GRAMOSA is used for integrated modeling and discrete event-based simulation of the aspired production system. To this end a domain-specific modeling language (DSML) is applied. The further risk-based analysis of the simulation results and the optimized allocation of the development budget are done by use of mathematical optimization.

scholarly journals Utilization of computer simulation for optimization of furniture production system

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 6752-6765
Author(s):  
Roman Bambura ◽  
Erika Sujová ◽  
Helena Čierna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
Discrete Event ◽  
Simulation Software ◽  
Production Optimization ◽  
Furniture Manufacturing ◽  
Production Processes ◽  
Method Of Production

Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

Kommunikation im Anlagenentstehungsprozess*/Communication during production system development - Platform supporting the communication between customer and production system manufacturer

2017 ◽  
Vol 107 (09) ◽  
pp. 647-651
Author(s):  
R. Prof. Müller ◽  
M. Vette ◽  
L. Hörauf ◽  
C. Speicher ◽  
J. Müller ◽  
...  
Keyword(s):  
Production System ◽  
Production Systems ◽  
Early Stage ◽  
System Development ◽  
Wird Eine ◽  
Time To Market ◽  
Web Based ◽  
Development Platform ◽  
Market Production ◽  
The Media

Um die „Time-to-Market“ zu verkürzen, werden Montageanlagen in frühen Stadien der Produktentwicklung bestellt und simultan mit dem Produkt entwickelt. Die Kommunikation von Produktänderungen an den Anlagenbauer erfolgt meist nicht medienbruchfrei – somit dauert die Informationsübermittlung länger und die Fehleranfälligkeit steigt. Es wird eine web-basierte Kommunikationsplattform vorgestellt, welche eine medienbruchfreie Kommunikation und einen einheitlichen Informationsstand aller Beteiligten ermöglicht.   To reduce the time-to-market, production systems are ordered in an early stage of product development. Due to simultaneous engineering, the production system manufacturer has to be informed about product changes. In this communication, the media is likely to be disrupted. Therefore, the information transmission takes longer and the error rate increases. A web-based communication platform is presented, which enables communication without media disruption and ensures the same level of information for all parties involved.

Machine Tool Service for Mass-Production Machining Systems

2018 ◽  
Vol 12 (4) ◽  
pp. 507-513
Author(s):  
Makoto Fujishima ◽  
◽  
Takashi Hoshi ◽  
Hiroki Nakahira ◽  
Masafumi Takahashi ◽  
...  
Keyword(s):  
Machine Tool ◽  
Production System ◽  
Mass Production ◽  
Machine Tools ◽  
Production Systems ◽  
Production Volume ◽  
Machining Processes ◽  
In Series ◽  
Tool Service ◽  
Large Production

Mass-production machining systems that are comprised of machine tools are often configured in series by dividing the machining processes in order to manage the large production volume. This indicates that if one of the machines stops owing to a mechanical malfunction, the entire production line needs to be stopped. Thus, machine tools in mass-production systems are required to be highly reliable and easy to maintain. Predictive maintenance, which enables operators to detect any signs of failure in the machine tool components, needs to be performed for the machines as well. In this work, various approaches for the improvement of the maintainability of machine tools used in a mass-production system are reported.

Application of Enterprise Modelling (EM) Principles to Improving the Performance of a Semi-Automated Production System

2009 ◽  
Vol 62-64 ◽  
pp. 293-302 ◽  
Author(s):  
J.O. Ajaefobi ◽  
R.H. Weston
Keyword(s):  
Production System ◽  
Dynamic Models ◽  
Production Systems ◽  
Discrete Event ◽  
Business Environment ◽  
Automated Production ◽  
Manufacturing Enterprises ◽  
Event Simulation ◽  
Enterprise Modelling ◽  
And Performance

To cope with high levels of complexity, competition and change requirements, manufacturing enterprises (MEs) need to continuously improve their process and resource system performances. Enterprise Modelling (EM) is considered a prerequisite for enterprise integration and performance improvement because it can be used to capture relatively enduring knowledge about any specific business environment in which production systems will be deployed. With this prerequisite in mind, EM principles were deployed to capture and develop ‘static’ models of an SME. This provided detailed descriptions of enterprise production operations and their precedence relationships. A discrete event simulation tool was then used to develop time dependent ‘dynamic’ models of selected process segments of the specific case Enterprise Model. This allowed the computer execution of alternative production system designs to be assessed under SME specific changing scenarios and enabled suggestions for potential improvements to be made.

scholarly journals The Digital Twin for Agricultural Machinery Restoration Processes

2021 ◽  
Vol 31 (4) ◽  
pp. 530-543
Author(s):  
Yuriy G. Sledkov ◽  
Leonid L. Khoroshko ◽  
Pavel M. Kuznetsov ◽  
Anton O. Butko
Keyword(s):  
Production System ◽  
Production Systems ◽  
Discrete Event ◽  
Complete Information ◽  
Information Support ◽  
Agricultural Machinery ◽  
Repair Work ◽  
Digital Twin ◽  
Event Modeling ◽  
Twin Model

Introduction. Agricultural machinery provides the required level of mechanization. Sand abrasive, dirt, and open-air operations considerably accelerate the wear of mechanisms. An improper work plan and lack of complete information about the state of specific equipment units increase the time for repair and maintenance operations. The purpose of the study is to develop a digital twin model for the repair and restoration system of enterprises. The model will reduce material costs and allow for the best solutions to organize the work. Materials and Methods. The model is developed on the basis of simulation modeling. The authors used the approach based on discrete-event modeling with the logical-mathematical apparatus for describing events occurring in a real object. Results. Information support is formed taking into account the parameters of the production systems of repair enterprises and a mathematical model, which is a digital twin of the production system. This approach made it possible to automate the development of optimal plans for organizing repair work by repair enterprises, taking into account their interrelationships. Discussion and Conclusion. The digital twin for the generalized production system of repair organizations allows developing options for the resource allocation and verifying them promptly to choose the best options through accumulating information about the most successful solutions. This will reduce the time for repair and restoration works, improve their quality and save labor.

scholarly journals Simulation Based Optimization for World Line Card Production System

2012 ◽  
Vol 2 (2) ◽  
pp. 95-104
Author(s):  
Sinan APAK ◽  
Sami ERCAN
Keyword(s):  
Simulation Model ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
World Line ◽  
Discrete Event ◽  
Efficient Solutions ◽  
Line Card ◽  
Simulation Based ◽  
Using Data

Simulation based decision support system is one of the commonly used tool to examine complex production systems. The simulation approach provides process modules which can be adjusted with certain parameters by using data relatively easily obtainable in production process. World Line Card production system simulation is developed to evaluate the optimality of existing production line via using discrete event simulation model with variaty of alternative proposals. The current production system is analysed by a simulation model emphasizing the bottlenecks and the poorly utilized production line. Our analysis identified some improvements and efficient solutions for the existing system.

Integrated portfolio planning of products and production systems

2014 ◽  
Vol 25 (2) ◽  
pp. 155-174 ◽  
Author(s):  
Jessica Bruch ◽  
Monica Bellgran
Keyword(s):  
Production System ◽  
Production Systems ◽  
System Development ◽  
Cost Effective ◽  
Product Portfolio ◽  
Manufacturing Companies ◽  
Longitudinal Case Study ◽  
Content Type ◽  
Portfolio Strategy ◽  
Context Specific

Purpose – The purpose of the research presented is to analyse and discuss critical challenges related to the development of a production system portfolio. Design/methodology/approach – The study employs a longitudinal case study of an industrialization project at a global supplier in the automotive industry. Findings – This research makes two clear theoretical contributions. First, it extends the existing research on the manufacturing and R&D interface by proposing an innovative structure for production system development facilitating manufacturing companies in their efforts of being fast and cost-effective when introducing new products to the market. Second, this research identifies challenges related to the adoption of a production system portfolio and the necessary actions of a manufacturing company applying such a portfolio strategy. Research limitations/implications – The findings should be seen as a first attempt at assisting the development of a production system portfolio that matches the product portfolio. However, since the findings are based on only one case, the findings are to some extent context-specific and thus need to be complemented by more research. Practical implications – The research unveils challenges related to production system development and provides managers with a better understanding of some of the implications of the adoption of a portfolio strategy. Originality/value – This empirical study is among the first to explore the implications of a production system portfolio strategy. It advances the understanding towards a fully integrated product and production system development.

scholarly journals Efficiency of Watermelon (Citrullus lanatus Thunb.) Production Technologies in North Central Nigeria

2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Yusuf U Oladimeji ◽  
Zakari Abdulsalam
Keyword(s):  
Technical Efficiency ◽  
Production System ◽  
Energy Use ◽  
Production Systems ◽  
Citrullus Lanatus ◽  
Low Cost ◽  
Primary Data ◽  
Scale Efficiency ◽  
Profit Model ◽  
Production Technologies

This study is aimed at determining the efficiency of watermelon production technologies using profit model and Data Envelope Analyses. Primary data through structured questionnaire and interview were administered to 280 farmers. The result of the study shows that Conventional Watermelon Production (CWP) was more profitable ₦252,485.4 per ha compared to Scientific Watermelon Production (SWP) at a profit of ₦237,307.0 per ha. The energy use efficiency ratio of CWP at 1.49 was also higher compared to SWP which was 1.03. However, the output from scientific farms of 3014 pods as well as the scale efficiency of 0.81 was higher compared to the output and scale efficiency for the conventional farms of 2567 and 0.65 respectively. The result also indicates that scientific production system had a higher technical efficiency using Charnes, Cooper and Rhodes (CCR) model 0.73 and Banker, Charnes and Cooper (BCC) model 0.89 compared to conventional watermelon production technique with CCR and BCC of 0.59 and 0.73 respectively. The study also revealed that the scientific watermelon production system was more technically efficient and the output was higher than the conventional farming. Despite this, there is need to critically find a way of increasing energy parameters and technical efficiency in both production systems to move closer to energy optimum and efficiency frontier. This could be achieved by the integration of the two production systems to achieve low cost and efficient scientific inputs usage. On the other hand, watermelon farmers could also shift to semi-mechanized farming for higher output and to be more technically efficient.

scholarly journals Soil Bacterial Community Diversity and Composition as Affected by Tillage Intensity Treatments in Corn-Soybean Production Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 157-172
Author(s):  
Shankar G. Shanmugam ◽  
Normie W. Buehring ◽  
Jon D. Prevost ◽  
William L. Kingery
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Community Composition ◽  
Production System ◽  
Soil Microbial Community ◽  
Production Systems ◽  
Bacterial Community Composition ◽  
Soybean Production ◽  
Soil Microbial ◽  
Soil Bacterial

Our understanding on the effects of tillage intensity on the soil microbial community structure and composition in crop production systems are limited. This study evaluated the soil microbial community composition and diversity under different tillage management systems in an effort to identify management practices that effectively support sustainable agriculture. We report results from a three-year study to determine the effects on changes in soil microbial diversity and composition from four tillage intensity treatments and two residue management treatments in a corn-soybean production system using Illumina high-throughput sequencing of 16S rRNA genes. Soil samples were collected from tillage treatments at locations in the Southern Coastal Plain (Verona, Mississippi, USA) and Southern Mississippi River Alluvium (Stoneville, Mississippi, USA) for soil analysis and bacterial community characterization. Our results indicated that different tillage intensity treatments differentially changed the relative abundances of bacterial phyla. The Mantel test of correlations indicated that differences among bacterial community composition were significantly influenced by tillage regime (rM = 0.39, p ≤ 0.0001). Simpson’s reciprocal diversity index indicated greater bacterial diversity with reduction in tillage intensity for each year and study location. For both study sites, differences in tillage intensity had significant influence on the abundance of Proteobacteria. The shift in the soil bacterial community composition under different tillage systems was strongly correlated to changes in labile carbon pool in the system and how it affected the microbial metabolism. This study indicates that soil management through tillage intensity regime had a profound influence on diversity and composition of soil bacterial communities in a corn-soybean production system.

A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems

2014 ◽  
Vol 1036 ◽  
pp. 864-868 ◽  
Author(s):  
Marcin Zemczak ◽  
Damian Krenczyk
Keyword(s):  
Task Scheduling ◽  
Production System ◽  
Mixed Model ◽  
Production Systems ◽  
Production Capacity ◽  
Approximate Solutions ◽  
Task Sequence ◽  
Optimal Method ◽  
Sequencing Problem ◽  
Car Sequencing

The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

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