scholarly journals Production batch sizing and inventory level control using simulation software

2021 ◽  
Vol 12 (9) ◽  
pp. s812-s830
Author(s):  
Bruna Christina Battissacco ◽  
Walther Azzolini Junior ◽  
José Henrique de Andrade ◽  
Maicom Sergio Brandão ◽  
José Marcelo Barbosa Palma
Keyword(s):  
Decision Making ◽  
Simulation Model ◽  
Simulation Software ◽  
Real System ◽  
Inventory Level ◽  
Production Volume ◽  
Level Control ◽  
The Real ◽  
Batch Sizing ◽  
Challenges And Opportunities

Computer simulation has great application potential in the area of Production Engineering as a tool to support decision making as it allows to simulate the functioning of a real system through logical relationships, in order to observe its behavior under different scenarios. Which could not be practiced in the real system. In line with this aspect, the present work aims to present a report on the application of simulation for the design of production batches and inventory control, highlighting the process necessary for the construction of the generated simulation model, as well as the challenges and opportunities observed. In order to achieve the proposed objective, a literature review was carried out on the topics of interest; the choice and understanding of simulation software and; the survey of data from a large auto parts manufacturer located in the interior of the state of São Paulo. The main results were an increase in production volume from the inclusion and dimensioning of a buffer after the assembly process and a balance between the number of items of each component of the product structure in the supply with the real capacity of manufacturing cell processing. Cabe ressaltar que o modelo de simulação produto da pesquisa deste artigo pode ser aplicado como um sistema de apoio à decisão do gestor para a elaboração do planejamento estratégico e do planejamento operacional com o propósito de melhorar a capacidade de análise e decisão. It is important mentioning that the simulation model in this article can be applied as a support system decision for the preparation of strategic planning and operational planning, with the purpose of improving the analysis capacity for decision-making.

Algorithm for Selection of Simulation Software

2012 ◽  
Vol 463-464 ◽  
pp. 1077-1080
Author(s):  
Jana Hlubeňová ◽  
Daniel Hlubeň
Keyword(s):  
Manufacturing Systems ◽  
Virtual Enterprise ◽  
Simulation Software ◽  
Real System ◽  
Simulation Program ◽  
The Real ◽  
Selection Of

A lot of performance products designed for the simulation of manufacturing systems is currently available on the market. Some of them are designed exclusively for logistics, others are designed to simulate the robotic workplace and some of them allow simulation the entire virtual enterprise from its logistics to the entire workplace connected to the real system. The article describes the algorithm for choosing the most suitable simulation program.

scholarly journals Idealization of The Real Stirling Cycle

2016 ◽  
Vol 14 (3) ◽  
pp. 19-27 ◽  
Author(s):  
Libor Červenka
Keyword(s):  
Simulation Model ◽  
Simulation Software ◽  
Stirling Engine ◽  
The Real ◽  
Stirling Cycle ◽  
The Ideal

Abstract The paper presents a potential idealization of the real Stirling cycle. This idealization is performed by modifying the piston movement corresponding to the ideal Stirling cycle. The focus is on the cycle thermodynamics with respect to the indicated efficiency and indicated power. A detailed 1-D simulation model of a Stirling engine is used as a tool for this assessment. The model includes real non-zero volumes of heater, regenerator, cooler and connecting pipe. The model is created in the GT Power commercial simulation software.

Virtual Production Line Layout Modeling Using Arena Simulation Software

2013 ◽  
Vol 393 ◽  
pp. 42-48
Author(s):  
Mohd Azrin bin Mohd Said ◽  
Napsiah Binti Ismail
Keyword(s):  
Simulation Model ◽  
Production Rate ◽  
Production Line ◽  
Production Cost ◽  
Manufacturing System ◽  
Simulation Software ◽  
Production Performance ◽  
The Real ◽  
Virtual Production ◽  
Factory Production

This paper focuses on the feasibility on developing a simulation model of a bicarbonate beverage production line layout in a manufacturing system by identifying the factory production performance in terms of production rate, production time and production cost. The production performance of the manufacturing system was evaluated using Arena software and the analysis of the production performance values was revealed. The errors percentage for the real production line layout with simulation model was 0.26 %. The models that have been developed in this research by using the Arena software were also being validated. Based on this study,, measures production line layout can be simulated by using the Arena software enhancing the result for further improvement of factory production line layout.

scholarly journals Simulation of Fluid Power Systems in Consideration of Uncertainties

2013 ◽  
Author(s):  
Andreas Rüdenauer ◽  
Phillip Thiebes
Keyword(s):  
Power Systems ◽  
Simulation Model ◽  
Early Stage ◽  
Transformation Method ◽  
Real System ◽  
Fluid Power ◽  
Fuzzy Arithmetic ◽  
The Real ◽  
Simulation Performance ◽  
Fluid Power Systems

This paper presents the fundamental interrelation of uncertainty in the context of the modeling and simulation process of fluid power systems. Building up a simulation model means to represent a real system and its dynamic behavior in an experimental model. This process generally requires a model simplification. Additionally, in an early stage of product development, a certain lack of knowledge about a system is to be assumed. These so called epistemic uncertainties lead to a deviation of the simulated system’s behavior from the real one. One possibility to consider such uncertainties in simulation is by using the approach of fuzzy arithmetic. This approach allows substituting crisp parameter values through fuzzy intervals. This way, uncertainty-sensitive simulation results can be obtained and the reliability of simulation can be significantly increased. Especially for the simulation of fluid power systems with lumped parameters, a trade-off between simulation performance and the level of detail of the model has often to be accepted. The assumption of uncertainties in fluid power simulation shows the potential of creating simplified simulation models, which at the same time promise to have a high conformance to the real system behavior. Using the fuzzy arithmetic approach under application of the transformation method by Hanss, the potential for fluid power system simulation in consideration of epistemic uncertainties is explained and evaluated. Therefore, a simulation model is tested as an example application using different degrees of parameter fuzzification.

Processing the Experimental Data from Simulation Model of the Production Operation

2015 ◽  
Vol 816 ◽  
pp. 509-513
Author(s):  
Daniela Onofrejová ◽  
Jozef Kováč
Keyword(s):  
Experimental Data ◽  
Simulation Model ◽  
Experimental Studies ◽  
Simulation Software ◽  
Manufacturing Processes ◽  
Production Operation ◽  
Active Process ◽  
The Real ◽  
Improve Efficiency ◽  
Technological Processes

Experimental studies of production technological processes are now enabled through a use of the available simulation software. The scientific studies, executing experiments with simulation software, are used to optimize, improve efficiency, and elimination of deficiencies in manufacturing processes without any interfering with the real processes. The big advantage is that by using simulation software, one can simulate a number of experimental variations of scenarios in advance, and evaluate any intervention in the course of the active process. Experiments with a built simulation model answer the questions of what-if analysis for variable set scenarios.

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

DATABASE DESIGN FOR E-GOVERNANCE APPLICATION: A FRAMEWORK FOR THE MANAGEMENT INFORMATION SYSTEMS OF THE VIETNAM COMMITTEE FOR ETHNIC MINORITY AFFAIRS

2017 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Good Governance ◽  
Local Governance ◽  
Geographical Information ◽  
Base System ◽  
Challenges And Opportunities ◽  
Competency Based

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

scholarly journals A Tool for the Analysis and Characterization of School Mathematical Models

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1569
Author(s):  
Jesús Montejo-Gámez ◽  
Elvira Fernández-Ahumada ◽  
Natividad Adamuz-Povedano
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Educational Research ◽  
Analysis Procedure ◽  
Real System ◽  
The Real ◽  
School Model ◽  
Corresponding Analysis ◽  
Three Components

This paper shows a tool for the analysis of written productions that allows for the characterization of the mathematical models that students develop when solving modeling tasks. For this purpose, different conceptualizations of mathematical models in education are discussed, paying special attention to the evidence that characterizes a school model. The discussion leads to the consideration of three components, which constitute the main categories of the proposed tool: the real system to be modeled, its mathematization and the representations used to express both. These categories and the corresponding analysis procedure are explained and illustrated through two working examples, which expose the value of the tool in establishing the foci of analysis when investigating school models, and thus, suggest modeling skills. The connection of this tool with other approaches to educational research on mathematical modeling is also discussed.

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