scholarly journals PENJADWALAN PERALATAN UNTUK MENINGKATKAN KINERJA SISTEM MANUFAKTUR DENGAN PENDEKATAN SIMULASI SISTEM DISKRIT

2017 ◽  
Author(s):  
Abdurrozzaq Hasibuan
Keyword(s):  
Development Strategy ◽  
Real System ◽  
Product Cycle ◽  
Manufacturing Companies ◽  
Productivity Level ◽  
The Real ◽  
High Productivity ◽  
Work In Process ◽  
System P ◽  
System Variables

Facing the thight business competition era, the manufacturing companies have to development their industrial system preformances to the high productivity level. This paper explain three manufacturing system indicator; amount of standart output in a periode of time, product cycle time, and the amount of work in process (unfinish) product. Those three indicators will be viewed as a result of tools and production machine resources allocation in each work station.The Discrete system simulation was used to represent the real system that is examined. This method can give a details information about the characteristic of each system variables when try to make an experiment to improve the system performances without bothering and interrupt the real system it self. This situation will exactly reduce the unpredictable risk when implement the development strategy in the real system.

scholarly journals PENJADWALAN PERALATAN UNTUK MENINGKATKAN KINERJA SISTEM MANUFAKTUR DENGAN PENDEKATAN SIMULASI SISTEM DISKRIT

2017 ◽  
Author(s):  
Abdurrozzaq Hasibuan
Keyword(s):  
Development Strategy ◽  
Real System ◽  
Product Cycle ◽  
Manufacturing Companies ◽  
Productivity Level ◽  
The Real ◽  
High Productivity ◽  
Work In Process ◽  
System P ◽  
System Variables

Facing the thight business competition era, the manufacturing companies have to development their industrial system preformances to the high productivity level. This paper explain three manufacturing system indicator; amount of standart output in a periode of time, product cycle time, and the amount of work in process (unfinish) product. Those three indicators will be viewed as a result of tools and production machine resources allocation in each work station.The Discrete system simulation was used to represent the real system that is examined. This method can give a details information about the characteristic of each system variables when try to make an experiment to improve the system performances without bothering and interrupt the real system it self. This situation will exactly reduce the unpredictable risk when implement the development strategy in the real system.

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.

Instandhalter sind Mitgestalter ihres Assistenzsystems/Maintenance engineers are co-designers of their assistance system

2019 ◽  
Vol 109 (03) ◽  
pp. 189-193
Author(s):  
A. Keller ◽  
S. Adler ◽  
N. Zobel
Keyword(s):  
Technological Development ◽  
Assistance System ◽  
User Requirements ◽  
Shift Workers ◽  
System A ◽  
Work In Process ◽  
Kleine Und Mittlere Unternehmen ◽  
System P ◽  
Process Manufacturing ◽  
Maintenance Work

Im Forschungsprojekt „CPPSProcessAssist“ wurde für vier kleine und mittlere Unternehmen (KMU) der Prozessindustrie ein modulares und mobiles Assistenzsystem zur Instandhaltungsunterstützung entwickelt. Neben der technologischen Entwicklung des Systems wurde im Projekt eine Vorgehensweise zur Gestaltung und Einführung des Systems in den Unternehmen erarbeitet. Mitarbeiter der Schicht und Schichtleitung, Projektingenieure, Instandhalter sowie Technologieentwickler wurden als Mitgestalter des Systems und der daraus folgenden Veränderungen im Unternehmen eingebunden. Das resultierende System bildet die unternehmensübergreifenden Anforderungen von Instandhaltungsaufgaben in der Prozessindustrie technisch ab und ist an vorhandene IT-Infrastrukturen anpassbar. Die gewählte Vorgehensweise zur Einbindung der Mitarbeiter in der Gestaltung des Systems trug dazu bei, die unternehmens- und nutzerspezifischen Anforderungen in das System zu integrieren sowie die Mitarbeiter zu Eingabe bedarfsgerechter Assistenzinhalten zu befähigen.   A modular and portable maintenance assistance system was developed for four small and medium-sized process manufacturers in the research project CPPSProcessAssist. Along with the technological development of the system, a procedure for designing and implementing the system in the companies was developed. Shift workers and managers, project engineers, maintenance engineers and technology developers were involved in designing the system and implementing the ensuing changes in their companies. The resulting system technically maps cross-company requirements for maintenance work in process manufacturing and can be modified for existing IT infrastructures. The selected procedure for involving employees in the system design helped integrating specific company and user requirements in the system and enabling employees to enter content in the assistance system based on their needs.

Productivity Considerations in Face Milling

2019 ◽  
Vol 952 ◽  
pp. 66-73
Author(s):  
János Kundrák ◽  
Viktor Molnár ◽  
István Deszpoth ◽  
Tamás Makkai
Keyword(s):  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Face Milling ◽  
Manufacturing Companies ◽  
Performance Limits ◽  
Machining Time ◽  
High Productivity ◽  
Manufacturing Time

The kinematic versions and applied tools of milling allow for the machining of several surfaces and surface combinations, making it a versatile and widely applied procedure. Face milling for cutting is used for the high productivity manufacturing of prismatic components. Naturally, the enhancement of productivity is a primary goal for manufacturing companies; this study analyzes the efficiency of material removal, which directly influences the time parameters characterizing production performed by face milling. The focus of the paper is to identify the selection of technological data (feed, feed rate, cutting speed, diameter of milling head) that can reduce the machining time or increase the values of material removal rate. Cutting experiments were carried out for machining prismatic components from AlSi9Cu3(Fe) aluminum alloy by diamond tools. It was found that within the performance limits of the manufacturing system it is possible to save a significant amount of manufacturing time while retaining the specified geometric accuracy and surface quality of the component.

scholarly journals Hardware in the Loop Platform for Testing Photovoltaic System Control

2020 ◽  
Vol 10 (23) ◽  
pp. 8690
Author(s):  
Víctor Samano-Ortega ◽  
Alfredo Padilla-Medina ◽  
Micael Bravo-Sanchez ◽  
Elías Rodriguez-Segura ◽  
Alonso Jimenez-Garibay ◽  
...  
Keyword(s):  
Control Systems ◽  
Operating Conditions ◽  
Real System ◽  
Photovoltaic System ◽  
Hill Climbing ◽  
Integration Time ◽  
System Control ◽  
Hardware In The Loop ◽  
The Real ◽  
Point Tracking

The hardware in the loop (HIL) technique allows you to reproduce the behavior of a dynamic system or part of it in real time. This quality makes HIL a useful tool in the controller validation process and is widely used in multiple areas including photovoltaic systems (PVSs). This study presents the development of an HIL system to emulate the behavior of a PVS that includes a photovoltaic panel (PVP) and a DC-DC boost converter connected in series. The emulator was embedded into an NI-myRIO development board that operates with an integration time of 10 µs and reproduces the behavior of the real system with a mean percent error of 2.0478%, compared to simulation results. The implemented emulator is proposed as a platform for the validation of control systems. With it, the experimental stage is carried out on two controllers connected to the PVS without having the real system and allowing to emulate different operating conditions. The first controller is based on the Hill Climbing algorithm for the maximum power point tracking (MPPT), the second is a proportional integral (PI) controller for voltage control. Both controllers generate settling times of less than 3 s; the MPPT controller generates variations in the output in steady state inherent to the algorithm used. For both cases, the comparison of the experimental results with those obtained through software simulation show that the platform fulfills its usefulness when evaluating control systems.

Earth–Moon low energy trajectory optimization in the real system

2013 ◽  
Vol 51 (5) ◽  
pp. 917-929 ◽  
Author(s):  
Hanlun Lei ◽  
Bo Xu ◽  
Yisui Sun
Keyword(s):  
Trajectory Optimization ◽  
Low Energy ◽  
Real System ◽  
The Real

Simulation and Experimentation of a Precise Nonlinear Tracking Control Algorithm for a Rotary Servo-Hydraulic System With Minimum Sensors

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
M. H. Toufighi ◽  
S. H. Sadati ◽  
F. Najafi ◽  
A. A. Jafari
Keyword(s):  
Singular Perturbation ◽  
Hydraulic System ◽  
Control Algorithm ◽  
Small Error ◽  
Least Square ◽  
Real System ◽  
Singular Perturbation Theory ◽  
Control Analysis ◽  
Recursive Least Square ◽  
The Real

The dynamics of hydraulic systems involves slow and fast modes. These modes are associated with the mechanical components and those involving fluid flow, respectively. As such, controllers for electro-hydraulic servo systems (EHSS) can be designed and analyzed using singular perturbation theory. In this paper, a singular perturbation control (SPC) algorithm is proposed and investigated on a rotary EHSS modeled based on a two-time-scale behavior of the system. For modeling, the components of the hydraulic system, specifically the nonlinear model of the orifice in servo valve, are modeled. A mathematical modeling and nonlinear control analysis that validated by experiment is presented. The controlled system with the SPC algorithm tracks a fairly smooth trajectory with very small error. As well, the control algorithm is successfully verified by experiment as the main contribution of the paper. In addition, this is robust to variations in the hydraulic fluid bulk modulus such that only its nominal value is sufficient. Furthermore, the proposed control design will not require derivatives of the control pressures and any output acceleration feedback. Hence, it can be implemented easier in the real system setup. The controller design approach addresses the nonlinearities of the rotary EHSS. The parameters of the real system model are experimentally identified using the continuous recursive least square method.

Robust optimal attitude control of a laboratory helicopter without angular velocity feedback

Robotica ◽  
2014 ◽  
Vol 33 (2) ◽  
pp. 282-294 ◽  
Author(s):  
Hao Liu ◽  
Jianxiang Xi ◽  
Yisheng Zhong
Keyword(s):  
Angular Velocity ◽  
Attitude Control ◽  
Control Method ◽  
Linear Time ◽  
Real System ◽  
Velocity Feedback ◽  
The Real ◽  
Linear Time Invariant ◽  
Optimal Output ◽  
Asymptotic Tracking

SUMMARYIn this paper, the robust, optimal, output control problem is dealt with for a 3-degree-of-freedom laboratory helicopter. The control goal is to achieve the practical tracking of the desired elevation and pitch angles without the angular velocity feedback. A nominal linear time-invariant system is introduced and the real system is considered as the nominal one with uncertainties, including parameter perturbations, nonlinear time-varying uncertainties, and external disturbances. An observer is first used to estimate angular velocity. Then a nominal controller based on the optimal control method is designed for the nominal system to achieve the desired tracking properties. Lastly, a robust output compensator is added to restrain the effects of uncertainties in the real system. It is shown that asymptotic tracking properties and robust stability can be achieved. Experimental results on the laboratory helicopter are shown to verify the effectiveness of the proposed control method.

scholarly journals A novel similarity measure for mining missing links in long-path networks

2021 ◽  
Author(s):  
Yijun Ran ◽  
Tianyu Liu ◽  
Tao Jia ◽  
Xiao-Ke Xu
Keyword(s):  
Link Prediction ◽  
Real Life ◽  
Structural Evolution ◽  
Poor Performance ◽  
Real System ◽  
Machine Learning Techniques ◽  
Information Mining ◽  
The Real ◽  
Network Information ◽  
Maximal Information Coefficient

Abstract Network information mining is the study of the network topology, which may answer a large number of application-based questions towards the structural evolution and the function of a real system. The question can be related to how the real system evolves or how individuals interact with each other in social networks. Although the evolution of the real system may seem to be found regularly, capturing patterns on the whole process of evolution is not trivial. Link prediction is one of the most important technologies in network information mining, which can help us understand the evolution mechanism of real-life network. Link prediction aims to uncover missing links or quantify the likelihood of the emergence of nonexistent links from known network structures. Currently, widely existing methods of link prediction almost focus on short-path networks that usually have a myriad of close triangular structures. However, these algorithms on highly sparse or long-path networks have poor performance. Here, we propose a new index that is associated with the principles of Structural Equivalence and Shortest Path Length (SESPL) to estimate the likelihood of link existence in long-path networks. Through 548 real networks test, we find that SESPL is more effective and efficient than other similarity-based predictors in long-path networks. Meanwhile, we also exploit the performance of SESPL predictor and of embedding-based approaches via machine learning techniques. The results show that the performance of SESPL can achieve a gain of 44.09% over GraphWave and 7.93% over Node2vec. Finally, according to the matrix of Maximal Information Coefficient (MIC) between all the similarity-based predictors, SESPL is a new independent feature in the space of traditional similarity features.

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