scholarly journals Implementation Criteria for Intelligent Systems in Motor Production Line Process Management

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 537 ◽  
Author(s):  
Yao-Chin Lin ◽  
Ching-Chuan Yeh ◽  
Wei-Hung Chen ◽  
Kai-Yen Hsu
Keyword(s):  
Production Line ◽  
Intelligent Systems ◽  
Process Management ◽  
Assembly Line ◽  
Intelligent System ◽  
Secondary Data ◽  
Robot Arm ◽  
Production Lines ◽  
Line Process ◽  
Motor Production

In this study, the factors that affect the implementation of intelligent systems in motor production lines are analyzed. A motor production line located in Vietnam is used as the research object. The research methods include secondary data collection, field study, and interviews. This study demonstrates the following: firstly, the implementation of intelligent systems in motor production lines is heading toward Industry 4.0. Secondly, it is proposed that three functional systems—robot arm, image recognition, and big data analysis—can be introduced in the motor production line. This study analyzes the process involved in coil and motor production lines and attempts to combine intelligent system functions. It is expected that in the future, manpower will be reduced, production line productivity will increase, and intelligent production lines will be proposed. The factors that affect the introduction of intelligent systems in motor production lines are improved, and the importance of intelligent systems, which has been rarely considered in previous studies, is highlighted. In the implementation criteria of the intelligent system in the process management of the motor production line, this study provides some suggestions (to coil and motor assembly line) for the production process management. These suggestions can be provided as a reference for production lines that acquaint with intelligent systems.

scholarly journals The Use of Big Data for Sustainable Development in Motor Production Line Issues

2020 ◽  
Vol 12 (13) ◽  
pp. 5323
Author(s):  
Yao-Chin Lin ◽  
Ching-Chuan Yeh ◽  
Wei-Hung Chen ◽  
Wei-Chun Liu ◽  
Jyun-Jie Wang
Keyword(s):  
Big Data ◽  
Production Line ◽  
Big Data Analytics ◽  
Secondary Data ◽  
Smart Manufacturing ◽  
Production Lines ◽  
Core Technology ◽  
Expert Interview ◽  
Industry Sustainability ◽  
Motor Production

This study explores big data gathered from motor production lines to gain a better understanding of production line issues. Motor products from Solen Electric Company’s motor production lines were used to predict failure points based on big data analytics, where 3606 datapoints from the company’s testing equipment were statistically analyzed. The current study focused on secondary data and expert interview results to further define the relevant statistical dimensions. Only 14 of the original 88 detection parameters were required for monitoring the production line. The relationships between these parameters and the relevant motor components were established to indicate how an abnormal reading may be interpreted to quickly resolve an issue. Thus, a theoretical model for the monitoring of the motor production line was proposed. Further implications and practical suggestions are also offered to improve the production lines. This study explores big data analysis and smart manufacturing and demonstrates the promise of these technologies in improving production line efficiency and reducing waste to promote sustainable production goals. Big data thus constitute the core technology for advancing production lines into Industry 4.0 and promoting industry sustainability.

Autonomous Assembly Process Planning According to the Production Line Configuration

2015 ◽  
Vol 9 (3) ◽  
pp. 261-269 ◽  
Author(s):  
Yasuhiro Sudo ◽  
◽  
Michiko Matsuda
Keyword(s):  
Production Line ◽  
Degrees Of Freedom ◽  
Assembly Line ◽  
Assembly Process ◽  
Production Lines ◽  
Virtual Production ◽  
Line Configuration ◽  
Autonomous Assembly ◽  
Simulation Results ◽  
Rewriting Rules

In this study, a virtual production line is used to present a method for generating assembly process-relational plans for a product according to the configurations of the production line and verify the effectiveness of the proposed method. In an autonomous production system, process-relational plans are generated dynamically by agents based on process-relation graphs. Usually, such process-relation graphs are not determined uniquely and often have some degrees of freedom. Therefore, more practical and efficient assembly process-relational plans would be obtained if process-relation graphs were rewritten according to changes in the configurations of actual production lines. In the proposed method, process-relation graphs are rewritten dynamically by agents using two simple rewriting rules. The results from simulations on a virtual assembly line provided that the progress of the assembly job differs with the quantities of invested jobs and machine layouts. Accordingly, the simulation results prove the usefulness of rewriting process-relation graphs according to the configurations of actual shop floors.

scholarly journals Analisis Kinerja Lini Produksi Baju di PT Efrata Retailindo Menggunakan Metode Six-Sigma

2018 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Muhammad Imam Al Islaminudin ◽  
Hidajat Hendarsjah
Keyword(s):  
Six Sigma ◽  
Production Line ◽  
Production Management ◽  
Secondary Data ◽  
Point Of View ◽  
Production Flow ◽  
Production Lines ◽  
Average Performance ◽  
Sigma Point

This study purposed to analyze the performance of clothing production lines in PT Efrata Retailindo and give some advice of improvement to production management of PT Efrata Retailindo. the result of this analyze is expected to inform the production management abaout the factual performance of production line proccess and give some advice that can be use by the production management. this research uses secondary data that is the production flow, and number of inspected product and defect, which is obtained from the recording of production management with the permission of person in charge in production management PT Efrata Retailindo. Data analyze that used are six-sigma method in proccess approach. the result of this research are the level sigma of clothing production line, and the advice about improvement that can be applied on production line. based on the measure phase of six-sigma method there are three critical to quality that affect some amount of defect. so that, on the analyze phase of six-sigma method, the level sigma of the production line categorized as an average performance in six-sigma point of view.

AN INTRODUCTION TO AN EGOCENTRIC CONCEPT OF MACHINE INTELLIGENCE

1999 ◽  
Vol 08 (03) ◽  
pp. 313-336 ◽  
Author(s):  
RUDOLPH PIENNAR ◽  
JOHAN J. KRUGER
Keyword(s):  
System Design ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Physical Nature ◽  
Machine Intelligence ◽  
Robot Arm ◽  
Fundamental Building Block ◽  
Robot Arm Control ◽  
And Behavior ◽  
Physiological Research

Intimate to the functioning and behavior of intelligent systems is the manner in which information is represented internally. The conventional approach to intelligent system design assumes a particular bias in the manner by which this information is represented. Typically, this is characterized by an "abstract" or "objective" design methodology which holds that intelligence is not a function of the physical nature of the system. Such an approach suffers from several shortcomings, most notably problems relating to scaling and complexity. Recent physiological research, however, has demonstrated that physical bodily form is a fundamental building block in the organization of mammalian cortical structures. Consequently, this article explores such a biologically motivated "subjective" or "egocentric" approach to system design, and demonstrates its utility in a simple robot arm control problem.

Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

2019 ◽  
pp. 21-30
Author(s):  
M. G. Koliada ◽  
T. I. Bugayova
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Interaction Analysis ◽  
Educational Data Mining ◽  
Main Task ◽  
Intellectual System ◽  
Will Force ◽  
To Come ◽  
Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

scholarly journals Theoretical, Measured, and Subjective Responsibility in Aided Decision Making

2021 ◽  
Vol 11 (1) ◽  
pp. 1-37
Author(s):  
Nir Douer ◽  
Joachim Meyer
Keyword(s):  
Intelligent Systems ◽  
Intelligent System ◽  
Classification Systems ◽  
Strongly Correlated ◽  
Human Capabilities ◽  
Legal Decisions ◽  
Subjective Perceptions ◽  
Causal Responsibility ◽  
Quantification Model ◽  
Human Responsibility

When humans interact with intelligent systems, their causal responsibility for outcomes becomes equivocal. We analyze the descriptive abilities of a newly developed responsibility quantification model (ResQu) to predict actual human responsibility and perceptions of responsibility in the interaction with intelligent systems. In two laboratory experiments, participants performed a classification task. They were aided by classification systems with different capabilities. We compared the predicted theoretical responsibility values to the actual measured responsibility participants took on and to their subjective rankings of responsibility. The model predictions were strongly correlated with both measured and subjective responsibility. Participants’ behavior with each system was influenced by the system and human capabilities, but also by the subjective perceptions of these capabilities and the perception of the participant's own contribution. A bias existed only when participants with poor classification capabilities relied less than optimally on a system that had superior classification capabilities and assumed higher-than-optimal responsibility. The study implies that when humans interact with advanced intelligent systems, with capabilities that greatly exceed their own, their comparative causal responsibility will be small, even if formally the human is assigned major roles. Simply putting a human into the loop does not ensure that the human will meaningfully contribute to the outcomes. The results demonstrate the descriptive value of the ResQu model to predict behavior and perceptions of responsibility by considering the characteristics of the human, the intelligent system, the environment, and some systematic behavioral biases. The ResQu model is a new quantitative method that can be used in system design and can guide policy and legal decisions regarding human responsibility in events involving intelligent systems.

Tackling Means for Balancing the Production Lines

2011 ◽  
Vol 383-390 ◽  
pp. 4620-4628
Author(s):  
Olga Ioana Amariei ◽  
Codruţa Oana Hamat ◽  
Liviu Coman ◽  
Cristian Fănică ◽  
Cristian Rudolf
Keyword(s):  
Production Line ◽  
Idle Time ◽  
Computer Method ◽  
Basic Method ◽  
Assembly Lines ◽  
Production Lines ◽  
Heuristic Techniques ◽  
Human Operators

Balancing a production line means to organize the activity of the human operators, to establish the production flux and designing the line, minimizing the idle time for the machines and the operators, through an optimal charge bestowed upon them. WinQSB software offers three methods of solving this type of problem, namely: heuristic techniques (a basic method is specified and an alternative one from all the available ones), Optimizing Best Bud Search and Computer Method of Sequencing Operations for Assembly Lines, presented all in the present paper.

The Study and Application of the Nitrile Gloves’ Production Line’s Online Measurement

2015 ◽  
Vol 727-728 ◽  
pp. 804-808
Author(s):  
Jian Jun Cai ◽  
Jian Bing Han ◽  
Su Qin Qu
Keyword(s):  
Temperature Measurement ◽  
Real Time ◽  
Temperature Sensor ◽  
Production Line ◽  
Moving Objects ◽  
Mold Temperature ◽  
Configuration Software ◽  
Online Measurement ◽  
Line Process ◽  
Tracking Technology

In order to solve the problem of the hand module’s online temperature measurement in Nitrile glove production line process, we have developed a set of moving objects or device used for online temperature measurement. The device is mounted infrared temperature sensor, by using PLC-controlled synchronous tracking technology it can track the hand module in the production line, so it can ensure the infrared temperature sensor and hand module synchronously measure its temperature correctly. By using configuration software kingview, we have developed mold temperature monitoring online measurement interface, real-time monitoring of the mold temperature opponents. After analysis of experimental results we concluded that the device work stable, acquisition of temperature reliably, so it has a promotional value.

Sign in / Sign up

Export Citation Format

Share Document