Manufacturing Execution Systems And A Sectoral Application

2017 ◽  
Vol 1 (2) ◽  
pp. 73
Author(s):  
Güner Çelikkaya
Keyword(s):  
Information Systems ◽  
Manufacturing Systems ◽  
Software Process ◽  
Competitive Environment ◽  
Process Time ◽  
Accurate Data ◽  
Production Processes ◽  
Manufacturing Execution Systems ◽  
Integrated Software ◽  
Manufacturing Execution

<p class="KeywordsText">       Information systems have widespread usage on Manufacturing Systems. Most companies need tracking production processes with information systems to become prominent in highly competitive environment. There are some specific metrics need to be followed and important to access these datas on time and also should be reliable. These metrics include all manufacturing and quality processes. In this context; efficiency, line stoppages, malfunction and interruptions, body and supplied part trace ability informations are needed. This study MES (Manufacturing Execution Systems) is the system developed for tracking production processes. MES is working from receipt of order to delivery of the product that are the essentials for the production activities to achieve real time status of all manufacturing data. In this way, all information which not manually recorded or takes long process time to record or can be tracked instantaneously and these records can be reached and analyzed in the future. The system also provides accurate data for us. In this study all phases from design to implementation of an automotive subindustry firm’s MES application designed based on integrated software process requirements are depicted. Relevant system’s integrated software will be implemented to Module Line. This study will allow tracking related product’s all process, decision making and traceability data with serial numbers.</p>

Functionalities and Position of Manufacturing Execution Systems

2011 ◽  
pp. 2760-2767
Author(s):  
Vladimír Modrák
Keyword(s):  
Information Systems ◽  
Manufacturing Systems ◽  
Manufacturing Management ◽  
Manufacturing Execution Systems ◽  
Generic Character ◽  
Manufacturing Execution

Efforts to separate unequivocally substantial signs of versatile tools of manufacturing management are usually marked by a narrowed view of the field of their use. Similarly, it is so also in the case of specifying the functionality and position of MES (Manufacturing Execution Systems) in the hierarchy of information systems. Presentations generalising MES in this field do not always correspond with models that have a generic character. For that reason it appears useful to investigate the mentioned MES characteristics from a number of angles, and particularly in relation with the basic types of manufacturing systems.

Functionalities and Position of Manufacturing Execution Systems

2005 ◽  
pp. 1243-1248 ◽  
Author(s):  
Vladimír Modrák
Keyword(s):  
Information Systems ◽  
Manufacturing Systems ◽  
Manufacturing Management ◽  
Manufacturing Execution Systems ◽  
Generic Character ◽  
Manufacturing Execution

Efforts to separate unequivocally substantial signs of versatile tools of manufacturing management are usually marked by a narrowed view of the field of their use. Similarly, it is so also in the case of specifying the functionality and position of MES (Manufacturing Execution Systems) in the hierarchy of information systems. Presentations generalising MES in this field do not always correspond with models that have a generic character. For that reason it appears useful to investigate the mentioned MES characteristics from a number of angles, and particularly in relation with the basic types of manufacturing systems.

Reconfigurable Manufacturing Execution Systems Based on Model-Driven Architecture

2006 ◽  
Vol 532-533 ◽  
pp. 1072-1075 ◽  
Author(s):  
Yong Sheng Chai ◽  
Quan Bin Wang ◽  
Yu Lan Zhou ◽  
Bin Zhu
Keyword(s):  
Information Integration ◽  
Reconfigurable Manufacturing ◽  
Model Driven Architecture ◽  
Model Driven ◽  
Production Processes ◽  
Manufacturing Execution Systems ◽  
Business Analysis ◽  
System Of Plan ◽  
Manufacturing Execution

By analyzing the trend of MES (Manufacturing Execution Systems), the concept of RMES (Reconfigurable Manufacturing Execution Systems) is put forward, which takes information integration as groundwork, aims at optimization of production processes and supports organizations, resources and processes for flexible conFig.. MDA (Model-driven Architecture) is introduced to provide more flexible in the process of the development of RMES, which would adapt to different technology used by the bottom systems and provide a more effective method to build RMES. During the development of RMES, many models are created, such as the model of business analysis, the model of components and the model of deployment. An instance of the system of plan, part of RMES, is presented to show how MDA used in the process of the development of RMES. Later, an application is given to show that RMES based on MDA can decrease the costs of development and maintenance for fitting the evolution of the enterprise.

scholarly journals Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2040
Author(s):  
Xinyu Chen ◽  
Christoph Nophut ◽  
Tobias Voigt
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Processes ◽  
Engineering Process ◽  
Model Driven ◽  
Beverage Industry ◽  
Manufacturing Execution Systems ◽  
Food And Beverage Industry ◽  
Food And Beverage ◽  
Model Driven Approach ◽  
Manufacturing Execution

Manufacturing Execution Systems (MES) are process-oriented information-technology (IT) solutions for collecting and managing information from manufacturing processes. Due to the individual programming effort and the complex integration with other manufacturing systems, though the food and beverage manufacturers can benefit from the MES, its implementation is not widespread in this industry. To simplify the implementation and engineering process, the concept of model-driven engineering (MDE) is considered as a solution. However, a feasible model-driven approach for MES engineering has not been established, not to mention for the food and beverage industry. This paper presents an approach for the automatic MES generation according to the MDE concept providing MES functions that are relevant to the food and beverage manufacturing processes primarily. It consists of necessary phases to cover the whole engineering process of the MES. Based on the application of the presented approach to the brewing process in a brewhouse, the feasibility and practicality of this approach were proven.

scholarly journals The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES)

2016 ◽  
Vol 3 (4) ◽  
pp. 16-21 ◽  
Author(s):  
Francisco Almada-Lobo
Keyword(s):  
Cloud Computing ◽  
Paradigm Shift ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Control ◽  
Shop Floor ◽  
Manufacturing Execution Systems ◽  
The Future ◽  
Smart Factories ◽  
Manufacturing Execution

Industry 4.0 dictates the end of traditional centralized applications for production control. Its vision of ecosystems of smart factories with intelligent and autonomous shop-floor entities is inherently decentralized. Responding to customer demands for tailored products, these plants fueled by technology enablers such as 3D printing, Internet of Things, Cloud computing, Mobile Devices and Big Data, among others create a totally new environment. The manufacturing systems of the future, including manufacturing execution systems (MES) will have to be built to support this paradigm shift.

Privacy after the Agile Turn

2017 ◽  
Author(s):  
Seda Gurses ◽  
Joris Vredy Jan van Hoboken
Keyword(s):  
Information Systems ◽  
Software Industry ◽  
Data Driven ◽  
Dynamic Nature ◽  
Privacy Regulation ◽  
Research And Practice ◽  
Production Processes ◽  
Regulatory Frameworks ◽  
Software And Hardware ◽  
New Challenges

Moving beyond algorithms and big data as starting points for discussions about privacy, the authors of Privacy After the Agile Turn focus our attention on the new modes of production of information systems. Specifically, they look at three shifts that have transformed most of the software industry: software is now delivered as services, software and hardware have moved into the cloud and software’s development is ever more agile. These shifts have altered the conditions for privacy governance, and rendered the typical mental models underlying regulatory frameworks for information systems out-of-date. After 'the agile turn', modularity in production processes creates new challenges for allocating regulatory responsibility. Privacy implications of software are harder to address due to the dynamic nature of services and feature development, which undercuts extant privacy regulation that assumes a clear beginning and end of production processes. And the data-driven nature of services, beyond the prospect of monetization, has become part of software development itself. With their focus on production, the authors manage to place known challenges to privacy in a new light and create new avenues for privacy research and practice.

scholarly journals Application of the Deep CNN-Based Method in Industrial System for Wire Marking Identification

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3659
Author(s):  
Andrzej Szajna ◽  
Mariusz Kostrzewski ◽  
Krzysztof Ciebiera ◽  
Roman Stryjski ◽  
Waldemar Woźniak
Keyword(s):  
Production Process ◽  
Process Development ◽  
Process Time ◽  
Industrial System ◽  
Assembly Process ◽  
Production Environment ◽  
Deep Convolutional Neural Networks ◽  
Control Cabinet ◽  
Production Processes ◽  
The Wire

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th anniversary in 2021. Still, the digitalization of the production environment is one of the hottest topics in the computer science departments at universities and companies. Optimization of production processes or redefinition of the production concepts is meaningful in light of the current industrial and research agendas. Both the mentioned optimization and redefinition are considered in numerous subtopics and technologies. One of the most significant topics in these areas is the newest findings and applications of artificial intelligence (AI)—machine learning (ML) and deep convolutional neural networks (DCNNs). The authors invented a method and device that supports the wiring assembly in the control cabinet production process, namely, the Wire Label Reader (WLR) industrial system. The implementation of this device was a big technical challenge. It required very advanced IT technologies, ML, image recognition, and DCNN as well. This paper focuses on an in-depth description of the underlying methodology of this device, its construction, and foremostly, the assembly industrial processes, through which this device is implemented. It was significant for the authors to validate the usability of the device within mentioned production processes and to express both advantages and challenges connected to such assembly process development. The authors noted that in-depth studies connected to the effects of AI applications in the presented area are sparse. Further, the idea of the WLR device is presented while also including results of DCNN training (with recognition results of 99.7% although challenging conditions), the device implementation in the wire assembly production process, and its users’ opinions. The authors have analyzed how the WLR affects assembly process time and energy consumption, and accordingly, the advantages and challenges of the device. Among the most impressive results of the WLR implementation in the assembly process one can be mentioned—the device ensures significant process time reduction regardless of the number of characters printed on a wire.

scholarly journals Manufacturing Execution Systems: Examples of Performance Indicator and Operational Robustness Tools

2016 ◽  
Vol 70 (9) ◽  
pp. 616-620
Author(s):  
Yannick Gendre ◽  
Gérard Waridel ◽  
Myrtille Guyon ◽  
Jean-François Demuth ◽  
Hervé Guelpa ◽  
...  
Keyword(s):  
Performance Indicator ◽  
Manufacturing Execution Systems ◽  
Manufacturing Execution

Fault Diagnosis and Reliability Growth for Information System

2014 ◽  
Vol 590 ◽  
pp. 763-767
Author(s):  
Zhi Hui Huang
Keyword(s):  
Information System ◽  
Bayesian Network ◽  
System Reliability ◽  
Functional Module ◽  
Decision Problems ◽  
Reliability Growth ◽  
Failure Data ◽  
Manufacturing Execution Systems ◽  
Growth Planning ◽  
Manufacturing Execution

This paper aiming at the zero-failure data and uncertain-decision problems exist in the information system reliability growth process, it proposes to build the Bayesian network topology of FMEA. It adopts Leaky Noisy-OR model, and it analyses the probability that the subsystem functional module will go wrong in quantity. It solves the problem of identifying the vague and incomplete information exists in the complex system rapidly and accurately, laying the foundation for further study of the reliability growth comprehensive ability assessment of system based on the Bayesian network. In this paper, on the background of Manufacturing Execution Systems (MES) engineering, aimed at research on models and evaluation methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods, it proposes the goal of MES reliability growth planning.

Die synchrone Produktion*/Synchronous manufacturing - An approach for semi-autonomous production planning and control and human-based decision support

2015 ◽  
Vol 105 (04) ◽  
pp. 204-208
Author(s):  
D. Kreimeier ◽  
E. Müller ◽  
F. Morlock ◽  
D. Jentsch ◽  
H. Unger ◽  
...  
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Production Planning ◽  
Data Exchange ◽  
Production Control ◽  
Production Planning And Control ◽  
Planning And Control ◽  
Manufacturing Execution Systems ◽  
And Control ◽  
Manufacturing Execution

Kurzfristige sowie ungeplante Änderungen – wie Auftragsschwankungen, Maschinenausfälle oder Krankheitstage der Mitarbeiter – beeinflussen die Produktionsplanung und -steuerung (PPS) von Industriefirmen. Trends wie Globalisierung und erhöhter Marktdruck verstärken diese Probleme. Zur Komplexitätsbewältigung bei der Entscheidungsfindung zur Fertigungssteuerung kommen in der Produktion Werkzeuge der „Digitalen Fabrik“, beispielsweise Simulationsprogramme, oder IT (Informationstechnologie)-Lösungen, wie Manufacturing Execution Systems (MES), zum Einsatz. Eine Verknüpfung dieser Bereiche würde einen echtzeitfähigen Datenaustausch erlauben, der wiederum eine echtzeitfähige Entscheidungsunterstützung bietet. Der Fachbeitrag stellt hierfür einen Lösungsansatz vor. &nbsp; Sudden and unsystematic changes, such as fluctuations in order flow, machine failures, or employee sick days affect the Production Planning and Control (PPC) activities of industrial companies. Trends like globalization and increased market pressure intensify these problems. To master the complexity of decision-making in production control, tools of the digital factory (e.g. simulation systems) or IT systems (e.g. Manufacturing Execution Systems (MES)) are applied in manufacturing. Combining these areas would enable real-time capable data exchange which, in turn, provides real-time capable decision support. This article presents an approach for solving this problem.

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