Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis

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.

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

wt Werkstattstechnik online ◽

10.37544/1436-4980-2015-04-46 ◽

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.   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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Modeling a holonic agent based solution by Petri nets

Computer Science and Information Systems ◽

10.2298/csis111223031p ◽

2012 ◽

Vol 9 (3) ◽

pp. 1287-1305 ◽

Cited By ~ 8

Author(s):

Carlos Pascal ◽

Doru Panescu

Keyword(s):

Resource Allocation ◽

Petri Nets ◽

Petri Net ◽

Coordination Mechanisms ◽

Allocation Mechanism ◽

Simulation Experiments ◽

Agent Based ◽

Manufacturing Execution Systems ◽

Resource Allocation Mechanism ◽

Manufacturing Execution

One of the key design issues for distributed systems is to find proper planning and coordination mechanisms when knowledge and decision capabilities are spread along the system. This contribution refers holonic manufacturing execution systems and highlights the way a proper modeling method - Petri nets - makes evident certain problems that can appear when agents have to simultaneously treat more goals. According to holonic organization the planning phase is mainly dependent on finding an appropriate resource allocation mechanism. The type of weakness is established by means of the proposed Petri net models and further proved by simulation experiments. A solution to make the holonic scheme avoid a failure in resource allocation is mentioned, too.

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VOCATIONAL SCHOOL LABORATORY ON THE BASIS OF CYBER SECURITY IN THE FIELD OF THE INTERNET OF THINGS (IOT)

Вестник ГГНТУ. Гуманитарные и социально-экономические науки ◽

10.34708/gstou.2019.18.4.018 ◽

2019 ◽

Author(s):

Э.Д. Алисултанова ◽

Л.К. Хаджиева ◽

М.З. Исаева

Keyword(s):

Internet Of Things ◽

Cyber Security ◽

Legal Aspects ◽

Smart Manufacturing ◽

The Internet ◽

Iot Security ◽

Career Opportunities ◽

School Laboratory ◽

Basic Ideas ◽

The Internet Of Things

Данная статья посвящена созданию профориентационной (умной) лаборатории, которая призвана сформировать у школьников базовые представления о технологии Интернет вещей (IoT), угрозах кибербезопасности в этой сфере, мотивировать к получению в будущем профильного образования и построению карьеры в области обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. Обучение школьников в профориентационной лаборатории, построенное на основе применения интерактивных электронных образовательных ресурсов, прежде всего будет позиционировать карьерные возможности будущих специалистов в сфере обеспечения безопасности Интернет вещей (IoT) при функционировании умного производства. В рамках функционирования лаборатории особое внимание обучающихся сконцентрировано на тематиках правовых аспектов обеспечения кибербезопасности, главных тенденциях развития киберугроз в современном глобальном информационном пространстве и мерах, необходимых для их нейтрализации. This article is devoted to the creation of a career-oriented (smart) laboratory, which is designed to formulate in schoolchildren basic ideas about the Internet of Things (IoT) technology, cyber security threats in this area, motivate to receive specialized education in the future and build a career in the field of Internet things (IoT) security) with the functioning of smart manufacturing. The training of schoolchildren in a vocational guidance laboratory, based on the use of interactive electronic educational resources, will primarily position the career opportunities of future specialists in the field of Internet of Things (IoT) security in the operation of smart manufacturing. Within the framework of the functioning of the laboratory, special attention of students is concentrated on the topics of the legal aspects of ensuring cyber security, the main trends in the development of cyber threats in the modern global information space and the measures necessary to neutralize them.

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Middleware Application, Suitable to Build an Automated and Connected Smart Manufacturing Environment

10.5772/intechopen.97397 ◽

2021 ◽

Author(s):

Muzaffar Rao ◽

Thomas Newe

Keyword(s):

Mobile Robots ◽

Industry 4.0 ◽

Manufacturing Systems ◽

Smart Manufacturing ◽

Manufacturing Execution System ◽

Manufacturing Environment ◽

Industrial Internet ◽

A Cell ◽

Smart Industry ◽

Manufacturing Execution

The current manufacturing transformation is represented by using different terms like; Industry 4.0, smart manufacturing, Industrial Internet of Things (IIoTs), and the Model-Based enterprise. This transformation involves integrated and collaborative manufacturing systems. These manufacturing systems should meet the demands changing in real-time in the smart factory environment. Here, this manufacturing transformation is represented by the term ‘Smart Manufacturing’. Smart manufacturing can optimize the manufacturing process using different technologies like IoT, Analytics, Manufacturing Intelligence, Cloud, Supplier Platforms, and Manufacturing Execution System (MES). In the cell-based manufacturing environment of the smart industry, the best way to transfer the goods between cells is through automation (mobile robots). That is why automation is the core of the smart industry i.e. industry 4.0. In a smart industrial environment, mobile-robots can safely operate with repeatability; also can take decisions based on detailed production sequences defined by Manufacturing Execution System (MES). This work focuses on the development of a middleware application using LabVIEW for mobile-robots, in a cell-based manufacturing environment. This application works as middleware to connect mobile robots with the MES system.

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