Iot-based architecture to improve workflow in bricks manufacturing (original) (raw)

Towards Smart Factory : Multi-Agent Using Internet of Things to Ensure Quality Manufacturing

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019

The development of Business 4.0 and the growth of the informed generation point thought, the traditional thinking of building frameworks can change. Internet of Points (IoT) is easily increasing innovation. IoT is the device of bodily posts or points put with tools, coding, devices, and program system, which empowers these materials to get and industry information. As maybe it's managed from wherever of the entire world with internet accessibility applying a lightweight software, it'd decline the individual money needed to perform an industry. It'd assistance with the managing of the building types, finding of the error in the platform and managing of the era charge depending on the buyer intrigue. Furthermore the usage of current tests for government organized contemporary communication platform by OPC-UA and for semantic data industry via AutomationML allows current plans to knowledge the necessary accessibility and interoperability for astute co-task that may admit self-X volumes of shrewd running plants.

Internet of things enabled manufacturing: a review

International Journal of Agile Systems and Management

Internet of things (IoT) plays an important role in the manufacturing sector, allowing objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and therefore resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. With the worldwide spread of Industry 4.0, IoT-enabled manufacturing is now one of the key supports to smart factory, intelligent automation, and real-time adaptive decision-makings. This paper comprehensively reviews related technologies and worldwide movements so that insights and lessons could be useful for academia and practitioners when contemplating IoT technologies for upgrading and transforming traditional manufacturing into an new future in the context of Industry 4.0.

DEVELOP INTERNET OF THINGS TECHNOLOGY FOR MANUFACTURING AUTOMATION

Thesis, 2015

Currently, the main challenges facing manufacturing automation is how to integrate the ERP system closely with the shop-floor so that anufacturers can achieve real-time visibility of the status of the manufacturing esources on the shop-floor. Process data are being collected and inputted manually into ERP system; this process is prone to error and time consuming. This has led to lack of timely and accurate information about the status of manufacturing resources on the shop-floor. Internet of Things based technology solution is used to assist manufacturing automation in a selected case of valve manufacturing in order to address these challenges. Internet of Things technology solution relies on RFID and wireless sensor technology for real-time tracing and tracking of manufacturing resources. Manufacturing resources (Operators, machines, work piece carrier, etc.) are equipped with Auto-ID devices and user interface of manufacturing execution system (MES) is provided on the shop floor so that operators can send real-time updates about their operations to ERP system. The research reported in this thesis demonstrates how Internet of Thing based technology solution can be used to overcome the challenges of real-time visibility of the status of the manufacturing resources by offering real-time information capturing from the shop-floor by Auto-ID devices and seamless integration of ERP system and MES with the shop-floor

Internet of Things in Automated Production

European Journal of Engineering Research and Science, 2017

Industry 4.0 is being presented as the fourth industrial revolution in which intelligent machines, advanced sensors, and smart logistic networks and suppliers will be connected to the internet of things. Such an intelligent network would create a cyber-physical system that scan store all of the supply chain data in the cloud and allow access to these data through different devices connected to the internet. Thus, the factory of the future could be established. This project proposes the creation of a manufacturing cell at the shop floor level based on the concepts of Industry 4.0. The effects on production of industry 4.0 emerging with this mind is very important. Therefore, the impacts in production of industry 4.0 are examined in this paper.

Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory

Frontiers in ICT, 2019

Research advances in the last decades have allowed the introduction of Internet of Things (IoT) concepts in several industrial application scenarios, leading to the so-called Industry 4.0 or Industrial IoT (IIoT). The Industry 4.0 has the ambition to revolutionize industry management and business processes, enhancing the productivity of manufacturing technologies through field data collection and analysis, thus creating real-time digital twins of industrial scenarios. Moreover, it is vital for companies to be as "smart" as possible and to adapt to the varying nature of the digital supply chains. This is possible by leveraging IoT in Industry 4.0 scenarios. In this paper, we describe the renovation process, guided by things2i s.r.l., a cross-disciplinary engineering-economic spin-off company of the University of Parma, which a real manufacturing industry is undergoing over consecutive phases spanning a few years. The first phase concerns the digitalization of the control quality process, specifically related to the company's production lines. The use of paper sheets containing different quality checks has been made smarter through the introduction of a digital, smart, and Web-based application, which is currently supporting operators and quality inspectors working on the supply chain through the use of smart devices. The second phase of the IIoT evolution-currently ongoing concerns both digitalization and optimization of the production planning activity, through an innovative Web-based planning tool. The changes introduced have led to significant advantages and improvement for the manufacturing company, in terms of: (i) impressive cost reduction; (ii) better products quality control; (iii) real-time detection and reaction to supply chain issues; (iv) significant reduction of the time spent in planning activity; and (v) resources employment optimization, thanks to the minimization of unproductive setup times on production lines. These two renovation phases represent a basis for possible future developments, such us the integration of sensor-based data on the operational status of production machines and the currently available warehouse supplies. In conclusion, the Industry 4.0-based ongoing digitization process guided by things2i allows to continuously collect heterogeneous Human-to-Things (H2T) data, which can be used to optimize the partner manufacturing company as a whole entity.

Improving Just-in-Time Manufacturing Operations by Using Internet of Things Based Solutions

Procedia CIRP, 2016

Just in time (JIT) manufacturing is one of the main methodologies used to enhance manufacturers' competitiveness through inventory and lead time reduction. However implementing JIT has some challenges, e.g. lack of required information sharing or communication between stakeholders, insufficient sound action or planning system etc. Internet of Things (IoT) technology has the potential to be used for acquiring data and information in real time to facilitate dynamic JIT manufacturing. This paper presents a research on using IoT based solution to enhance JIT manufacturing. The general challenges of JIT implementation are identified first, then an IoT based solution is proposed to address the JIT challenges in a selected case study. A framework to support the proposed IoT solution is developed and its implementation steps are suggested.

Internet of Things for Smart Factories in Industry 4.0, A Review

2024

The Internet of Things (IoT) is playing a significant role in the transformation of traditional factories into smart factories in Industry 4.0 by using network of interconnected devices, sensors, and software to monitor and optimize the production process. Predictive maintenance using the IoT in smart factories can also be used to prevent machine failures, reduce downtime, and extend the lifespan of equipment. To monitor and optimize energy usage during part manufacturing, manufacturers can obtain real-time insights into energy consumption patterns by deploying IoT sensors in smart factories. Also, IoT can provide a more comprehensive view of the factory environment to enhance workplace safety by identifying potential hazards and alerting workers to potential dangers. Suppliers can use IoT-enabled tracking devices to monitor shipments and provide real-time updates on delivery times and locations in order to analyze and optimize the supply chain in smart factories. Moreover, IoT is a powerful technology which can optimize inventory management in smart factories to reduce costs, improve efficiency, and provide real-time visibility into inventory levels and movements. To analyze and enhance the impact of internet of thing in smart factories of industry 4.0, a review is presented. Applications of internet of things in smart factories such as predictive maintenance, asset tracking, inventory management, quality control, production process monitoring, energy efficiency and supply chain optimization are reviewed. Thus, by analyzing the application of IoT in smart factories of Industry 4.0, new ideas and advanced methodologies can be provided to improve quality control and optimize part production processes.

A Review on Internet of Things in Manufacturing Industries

mantech publications, 2023

In today's rapidly changing manufacturing industry scenario, implementing the Internet of Things is essential for a manufacturing unit to respond effectively and work efficiently. Internet of Things is a system of sensing, processing and interacting among devices to transfer data over a network without any human to human or human to machine interaction anytime and from anywhere. Internet of Things can collect data in real time, enhancing the productivity of the manufacturing industries. Nowadays, industries, organisations and enterprises are urging to equip fourth industrial revolution Industry 4.0. It helps in automation and data exchange in manufacturing technologies and processes, including the Internet of Things, Cyber-Physical Systems and Industrial Internet of Things. Nonetheless, some challenges still need to be investigated to implement IoT in industries and enterprises.

An Internet of Things based framework to enhance just-in-time manufacturing

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2017

Just-in-time manufacturing is a main manufacturing strategy used to enhance manufacturers’ competitiveness through inventory and lead time reduction. Implementing just-in-time manufacturing has a number of challenges, for example, effective, frequent and real-time information sharing and communication between different functional departments, responsive action for adjusting the production plan against the continually changing manufacturing situation. Internet of Things technology has the potential to be used for capturing desired data and information from production environment in real time, and the collected data and information can be used for adjusting production schedules corresponding to the changing production environment. This article presents an Internet of Things based framework to support responsive production planning and scheduling in just-in-time manufacturing. The challenges of implementing just-in-time manufacturing are identified first and then an Internet of Things ...

Framework of an IoT-based Industrial Data Management for Smart Manufacturing

Journal of Sensor and Actuator Networks, 2019

The Internet of Things (IoT) is the global network of interrelated physical devices such as sensors, actuators, smart applications, objects, computing devices, mechanical machines, and people that are becoming an essential part of the internet. In an industrial environment, these devices are the source of data which provide abundant information in manufacturing processes. Nevertheless, the massive, heterogeneous, and time-sensitive nature of the data brings substantial challenges to the real-time collection, processing, and decision making. Therefore, this paper presents a framework of an IoT-based Industrial Data Management System (IDMS) which can manage the huge industrial data, support online monitoring, and control smart manufacturing. The framework contains five basic layers such as physical, network, middleware, database, and application layers to provide a service-oriented architecture for the end users. Experimental results from a smart factory case study demonstrate that the framework can manage the regular data and urgent events generated from various factory devices in the distributed industrial environment through state-of-the-art communication protocols. The collected data is converted into useful information which improves productivity and the prognosis of production lines.