A comprehensive review of blockchain applications in industrial Internet of Things and supply chain systems

2021 ◽  
Author(s):  
Nida Malik ◽  
Khalid Alkhatib ◽  
Yufei Sun ◽  
Elijah Knight ◽  
Yaser Jararweh
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Comprehensive Review ◽  
Industrial Internet

Towards Implementing a Collaborative Manufacturing Cloud Platform: Experimenting Testbeds Aiming Asset Efficiency

2020 ◽  
Author(s):  
Nuno Santos ◽  
Paula Monteiro ◽  
Francisco Morais ◽  
Jaime Pereira ◽  
Daniel Dias ◽  
...  
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Proof Of Concept ◽  
Cloud Platform ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Collaborative Manufacturing ◽  
Manufacturing Operations ◽  
Industrial Internet ◽  
The Future

Abstract Developing Industrial Internet of Things (IIoT) systems requires addressing challenges that range from acquiring data at the level of the shopfloor, integrated at the edge level and managing it at the cloud level. Managing manufacturing operations at the cloud level arose the opportunity for extending decisions to entities of the supply chain in a collaborative way. Not only it has arisen many challenges due to several interoperability needs; but also in properly defining an effective way to take advantage of the available data, leading to Industrial Digital Thread (IDT) and Asset Efficiency (AE) implementing. This paper discusses implementation concerns for a collaborative manufacturing environment in an IIoT system in order to monitor equipment’s AE. Each concern was addressed in a separate proof of concept testbed. The demonstration is based in a project for the IIoT domain called PRODUTECH-SIF (Solutions for the Industry of the Future).

Challenges and recommended technologies for the industrial internet of things: A comprehensive review

Measurement ◽  
2020 ◽  
Vol 151 ◽  
pp. 107198 ◽  
Author(s):  
Mina Younan ◽  
Essam H. Houssein ◽  
Mohamed Elhoseny ◽  
Abdelmgeid A. Ali
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Comprehensive Review ◽  
Industrial Internet

scholarly journals Management system of smart warehouses using IIoT for optimize inventory control

2021 ◽  
pp. 1-8
Author(s):  
José Esteban Ruiz-Melo ◽  
Irma Martínez-Carrillo ◽  
Carlos Juárez Toledo ◽  
Amador Huitrón-Contreras
Keyword(s):  
Supply Chain ◽  
User Interface ◽  
Internet Of Things ◽  
Real Time ◽  
Management System ◽  
Web Application ◽  
Industrial Internet Of Things ◽  
Strategic Information ◽  
Industrial Internet ◽  
Experimental Management

In the industry, the supply chain develops activities related to the flow of goods. A nerve point of this chain is warehouses, whose operational efficiency allows to minimize product losses and reduce overall costs. This work proposes the automation of a goods warehouse through its integration and interoperation with emerging technologies based on the Industrial Internet of Things (IIoT), with the aim of knowing and planning the stock in real time to optimize its management, since a recurring problem is having outdated inventories, which impact on the lack of traceability of the product. A methodology based on the design of an experimental management system is propose, through RFID devices and a microcontroller allows to monitor the inputs and outputs of goods, the second part of the system is a web application with a user interface where information about inventories could be viewed and analyzed in real time. This research will allow to lay the foundations of automation through IIoT of a warehouse with the purpose of turning it into an intelligent unit that provide strategic information.

Industrial Internet of Things

2020 ◽  
pp. 134-155
Author(s):  
Sema Kayapınar Kaya
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Future Research ◽  
The Internet ◽  
Supply Chain Performance ◽  
Industrial Internet Of Things ◽  
Chain Processes ◽  
Industrial Internet ◽  
Literature Reviews ◽  
The Internet Of Things

Industrial Internet of Things (IIoT) refers to the extension of the Internet of Things and It is used for industrial purposes such as manufacturing, supply chain.IIoT can be connected with billions of industrial devices and machines that supported machine learning and big data technology. Because of its potential to authorize faster and better decision making, the IIoT becomes essential for supply chain processes. The IIoT is set to revolutionize the supply chain with both operational efficiencies and revenue opportunities made possible with just this type of transparency. This study attempts to fill this gap by developing a conceptual framework for predicting the advantage of the IIoT and supply chain performance. This chapter synthesizes existing literature reviews and making bibliometric analysis on the IIoT and supply chain. Additionally, It also outlines avenues and opportunities for future research aiming at the contribution of the IIoT to Supply Chain processes.

Supply Chain Design for the Industrial Internet of Things and the Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David C. De Roure ◽  
Jason Nurse ◽  
Rafael Mantilla Montalvo ◽  
Pete Burnap
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Supply Chain Design ◽  
Industrial Internet Of Things ◽  
Industrial Internet

scholarly journals Supply Chain Design for the Industrial Internet of Things and the Industry 4.0

2019 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Rafael Mantilla Montalvo ◽  
Peter Burnap
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Small And Medium Enterprises ◽  
Design Principles ◽  
Supply Chain Design ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Medium Enterprises

Digital technologies have changed the way supply chain operations are structured. In this article, we develop design principles to show determining factors for an Internet-of-Things approach within Supply Chain Management. From the design principles, the article derives a new model for the Industrial Internet of Things supply chains. The focus is on Small and Medium Enterprises (SMEs). This research design results in a new process of compounding knowledge from existing supply chain models and adapting the cumulative findings to the concept of supply chains in the Industrial Internet of Things. The paper outlines the design principles for developing cognition in the process of integrating SME’s digital supply chains in the Industrial Internet of Things (IIoT) and the Industry 4.0 (I4.0).

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

MONITORING AND PREDICTIVE ANALYTICS OF TECHNOLOGICAL EQUIPMENT ON THE BASED OF INDUSTRIAL INTERNET OF THINGS

2020 ◽  
pp. 7-12
Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Predictive Analytics ◽  
Actual State ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Machining Time ◽  
Industrial Internet ◽  
Acquisition Device ◽  
Data Acquisition Device

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage

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