Industrial Internet-of-Things for Management Applications: Ultra Wideband positioning system case study

2021 ◽  
Author(s):  
Lorenzo Mucchi ◽  
Stefano Caputo ◽  
Lorenzo Biotti ◽  
Giacomo Borghini
Author(s):  
Erdinç Koç

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.


2021 ◽  
Vol 50 ◽  
pp. 101439
Author(s):  
Jia Ding ◽  
Maolin Wang ◽  
Xiong Zeng ◽  
Wenjie Qu ◽  
Vassilios S. Vassiliadis

2021 ◽  
pp. 204388692098616
Author(s):  
Dipankar Chakrabarti ◽  
Soumya Sarkar ◽  
Arindam Mukherjee

Owners of start-ups in the high-tech field face multiple challenges while scaling-up. The major challenge is to form a proper strategy that guides them to move from building products for point solutions to more industry-focused solutions, retaining skilled resources, efficient workforce management, and improving market reach. This case study is on Distronix, a start-up in the Industrial Internet of Things that could see steady revenue within 3 years of its operations. Distronix wanted to reach the next orbit fast. Distronix wanted to change the organizational blueprint with a proper strategy to scale-up. The young entrepreneurs owning Distronix brainstormed with their employees and the industry experts to strategize the next phase of growth. Market reach and coping with the changing demand of customers on Industrial Internet of Things were the two most important aspects of their strategy. After discussing with stakeholders and the mentors, the owners focused on alliances to increase their delivery and market reach capabilities. They could establish strong alliances, even with larger companies, with proper planning and sustained quality delivery. From the inception of Distronix, owners established alliance, but those were ad hoc and not as per the holistic plan, which provided them a better focus and guidance on alliancing. The alliance strategy seems successful from its revenue growth but needs regular review as the technology stack is getting refreshed fast. Regular monitoring of performance is also critical. The case study shows the importance of a well-thought and well-rounded alliance strategy for a start-up to scale-up confidently.


2019 ◽  
Vol 252 ◽  
pp. 09003
Author(s):  
Jakub Pizoń ◽  
Grzegorz Kłosowski ◽  
Jerzy Lipski

The following paper presents a key role and potential of Industrial Internet of Things (IIoT) in industrial applications as a solution for monitoring and maintaining manufacturing assets. IIoT is particularly important due to progressing computerisation of hardware resources leading to development of a virtualised model of autonomous real-time production management. Adequately article presents case study of IIoT use in production environment – both methodical and analytic approach is presented.


2019 ◽  
Vol 56 ◽  
pp. 11-29 ◽  
Author(s):  
Evgeny Kharlamov ◽  
Gulnar Mehdi ◽  
Ognjen Savković ◽  
Guohui Xiao ◽  
Elem Güzel Kalaycı ◽  
...  

2017 ◽  
Vol 7 (5) ◽  
pp. 155-162 ◽  
Author(s):  
Vito Scilimati ◽  
Antonio Petitti ◽  
Pietro Boccadoro ◽  
Roberto Colella ◽  
Donato Di Paola ◽  
...  

Author(s):  
Chen Peng ◽  
Zheng Zhang ◽  
Tao Peng ◽  
Renzhong Tang ◽  
Xiaoliang Zhao

Abstract It has been recognized by manufacturing companies that working collaboratively is the way to advance their competiveness. Order fulfillment estimation addresses the issue of uncertainty from vendors. It is significant for collaborative manufacturing, which enhances companies’ responsiveness to market dynamics. In a data-rich scenario, order fulfillment estimation can be performed based on information extracted from data acquisition devices, such as smart sensors. The analysis result should serve the decisions-making of the production planning, and an indicator should be passed along the production chain even to its end customer for collaborative purpose. In the meanwhile, the manufacturer’s sensitive or confidential information is excluded to avoid risks. This article studies a method to effectively evaluate the order fulfillment process in an Industrial Internet of Things (IIoT) facilitated make-to-order production system. An order fulfilment progress (OFP) indicator is proposed to dynamically represent the fulfillment progress, and its estimation mathematical models are proposed. To improve the practicability of the OFP indicator in production, the influence of abnormal event scenarios are discussed to modify the OFP. A case study presented in this research demonstrates the proposed indicator with consideration of job in process (JIP) is promising comparing to conventional indicators that are represented by the proportion of finished over total products.


2020 ◽  
Author(s):  
Karthik Muthineni

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.


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