scholarly journals Strategy for Supply Chain Integration of Autonomous Electrical Vehicles in the Internet of Things

2019 ◽  
Author(s):  
Petar Radanliev
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chain Integration ◽  
The Internet ◽  
Theory Approach ◽  
Supply Chain Strategy ◽  
Electrical Vehicles ◽  
The World ◽  
The Impact ◽  
The Internet Of Things

This paper outlines a new methodology for developing strategy for supply chain integration of Autonomous Electrical Vehicles (AEV) to the Internet of Things (IoT). The methodology consists of external architecture and internal design that anticipates the business strategy in the development process. The methodology is designed to anticipate the impact of developments in new road transport technologies, such as Tesla Truck or Tesla Pickup. Since the methodology is designed to anticipate the impact of non-existing technologies, it represents green-field analysis. Green-field is defined as a new and non-existent operation. Green-field strategy architecture in this paper is presented as a process of accepting the world and acting upon that version of the world. The results of the analysis are presented as pathways and outcomes, emerging from the interrelated relationship between AEV and IoT. The emerging methodology is applied through two case studies to evaluate the impact to environment, performance and operationalisation. The methodology proposes architecture and design for integrating AEV and IoT in the supply chain strategy, and a set of new evaluation criteria that promote acceptance of Artificial Intelligence (AI) in the design process. The main contribution to knowledge is a new methodology for integrating AEV and the IoT to the supply chains. The paper applies interplay between inductive and deductive case study and grounded theory approach to build upon the concept of supply chain architecture and contribute to knowledge to the topic of formulating green-field integrated AEV- IoT supply chain strategy.

Value Enablement of Collaborative Supply Chain Environment Embedded With the Internet of Things

2020 ◽  
Vol 16 (3) ◽  
pp. 19-51
Author(s):  
Samir Yerpude ◽  
Tarun Kumar Singhal
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Goodness Of Fit ◽  
The Internet ◽  
Chain Model ◽  
Time Data ◽  
Business Goals ◽  
The Impact ◽  
The Internet Of Things

Currently, industry is going through the fourth Industrial Revolution, also termed Industry 4.0. It is characterized mainly by the cyber-physical systems dominated by digital technologies such as the Internet of Things (IoT). Organizations are making significant effort to understand customer needs and subsequently align them to the business goals for achieving market leadership. It is imperative for the longevity of the organization that goods and services be made available to the customer at the most appropriate place, time, and price. Supply chains are contributing to achieving this organizational goal. A paradigm shift was observed in the past few decades when organizations competed as supply chains in the market more than an individual brand. This shift brought forward the importance of collaborative supply chains. Researchers in this study have presented the impact of IoT origins on real-time data on a collaborative supply chain model, including internally and externally aligned parameters. The study recommends the best model basis for the goodness of fit from the customer and vendor perspective for the automotive industry in India.

scholarly journals Influence of Montoring: Fog and Edge Computing

2019 ◽  
Vol 20 (2) ◽  
pp. 365-376 ◽  
Author(s):  
Vivek Kumar Prasad ◽  
Madhuri D Bhavsar ◽  
Sudeep Tanwar
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Cloud Platform ◽  
The World ◽  
Iot Devices ◽  
Edge And Fog Computing ◽  
The Impact ◽  
The Internet Of Things

The evolution of the Internet of Things (IoT) has augmented the necessity for Cloud, edge and fog platforms. The chief benefit of cloud-based schemes is they allow data to be collected from numerous services and sites, which is reachable from any place of the world. The organizations will be benefited by merging the cloud platform with the on-site fog networks and edge devices and as result, this will increase the utilization of the IoT devices and end users too. The network traffic will reduce as data will be distributed and this will also improve the operational efficiency. The impact of monitoring in edge and fog computing can play an important role to efficiently utilize the resources available at these layers. This paper discusses various techniques involved for monitoring for edge and fog computing and its advantages. The paper ends with a case study to demonstarte the need of monitoring in fog and edge in the healthcare system.

scholarly journals Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongxiu Cui
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Economic Benefits ◽  
Cold Chain ◽  
The Internet ◽  
Key Technologies ◽  
Coordination System ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

The Impact of the Internet of Things on Supply Chain 4.0

Logistics 4.0 ◽  
2020 ◽  
pp. 35-50
Author(s):  
Sema Kayapinar Kaya ◽  
Turan Paksoy ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
The Internet ◽  
The Impact ◽  
The Internet Of Things

scholarly journals Analysis of Feedback Evaluation for Trust Management Models in the Internet of Things

IoT ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 498-509
Author(s):  
Claudio Marche ◽  
Luigi Serreli ◽  
Michele Nitti
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Trust Model ◽  
Vital Role ◽  
The Internet ◽  
Peer Network ◽  
The World ◽  
The Impact ◽  
Peer To Peer Network ◽  
The Internet Of Things

The Internet of Things (IoT) is transforming the world into an ecosystem of objects that communicate with each other to enrich our lives. The devices’ collaboration allows the creation of complex applications, where each object can provide one or more services needed for global benefit. The information moves to nodes in a peer-to-peer network, in which the concept of trustworthiness is essential. Trust and Reputation Models (TRMs) are developed with the goal of guaranteeing that actions taken by entities in a system reflect their trustworthiness values and to prevent these values from being manipulated by malicious entities. The cornerstone of any TRM is the ability to generate a coherent evaluation of the information received. Indeed, the feedback generated by the consumers of the services has a vital role as the source of any trust model. In this paper, we focus on the generation of the feedback and propose different metrics to evaluate it. Moreover, we illustrate a new collusive attack that influences the evaluation of the received services. Simulations with a real IoT dataset show the importance of feedback generation and the impact of the new proposed attack.

scholarly journals Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things

2021 ◽  
Author(s):  
Christos I. Papanagnou
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Closed Loop ◽  
Bullwhip Effect ◽  
The Internet ◽  
Chain Model ◽  
Closed Loop Supply Chains ◽  
The Impact ◽  
The Internet Of Things

AbstractClosed-loop supply chains are complex systems as they involve the seamless backward and forward flow of products and information. With the advent of e-commerce and online shopping, there has been a growing interest in product returns and the associated impact on inventory variance and the bullwhip effect. In this paper, a novel four-echelon closed-loop supply chain model is presented, where base-stock replenishment policies are modelled by means of a proportional controller. A stochastic state-space model is implemented, initially to capture the supply chain dynamics while the model is analysed under stationarity conditions with the aid of a covariance matrix. This allows the bullwhip effect to be expressed as a function of replenishment policies and product return rates. Next, an optimisation method is introduced to study the impact of the Internet of Things on inventory variance and the bullwhip effect. The results show that the Internet of Things can reduce costs associated with inventory fluctuations and eliminate the bullwhip effect in closed-loop supply chains.

scholarly journals Defending against the Novel Coronavirus (COVID-19) outbreak: How can the Internet of Things (IoT) help to save the world?

2020 ◽  
Vol 9 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Md. Siddikur Rahman ◽  
Noah C. Peeri ◽  
Nistha Shrestha ◽  
Rafdzah Zaki ◽  
Ubydul Haque ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
The Novel ◽  
The World ◽  
Novel Coronavirus ◽  
The Internet Of Things
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