This paper explores the role of Internet of Things (IoT) and its impact on supply chain management (SCM) through an extensive literature review. Important aspects of IoT in SCM are covered including IoT definition, main IoT technology enablers and various SCM processes and applications. We offer several categorisation of the extant literature, such as based on methodology, industry sector and focus on a classification based on major supply chain processes. In addition, a bibliometric analysis of the literature is also presented. We find that most studies have focused on conceptualising the impact of IoT with limited analytical models and empirical studies. In addition, most studies have focused on the delivery supply chain process and the food and manufacturing supply chains. Areas of future SCM research that can support IoT implementation are also identified.

Internet of things and supply chain management: a literature review

Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with data-driven decision-making. However, intrinsic features of IoT result in a number of challenges, such as decentralization, poor interoperability, privacy, and security vulnerabilities. Blockchain technology brings the opportunities in addressing the challenges of IoT. In this paper, we investigate the integration of blockchain technology with IoT. We name such synthesis of blockchain and IoT as blockchain of things (BCoT). This paper presents an in-depth survey of BCoT and discusses the insights of this new paradigm. In particular, we first briefly introduce IoT and discuss the challenges of IoT. Then, we give an overview of blockchain technology. We next concentrate on introducing the convergence of blockchain and IoT and presenting the proposal of BCoT architecture. We further discuss the issues about using blockchain for fifth generation beyond in IoT as well as industrial applications of BCoT. Finally, we outline the open research directions in this promising area.

Blockchain for Internet of Things: A Survey

http://www.cs.hut.fi/~framling/Publications/intelligentproducts_final.pdf

Intelligent Products: A survey

Auto ID systems and intelligent manufacturing control

Integration of renewable energy and optimization of energy use are key enablers of sustainable energy transitions and mitigating climate change. Modern technologies such the Internet of Things (IoT) offer a wide number of applications in the energy sector, i.e, in energy supply, transmission and distribution, and demand. IoT can be employed for improving energy efficiency, increasing the share of renewable energy, and reducing environmental impacts of the energy use. This paper reviews the existing literature on the application of IoT in in energy systems, in general, and in the context of smart grids particularly. Furthermore, we discuss enabling technologies of IoT, including cloud computing and different platforms for data analysis. Furthermore, we review challenges of deploying IoT in the energy sector, including privacy and security, with some solutions to these challenges such as blockchain technology. This survey provides energy policy-makers, energy economists, and managers with an overview of the role of IoT in optimization of energy systems.

Internet of Things (IoT) and the Energy Sector

This paper presents a hybrid logistic decision-making-aided process for safely monitoring resources and handling products in an loT-based warehouse. The proposal achieves a safe warehouse management by using reactivity of smart products and shelves against surrounding critical risks. Products are transformed into intelligent agents, smart products, able to decide their trajectory and storage destination. This work presents a hybrid decision-making-aided model which is composed of two phases; one is the centralized logistic decision-making of the final product allocation, using static potential fields method, floating locations principle and advanced product classification, and the other one decentralized assures the reactive control of product trajectory at the shop floor level by using dynamic potential fields method, and taking into account product-resource interactions. The classification of products by methods exploiting multiple criteria will help to optimize incoming factors in the overall equation of performing and assuring security of goods and person. Validation of the proposal is detailed in a NetLogo simulation.

A Hybrid Decision-Making-Aided Process for Classified Products Warehousing

Wireless sensor networks (WSNs) are a new paradigm of telecommunication networks. WSNs are designed to perform efficient data collection and e nvironment monitoring, among other applications. Th is article presents an approach of modelling and simulation of cooperation between active products that are equip ped with a platform of sensor networks and ambient communicati on capabilities in order to increase their security , in a context of ambient intelligence of a deposit for chemical subs tances. The concept of active products supported by a model that we propose, offers the possibility for objects to interact between them in an autonomous, transparent and intelligent way, without any human help. Indeed, the model presented exploits the advantages offered by a network of se nsors to generate active interactions between the products i n order to guarantee active security, i.e., an inte raction bilateral protected, transparent, autonomous and intelligent. We introduce the term of active security in indust rial chemical storage sector, taken in charge directly by the act ive product subjugated by a constrained security le vel. The simulation of the model assembled with the Castalia-OMNET++ To ols language.

https://hal.archives-ouvertes.fr/hal-00489376/document

Simulation of active products cooperation for active security management

Ce papier presente et propose la formalisation d'un concept novateur de produit actif, integrant des technologies de capteurs et de communication ambiante sans fils afin d'assurer la securite active des produits d'un depot pour de substances chimiques. Le concept de produit actif supporte par un modele que nous proposons, offre les possibilites aux objets d'interagir entre eux d'une maniere autonome, transparente et intelligente, sans aide humaine, afin d'augmenter leur securite, dans un contexte d'intelligence ambiante. Nous introduisons de plus le terme de securite active dans le cadre des industries de stockage de produits chimiques, pris en charge directement par les produits actifs assujettis par un niveau de securite sous contrainte.

https://hal.archives-ouvertes.fr/hal-00199449/document

Modèle de Produits Actifs et Communication Ambiante pour la Gestion de la Sécurité de Produits Dangereux

Smart objects and services modeling in the supply chain

The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.

/pdf/a-socio-inspired-methodology-and-model-for-advanced-and-mog9pkhi.pdf

Eddy Bajic

Papers

A Hybrid Decision-Making-Aided Process for Classified Products Warehousing

Simulation of active products cooperation for active security management

Modèle de Produits Actifs et Communication Ambiante pour la Gestion de la Sécurité de Produits Dangereux

Smart objects and services modeling in the supply chain

A Socio-Inspired Methodology and Model for Advanced and Opportunistic Interactions between Industrial IoT Objects