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International audience; Digital Twin is one of the key enabling technologies of the fourth industrial evolution. Alongside with the cyber-physical systems it is expected to widen the perspectives of smart manufacturing development and for production systems in particular. For these systems ongoing state monitoring, simulation and prediction of manufacturing operations are crucial to improve the production efficiency and flexibility. Moreover, through the principles of system engineering, Digital Twin establishes interconnection and interoperability between cyber and physical environments allowing a human to act confidently based on accurately analysed data and verified simulation models. In order to design and implement Digital Twin the architecture and main components must be identified.

Machine learning (ML) techniques in association to emerging sixth generation (6G) technologies, i.e., massive Internet of Things (IoT), big data analytics have caught too much attention from academia to the business world since last few years due to their high and fast computing capabilities. The role of ML-based 6G techniques is to reshape the imaginary idea into physical world for resolving the challenging issues of energy, quality of service (QoS), and quality of experience (QoE). Besides, ML techniques with better association to 6G reshapes the industrial network in box (NIB) platform. In the mean-time rapidly increasing market of the IoT devices to deliver multimedia content has caught the attention of various fields such as, industrial, and healthcare. The challenging issue that end-users are facing is the unsatisfactory and annoyed performance of portable devices while surfing the video, and image to/from desired entity, i.e., low QoE. To resolve these issues this research first, proposes a novel ML-driven mobility management method for the efficient communication in industrial NIB applications. Second, a novel architecture of 6G-based intelligent QoE and QoS optimization in industrial NIB is proposed. Third, a 6G-based NIB framework is proposed in association to the long-term evolution. Forth, use-case for 6G-empowered industrial NIB is recommended for an energy efficient communication. Experimental results are extracted with high energy efficiency, better QoE, and QoS in 6G-based industrial NIB.

International audience; In a context where decommissioning activities are becoming more and more strategic for the nuclear sector, data information management is of prior interest, especially due to its particular complexity. The main challenge is to ensure the access to the right information at the right time to the right person, in order to provide a consistent basis to the decision sup-port framework. Such information must be well storage, managed and controlled, meaning that the user has to be aware of the level of maturity and uncertainty attached to such in-formation to complete our mastery of nuclear-based energy all along its lifecycle. In order to answer these needs, a PLM approach is proposed and experimented as information backbone for the decommissioning activity and support of the whole process design

International audience; Purpose: Supply chain has become very complex today. There are multiple stakeholders at various points. All these stakeholders need to collaborate with each other in multiple directions for its effective and efficient management. The manufacturers need proper information and data about the product location, its processing history, raw materials, etc at each point so as to control the production process. Companies need to develop global and effective strategies to sustain in the competitive market. Logistics helps companies to implement the effectiveness across the business supply chain from source to destination to achieve their strategic goals. Traceability has become one of the integrated parts of the supply chain logistics management that track and trace the product's information in upstream and downstream at each point. All the stakeholders in the supply chain have different objectives to implement the traceability solution that depends on their role (e.g. manufacturers, distributers or wholesalers have their own role). The information generated and needed from all these actors are also different and are to be shared among all to run the supply chain smoothly. But the stakeholders don't want to share all the information with other stake holders which is a major challenge to be addressed in current traceability solutions. The purpose of this research is to conduct thorough study of the literatures available on the traceability solutions, finding the gaps and recommending our views to enhance the collaborations among the stakeholders in every point of the business supply chain. The study will be helpful for further researchers to propose a traceability meta-model to address the gaps. Design/methodology/approach: The relevant literatures with keywords supply chain management, traceability, logistics management are searched from the trusted database. The scope and the objectives of the research is set based on which the papers are filtered as per the titles and abstract. Proper analyses of the screened papers are done and the recommendations are given. Findings: Traceability solution is popular among the industries since a long for their supply chain management. After proper analysis of the available literatures about the traceability solution the industries use, this research will identify the gaps based on which we give the proper recommendations and perspectives of our work.

International audience; The problem is motivated by the observation that most of the mobile and wearable healthcare devices used for wireless communication are battery-operated, and cannot be used indiscriminately because of limited energy sources and has to be regularly recharged from a power supply. We, therefore, design ON-OFF Battery Friendly Algorithm (OBFA) to prolong the life time of battery-operated devices by minimizing battery charge consumption. We select human vital sign signal Electrocardiogram (ECG) data from World's larger database, i.e., PhysioNet and tested with our proposed OBFA for further transmission over joint IoT and Wireless Body Sensor Networks (WBSNs). Experimental results reveal that battery charge consumption is minimized and lifetime is extended in comparison with conventional baseline algorithm.

International audience; Purpose: The quality loss of fruit due to the mechanical injuries and the physiological change during storage and transportation is an important cause of downgrading and wastage of fruit exportation (5% to 60%). The objective of this paper is to propose the optimization approach for scheduling fresh fruit exporting operations which consider the cost of quality loss based on the above-mentioned cause. Design/methodology/approach: The methodology is divided into 3 phase. Firstly, the damage cost due to mechanical injury(MI) and holding cost due to physiological change are estimated by using linear regression. Secondly, mathematical modelling of exportation costs for the exporter considering the damage and holding cost is developed to formulate objective functions. Lastly, solution spaces of models are analysed by numerical study to determine two decision variables: the quantity of fruit exported in each day and on hand inventory duration. Findings: In case study of mangoesteen exportation, the damage and holding cost of fruit exportation can be considered as a linear function with time. This can be used to determine markdown policy with steeper discount and develop the mathematical model via linear regression approach to optimize scheduling fresh fruit exporting operations. Practical implications: The model provides important improvement in profit and cost of fruit exportation. This improvement is more significant for the logistics exporter to make decision in part of export planning, choosing the appropriate distribution scheme, and mark down policy under uncertainty of demand. rate. Originality/value: This paper is a combination the cost of quality loss from MI and physiological change of fruit, which has appeared in single mathematical models. To the best of the authors' knowledge, no mathematical model has yet been proposed.

International audience; This paper explored classification in order to understand the trends in knowledge research on supply chain management (SCM) and product lifecycle management (PLM). Bibliometric analysis was applied to investigate the dataset using co-citation analysis as unit analysis through VOSviewer to examine the selected 811 articles based on the ISI Web of Science and Scopus. Science mapping was then generated from the cited references. The results showed that there are three main clusters in the knowledge sources on SCM and PLM consisting of: 1) new product management; 2) information management; and 3) sustainable development. The classification of knowledge sources in relation to SCM and PLM was presented diagrammatically. In addition, the time period of prominent research areas was described. This research could contribute to identifying the trends and future direction of common areas of PLM and SCM.

International audience

International audience; Mechanical damage to fresh fruits and vegetable during transportation is significant in logistics cost for export companies. Many global companies have tried to control the product quality throughout the food supply chain. However, the cost of quality loss due to the mechanical injuries during transportation is difficult to identify accurately and incorporate into logistics cost model. In this paper, we propose the methodology to formulate the mathematical model to maximize revenue that considered not only common logistic cost but also the physical injuries cost due to shock and vibration during transportation. The resulting model can be applied in an illustrative case study for the other FFV, and can be used to design and operate food distribution system both in term of export plan and marketing plan in each day during fruit season period.

International audience; The rapid technological enhancement and innovations in current days have changed people's thought. The use of Information Technology tools in people's daily life has changed their life style completely. The advent of various innovative smart products in the market has tremendous impact on people's lifestyle. They want to know their heart beat while they run, they need a smart car which makes them alert when they become sleepy while driving, and they need an IT tool which can make their home safer when they are out. These quests of people to the very extent have been fulfilled by development of many Meta products like wearables, smart phones, smart car etc. The concept of Meta product is based on the fact that they need to offer intelligent services to the users. In present day's Meta products market, the manufacturers have their own cloud based platform which is used by the products for which it is developed. The other products cannot use the common platform. In this paper, we propose a common cloud based platform that will be used by any Meta product's user to get different services.

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International audience; Because of sustainable development has recognized for last 10 years. Most interpretations of sustainable development recognize that there are constraints on long-term human activities consisting of three dimensions: economic, environmental and social. From the literature review, we found that indicators of environmental and economic performance are relatively well established. They can be combined to indicate the sustainability of products, services and supply chains. Meanwhile indicators of social performance are more problematic, particularly indicators to describe the social value of products and services. This paper reviews a context of social indicators and proposes a metric to measure social performance for sustainable supply chain.

International audience; The topics of sustainable Supply Chain Management (sSCM) has received growing attention and become an increasingly popular research area. Several approaches were proposed for the implementation of sSCM initiatives as well as defining the role of organizational factors in the adoption of environmental innovations based on factors identified through survey. Despite different research approaches and studies with sSCM, the critical factors affecting the implementation and adoption of sSCM is still at embryonic stage. On the other hand, supply chain risk management in the successful implementation and adoption of sSCM initiatives entirely determine the sustainability of such initiatives for efficiency and long term commitments. This study examines risk management issues from the perspectives of the sSCM by factor analysis to determine core risk management factors for sSCM. The findings of these critical factors implicates that for the adoption with performance of sSCM operations, risk management plays a significant role.

International audience; Le travail présenté dans cet article s'intéresse à la modélisation et la simulation des relations interentreprises dans le cadre des chaînes logistiques, notamment les processus d'externalisation. Dans la littérature, il n'existe pas de modèle global d'aide à la décision pour la mise en oeuvre d'une démarche d'externalisation ou de sous traitance réfléchie et réussie. Le modèle que nous développons illustre une démarche globale et inclut un ensemble d'indicateurs de performance permettant de juger de l'impact de cette externalisation sur la performance de l'entreprise. Pour prendre en compte l'aspect qualitatif de ces indicateurs, nous développons une grille de caractérisation mettant en évidence leurs corrélations avec les indicateurs quantitatifs. Enfin, nous proposons un modèle de simulation afin d'appréhender la dynamique de cette démarche, et de valider sur un cas d'étude la pertinence de ce modèle.

International audience

International audience; Sustainability is a very vital issue which receives key attention in the media, press, journals, business and academic research arena. Most of the conversation and argument is ambiance the environmental impact that happened on the organizational supply chains. It is mostly regarding how to convert the traditional Supply chain management practices into Sustainable supply chain management (sSCM) system. In this paper we exert our effort to show a state of art regarding sustainable supply chain management. This research is a systematic literature and analyzed articles based study intended to provide an overview of multifaceted discussion of sSCM by different authors and establish a conceptual basis of this discipline.

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