{"title":"Trustworthy SoC Reconfiguration Aimed at Product-Service Systems: a Literature Review","authors":"M. Méré, F. Jouault, Loïc Pallardy, R. Perdriau","doi":"10.1109/COINS54846.2022.9854965","DOIUrl":null,"url":null,"abstract":"The electronics industry is a field where production is increasingly complex despite very competitive prices. Semiconductor cost production are mainly due to complex infrastructures and high non-recurring development costs. In order to be competitive, integrated circuits (ICs) need to be mass-produced. However, there is a need for a relatively large variety of components to better suit all applications. In addition, the whole logistics process involves numerous actors, and needs to be secured to avoid product theft and counterfeiting. In order to address these problems, proposals have emerged in the literature that allow the management of actions to be carried out throughout the product’s life cycle via hardware modules. These propositions simplify components customization, which is an efficient way to associate mass production and small series. Described as life cycle management systems (LCMS), they enable new applications that could be an environmental asset such as facilitating Product Service Systems (PSS), a more sustainable business model for intelligent objects. they even give guarantees on component traceability over the whole supply chain. In the perspective of determining which already available solutions are capable of meeting requirements that make the implementation of an LCMS on a component, this paper collects a set of research references capable of addressing such expectations. The target is to establish the criteria necessary to meet these requirements and then compare the different solutions in order to determine the most promising ones.","PeriodicalId":187055,"journal":{"name":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COINS54846.2022.9854965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The electronics industry is a field where production is increasingly complex despite very competitive prices. Semiconductor cost production are mainly due to complex infrastructures and high non-recurring development costs. In order to be competitive, integrated circuits (ICs) need to be mass-produced. However, there is a need for a relatively large variety of components to better suit all applications. In addition, the whole logistics process involves numerous actors, and needs to be secured to avoid product theft and counterfeiting. In order to address these problems, proposals have emerged in the literature that allow the management of actions to be carried out throughout the product’s life cycle via hardware modules. These propositions simplify components customization, which is an efficient way to associate mass production and small series. Described as life cycle management systems (LCMS), they enable new applications that could be an environmental asset such as facilitating Product Service Systems (PSS), a more sustainable business model for intelligent objects. they even give guarantees on component traceability over the whole supply chain. In the perspective of determining which already available solutions are capable of meeting requirements that make the implementation of an LCMS on a component, this paper collects a set of research references capable of addressing such expectations. The target is to establish the criteria necessary to meet these requirements and then compare the different solutions in order to determine the most promising ones.