Dans ces travaux de recherche, nous proposons une méthodologie pour l’élaboration d’une architecture Cloud Manufacturing. Le CM est un paradigme émergeant dans lequel des ressources dynamiques virtualisées et extensibles sont fournies à un utilisateur comme services à travers internet. Notre architecture est utilisée comme une plateforme pour mettre en correspondance des utilisateurs et des fournisseurs de ressources manufacturières pouvant collaborer ensemble tout au long du cycle de vie du produit tout en réduisant les coûts et le temps de développement. Comme certains vendeurs peuvent décrire leurs services de différentes façons, les technologies du web telles que les ontologies sont des outils robustes pour mettre en correspondance les descriptions des vendeurs avec les requêtes des utilisateurs. Nous utilisons les ontologies pour élaborer le modèle de connaissance du domaine du Cloud Manufacturing. L’ontologie définit les étapes du cycle de vie du produit comme des services et prend en compte les caractéristiques du Cloud Computing (stockage, capacité de calcul, etc.). L’ontologie CM contribue à automatiser la découverte des services et est incluse dans la plateforme pour mettre en correspondance des utilisateurs et les fournisseurs. La méthodologie proposée (ASCI-Onto) est inspirée par le cadre méthodologique ASCI qui a déjà été utilisé pour l’étude de systèmes logistiques, hospitaliers et de production. L’objectif de cette nouvelle méthodologie est de développer facilement une librairie de composants pour un système CM. Un exemple d’application avec un modèle de simulation, basé sur le logiciel CloudSim, est présenté. L’objectif est d’aider les industriels à prendre leurs décisions pour concevoir un système CM. / In this research, we introduce a methodology to build a CM architecture. Cloud Manufacturing is an emerging paradigm in which dynamically scalable and virtualized resources are provided to the users as services over the Internet. Our architecture serves as a platform for mapping users and manufacturing resources' providers with the aim of enhancing collaboration within Product Lifecycle Management (PLM) by reducing costs and development time. Since some providers may use different descriptions of their services we believe that semantic web technologies like ontologies are robust tools for mapping providers' descriptions and users' requests in order to find the suited service. Then, we use ontology to build the knowledge model of Cloud Manufacturing domain. The ontology defines the steps of the pro- duct lifecycle as services and also takes in account the Cloud Computing features (storage, Computing capacity, etc.). The Cloud Manufacturing ontology contributes to intelligent and automated service discovery and is included in a platform for mapping users and providers. The proposed methodology ASCI-Onto is inspired by ASDI framework (analysis-specification- design-implementation) which has already been used in supply chain, healthcare and manu- facturing domains. The goal of the new methodology consists of designing easily a library of components for a Cloud Manufacturing system. Finally, an example of application of this methodology with a simulation model, based on the CloudSim software, is presented. The goal is to help industrials to make their decisions in order to design Cloud Manufacturing systems.

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Collaboration is a pervasive element in an organization's departments, various suppliers, and business associates in an advanced manufacturing industry. Cloud Manufacturing (CMfg) is a new service-oriented business paradigm capable of generating this sought-after collaboration. Companies are expected to accomplish cost reductions, maintain quality, satisfy the market, and reduce environmental impacts while growing in sophistication and integration. Implementing the idea of sharing resources and capabilities will ultimately result in cost reduction, boost productivity,and more efficient consumption of natural resources globally. Sustainability, consumption of energy, and waste minimization would thus find an adequate representation within CMfg due to its collaborative aspect. Even though it has been more than a decade since the inception of cloud manufacturing, a broad consensus about the concept, essential characteristics, architecture is still lacking. This thesis addresses the presented definitions, features, and architectures associated with CMfg found in the literature; by conducting a systematic literature review. Thus, 105 papers have been selected to enable the identification of the core components of the CMfg idea, as well as illustrate how CMfg contributes to a more sustainable manufacturing future while its relationship with other relevant manufacturing paradigms, including Industry 4.0, smart manufacturing, social manufacturing, E-manufacturing, and Industrial Internet, isinvestigated. Summaries of various definitions of the CMfg concept as well as different layers of its architecture have been presented. This paper investigates the potential contributions of CMfg to sustainability by analyzing solutions that lead to the improvement of collaboration, better automation, and utilizing the 6Rs concept, as well as considering the role of waste valorization and circular economy in today's manufacturing strategies.

This research project aims to develop a framework to manage uncertainty in cloud manufacturing for small and medium enterprises (SMEs). The framework includes a cloud manufacturing taxonomy; guidance to deal with uncertainty in cloud manufacturing, by providing a process to identify uncertainties; a detailed step-by-step approach to managing the uncertainties; a list of uncertainties; and response strategies to security and privacy uncertainties in cloud manufacturing. Additionally, an online assessment tool has been developed to implement the uncertainty management framework into a real life context. To fulfil the aim and objectives of the research, a comprehensive literature review was performed in order to understand the research aspects. Next, an uncertainty management technique was applied to identify, assess, and control uncertainties in cloud manufacturing. Two well-known approaches were used in the evaluation of the uncertainties in this research: Simple Multi-Attribute Rating Technique (SMART) to prioritise uncertainties; and a fuzzy rule-based system to quantify security and privacy uncertainties. Finally, the framework was embedded into an online assessment tool and validated through expert opinion and case studies. Results from this research are useful for both academia and industry in understanding aspects of cloud manufacturing. The main contribution is a framework that offers new insights for decisions makers on how to deal with uncertainty at adoption and implementation stages of cloud manufacturing. The research also introduced a novel cloud manufacturing taxonomy, a list of uncertainty factors, an assessment process to prioritise uncertainties and quantify security and privacy related uncertainties, and a knowledge base for providing recommendations and solutions.

Production automation as a service (PAaaS) is seen as a new trend that enables the possibility to use production automation technologies as a service. The technologies are cloud-based which makes the implementation of production automation more effective and cost-effective. This approach is attractive to the companies that have a limited capital investment. The purpose of this thesis was to analyse and understand the implementation of Production Automation as a Service (PAaaS) in the manufacturing industry. In order to understand its implementation, it is important to know what the drivers and benefits with PAaaS implementation and what challenges there are and how to overcome them for a successful implementation. To provide with a comprehensive answer and conclusion about PAaaS implementation in the manufacturing industry the following research questions was studied:1. What are the drivers and benefits of PAaaS implementation in the manufacturing industry, and what needs does it fulfil?2. What are the challenges of implementing PAaaS in the manufacturing industry, and how can they be overcome for a successful implementation and scale-up?To be able to answer these questions, a qualitative research study based on literature review and interviews was conducted. The combination between the literature and the real-life experience in PAaaS implementation provided a greater understanding of the concept. The aim of the research questions is to provide guidance and recommendation for companies seeking for a successful implementation of PAaaS which leads to improved operational efficiency and the ability to utilise the technological advancement provided through PAaaS. The approach applied in this study has been qualitative research with an abductive research approach. By obtaining data through scientific articles and interviews it was possible to analyse it more in-depth in order to find similarities between them.In conclusion, PAaaS implementation in the manufacturing industry provides with key benefits such as cost-effectiveness, improved flexibility, scalability, productivity, efficiency, and improved product quality. These benefits fulfil several needs of manufacturing companies such as being more flexible and being able to use automated solutions at a lower cost. These needs also act as the drivers for the implementation of PAaaS. The drivers are an important aspect of PAaaS implementation, because without any drive and motivation, there won’t be any implementation of PAaaS that can fulfil a certain need of the company. The drivers and motivation for a PAaaS implementation in the manufacturing industry is the possibility for a business model transformation and the technological advancements that the manufacturer gain with the implementation.In addition, there are key challenges that makes the PAaaS implementation more complex for the manufacturing companies. These challenges are, Integration with legacy systems, internet dependency and lack of expertise and knowledge. To able to achieve a successful implementation, it is important to address the challenges, by addressing these problems it was possible to provide with strategies on how to overcome them. Which lays the foundation for future research about this topic.

Det här mastersprojektet syftar till att ansluta industriroboten till moln plattformen och utvärdera anslutning och säkerhet. För att uppnå bättre anslutning, säkerhet och integration, föreslås en modifierad Moln Tillverkningssystem- (CRS) arkitektur, som kännetecknas av hög modularitet, standardisering och komposibilitet. Arkitekturens specifika applikationer iprivata, offentliga och hybridmoln diskuteras också. Sedan är en  systemarkitektur med detaljerad mjukvarukomposition designad för Molnrobotik. Enligt den föreslagna systemarkitekturen presenteras möjliga säkerhetshotskällor och motsvarande lösningar.Under projektet används Universell Robot 5 (UR5) som en praktisk robotinstans för att utveckla en kommunikationsrutin mellan KTH Moln och robotar. Ett applikationsprogramgränssnitt (API) skrivet i Python for Universell Robot och servern är etablerad. API: n består av två modulära delar, Gateway Agenten och Applikationsmjukvaran.Gateway Agenten realiserar kopplingen mellan Universell Robot 5 (UR5) och molnet, medan applikationsmjukvaran kan anpassas till specifika tillämpningar och krav. I detta projekt utvecklas tre huvudfunktioner i applikationsmjukvaran, inklusive datainsamling, datavisualisering och fjärrkontroll. Förutom att utvärdera anslutning och stabilitet simulerasdet privata robotik molnsystemet och det offentliga robotik molnsystemet med KTH Moln.Hybrid robotik moln systemet diskuteras också. Genom resultaten av fallstudier verifieras anslutningen och integrationen av Moln Tillverkningssystem. / This master thesis project aims to connect the industrial robot to the Cloud platform, and evaluate the connectivity and security. To realize better connectivity, security and integration, a modified Cloud Manufacturing System (CRS) architecture is proposed, which is characterized by high modularity, standardization and composability. The architecture’s specific applications in private, public and hybrid cloud are discussed as well. Then, one system architecture with detailed software composition is designed for Cloud Robotics.According to the proposed system architecture, possible security threat sources and corresponding solutions are presented.During the project, Universal Robot 5 (UR5) is utilized as a practical robot instance to develop a communication routine between KTH Cloud and robots. An Application Program Interface (API) written by Python for Universal Robots and the server is established. The API consists of two modularized part, Gateway Agent and Application Package. The Gateway Agent realizes the connection between the Universal Robot 5 (UR5) and the cloud, while theApplication Package can be customized according to specific application and requirements. In this project, three main functions are developed in the Application Package, including data acquisition, data visualization and remote control. Besides, to evaluate connectivity and stability, private robotics cloud system and public robotics cloud system are simulated with KTH Cloud. The hybrid robotics cloud system is discussed as well. Through the results of case studies, the connectivity and integration of Cloud Manufacturing System are verified.

Cloud Manufacturing är en teknologi som sedan begreppets introduktion 2010 genomgått en omfattande utveckling och transformation. Under de tio år som passerat har forskning skett i Sverige och internationellt på hur det ska kunna realiseras. Detta projekt syftar till att undersöka det nuvarande forskningsläget och med grund i den forskning som skett analysera miniatyrtillverkningsindustrins möjligheter att ta till sig de senaste årens landvinningar inom Cloud Manufacturing med inriktning på offentliga moln, och om möjligt, dra slutsatser kring vad vi kan lära oss av detta exempel när det kommer till implementering i andra industrier. Projektet resulterade i att med de förutsättningar som enligt litteraturen krävs för att implementera Cloud Manufacturing finns det flera svårigheter med att implementera ett offentligt tillverkningsmoln i miniatyrtillverkningsindustrin. Dessa svårigheter inkluderade den nuvarande nivån av implementering av teknologier som stödjer implementationen av Cloud Manufacturing och hur implementationen ska finansieras. Industrin skulle dock kunna ta till sig innovationen i framtiden om förutsättningarna förändras. Det finns även en risk att dessa uppdagade svårigheter delas med andra tillverkande industrier som har många mindre företag. / Cloud Manufacturing is a new technology that has since the terms conception in 2010 gone through significant developments. During the ten years that have passed there have been much research on the subject in both Sweden and abroad. The purpose of this project is to shed some light on the current developments within Cloud Manufacturing , and with a basis in recent research analyse the possibilities of the miniature making industry to apply the progress within cloud manufacturing, and, if possible, see what could be learned from this example when it comes to the application of the technology within other industries. The project results in the conclusion that with the requirements for implementing cloud manufacturing established in the recent literature there are several difficulties with implementing Cloud Manufacturing within the miniature making industry. These identified include the current level of adaptation of technologies supporting the implementation of Cloud Manufacturing and the conditions for financing the implementation. The industry could have the possibility of implementing the technology in the future if conditions change. It also concludes that there is a possibility that these difficulties are shared with other producing industries with many small to medium enterprises.