Energianalys av ett pappersbruk med förbättringsförslag

Validerat; 20101217 (root

Modelling and simulation of support systems to predict operational availability

The aim of the work presented in this thesis is the development of the tools that support industry in offering FPs as a viable business case. A support system modelling and simulation tool, such as the one demonstrated in this thesis, would improve the possibilities of developing the support system early, concurrently with the development of the hardware. By performing a number of interviews and workshops, followed by a fault tree analysis to obtain the critical system components, a support system model was synthesised from the qualitative data. The model was translated into computer software designed in-house using C# to enable sufficient flexibility. Paper A demonstrates how collected data from interviews can be used to design a support system model to predict the behaviour of the support system. Paper B suggests how different parts of the FP model should be connected in terms of data flow to produce a system availability measurement. Paper C presents a modelling language for representing the details necessary to analyse and model the implementation of maintenance strategies for multi-component hardware. Some areas of refinement of the support system model are exemplified, such as travel distances and the occurrence of rare but harmful events.Godkänd; 2012; 20121005 (petkyo); LICENTIATSEMINARIUM Ämne: Datorstödd maskinkonstruktion/Computer Aided Design Examinator: Professor Lennart Karlsson, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Diskutant: Teknisk doktor Martin Helgoson, AB Sandvik Coromant Tid: Onsdag den 5 december 2012 kl 09.00 Plats: E231, Luleå tekniska universitetFastelaboratoriet - VINNEX

Predicting functional product availability and cost through a simulation driven approach

New business models, which adhere to new customer values and demands with more service content, call for a closer look at the offered product concepts. One promising methodology is the Functional Product, a total care solution, in which function is guaranteed to a specified level of availability. When guaranteeing function, it is not an option to rely on the assumption that the hardware components will work throughout the whole contract period. For the provider of such a function, predictions of what level of availability can be provided are important, especially over longer periods of time, and a data-driven approach is needed to verify that contracts can be upheld and to what cost. It has been identified that to successfully provide a Functional Product the service support system should be developed as an integrated part of the Functional Product. The success of a functional product ultimately depends on how well the customer values can be fulfilled. Diverse fields such as development, marketing, after-sales, and maintenance, strategy and customer relations must collaborate to identify investment opportunities and system bottlenecks. A holistic perspective can be difficult to grasp, both for an individual and a group of people. To manage this challenge, prediction and analysis tools which encompass the customer situation as well as the constituents of the functional product are needed. Such tools enable rational decision-making by quantifying the value and the risk of investments and reallocation of resources, and should be facilitated by the use of modelling, simulation, knowledge and information management systems. It is demonstrated how collected data from interviews and records can be used to design a support system model in order to predict the service completion time for the support system. The constituents needed to produce a system availability measurement are outlined in a framework of how they are connected in terms of information flow. To enable analysis of the function which adheres to the customer value and asserts information on availability provision, the development of simulation software which takes into account the integrated constituents of a functional product is described. A decision support tool is created, based on the integrated model, initially focusing on the support system, availability and impact of travel times between support locations and customer. How the model can be utilized in the analysis of a real industrial system is demonstrated. Based on continuous meetings and discussions with industrial partners, an improved version of the software which is closer to a total cost prediction tool is also demonstrated, including elements such as personnel, contracts, travel times, periodic maintenance and hardware degradation.Godkänd; 2015; 20151020 (petkyo); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Petter Kyösti Ämne: Datorstödd maskinkonstruktion/Computer Aided Design Avhandling: Predicting functional product availability and cost through a simulation driven approach Opponent: Professor Tobias Larsson, Institutionen för maskinteknik, Blekinge tekniska högskola, Karlskrona Ordförande: Bitr professor Mats Näsström, Avd för produkt- och Produktionsutveckling, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Tid: Tisdag 15 december kl 09.00 Plats: E632, Luleå tekniska universitetFastelaboratoriet - VINNEX

SOA-Based Platform Use in Development and Operation of Automation Solutions: Challenges, Opportunities, and Supporting Pillars towards Emerging Trends

The paper which is based on a literature review combined with a case study, spanning manufacturing and process industry contexts, set out to determine whether there is an emerging trend to use a service-oriented architecture (SOA)-based platform supporting microservices while developing and operating automation solutions while also considering effects and implications. The results point out that there is a significant potential, during the lifecycle, to save significant engineering time/effort during the development-related and operations phases while integrating systems and adding new types of sensors or other equipment. In addition, the results indicate that there are also business development advantages when promoting an SOA-based architecture supporting microservices towards monolith architectures and that a cybersecurity baseline can be included as part of the platform baseline. However, there is a threshold, before the benefits can be reaped, in terms of the need to build up a competency and skills set concerning the platform, SOA and microservices, as many providers of automation solutions are still doing the development in a traditional old monolithic style with hard-coded integrations between components and systems. Finally, we see an emerging trend to use a competent SOA-based platform in the development and operation of automation solutions

Energianalys av ett pappersbruk med förbättringsförslag

Validerat; 20101217 (root

SOA-Based Platform Use in Development and Operation of Automation Solutions: Challenges, Opportunities, and Supporting Pillars towards Emerging Trends

The paper which is based on a literature review combined with a case study, spanning manufacturing and process industry contexts, set out to determine whether there is an emerging trend to use a service-oriented architecture (SOA)-based platform supporting microservices while developing and operating automation solutions while also considering effects and implications. The results point out that there is a significant potential, during the lifecycle, to save significant engineering time/effort during the development-related and operations phases while integrating systems and adding new types of sensors or other equipment. In addition, the results indicate that there are also business development advantages when promoting an SOA-based architecture supporting microservices towards monolith architectures and that a cybersecurity baseline can be included as part of the platform baseline. However, there is a threshold, before the benefits can be reaped, in terms of the need to build up a competency and skills set concerning the platform, SOA and microservices, as many providers of automation solutions are still doing the development in a traditional old monolithic style with hard-coded integrations between components and systems. Finally, we see an emerging trend to use a competent SOA-based platform in the development and operation of automation solutions.Godkänd;2022;Nivå 0;2022-02-18 (hanlid);Part of section: Applied Industrial Technologies</p

European roadmap for industrial process automation

This is an updated version of the ProcessIT. EU roadmap for industrial process automation, which was initially released in 2013 to provide guidance and input for process industry companies, providers of process industrial IT- and automation solutions, researchers as well as policy makers and bodies/initiatives that craft calls for RDI-projects. The main objective is for European process industry to stay competitive, profitable and sustainable. Thus, to support European process industry in its industrial process automation endeavours, the ProcessIT. EU roadmap outlines three top-level needs: sustainable production, competence management and trust, security, safety and privacy. These three top-level needs intersect the following ten R&amp;D areas: • Productivity, efficiency, scalability and flexibility • Sustainability through circular economy - circular economy through industrial internet • Distributed production/modular factories and services • Artificial Intelligence and Big Data • Autonomous plants and remote operations • Platform economy • Cybersecurity • Safety - human, machine and environment • Competences and quality of work • Human-Machine Interfaces and Machine- to-Machine communications, which in turn are used as building blocks in the nine gamechangers . The gamechangers aim to influence the process industries’ competitiveness, profitability and sustainability . The gamechangers are listed below: • Modular factory for distributed and automated production • Live virtual twins of raw-materials, process and products • Increased information transparency between field and ERP • Real-time data analytics • Dynamic control and optimisation of output tolerances • Process industry as an integrated and agile part of the energy system • Management of critical knowledge • Semi-autonomous automation engineering • Integrated operational and cybersecurity management Finally, the ProcessIT. EU roadmap provides an insight into what may need to be considered on strategic and tactical levels, in terms of: objec-tives, R&amp;D areas, game changers and business modelling, to keep and develop the competitive edge and initiative

A multi-usable cloud service platform : a case study on improved development pace and efficiency

The case study, spanning three contexts, concerns a multi-usable cloud service platform for big data collection and analytics and how the development pace and efficiency of it has been improved 50-75% by using the Arrowhead framework and changing development processes/practices. Further, additional results captured during the case study are related to technology, competencies and skills, organization, management, infrastructure, and service and support. A conclusion is that when offering a complex offer such as an Industrial Product-Service System, comprising sensors, hardware, communications, software, cloud service platform, etc., it is necessary that the technology, business model, business set up and organization all go hand in hand during the development and later operation, as all “components” are required for a successful result.Validerad;2018;Nivå 2;2018-02-26 (andbra)VinnVäx

An Initial Model for Zero Defect Manufacturing

This paper investigates an initial model for Zero Defect Manufacturing (ZDM) using a cost function where the operation and condition of a production process are reflected, and the quality of the output/product and the production process (as well as safety aspects) can be considered. The outset of the study is based on empirical data collected from five manufacturing companies, and proposes an initial model for ZDM with an Industry 4.0 perspective. The initial ZDM model has a generic setup for a real-life system and its replication as a digital twin using system models based on a representation of a generic production process with its connected control system, and potential interconnections between unit processes. It is based on concepts from system theory of dynamic systems and principles from condition monitoring and fault detection. In that way the model is deemed as highly generalizable for manufacturing and process industry companies as well as for some critical infrastructures with production and distribution systems. The proposed model with its cost function setup is analyzed and discussed in the context of ZDM. It is concluded that production processes in the manufacturing and process industry can be made more intelligent and interoperable using this approach. Improved sustainability, competitiveness, efficiency and profitability of companies are foreseen welcomed secondary effects. Finally, the proposed ZDM model further develops the ZDM by adding to it a systematic approach based on a solid mathematical foundation.Validerad;2020;Nivå 2;2020-07-08 (alebob)</p