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  • 1.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Modelling and simulation of support systems to predict operational availability2012Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    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.

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  • 2.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Predicting functional product availability and cost through a simulation driven approach2015Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    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.

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  • 3.
    Kyösti, Petter
    et al.
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    Nottingham University, School of Mechanical, Materials and Manufacturing, Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, Centre for Risk and Reliability Engineering, NTEC, The University of Nottingham.
    Prediction of service support costs for functional products2015Ingår i: Simulation modelling practice and theory, ISSN 1569-190X, Vol. 59, s. 52-70Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In the functional product business model, a customer is provided with functionality at a guaranteed level of availability under a pre-agreed pricing structure whilst the provider retains ownership of the hardware and provides a service support system to deliver services such as maintenance. The ability to accurately predict the costs of supporting functional product contracts is crucial to the provider in correctly pricing those contracts and for the development and implementation of an efficient service support system. Since the costs incurred are performance based and accumulated over a long duration, they are difficult to predict without effective modelling and decision support tools. This paper discusses a decision support tool that has been developed to provide detailed analysis of the predicted long-term costs of supporting functional product contracts. The tool features a web based user interface to allow collaborative use of the tool by multiple users. The cost predictions are obtained through a discrete event simulation model that emulates the performance of the hardware and service support system used by the provider to fulfil the functional requirements specified in the contracts. The simulations are executed on automatically provisioned remote web based servers, meaning that the computing resources utilised are not limited by the user’s client device. The tool is demonstrated via application to an industrial test case

  • 4.
    Kyösti, Petter
    et al.
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    University of Notttingham.
    Löfstrand, Magnus
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Andrews, John
    University of Notttingham.
    Karlsson, Lennart
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Dunnett, Sarah
    Loughborough University.
    Simulation of industrial support systems in the context of functional products2011Ingår i: Proceedings of the 19th AR2TS Advances in Risk and Reliability Technology Symposium: 12 - 14 April 2011, [Swan's Nest Hotel, Stratford-upon-Avon, Nottigham: University of Nottingham , 2011Konferensbidrag (Refereegranskat)
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  • 5.
    Kyösti, Petter
    et al.
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    Nottingham University, School of Mechanical, Materials and Manufacturing, Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham, NTEC, The University of Nottingham.
    Sjödin, Sven
    Bosch Rexroth Teknik AB, Gesällvägen 3, Örnsköldsvik.
    A Decision Support Tool for Optimising Support Site Configuration of Functional Products: Special Session: Product Development for Through-Life Engineering Services2014Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 22, s. 175-180Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The customization of the support site configuration (including the number, locations and capabilities of sites where maintenance staff are based) is of critical importance to functional product providers, who must provide maintenance support services for products operated by their customers at different locations and ensure that contractual guarantees for functional availability are met whilst keeping support costs under control. Since contract fulfilment costs are performance based and long term, they are difficult to predict without modelling. This paper discusses a decision support tool designed for use by management and engineering personnel at Functional Product providers to analyse and optimize the performance of their support base configuration. It features a graphical user interface for configuration customization, simulation modelling to predict performance and outputs a wide range of analytics that can be used to compare and optimize configurations. The tool is demonstrated via application to an industrial test case

  • 6.
    Lejon, Erik
    et al.
    Gestamp HardTech AB.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system. Luleå tekniska universitet, Institutionen för system- och rymdteknik, ProcessIT Innovations R&D Centre.
    Lindström, John
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system. Luleå tekniska universitet, Institutionen för system- och rymdteknik, ProcessIT Innovations R&D Centre.
    Machine learning for detection of anomalies in press-hardening: Selection of efficient methods2018Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, s. 1079-1083Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The paper addresses machine learning methods, utilizing data from industrial control systems, that are suitable for detecting anomalies in the press-hardening process of automotive components. The paper is based on a survey of methods for anomaly detection in various applications. Suitable methods for the press-hardening process are implemented and evaluated. The result shows that it is possible to implement machine learning for anomaly detection by non-machine learning experts utilizing readily available programming libraries/APIs. The three evaluated methods for anomaly detection in the press-hardening process all perform well, with the autoencoder neural network scoring highest in the evaluation.

  • 7.
    Lindström, John
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, ProcessIT Innovations R&D Centre. Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Eliasson, Jens
    ThingWave AB.
    Hermansson, Anders
    BnearIT AB.
    Blomstedt, Fredrik
    BnearIT AB.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, ProcessIT Innovations R&D Centre. Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Cybersecurity level in IPS2: A case study of two industrial internet-based SME offerings2018Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 73, s. 222-227Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    n a case study comprising two SMEs offering Industrial Product-Service Systems (IPS2) based on the industrial internet the paper addresses the current cybersecurity level of the two SMEs and the perceived need for added cybersecurity features. Cybersecurity is of crucial importance for most IPS2-offerings if they involve data communications, data collection and storage, and are also part of the customers’ critical processes (i.e., the core processes that always need to work with a high level of availability). The case study reveals that both IPS2-offerings have a basic level of core security spanning IoT-devices, IoT-networks, cloud services and users as well as administrators. Further, of interest is that the SMEs would like to add security cloud services with advanced security functionality in order to achieve scalability and efficiency regarding security- and general management as well as lifecycle management functionality. However, most of the security cloud services are mainly aimed at larger companies and not adapted for SMEs in terms of required knowledge, time and effort required to keep the security configurations up-to-date.

  • 8.
    Lindström, John
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Digitala tjänster och system.
    Hermanson, Anders
    Adage AB.
    Blomstedt, Fredrik
    BnearIT AB.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    A Multi-Usable Cloud Service Platform: A Case Study on Improved Development Pace and Efficiency2019Ingår i: Smart Sustainable Manufacturing Systems / [ed] Dimitrios Kiritsis and Gökan May, Basel, Switzerland: MDPI, 2019, s. 38-51Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    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 by 50–75% by using the Arrowhead framework and changing development processes/practices. Furthermore, 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 setup, and organization all go hand in hand during the development and later operation, as all ‘components’ are required for a successful result.

  • 9.
    Lindström, John
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Hermanson, Anders
    Adage AB.
    Hellis, Mats
    Adage AB.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Optimizing recycling management using industrial internet supporting circular economy: a case study of an emerging IPS22017Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 64, s. 55-60Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The paper concerns a case study about optimizing recycling management in terms of emptying containers holding, for instance, glass, paper, plastics or metal waste collected, thus supporting sustainability of natural resources and the circular economy. The case has been followed from the very start all the way to the current transformation into an IPS2 sold on a subscription basis. The main results of the case study suggest that the provider side must change considerably in terms of the business and organizational set-up, which has been challenging compared to the necessary, though more easily implemented, technological changes. Further, the IPS2 customers foresee improved efficiency and a decrease in unnecessary work if containers are emptied on time. In addition, the core of the IPS2 seems generalizable and transferable to other applications where collection and analysis of data are needed to support decision-making.

  • 10.
    Lindström, John
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Källström, Elisabeth
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Development and Operation of Functional Products: Improving knowledge on availability through use of monitoring and service related data2017Ingår i: Through-life Engineering Services / [ed] Redding, Louis, Roy, Rajkumar, Shaw, Andy, Springer International Publishing , 2017, s. 113-132Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The book chapter addresses which measures five manufacturing companies have taken, or plan to take, regarding use of data originating from monitoring, service, support, maintenance, repairs as well as other sources, in order to improve the knowledge on availability in the context of providing Functional Products. Commonly, the objective of Functional Products is to provide a function to customers with a specified level of availability (or improvement of productivity or efficiency). The results indicate that systematic planning and collection of relevant data, which is either pre-processed on-board (i.e., locally) or sent as is to central or cloud-based storage and processing, in combination with additional necessary data from other sources, is crucial to build knowledge in order to uphold and improve the level of availability agreed upon with customers. As the use of software in Functional Products increases, the knowledge on availability related to software must be augmented—which can be a challenge for many companies whose operations have been rooted in hardware. Further, the results reveal that getting high-quality input is key in order to use the collected data for analytics and to find root causes. The latter may change how the current value-chain operates and secures the quality of necessary data when providing functions to customers if partners are involved in the provider consortium.

  • 11.
    Lindström, John
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Digitala tjänster och system.
    Lejon, Erik
    Gestamp Hardtech AB.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Mecella, Massimo
    University of Sapienza.
    Heutelbeck, Dominic
    FTK.
    Hemmje, Matthias
    FTK.
    Sjödahl, Mikael
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.
    Birk, Wolfgang
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Gunnarsson, Bengt
    Data Ductus AB.
    Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context2019Ingår i: Procedia CIRP, vol 81 / [ed] Edited by Peter Butala, Edvard Govekar, Rok Vrabič, Elsevier, 2019, Vol. 81, s. 880-885Konferensbidrag (Refereegranskat)
    Abstract [en]

    The paper addresses intelligent and sustainable production achieved through combination and integration of online predictive maintenance, monitoring of process parameters and continuous quality control of both input materials and output from the process. This enables production systems, within both manufacturing and process industries, to move towards zero-defect manufacturing. Such a zero-defect manufacturing approach allows for earlier identification of problems or issues, which will or already negatively affect the output. The paper outlines the first part of the second cycle of an action research effort at Gestamp HardTech AB in Sweden, whose objective is to keep its position as a world-leading provider of press-hardened vehicle parts. In order to fully implement the zero-defect manufacturing approach, 4-6 action research cycles are expected to be needed in order to iteratively refine the approach. During the first cycle, various methods and solutions for some of the individual issues/problems have been conceptualized, realized and initially tested. The selected design criteria for the action research efforts were: simplicity, low cost, robustness, high-quality output and future-proofing. The result from the research in the second cycle so far is an action plan for the technical change and a set of challenges/problems which need additional investigation.

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  • 12.
    Löfstrand, Magnus
    et al.
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Backe, Björn
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Lindström, John
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    Nottingham University, School of Mechanical, Materials and Manufacturing.
    A model for predicting and monitoring industrial system availability2012Ingår i: International Journal of Product Development, ISSN 1477-9056, E-ISSN 1741-8178, Vol. 16, nr 2, s. 140-157Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper describes the integration of a sensor data stream monitoring system into a proposed functional product model capable of predicting functional availability. Such monitoring systems enable predictive maintenance to be carried out pre-emptive maintenance that is scheduled in response to imminent hardware failure and are in widespread use in industry. The industrial motivation for this research is that agreed upon system availability is a critical element of any business-to-business agreement regarding functional sales. Such a model is important when making strategic choices regarding FPs and can be used to develop a high availability product design through simulation driven development, as well as to provide operational decision support that reflects the current reality to enable optimal availability to be achieved in practice. The proposed model integrates hardware, support system and monitoring system models, and is able to incorporate actual operational data. It has been partly verified based on previous research.

  • 13.
    Löfstrand, Magnus
    et al.
    Uppsala universitet.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    Nottingham Transportation Engineering Centre, Faculty of Engineering, University of Nottingham.
    Backe, Björn
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Evaluating availability of functional products through simulation2014Ingår i: Simulation (San Diego, Calif.), ISSN 1569-190X, E-ISSN 1878-1462, Vol. 47, s. 196-209Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A functional product is an integrated package consisting of hardware, software and a service support system that provides a customer with a certain function and is sold under a performance-based contract that includes a functional availability guarantee. For the availability performance, prediction, optimisation and management of risk are therefore important concerns during product development. This paper describes a software tool that can generate an integrated model of a functional product from its design details and analyse it through simulation to provide availability performance information. The model's application to the analysis of a real industrial system is demonstrated. Such tools are important for the development and widespread adoption of functional products. The resulting analysis gave an indication of a suitable guaranteed functional availability level for the product and could be used to compare the performance of different design options.

  • 14.
    Reed, Sean
    et al.
    University of Notttingham.
    Andrews, John
    University of Notttingham.
    Dunnett, Sarah
    Loughborough University.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Backe, Björn
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Löfstrand, Magnus
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Karlsson, Lennart
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    A modelling language for maintenance task scheduling2012Ingår i: 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012: PSAM11, ESREL 2012, 2012, Vol. 1, s. 201-211Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a modelling language for representing the details necessary to analyse and model the implementation of maintenance strategies for generic hardware. The maintenance strategy determines which, and when, restorations and inspections should take place whilst the scheduling of maintenance tasks implements these goals. The manner of maintenance strategy implementation therefore has important implications for maintenance cost and other performance metrics. Despite this, maintenance strategy optimisation models found in the literature lack detailed maintenance implementation models, which may lead to inaccurate and misleading results. The presented modelling language permits the representation of all common constraints and outcomes between maintenance tasks that influence task schedules. In doing so, it provides a platform for the future development of maintenance task schedule modelling, planning and decision support tools. The modelling language is demonstrated through application to part of a car braking system

  • 15.
    Sas, Daria
    et al.
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Kyösti, Petter
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Karlberg, Magnus
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Reed, Sean
    Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Produkt- och produktionsutveckling.
    Toward an improved strategy for Functional Product development by predicting environmental and economic sustainability2017Ingår i: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 59, s. 208-213Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Functional Product (FP) has emerged as a business concept aimed at offering a function or performance, mainly in business-to- business applications, on an agreed upon level of availability and cost as well as at providing incitements towards a sustainable growth. Today the literature expanded into various specific approaches and IT solutions measuring sustainability. However, the literature lacks such approaches within the FP context. This explorative paper proposes on a conceptual level a strategy to predict a sustainability impact of an FP in terms of environmental and economic sustainability and optimize the FP configuration. This strategy is based on scenario modelling and simulation -driven approach. The practical significance of the proposed strategy lies in its implication to avoid costly “trial and error” method performed in the real world and to enable the development of more sustainable products. Through the proposed strategy, it is foreseen that sustainability impact can be quantified and minimised during the FP system development.

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