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| 2. |
- Kyösti, Petter, et al.
(author)
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A Decision Support Tool for Optimising Support Site Configuration of Functional Products : Special Session: Product Development for Through-Life Engineering Services
- 2014
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In: Procedia CIRP. - : Elsevier BV. - 2212-8271 .- 2212-8271. ; 22, s. 175-180
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Journal article (peer-reviewed)abstract
- 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
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| 3. |
- Kyösti, Petter, et al.
(author)
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A decision support tool for optimising support site configuration of Functional Products
- 2014
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In: Proceedings of the 3rd International Conference in Through-life Engineering Services. - : Elsevier. ; , s. 175-180
-
Conference paper (peer-reviewed)abstract
- 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.
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| 4. |
- Kyösti, Petter
(author)
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Modelling and simulation of support systems to predict operational availability
- 2012
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Licentiate thesis (other academic/artistic)abstract
- 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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| 5. |
- Kyösti, Petter
(author)
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Predicting functional product availability and cost through a simulation driven approach
- 2015
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Doctoral thesis (other academic/artistic)abstract
- 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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| 6. |
- Kyösti, Petter, et al.
(author)
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Prediction of service support costs for functional products
- 2015
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In: Simulation modelling practice and theory. - : Elsevier. - 1569-190X .- 1878-1462. ; 59, s. 52-70
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Journal article (peer-reviewed)abstract
- 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.
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| 7. |
- Kyösti, Petter, et al.
(author)
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Process-SME Project : Exceeded Expectations
- 2019
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Reports (pop. science, debate, etc.)abstract
- This publication ‘Process-SME Project – Exceeded Expectations’ introduces a Nordic project Process-SME, which main objective is to improve the competitiveness of SMEs whose customers are found within the process, mining, energy, oil, and gas industries. The project supports these SMEs by identifying their needs and potential opportunities, developing new business models, building European partnerships and applying for EU-level funding for project proposals on SMEs’ business behalf. Furthermore, the Process-SME project aims to develop SMEs’ products, services and other offerings.
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| 8. |
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| 9. |
- Kyösti, Petter, et al.
(author)
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Simulation of industrial support systems in the context of functional products
- 2011
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In: Proceedings of the 19th AR2TS Advances in Risk and Reliability Technology Symposium. - Nottingham : University of Nottingham. ; , s. 275-288
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Conference paper (peer-reviewed)abstract
- Functional Products, consisting of hardware and service support systems owned by the supplier, are sold to customers with a guaranteed availability of the function. The availability achieved is dependent on the reliability of both hardware and the service support system. The reliability of the latter can be defined as its ability to provide the required maintenance services in a timely manner. This paper reports simulation of a service support system from an industrial case study in order to predict its reliability. To identify and develop a suitable case together with an industrial partner company, a number of phone meetings were held in order to explain the research question, interview knowledgeable people and plan on-site visits and interviews. A number of interviews face to face were carried out with the industrial partners, where the goal was to obtain enough information to be able to model the support system correctly. The research involved both qualitative information gathering and applied computer aided simulation. An improved model for simulating a service support system is developed that considers the context in which the maintenance procedures are performed within a Functional Product. A software implementation of the model, developed by the authors, is applied to simulate the case study service support system in various scenarios such as different personnel availability and number of systems supported. The results show how the modeling can be used to improve and predict the reliability of the service support system
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| 10. |
- Kyösti, Petter, et al.
(author)
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SOA-Based Platform Use in Development and Operation of Automation Solutions: Challenges, Opportunities, and Supporting Pillars towards Emerging Trends
- 2022
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In: Applied Sciences. - : MDPI. - 2076-3417. ; 12:3
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Journal article (peer-reviewed)abstract
- 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.
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