Evaluating availability of functional products through simulation

Löfstrand, Magnus; Kyösti, Petter; Reed, Sean; Backe, Björn

doi:10.1016/j.simpat.2014.05.011

Cited by 12 publications

(6 citation statements)

References 7 publications

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“…Reed et al [48], for instance, proposed a model-based approach that can generate an integrated description of both hardware reliability and service support processes-including details such as maintenance task unreliability-making it possible to compare and optimize hardware and service configuration choices early in the design process. Others [49] described a tool capable of converting a description of a functional product into a model, analyzing it through simulation to predict its availability in operation. Optimization models for PSS configuration have also been proposed (e.g., [50]), which make it possible to mix and match product 'modules' to find the most optimal combination from a lifecycle perspective (i.e., the one with the highest expected profit over 15 years), considering how the product will be recovered and reused/remanufactured/recycled at end of life.…”

Section: Model-based Decision Support For Pss Designmentioning

confidence: 99%

The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

Wall

Bertoni

Larsson

2020

Systems

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The shift towards Product-Service Systems (PSS) stresses the need to embed new and unique capabilities in Decision Support Systems, with the aim of helping the engineering team in handling the pool of information and knowledge available during decision events. Emerging from a multiple case study in the Swedish manufacturing industry, this paper describes the development of the Model-Driven Decision Arena (MDDA), an environment for collaborative decision-making that focuses on the early design phases of PSS. Based on the findings from multiple case studies, this paper illustrates the main goals of the MDDA, detailing its main functions, its physical environment, and its software architecture and models. This paper demonstrates the use of the MDDA in a case study related to the development of an asphalt compactor, presenting and discussing the results of verification activities conducted with industrial practitioners on the current MDDA prototype.

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Section: Model-based Decision Support For Pss Designmentioning

confidence: 99%

The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

Wall

Bertoni

Larsson

2020

Systems

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“…Predicting availability and support requirements for system designs in the particular customer application is therefore essential for setting FP contract terms, including pricing and guaranteed availability levels, and providing hardware of a design that minimises support costs and the risk of penalties due to excess downtime. Prior work in the area of functional product availability and support cost modelling includes Löfstrand et al [7], who presented a simulation model for combined hardware and service support system, and Reed et al [8], who presented a modelling language for the representation of a service support system. Modelling the availability of a system in a particular application requires recalculation of component environment (stress) and reliability for different functional output.…”

Section: Background and Related Workmentioning

confidence: 99%

Estimating the Availability of Hydraulic Drive Systems Operating Under Different Functional Profiles Through Simulation

Reed

Löfstrand

2015

Safety and Reliability

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Hydraulic drive systems are widely used in a variety of industrial applications where high torque and low speed rotational power are required. The advantages include maximum torque from zero speed, continuously variable speed within wide limits, high reliability and insensitivity to shock loads. A drive system consists of a hydraulic circuit, electric motors, hydraulic pumps, hydraulic motors and auxiliary components. The stress on the components, and hence wear and failure rate, varies with the torque and speed output by the drive. The reliability of a hydraulic drive system of a particular design can therefore vary significantly between installations operating in applications with different functional requirements. Predicting the availability of a drive system in a particular application is useful for several purposes such as optimising the system design and estimating support costs. This paper describes a simulation model, developed to estimate the availability of a hydraulic drive system in a given functional profile, consisting of output torque and speed time phase requirements. It outputs statistics on system availability and component failure rates. As an example, the simulation model is used to compare these statistics for a drive design operating under two distinct operational profiles. 1.

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“…Quite a significant feature in the design process is the systematic failure model simulations, like Löfstrand et al's [7] Partitioned Multi-objective Risk Method (PMRM). Then, the Heikkinen and Müller's [8] design research methodology is applied to further develop the Engineering Workbench into a versatile design support system and expand the functionality to include producibility assessment.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Driven Development of Combustion Engines: Theory and Examples

Frondelius

Tienhaara

Kömi

et al. 2018

SAE Technical Paper Series

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T his paper describes the simulation-driven design process used in engines technology. The research question is "how to use research in the structural analysis and dynamics field to ensure world-class product development?" This paper describes research on simulation methodologies from the design process perspective, demonstrating the need for research in various steps of product development. Each section of the paper includes one or two practical examples in which research was needed to increase product design quality. In the product definition section, the Digital Design Platform (DDP) shows the coupling between product requirements and simulation tasks. At the concept design stage, it is shown that computational methods can optimize the placement of material in the case of the main bearing cap topology. The second example is JuliaFEM, an open-source finite element method (FEM) platform, which is suitable for heavy-duty method development, where the internals of the FE solver is needed to make new calculation methodologies available. The next section is about detailed design, where an example of an oil sump welds fatigue illustrates the continuous improvement of the simulation methodology. The second example is connecting rod fretting calculation, which illustrates the full complexity of the structural analysis and dynamics simulations. The second last process step is the virtual validation, where first the cylinder head simulation methodology shows the internal connections between different disciplines' simulations. Another example here is the crankshaft virtual validation process, which describes the complexity of the "simple" component calculation as well as illustrates the number of needed competencies. Finally, in the validation process step, Big Data analyses describe the internals and complexity of the methodologies. Lastly, counterweight measurement device development illustrates that validation of the simulation models and methods sometimes leads toward a measurement device development project. As a conclusion, all the previous methodologies are used to build the Wärtsilä 31 engine, which is the most efficient four-stroke engine in the world. It is, of course, a performance achievement, but a lot of research in simulation methodologies, as explained, was needed to make a reliable product with such a high cylinder peak pressure.

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Evaluating availability of functional products through simulation

Cited by 12 publications

References 7 publications

The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

The Model-Driven Decision Arena: Augmented Decision-Making for Product-Service Systems Design

Estimating the Availability of Hydraulic Drive Systems Operating Under Different Functional Profiles Through Simulation

Simulation-Driven Development of Combustion Engines: Theory and Examples

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