During the last few decades, and in order to increase product development efficiency, simulations strategies have been developed to guide designers towards better solutions rather than to verify suggested and basically unevaluated solutions. Such approaches are often called Simulation Driven Design (SDD), which is of interest in this review. The objective of this paper is to show the research evolution of SDD and identify the state of the art in SDD methodology. The literature review comprises several hundred references, of which 79 are included in this paper. The results comprise the state of the art in simulation driven design including the history, various definitions, criteria and effects of using SDD approaches.
The development process for a Functional Product (FP) is complex and there is a need to coordinate, monitor, control and share information as well as to communicate properly among the parties involved in the process. This paper proposes a conceptual development process to manage the FP development, including development of hardware, software, service support system, and how to manage the operation of an FP. Further, challenges related to the integrated development of FPs are also discussed.
The development process for a Functional Product (FP) is complex and there is a need to share information as well as to communicate it among the parties involved in the process. The paper concerns shared information that is of specific interest when developing FPs, in contrast to information that must be shared during a general product or service development process. The findings are compiled in a conceptual table comprising such specific information items pertaining to both the initial development as well as post development parts of an FPs lifecycle. This table can be used as an aid to any development process or method, as it points out information items that must necessarily be shared, but not how they to be shared.
Based on empirical studies combined with a literature review, the paper proposes a comprehensive framework defining Functional Products (FP) through their constituents. The framework adds additional specificity to the literature by identifying and discussing existing and emerging constituents of FP, shedding further light on what is needed to create a long and trustful win-win situation between providers and customers in an FP context.
The research concerns identification of parameters important for the studied organisation's success in service concept design and delivery. Knowledge was gathered through interviews and participation in daily industrial work activities. The gathered knowledge was used for developing a MATLAB-based simulation model, of which the purpose is to improve the studied company's ability to develop hardware-based services at an early concept stage, and to simulate, beforehand, the predicted performance of a given service scenario. This approach minimises the cost of each concept and allows simulation of several different concepts before the actual work is done.
This paper describes on a conceptual level how the availability of functional products (consisting of hardware (HW) and a support system) may be simulated. The main objective of this paper is to present a simulation-driven methodology for predicting and optimising the availability and cost of functional products in both development and operation. The proposed simulation and optimisation methodology includes both HW and support system models, which coupled form a simulation model of a system (functional product) delivering the function. Two different simulation-driven methodologies are suggested in the paper: one for development and another for operation of functional products
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.
This paper discusses creation of a support tool (SIMULINK model) for collaborative work process modelling and optimisation based on Simulation Driven Design (SDD). The purpose is to improve the studied company's ability to develop hardware-based services in an early concept stage, and to predict performance of a given service scenario before development. The approach is useful as a decision-support tool in evaluating and prioritising business offers and activities in the business offer process. The modelling and simulation approach minimises the cost of each concept and allows simulation of a number of different concepts before the actual work is carried out
Functional products (FP), total offers or product service systems, that comprise of both hardware (HW) and support services (SS) sold as an integrated offering under an availability guarantee, are becoming increasing popular in industry. This paper addresses, through modelling and simulation, the challenge faced by suppliers in developing an integrated HW and SS design to produce an FP which meets contracted availability. A recently published framework specified how an integrated model hardware and service support system model could be used to obtain functional availability predictions and perform simulation driven functional product development. This paper presents the first example of an integrated functional product model. It uses fault tree, Petri net and discrete event simulation techniques to enable the prediction of functional product availability and support costs. Such predictions are used here to evaluate and compare different service support system designs.