A review of information flow diagrammatic models for product-service systems

A product-service system (PSS) is a combination of products and services to create value for both customers and manufacturers. Modelling a PSS based on function orientation offers a useful way to distinguish system inputs and outputs with regards to how data are consumed and information is used, i.e. information flow. This article presents a review of diagrammatic information flow tools, which are designed to describe a system through its functions. The origin, concept and applications of these tools are investigated, followed by an analysis of information flow modelling with regards to key PSS properties. A case study of selection laser melting technology implemented as PSS will then be used to show the application of information flow modelling for PSS design. A discussion based on the usefulness of the tools in modelling the key elements of PSS and possible future research directions are also presented

Designing a Reference Model for Digital Product Configurators

Since the manufacturing industry is nowadays facing increasingly heterogeneous customer requirements, digital product configurators (DPC) have become a popular means for integrating customers into organizational value creation. DPC are information systems, which serve as a frontend to the customer and enable the individualization of products. The design of such a DPC is time consuming, expensive and lacks appropriate models offering guidance for its development. The paper at hand addresses these issues by providing a reference model (RM) for DPC development. The model has been constructed by means of an extensive literature review and was subsequently demonstrated and evaluated in a real world scenario. In order to ensure a flexible and individual development of company specific DPC the RM includes adaptation mechanisms. Therefore, our research provides a first building block to the endeavor of facilitating or even automating DPC development

Predicting Requirement Change Propagation Using Higher Order Design Structure Matrices: An Industry Case Study

This research examines higher order design structure matrices as requirements change modelling tools to predict requirement change propagation through two large-scale industry design projects. Due to the iterative nature of design, requirements will evolve and change. Changes in requirements can propagate to other requirements on different subsystems leading to possible increases in the project cost and lead-time. Predicting these requirement changes enables the designers to foresee unanticipated changes and maximises the probability for the project\u27s success. These studies reveal that second-order relationships are influential in predicting requirement change propagation. Unforeseen propagation occurring in first-order form was rare, rather it was occurring in second order. Modelling requirements change exposes these secondary relationships early in the engineering change (EC) definition process, thereby enhancing the decision-making process and augmenting cost estimation. A modelling tool, such as that proposed in this paper, can provide the designer insight into the requirements which may be affected before approving an EC

Modular product development for mass customization

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Modelling information flow for organisations delivering microsystems technology

Motivated by recent growth and applications of microsystems technology (MST), companies within the MST domain are beginning to explore avenues for understanding, maintaining and improving information flow, within their organisations and to/from customers, with a view to enhancing delivery performance. Delivery for organisations is the flow of goods from sellers to buyers and a classic approach to understanding information flow is via the use of modelling techniques. Cont/d

CONFIGURATION MANAGEMENT IN MANUFACTURING AND ASSEMBLY: CASE STUDY AND ENABLER DEVELOPMENT

The overall goal of this research is to improve the product configuration change management process. The increase in the demand for highly customizable products has led to many manufacturers using mass customization to meet the constantly changing demands of a wide consumer base. However, effectively managing the configurations can be difficult, especially in large manufacturers or for complex products with a large number of possible configurations. This is largely due to a combination of the scope of the configuration management system and the difficulty in understanding how changes to one element of a configuration can propagate through the configuration system. To increase the engineer\u27s ability to understand the configuration management system and how changes can affect it, an improved method is required. Based on the results of a case study at a major automotive OEM, a configuration change management method is developed to address the aforementioned gap. In addition, a set of design enablers is deployed as part of the method. The major contribution of this work is the improved method for configuration change management and the use of graph visualization in exploring configuration changes. The use of graph visualizations for configuration management is validated through a user study, four implementation studies using ongoing configuration changes at the OEM, and user feedback and evaluation. The method is validated through application in three historical cases and user feedback. The results show that the method increases the capabilities of the engineer in exploring a proposed configuration change and identifying any potential errors

Computational Representation And Reasoning Support For Requirements Change Management In Complex System Design

Requirements play a critical role within any design process and the activity of identifying and maintaining a system\u27s requirements is essential to. However, design is a complex and iterative process, where requirements are continuously evolving and are volatile. This change, if not managed, may result in undesired uncertainty within the design process leading to monetary losses and time delays, as the changing of requirements has been recognized as a major cause of project failure. In order to mitigate issues that arise due to requirement change propagation, this research presents a computational reasoning tool to help designers and engineers predict change propagation in the requirements domain. The developed tool makes use of requirements syntactical elements to build relationships between requirements. Two heterogeneous industry case studies, spanning four engineering change propagations, are used to both explore the use of requirements in predicting change propagation and generalize an automated prediction tool. Using design structure matrices and graph theoretic based metrics a predictive model is generalized from 491,520 relationship and metric permutation combinations. The developed tool makes use of an RMS scoring algorithm to rank requirements in order of most likely to change due to previous requirement changes. The developed tool is tested against a third industry case study where five engineering changes are predicted. Results indicate the tool can predict sixty percent of change propagation within the top four percent requirements scoring and predict all change propagation within the top thirteen percent scoring