Environmental legislation as a driver of design

and other research output

Complex Product Architecture Analysis using an Integrated Approach

yesProduct design decomposition and synthesis is a constant challenge with its continuously increasing complexity at each level of abstraction. Currently, design decomposition and synthesis analytical tasks are mostly accomplished via functional and structural methods. These methods are useful in different phases of design process for product definition and architecture but limited in a way that they tend to focus more on ‘what’ and less on ‘how’ and vice versa. This paper combines a functional representation tool known as System State Flow Diagram (a solution independent approach), a solution search tool referred as Morphology Table, and Design Structure Matrix (mainly a solution dependent tool). The proposed approach incorporates Multiple Domain Matrix (MDM) to integrate the knowledge of both solution independent and dependent analyses. The approach is illustrated with a case study of solar robot toy, followed by its limitations, future work and discussion

Complex Product Architecture Analysis using an Integrated Approach

yesProduct design decomposition and synthesis is a constant challenge with its continuously increasing complexity at each level of abstraction. Currently, design decomposition and synthesis analytical tasks are mostly accomplished via functional and structural methods. These methods are useful in different phases of design process for product definition and architecture but limited in a way that they tend to focus more on ‘what’ and less on ‘how’ and vice versa. This paper combines a functional representation tool known as System State Flow Diagram (a solution independent approach), a solution search tool referred as Morphology Table, and Design Structure Matrix (mainly a solution dependent tool). The proposed approach incorporates Multiple Domain Matrix (MDM) to integrate the knowledge of both solution independent and dependent analyses. The approach is illustrated with a case study of solar robot toy, followed by its limitations, future work and discussion

Beside the Seaside. The archaeology of the twentieth-century English seaside holiday experience: a phenomenological context.

A recent survey commissioned by English Heritage highlights the rich cultural history of the traditional English seaside resort (Brodie and Winter 2007). Emerging in the eighteenth century, these towns grew in significance before the advent of cheaper continental holidays in the 1960s signalled their demise. Nevertheless they retain an affectionate place within English social memory, and are in their own right distinctive maritime communities. Using an archaeological case study and a broadly phenomenological approach this contribution analyses the experience of the resort holiday through reference to place, space and materiality. Further, it seeks to situate the English seaside resort, as a functionally distinctive post-medieval urban and maritime phenomenon, within a global context of the archaeology of tourism

Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy

peer reviewedBackground: The phase IIIb, randomized, parallel-group, placebo-controlled ANDHI double-blind (DB) study extended understanding of the efficacy of benralizumab for patients with severe eosinophilic asthma. Patients from ANDHI DB could join the 56-week ANDHI in Practice (IP) single-arm, open-label extension substudy. Objective: Assess potential for standard-of-care background medication reductions while maintaining asthma control with benralizumab. Methods: Following ANDHI DB completion, eligible adults were enrolled in ANDHI IP. After an 8-week run-in with benralizumab, there were 5 visits to potentially reduce background asthma medications for patients achieving and maintaining protocol-defined asthma control with benralizumab. Main outcome measures for non–oral corticosteroid (OCS)-dependent patients were the proportions with at least 1 background medication reduction (ie, lower inhaled corticosteroid dose, background medication discontinuation) and the number of adapted Global Initiative for Asthma (GINA) step reductions at end of treatment (EOT). Main outcomes for OCS-dependent patients were reductions in daily OCS dosage and proportion achieving OCS dosage of 5 mg or lower at EOT. Results: For non–OCS-dependent patients, 53.3% (n = 208 of 390) achieved at least 1 background medication reduction, increasing to 72.6% (n = 130 of 179) for patients who maintained protocol-defined asthma control at EOT. A total of 41.9% (n = 163 of 389) achieved at least 1 adapted GINA step reduction, increasing to 61.8% (n = 110 of 178) for patients with protocol-defined EOT asthma control. At ANDHI IP baseline, OCS dosages were 5 mg or lower for 40.4% (n = 40 of 99) of OCS-dependent patients. Of OCS-dependent patients, 50.5% (n = 50 of 99) eliminated OCS and 74.7% (n = 74 of 99) achieved dosages of 5 mg or lower at EOT. Conclusions: These findings demonstrate benralizumab's ability to improve asthma control, thereby allowing background medication reduction. © 202

The benefits of predicting change in complex products: application areas of a DSM-based prediction tool

Most designers struggle to fully understand a complex product. Throughout the entire life cycle of a product engineers are frequently required to predict how changes could propagate. Currently, few methods or tools are available to support this process. This paper describes part of an ongoing research project that aims to support designers by (1) giving them a better understanding of the linkages between components within their product and (2) helping them to assess the risk of change propagation. The paper gives an overview of a DSM-based method of modelling products, discusses other potential applications of it within the design process and describes a developmental computer tool for visualising linkages and predicting change propagation

Use of Monte Carlo methods in the prediction of change propagation

Engineering change can have a major impact on the ability of firms to deliver design projects on time and to budget. Unexpected changes that arise during the development process can lead to expensive redesign. This paper describes a method being developed to predict the propagation of change through a product. An original technique involving counting along propagation paths is described and extended through the implementation of Monte Carlo methods to simulate change propagation

Product architecture and the propagation of engineering change

The majority of design activities involve adapting a known solution to meet new requirements. Therefore understanding the issue of engineering changes is of vital importance if companies are to deliver product development projects on time and to budget. Making a change to a product is, in most cases, a relatively simple process. However, unexpected propagation of changes can occur. What may initially appear as a simple procedure can dramatically turn into an expensive redesign that requires alterations to a wide range of components. This paper investigates how product architecture influences change propagation and uses a design case study to highlight the complexity of this issue as faced by designers during product development