Modularity in support of design for re-use

We explore the structuring principle of modularity with the objective of analysing its current ability to meet the requirements of a 're-use' centred approach to design. We aim to highlight the correlation's between modular design and 're-use', and argue that it has the potential to aid the little-supported process of 'design-for-re-use'. In fulfilment of this objective we not only identify the requirements of 'design-for-re-use', but also propose how modular design principles can be extended to support 'design-for-re-use'

Supporting 'design for reuse' with modular design

Engineering design reuse refers to the utilization of any knowledge gained from the design activity to support future design. As such, engineering design reuse approaches are concerned with the support, exploration, and enhancement of design knowledge prior, during, and after a design activity. Modular design is a product structuring principle whereby products are developed with distinct modules for rapid product development, efficient upgrades, and possible reuse (of the physical modules). The benefits of modular design center on a greater capacity for structuring component parts to better manage the relation between market requirements and the designed product. This study explores the capabilities of modular design principles to provide improved support for the engineering design reuse concept. The correlations between modular design and 'reuse' are highlighted, with the aim of identifying its potential to aid the little-supported process of design for reuse. In fulfilment of this objective the authors not only identify the requirements of design for reuse, but also propose how modular design principles can be extended to support design for reuse

An Adaptive Design Methodology for Reduction of Product Development Risk

Embedded systems interaction with environment inherently complicates understanding of requirements and their correct implementation. However, product uncertainty is highest during early stages of development. Design verification is an essential step in the development of any system, especially for Embedded System. This paper introduces a novel adaptive design methodology, which incorporates step-wise prototyping and verification. With each adaptive step product-realization level is enhanced while decreasing the level of product uncertainty, thereby reducing the overall costs. The back-bone of this frame-work is the development of Domain Specific Operational (DOP) Model and the associated Verification Instrumentation for Test and Evaluation, developed based on the DOP model. Together they generate functionally valid test-sequence for carrying out prototype evaluation. With the help of a case study 'Multimode Detection Subsystem' the application of this method is sketched. The design methodologies can be compared by defining and computing a generic performance criterion like Average design-cycle Risk. For the case study, by computing Average design-cycle Risk, it is shown that the adaptive method reduces the product development risk for a small increase in the total design cycle time.Comment: 21 pages, 9 figure

Technologies and strategies to design sustainable tourist accommodations in areas of high environmental value not connected to the electricity grid

As envisaged in the Agenda for a sustainable and competitive European tourism, the adoption of an holistic and integrated approach and the use of the best available knowledge and technologies are key aspects to ensure a sustainable tourism. In particular, policies and actions should be planned considering the latest and best available knowledge, analyzing at the same time all the related impacts on the area of intervention. In this context, the purpose of this paper is to describe an approach for designing sustainable tourist accommodations that allow the fruition of areas characterized by high environmental values minimizing the related impacts on the surrounding environment and sensitizing users towards preservation and conservation of natural resources. In the proposed approach three aspects of tourist accommodation have been considered: the system component, the building envelope and the integration between them. As a result, the architectural structures designed, including their materials, shape, energy efficiency, modularity and removability, are in line with the standards of bio-architecture. The materials used, complying with the technical requirements and the technological needs of the tourist accommodations, are mostly recycled or reusable, coming from the surrounding area or of easy integration in the landscape. The components , that constitute the accommodations, are easy to assemble and disassemble for reuse them in another area, without changing the environmental conditions in the site. Some elements are precast and completed on site with local materials, moreover the modularity allows a high adaptability to different environmental and morphological conditions. To apply these architectural structures even in places without services and distribution networks of energy and water, special attention has been given to innovative and sustainable energy solutions: Liquefied petroleum gas (LPG) has been used as the only energy vector, combined with a cogeneration plant to provide heat and electric energy as well as with particular building envelopes that allow the transfer of LPG into the walls for provide energy to innovative gas appliances. Lastly, in order to assess the environmental impact of the proposed approach, it has been analyzed the environmental insertion of these structures for tourist accommodation in the Circeo National Park, in Italy

Product lifecycle optimisation of car climate controls using analytical hierarchical process (Ahp) analysis and a multi-objective grouping genetic algorithm (mogga)

© School of Engineering, Taylor’s University. A product’s lifecycle performance (e.g. assembly, outsourcing, maintenance and recycling) can often be improved through modularity. However, modularisation under different and often conflicting lifecycle objectives is a complex problem that will ultimately require trade-offs. This paper presents a novel multi-objective modularity optimisation framework; the application of which is illustrated through the modularisation of a car climate control system. Central to the framework is a specially designed multi-objective grouping genetic algorithm (MOGGA) that is able to generate a whole range of alternative product modularisations. Scenario analysis, using the principles of the analytical hierarchical process (AHP), is then carried out to explore the solution set and choose a suitable modular architecture that optimises the product lifecycle according to the company’s strategic vision

Human-centred design methods : developing scenarios for robot assisted play informed by user panels and field trials

Original article can be found at: http://www.sciencedirect.com/ Copyright ElsevierThis article describes the user-centred development of play scenarios for robot assisted play, as part of the multidisciplinary IROMEC1 project that develops a novel robotic toy for children with special needs. The project investigates how robotic toys can become social mediators, encouraging children with special needs to discover a range of play styles, from solitary to collaborative play (with peers, carers/teachers, parents, etc.). This article explains the developmental process of constructing relevant play scenarios for children with different special needs. Results are presented from consultation with panel of experts (therapists, teachers, parents) who advised on the play needs for the various target user groups and who helped investigate how robotic toys could be used as a play tool to assist in the children’s development. Examples from experimental investigations are provided which have informed the development of scenarios throughout the design process. We conclude by pointing out the potential benefit of this work to a variety of research projects and applications involving human–robot interactions.Peer reviewe

Multi-objective grouping genetic algorithm for product life-cycle optimisation

A product’s lifecycle performance (e.g. assembly, outsourcing, maintenance and recycling) can often be improved through modularity. However, modularisation under different and often conflicting lifecycle objectives is a complex problem that will ultimately require trade-offs. This paper presents a novel multi-objective modularity optimisation framework; the application of which is illustrated through the modularisation of a car climate control system. Central to the framework is a specially designed multi-objective grouping genetic algorithm (MOGGA) that is able to generate a whole range of alternative product modularisations. Scenario analysis, using the principles of the analytical hierarchical process (AHP), is then carried out to explore the solution set and choose a suitable modular architecture that optimises the product lifecycle according to the company’s strategic vision