Attribute and technology value mapping for conceptual product design phase
The main focus of this paper is how the concept design phase of the product development process can be improved by using an objective data-driven approach in selecting a final concept design to progress further. A quantitative new test-bed ‘Product Optimisation Value Engineering’ (PROVEN) is presented to critically assess new and evolving powertrain technologies at the concept design phase. The new test-bed has the ability to define a technology value map to assess multiple technical options as a function of its attributes, whose precise values can be determined at a given cost. A mathematical model that incorporates a highly adaptable, data-driven and multi-attribute value approach to product specification and conceptual design is developed, novel to the concept design process. This creates a substantially optimised product offering to the market, reducing overall development costs while achieving customer satisfaction
Published inProcs of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
RelationsSchool of Engineering and Technology
Hertfordshire Business School
MetadataShow full item record
Showing items related by title, author, creator and subject.
Design of Body Assemblies with Distributed Tasks Under the Support of Parametric Associative Design (PAD) Tecklenburg, Gerhard (2011-05-18)This investigation identifies how CAD models of typical automotive body assemblies could be defined to allow a continuous optimisation of the number of iterations required for the final design and the number of variants ...
Shatwan, Alaa Mohammed (2018-07-13)Architecture in Jeddah city in the western region of the Kingdom of Saudi Arabia (KSA) has gradually undergone a significant shift in style, a consequence of the implementation of contemporary Western architecture after ...
Malizia, Alessio (2018-10-03)The increasing complexity of patented mechanical designs means that their novelty and inventive steps increasingly rely on interacting geometric features and how they contribute to device functions. These features and ...