Search results for "robust design"
showing 8 items of 18 documents
Statistical issues in the development of an automotive on-board diagnostics
2008
The automotive on-board diagnostics (OBD) is a complex system whose aim is to monitor the state-of-health of another complex system, i.e. the vehicle engine. OBD aimed at the containment of polluting exhaust emissions is nowadays compulsory on every vehicle model introduced into the market. Increasingly stringent regulations and ever more demanding customers push from opposite sides towards a perfect working of OBD systems. Therefore manufacturers are globally interested in the high robustness and reliability of such critical systems. The aim of this presentation is to give an insight into the main statistical problems arisen during an extensive research project carried out in collaboration…
Focus on failure avoidance and risk reduction through Variation Mode and Effect Analysis
2009
Variation Mode and Effect Analysis (VMEA) is a quality improvement tool initially thought to help product development engineers focusing on variation. The method was inspired by the wide use of Failure Mode and Effect Analysis (FMEA) in business and industry and the increased attention on robust design. However, FMEA is based on the concept of failure while VMEA is developed on the concept of variation, i.e. it implies a step further toward the awareness of variation and its implications in terms of risk and failures. VMEA helps identifying, scrutinizing and measuring the sources of variation and the way they channel through and impact on important characteristics of the system under study.…
Statistical-based tolerance setting by eliciting the loss function reasoining
2009
An issue still open in the statistical-engineering literature concerns the tolerance allocation, i.e. the setting of admitted limits for critical characteristics or performances of interest of the system under study. A common approach to tolerance allocation is based on the idea of Loss function initially developed by Taguchi. Unfortunately, some obstacles prevent from a full exploitation of the Taguchi approach, since despite its clarity and elegance, it is poorly operational. Based on Taguchi’s proposal, researchers have been more concerned on developing different analytical models of loss function than clarifying the reasoning behind the loss function idea. So there is a missing link for…
New frontiers of Robust Design with applications to motorcycles
2012
Most of the literature on Robust Design has so far focused on making technical performances of products and processes as much insensitive as possible to the action of noise factors, often representing physical variables. When studying the human-machine interaction, we can try to achieve system robustness to “human” noise factors in general, by considering variations in: psychological impact, body shapes and cognitive psychology in usage. These are new frontiers of Robust Design. This work started from three research lines, namely Kansei Engineering, Robust Ergonomic Design, and Human Machine interface design, the former involving cognitive and psychological aspects within product placement,…
Robust Dynamic Comfort Modeling for Motorcycle Riding
2014
Comfort modeling is considered a prerequisite in motorcycle design, primarily to address safety concerns and to position the product on the market. However, a comprehensive methodology for comfort modeling during the earliest development phases of a motorcycle model is still missing. Anthropometrical variation is the main noise factor to consider in comfort modeling in relation to the unavoidable variability of body segments. However, comfort is a subjective concept influencing riders' choice of motorcycle model. This work is a generalization of the robust ergonomic design methodology aimed at designing products whose ergonomic performance is insensitive to anthropometrical variation. This …
On the robust design of unknown inputs Takagi-Sugeno observer
2012
This paper deals with the observer design for Takagi-Sugeno (T-S) fuzzy models subject to unknown inputs and disturbance affecting both states and outputs of the system. Sufficient conditions to design an unknown input T-S observer are given in Linear Matrix Inequalities (LMIs) terms. Relaxations are introduced by using intermediate variables. Numerical example is given to illustrate the effectiveness of the given result.
Robust Product Development Using Variation Mode and Effect Analysis
2009
This is a book chapter. No abstract is present.
Water distribution network robust design based on energy surplus index maximization
2015
The aim of this paper is to show that energy surplus indices, such as resilience index, besides providing a very good indirect measure of water distribution network reliability to be adopted during the design phase, represent also a valuable and effective indicator of the robustness of the network in alternative network scenarios, and can thus be profitably used in condition of future demands uncertainty. The methodology adopted consisted of (I) multi-objective design optimization performed in order to minimize construction costs while maximizing the resilience index; (II) retrospective performance assessment of the alternative solutions of the Pareto front obtained, under demand conditions…