An industrial implementation of a methodology for the optimisation of product design tolerances

Today, the key to commercial success in manufacturing is the timely development of new products that are not only functionally fit for purpose but offer high performance and quality throughout their entire lifecycle. In principle, this demands the introduction of a fully developed and optimised product from the outset. To accomplish this, manufacturing companies must leverage existing knowledge in their current technical, manufacturing and service capabilities. This is especially true in the field of tolerance selection and application, the subject area of this research. Tolerance knowledge must be readily available and deployed as an integral part of the product development process. This paper describes a methodology and framework,currently under development in a UK manufacturer, to achieve this objective.

The AASK Database V3.0: a database of human experience during aircraft evacuation incidents

This paper describes recent developments with the Aircraft Accident Statistics and Knowledge (AASK) database. The AASK database is a repository of survivor accounts from aviation accidents developed by the Fire Safety Engineering Group of the University of Greenwich with support from the UK CAA. Its main purpose is to store observational and anecdotal data from the actual interviews of the occupants involved in aircraft accidents. Access to the latest version of the database (AASK V3.0) is available over the Internet. AASK consists of information derived from both passenger and cabin crew interviews, information concerning fatalities and basic accident details. Also provided with AASK is the Seat Plan Viewer that graphically displays the starting locations of all the passengers - both survivors and fatalities - as well as the exits used by the survivors. Data entered into the AASK database is extracted from the transcripts supplied by the National Transportation Safety Board in the US and the Air Accident Investigation Branch in the UK. The quality and quantity of the data was very variable ranging from short summary reports of the accidents to boxes of individual accounts from passengers, crew and investigators. Data imported into AASK V3.0 includes information from 55 accidents and individual accounts from 1295 passengers and 110 crew.

Investigating antecedents and consequences of brand identification

Purpose – This study aims to analyse the influences of prestige, satisfaction, and communication on brand identification and to show how brand identification influences word-of-mouth and brand repurchase. Design/methodology/approach – A theoretical model is developed and tested with a sample of car owners in the UK of two global car brands. Structural equation modelling was used with LISREL 8.54 and the maximum likelihood (ML) method. Findings – This paper draws mainly on the theory of social identity to provide a comprehensive understanding of conditions under which brand owners are likely to identify with their brand and the bases and consequences of such identification. It was shown that prestige, satisfaction, and communication effect brand identification. The study confirms that consumers' development of relationships via brand identification results in word of mouth about the brand and intentions to repurchase the brand. Furthermore, it was found that brand identification fully mediates the influences of prestige, satisfaction, and communication on word of mouth and brand repurchase. Research limitations/implications – The focus was on one country and one industry. Practical implications – Managers are provided with strategies that enhance the identification of their customers with their brand so that they can strengthen the customers' brand identification. Areas for future research are suggested. For instance, it could be interesting to test the model in a different industry and/or cultural context. Originality/value – Very few previous studies have looked at brand identification which is surprising considering it is such an important variable to influence word-of-mouth and brand repurchase. The study tests three antecedents to brand identification and two outcomes that have not been investigated previously. Overall, the study adds knowledge in this somewhat neglected area.

A life cycle model for product-service systems design

Western manufacturing companies are developing innovative ways of delivering value that competes with the low cost paradigm. One such strategy is to deliver not only products, but systems that are closely aligned with the customer value proposition. These systems are comprised of integrated products and services, and are referred to as Product-Service Systems (PSS). A key challenge in PSS is supporting the design activity. In one sense, PSS design is a further extension of concurrent engineering that requires front-end input from the additional downstream sources of product service and maintenance. However, simply developing products and service packages is not sufficient: the new design challenge is the integrated system. This paper describes the development of a PSS data structure that can support this integrated design activity. The data structure is implemented in a knowledge base using the Protégé knowledge base editor.