A methodology demonstration using Quality Function Deployment (QFD) as a tool to explore some key elements of higher education. QFD is most commonly applied in industrial settings where products are manufactured. This research applies QFD to a service, specifically engineering education. The goal of this research is, therefore, twofold. While exploring the quality of engineering education in a university setting, a new application of QFD was tried and tested. Considering the university students as the primary customers, the results of a nominal group technique session, along with interviews of faculty members and administrators were used to define “the voice of the customer”. QFD procedures and forms were used to analyse and scrutinize the specific areas of advising and teaching within the university. Recommendations were devised which range from a comprehensive instructor‐training programme to self‐help and mentor programmes by student groups.

This paper summarizes a three year epidemiological study conducted in five large industrial plants in order to evaluate the validity of two alternative modeling approaches to overexertion injury prediction. Detailed biomechanical and psychophysical job evaluations were performed for 55 industrial jobs comprised of 2934 potentially stressful manual materials handling tasks. The medical experiences of 6912 incumbent workers were monitored retrospectively for two years and prospectively for one year to establish a data base for comparison of the different models. The results show that each of the models can be used to predict both the incidence and severity of certain overexertion types of injuries such as contact, musculoskeletal and back injuries. The application of these models to identify or design administrative and engineering controls, however, may be limited as a result of the inherent correlation between the available indices and multifaceted jobs.

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