A maintenance-data-model of enterprise resource planning

Two distinct maintenance-data-models are studied: a government Enterprise Resource Planning (ERP) maintenance-data-model, and the Software Engineering Industries (SEI) maintenance-data-model. The objective is to: (i) determine whether the SEI maintenance-data-model is sufficient in the context of ERP (by comparing with an ERP case), (ii) identify whether the ERP maintenance-data-model in this study has adequately captured the essential and common maintenance attributes (by comparing with the SEI), and (iii) proposed a new ERP maintenance-data-model as necessary. Our findings suggest that: (i) there are variations to the SEI model in an ERP-context, and (ii) there are rooms for improvements in our ERP case’s maintenance-data-model. Thus, a new ERP maintenance-data-model capturing the fundamental ERP maintenance attributes is proposed. This model is imperative for: (i) enhancing the reporting and visibility of maintenance activities, (ii) monitoring of the maintenance problems, resolutions and performance, and (iii) helping maintenance manager to better manage maintenance activities and make well-informed maintenance decisions.

Data mining for lifetime prediction of metallic components

The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis of the lifetime prediction model

A generative design system based on evolutionary and mathematical functions

Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner. Recent research by the authors has focused on the implementation of a virtual environment for the automatic generation and exploration of complex forms and architectural envelopes based on solid modelling techniques and the integration of evolutionary algorithms, enhanced computational and mathematical models. Abstract data types are introduced for genotypes in a genetic algorithm order to develop complex models using generative and evolutionary computing techniques. Multi-objective optimisation techniques are employed for defining the fitness function in the evaluation process.

Causes of injuries resulting in hospitalisation in Australia : assessing coder agreement on external causes

Objective: To assess extent of coder agreement for external causes of injury using ICD-10-AM for injury-related hospitalisations in Australian public hospitals. Methods: A random sample of 4850 discharges from 2002 to 2004 was obtained from a stratified random sample of 50 hospitals across four states in Australia. On-site medical record reviews were conducted and external cause codes were assigned blinded to the original coded data. Code agreement levels were grouped into the following agreement categories: block level, 3-character level, 4-character level, 5th-character level, and complete code level. Results: At a broad block level, code agreement was found in over 90% of cases for most mechanisms (eg, transport, fall). Percentage disagreement was 26.0% at the 3-character level; agreement for the complete external cause code was 67.6%. For activity codes, the percentage of disagreement at the 3-character level was 7.3% and agreement for the complete activity code was 68.0%. For place of occurrence codes, the percentage of disagreement at the 4-character level was 22.0%; agreement for the complete place code was 75.4%. Conclusions: With 68% agreement for complete codes and 74% agreement for 3-character codes, as well as variability in agreement levels across different code blocks, place and activity codes, researchers need to be aware of the reliability of their specific data of interest when they wish to undertake trend analyses or case selection for specific causes of interest.

Cholesterol-lowering management of stroke : inconsistencies of evidence and practice

Cholesterol-lowering treatment by statins is an important and costly issue; however, its role in stroke has not been well documented. The aim of the present study was to review literature and current practice regarding cholesterol-lowering treatment for stroke patients. A literature review was conducted on lipids in stroke and their management with both statins and diet, including the cost-effectiveness of medical nutrition therapy. Qualifying criteria and prescription procedures of the Pharmaceutical Benefits Scheme (PBS) were also reviewed. Data on lipid levels and statin prescriptions were analysed for 468 patients admitted to a stroke unit. The literature shows that management with both medication and diet can be effective, especially when combined; however, 60% of patients with an ischaemic event had fasting total cholesterol measures ≥4 mmol/L (n = 231), with only 52% prescribed statins on discharge (n = 120). Hypercholesterolaemia is an underdiagnosed and undertreated risk factor within the stroke population. It appears that the PBS has not kept pace with advances in the evidence in terms of statin use in the stroke population, and review is needed. The present review should address the qualifying criteria for the stroke population and recommendations on referral to dietitians for dietary advice. Cholesterol-lowering treatment for both stroke patients and the wider population is an area that needs awareness raising and review by the PBS, medical practitioners and dietitians. The role of dietary and pharmacological treatments needs to be clearly defined, including adjunct therapy, and the cost-effectiveness of medical nutrition therapy realised.