Hcond - condition survey software

Pitfall

Implications

Survey objectives and therefore, data required, incoherent.

Data collected may be inappropriate to task and may not suit needs of organisation.

Repairs terminology badly defined.

Confusion over scope of survey; risk of duplication of data and doubts on accuracy of survey data.

Over emphasis on detailed, short term, data. Quantities and specs. collected without due regard to sample size.

Data is expensive to collect and will quickly become out of date. Further surveys required where sample size is small. Short term data precludes strategic planning.

Unrealistic assumptions regarding data accuracy, particularly component life and component cost.

Inaccurate data can result in inappropriate maintenance strategies.

Methodology complex or confused and not suited to dynamic analysis.

Complex methodologies can produce data which is difficult to analyse and understand. Text based data is difficult to analyse or manipulate.

Data collected without any attempt to prioritise.

Scale of work required is far in excess of resources available; further survey work required. Trends in stock condition cannot be monitored accurately.

Data not collected on potential improvements or existing quality attributes.

Monitoring trends or providing information on potential improvements is vital to a long term strategy.

Sample size inappropriate to task.

Inaccurate data or excess expense incurred.

Inconsistent data/poor surveyors.

May render survey unreliable. This is probably one of the most common failings in condition surveys.

Software not capable of interrogating or manipulating data.

Difficulties in analysis and limitations in data manipulation. Difficulties in setting up appropriate repairs programmes.