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Promoting Resource Efficiency in Small & Medium size ... - UNEP

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The appendix to the ISO 14031 lists some examples of useful<br />

<strong>in</strong>dicators for benchmark<strong>in</strong>g management systems such as:<br />

• Number of targets achieved<br />

• Number of organisational units that have achieved their<br />

<strong>Resource</strong> <strong>Efficiency</strong> targets<br />

• Number of <strong>Resource</strong> <strong>Efficiency</strong> options put <strong>in</strong>to practice<br />

• Number of employees with relevant responsibilities<br />

• Number of employees participat<strong>in</strong>g <strong>in</strong> <strong>Resource</strong> <strong>Efficiency</strong><br />

programmes<br />

• Number of employees tra<strong>in</strong>ed <strong>in</strong> <strong>Resource</strong> <strong>Efficiency</strong> matters<br />

• Results of employees who attended tra<strong>in</strong><strong>in</strong>g<br />

• Number of environmentally relevant suggestions for<br />

improvement tabled by employees<br />

• Results of employee survey about their knowledge/status of<br />

<strong>in</strong>formation about <strong>Resource</strong> <strong>Efficiency</strong> matters<br />

• Number of suppliers with eco-management systems<br />

• Number of products designed <strong>in</strong> a recycl<strong>in</strong>g-oriented way<br />

• Degree of compliance with laws, ord<strong>in</strong>ances and notices<br />

• Time required to resolve relevant accidents<br />

• Amount of corrective action taken<br />

• Penalties, f<strong>in</strong>es<br />

• Number of audits carried out<br />

• Number of emergency drills<br />

• Time needed to recoup costs of relevant <strong>in</strong>vestments<br />

• Sav<strong>in</strong>gs engendered by relevant <strong>in</strong>vestments<br />

• Number of neighbours’ compla<strong>in</strong>ts<br />

• Number of relevant newspaper articles<br />

• Number of programmes for the community<br />

• Number of production sites with an eco-management system<br />

• Number of production sites with an eco-programme<br />

• Number of local <strong>in</strong>itiatives supported by the organisation<br />

Examples of process <strong>in</strong>dicators:<br />

• Material consumption per product<br />

• Input of recycl<strong>in</strong>g material<br />

• Reuse of packag<strong>in</strong>g material per product<br />

• Process material <strong>in</strong>put<br />

• Clean<strong>in</strong>g agent <strong>in</strong>put<br />

• Water <strong>in</strong>put<br />

• Water recycl<strong>in</strong>g<br />

• Production of hazardous waste<br />

• Energy <strong>in</strong>put<br />

• Energy <strong>in</strong>put accord<strong>in</strong>g to types of energy<br />

• In-house energy generation from waste<br />

• Energy saved through energy-sav<strong>in</strong>g programmes<br />

• Fuel consumption<br />

• Freight kilometres accord<strong>in</strong>g to means of transport<br />

• Land use<br />

• Bus<strong>in</strong>ess trips<br />

• Number of recyclable products<br />

• Rejects<br />

Examples of product life cycle <strong>in</strong>dicators:<br />

• Energy consumption through product life cycle<br />

• Waste generated<br />

• Amount of hazardous waste produced<br />

• Amount of recyclable waste produced<br />

• Emission amounts (per year, per product)<br />

• Ozone destruction potential of gaseous emissions<br />

• Greenhouse effect caused by gaseous emissions<br />

• Emissions <strong>in</strong> waste water<br />

• Noise<br />

• Radiation<br />

Examples of environmental health <strong>in</strong>dicators:<br />

• Information about the condition of bodies of water<br />

• Local air quality<br />

• Endangered species<br />

• <strong>Resource</strong> consumption<br />

• Water temperatures<br />

• Climate-relevant figures<br />

More specific environmental health <strong>in</strong>dicators may <strong>in</strong>clude:<br />

• Output <strong>in</strong>dicators (for solid waste, hazardous waste, waste<br />

water, gaseous emissions; these <strong>in</strong>dicators show the observance<br />

of legal framework conditions)<br />

• Input-oriented corporate <strong>in</strong>dicators (have an earlywarn<strong>in</strong>g<br />

function and facilitate the use of foresight and<br />

promptness <strong>in</strong> mak<strong>in</strong>g statements on corporate material and<br />

energy use per household; they should at the same time be<br />

formulated as efficiency <strong>in</strong>dicators)<br />

• Management <strong>in</strong>dicators (observance of laws, achievement<br />

of targets, neighbour and staff <strong>in</strong>volvement, describe the<br />

efficiency of the corporate organisation)<br />

• Process <strong>in</strong>dicators (structured accord<strong>in</strong>g to plants or<br />

procedures to make the material or energy flows of <strong>Resource</strong><br />

<strong>Efficiency</strong> goals measurable)<br />

If develop<strong>in</strong>g your own <strong>in</strong>dicators, the follow<strong>in</strong>g questions may help you<br />

to def<strong>in</strong>e them:<br />

• What figures best reflect the targets?<br />

• Which figures would best <strong>in</strong>dicate that the target was not met?<br />

• How critical deviations are best measured?<br />

• What is the best way to show who is responsible for a critical<br />

deviation?<br />

• For which <strong>in</strong>dicators is <strong>in</strong>formation easy and <strong>in</strong>expensive to get?<br />

It is possible to learn from the <strong>in</strong>dicator system by compar<strong>in</strong>g <strong>in</strong>-house<br />

benchmarks with those of other enterprises. It is, of course, essential<br />

that the parameters of the companies to be compared are similar. It is<br />

also important that the benchmarks of the reference company have been<br />

determ<strong>in</strong>ed <strong>in</strong> the same way as those <strong>in</strong> the company under analysis.<br />

Lessons can also be learnt from the <strong>in</strong>-house comparison of <strong>in</strong>dicators by:<br />

• F<strong>in</strong>d<strong>in</strong>g out if and how the status quo deviates from predicted<br />

results<br />

• Analys<strong>in</strong>g variations <strong>in</strong> time<br />

• Assess<strong>in</strong>g the frequency of deviations<br />

• Exam<strong>in</strong><strong>in</strong>g statistical correlations between <strong>in</strong>dicators and variables<br />

Spreadsheet analysis programs, such as MS-Excel, can be helpful <strong>in</strong><br />

creat<strong>in</strong>g graphs and charts to illustrate the data.<br />

Use the benchmark<strong>in</strong>g data to identify measures. Suitable measures<br />

may <strong>in</strong>clude both organisational or technical approaches; feasibility<br />

is exam<strong>in</strong>ed and, <strong>in</strong>vestment, costs and sav<strong>in</strong>gs are determ<strong>in</strong>ed. The<br />

schedule of implementation is planned.<br />

Statistical analysis can help to identify the improvement potential of a<br />

process. In Figure 20, the dotted l<strong>in</strong>es show the targets, the solid l<strong>in</strong>es<br />

are the monthly average and the dots are the calculated daily specific<br />

water consumptions (m 3 water consumed per hl beer produced). From<br />

the deviation from the target and the variation of daily consumption we<br />

can conclude the potential for sav<strong>in</strong>gs (difference of daily consumption to<br />

the respective average). If consumption can be low on some days, why<br />

should it be high on others <strong>in</strong> the same production environment?<br />

27

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