Which manufacturing processes and areas have the most significant share of NPO costs and the greatest potential for improving resource efficiency?
Understanding which areas of a production system have the greatest potential for improving resource efficiency requires the distribution of the NPO data from the company system boundary to individual resource/energy users. The latter may be identified as cost centres and/or production lines or steps, depending on the complexity of the company. This process will lead to the identification of the focus areas for each of the priority flows identified in step 1.4, and to the further improvement of the company’s information system for the next business year.
For energy flows, the cost allocation process can be based on three different levels of accuracy depending on the existing information system:
This step will highlight the areas in the company (specific departments, production units, cost centres) that generate the most significant share of the total NPO costs. Benchmarking with international best available techniques or expert opinions can confirm whether specific areas with a high ratio of NPO costs also have significant potential for improvement and should be selected as focus areas. Note that another reason for deciding on a focus area is that it is a source of significant environmental and health risks – e.g. use of toxic substances. The chosen focus areas will be further analysed in step 1.6.
The TEST Team should define Operational Performance Indicators (OPIs) for the selected focus areas (e.g. energy use per unit of production at the drying stage). These OPIs are to be included in the information system on flows (a monitoring system for regular data measurement and survey of process resource efficiency described in chapter 3). Calculating and recording the baseline for OPIs at this stage enable future monitoring of performance, and validation of RECP improvements at the company site. Note that the KPIs set at the company boundary level for priority flows cannot be used for monitoring real savings associated with an RECP measure, as several measures may have contributed to the improvements in the use of a specific material or energy flow.