Multi-criteria Analysis for Technique Assessment:Case Study from Industrial Coating

• Published in: Journal of industrial ecology 2005-07, Vol.9 (3), p.127-142
• Main Authors: Geldermann, Jutta, Rentz, Otto
• Format: Article
• Language: English
• Subjects: Case studies; Decision analysis; decision support; Energy consumption; Life cycles; life-cycle assessment (LCA); mass and energy flow management; outranking; Sensitivity analysis; Studies; VOCs; Volatile organic compounds; volatile organic compounds (VOCs)
• ISSN: 1088-1980; 1530-9290
• DOI: 10.1162/1088198054821591

Summary Environmental policy is oriented toward integrated pollution prevention, taking into consideration all environmental media (air, water, land) and energy consumption. Therefore, methods for assessing environmentally relevant installations are needed which take economic, technical, and especially ecological criteria into account simultaneously. Mass and energy flow models are used for the representation of production processes and form the basis for the inventory phase in life‐cycle assessment (LCA). For the interpretation of LCA results and the weighting of the aggregated impact assessment indicators, approaches of multicriterion analysis (MCA) have been proposed. These can analyze ecological aspects as well as economic and technical criteria. Recent developments in LCA focus on decision support for policy makers or decision boards. Appropriate support for investment decisions on environmentally relevant installations, however, is rare. Based on a case study of the sector called surface coating, an MCA of environmentally relevant installations is described. With the help of a mass and energy flow management system, alternative scenarios, depicting the use of solvent‐reduced materials and environmentally friendly techniques, are modeled for the job coater processes in case studies of coating of mobile phones and coating of polyvinyl chloride (PVC) parts destined for the automobile industry. The modeled scenarios are further analyzed by using a multicriterion decision support module. The application of the outranking approach PROMETHEE is illustrated. A further investigation of the derived ranking can be obtained through sensitivity analyses. Moreover, the results derived by PROMETHEE are compared with the outcomes of the multicriterion approaches multiattribute utility theory and analytical hierarchy process.