Multi Criteria Decision Making Enhancing Sustainable Energy Management

Abstract:

Establishing energy management in manufacturing major challenge means to increase the energy efficiency of machinery in existing and future processes leading to both, a reduction of energy costs as well as to a reduction of the manufacturing-process-related environmental impacts. Therefore we developed a procedure to prioritize existing machinery for detailed machine examination in order to create a sustainable approach for machine operating companies to prioritise its assets for energy optimisation projects. By using fuzzy logic as method of artificial intelligence nominal and utilisation machinery data as well as inhouse expert knowledge is considered to enhance multi criteria decision making both. Applying this methodology in a series of industrial case studies in discrete manufacturing costs savings of up to 40 percent were realised.

• Periodical: Applied Mechanics and Materials (Volume 805)
• Pages: 32-37
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.805.32
• Online since: November 2015
• Authors: Johannes Boehner
• Keywords: Artificial Intelligence, Energy Management, Human Factors, Multi Criteria Decision Making

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