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3724. Combining MADM and MODM for allocating biomass conversion plants in Southwest Germany

Invited abstract in session WA-61: Applications of Location Methods, stream Locational Analysis.

Wednesday, 8:30-10:00
Room: S10 (building: 101)

Authors (first author is the speaker)

1. Andreas Rudi
Institute for Industrial Production (IIP), Karlsruhe Institute of Technology (KIT)
2. Frank Schultmann
Institute for Industrial Production, Karlsruhe Institute of Technology (KIT)

Abstract

Optimizing biomass supply chains necessitates the allocation of feedstock supply and biomass conversion facilities. This presentation introduces an innovative approach that combines Multi-Attribute Decision Making (MADM) with Multi-Objective Decision Making (MODM) to harmonize diseconomies of supply with technological economies of scale, thereby evaluating various biomass valorization pathways. Leveraging MADM and GIS-based location analysis, we establish a comprehensive location suitability criterion integrated into a two-fold linearized Mixed Integer Linear Programming (MILP) model, incorporating economic and ecological objectives. The multi-objective formulation is efficiently solved using the augmented epsilon constraint method. Finally, we employ the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to assess the location decision of biomass conversion facilities and determine optimal designs for biomass supply chains. This approach not only estimates the potential for energetic or chemical biomass valorization in Southwest Germany but also facilitates strategic decision-making by integrating multi-criteria location analysis. By elucidating the specific methods employed and outlining potential outcomes, this research contributes to the advancement of location analysis methodologies in the context of biomass supply chain optimization.

Keywords

Status: accepted

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