Berlin 2018 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 7: Poster
SOE 7.22: Poster
Montag, 12. März 2018, 17:00–20:00, Poster E
Stable features in fluctuating supply chains — •Robert Polwin1,2, Hans Ehm2, Alexander Seitz2, and Sebastian M. Krause1 — 1Faculty of Physics, University of Duisburg-Essen, 47058 Duisburg, Germany — 2Infineon Technologies AG, Neubiberg, Germany
Supply chains are complex networks processing the flow of information, currencies and material required for satisfying the customer needs. They are the backbone of todays globally producing industries and enable production and service innovations. Also the semiconductor industry with its long and complex production process and volatile market conditions relies on a stable supply chain network. Here we analyze the supply-demands match of Infineon, a large German semiconductor manufacturer. The customers of Infineon place orders which are daily matched to changing (improved) supply. The daily supply demand match with hundreds of heuristics are performed on hundred thousands of order elements and thousands of supply elements. Despite the fact that real world changes of the confirmed delivery dates towards customers are rare, the detailed analyzes of the confirmation processes (below the customer level) show both statistical features of the order flow, which are stable in time and chaotic patterns. Although the latter once are rare when they occur they exhibit surprising features with causes are not yet understood. These are signs of emergent behavior that goes beyond the dynamics of the systems constituents and are on the one hand of high interest for research on complex system behaviors and give hints to hidden improvement potentials.