Bio-inspired in-Plant Logistics Using Open-Source Tools

Sven Maricic (), Mihael Holi, Iva Suman and Biljana Martincic
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Sven Maricic: Juraj Dobrila University of Pula, Faculty of Engineering
Mihael Holi: Juraj Dobrila University of Pula, Faculty of Engineering
Iva Suman: University of Rijeka, Faculty of Medicine
Biljana Martincic: Calucem Ltd.

A chapter in Proceedings of the International Conference on Industrial Logistics (ICIL) 2025, 2026, pp 178-192 from Springer

Abstract: Abstract This paper applies a bio-inspired routing approach, derived from the behavior of the slime mold Physarum polycephalum, to in-plant logistics in a Calucem cement facility. We implement a browser-based simulation that compares the Two-Way Parallel Slime Mold Algorithm (TPSMA), a Genetic Algorithm (GA), and Christofides’ method under identical scenarios, and we map the results into an interactive 3D model built in the open-source Godot Engine. Results indicate that TPSMA balances route quality and runtime in obstacle-rich layouts, Christofides yields near-optimal paths with minimal computation, and GA offers flexibility at higher runtime cost. The workflow demonstrates how open-source visualization enhances interpretation, validation, and communication of optimization outcomes for Industry 4.0 logistics.

Keywords: 3D visualization; Bio-inspired algorithms; Godot Engine; In-plant logistics; Path optimization; Physarum polycephalum (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-14489-8_18

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