{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:44:56Z","timestamp":1782841496689,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Additive Manufacturing (AM) production efficiency is often restricted by a sequential workflow where part selection for nesting and batch packing are treated as separate, disconnected steps. This decoupling frequently results in sub-optimal volume utilization and the need for manual, repeated scheduling rework between production batches. This study introduces an integrated voxel-based simulation framework that simultaneously optimizes part selection and geometric placement within a multi-batch setting. By coupling selection logic with spatial constraints, the system ensures that the most important parts are prioritized to be included in the available build volume, maximizing throughput across consecutive runs. The methodology utilizes a discrete voxel representation to balance between complex geometries and computational loads.\n\nIn an experimental validation involving 150 diverse objects, the algorithm achieved a 100% placement rate across three batches. The construction followed a strategic hierarchy: an initial foundational batch (29.2% volume utilization, 87.8% theoretical capacity) prioritized large structural anchors, followed by a primary consolidation batch that achieved peak volumetric utilization (32.2%, 89.4% capacity) by nesting tiny filler objects within larger cavities. A final terminal batch accommodated remaining constrained parts at 9.5% capacity, leaving volume available for future order consolidation. Post-optimization validation confirmed compliance with manufacturing requirements, maintaining desired separation to prevent part fusion. This integrated approach bridges the gap between digital order management and physical build logistics, providing a scalable foundation for automated, high-volume, polymer AM environments.<\/jats:p>","DOI":"10.7148\/2026-0502","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:14Z","timestamp":1782838514000},"page":"502-509","source":"Crossref","is-referenced-by-count":0,"title":["Simulating integrated part selection and geometric placement in am polymer powder beds: a voxelized evolutionary approach"],"prefix":"10.7148","author":[{"given":"Anna","family":"Mannermaa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shadi","family":"Samemaleki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Petri","family":"Pitkanen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jyrki","family":"Savolainen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:18Z","timestamp":1782838518000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0502_simo_ecms2026_0025.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0502","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}