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Generative design for sustainability-oriented factory planning

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Factories are key for efficient value creation but are also connected to significant environmental impact over their life cycle. While factory design significantly influences later performance and life cycle impact, early-stage assessment and decision support remains challenging due to data gaps as well as the high degree of uncertainty and complexity. This paper presents a novel generative design approach to derive and systematically analyze multiple layout scenarios in factory planning. With an integrated perspective on both environmental impact and factory performance, it allows the identification of critical factors and promising design parameters towards an informed life cycle engineering of factories.

Original languageEnglish
Article number147893
Number of pages13
JournalJournal of cleaner production
Volume552
Early online date11 Mar 2026
DOIs
Publication statusPublished - 22 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • UT-Hybrid-D
  • Generative artificial intelligence
  • Lifecycle
  • Factory

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