This　study　aims　to　optimize　the　length　partitioning　of　modular　MEP　systems　in　building　construction　using　a　genetic　algorithm,　addressing　challenges　such　as　avoiding　fittings　(e.g.,　tees　and　crosses)　and　achieving　standardized　module　lengths.　To　this　end,　this　paper　proposes　an　optimization　method　utilizing　the　customization　of　Revit　2021.　The　method　comprehensively　considers　factors　such　as　the　location　of　pipe　fittings,　module　length,　production,　transportation,　and　installation,　achieving　a　more　systematic　partitioning　of　modules.　The　results　show　that　the　optimized　partitioning　scheme　effectively　avoids　critical　pipe　fittings,　and　the　optimized　module　lengths　are　comparable　to　those　created　manually.　However,　the　optimized　scheme　includes　more　standardized　segments,　which　is　conducive　to　factory-standardized　production.　Additionally,　cost　analysis　reveals　that　production　and　transportation　costs　account　for　a　significant　proportion　of　total　costs,　while　lifting　costs　are　relatively　low.　Furthermore,　the　presence　of　modules　with　non-standard　lengths　introduces　corresponding　penalty　costs.　This　paper　discusses　the　advantages　and　limitations　of　the　proposed　method　and　suggests　future　directions　for　further　optimizing　the　algorithm　and　improving　module　partitioning.　The　novelty　of　this　research　lies　in　the　integration　of　a　genetic　algorithm　with　BIM　software　to　optimize　MEP　module　partitioning,　offering　a　more　efficient　and　systematic　approach　to　the　modular　construction　process.