This　paper　studies　the　integration　of　production　planning　and　scheduling　in　the　forging　process　of　small　batch　orders.　Firstly,　the　demand　for　orders　and　the　processing　constraints　of　forging　equipment　are　comprehensively　considered.　Then　by　integrating　periodic　requirements　for　orders,　the　cycle　of　production　is　assigned　based　on　production　status　and　inventory,　and　each　cycle　of　production　is　independently　scheduled,　a　two-level　decisionmaking　model　for　production　planning　and　adjustment　of　hybrid　flow　shop　for　forging　is　established.　Secondly,　in　order　to　realize　the　closed-loop　integration　of　high-level　planning　and　low-level　scheduling,　a　particle　swarmgenetic　hybrid　algorithm　is　proposed　to　obtain　the　feasible　integrated　solution　of　production　planning　and　scheduling.　Thirdly,　through　a　large　number　of　numerical　experiments,　the　genetic　algorithm　parameters　of　scheduling　layer　are　optimized　and　its　optimization　ability　is　verified,　and　the　optimal　results　also　show　that　the　parameters　improve　the　overall　algorithm　performance.　Lastly,　a　case　of　hybrid　flow　workshop　for　forging　is　presented　to　demonstrate　the　practicability　of　the　proposed　model　and　algorithm.