The　advancement　of　communication　technology　has　played　a　crucial　role　in　accelerating　the　growth　and　evolution　of　the　Industrial　Internet　of　Things　(IIoT),　and　blockchain　technology　has　likewise　provided　a　solution　for　the　security　and　validity　of　the　very　explosive　amount　of　Internet　of　Things　(IoT)　data.　The　future　of　blockchain　technology　is　very　promising.　However,　there　are　some　problems　due　to　blockchain-enabled　IIoT:　1)　huge　energy　consumption　for　computational　tasks;　2)　high　computational　cost　in　processing　data　and　less　than　ideal　throughput.　To　solve　the　above　problems,　our　aim　is　to　introduce　an　optimization　framework　specifically　designed　for　blockchain-based　IIoT　systems　so　as　to　reduce　the　computational　cost　and　energy　consumption,　and　represent　this　problem　as　a　Markov　decision　process　(MDP).　Three　aspects　of　the　main　processor,　offloading　decision,　and　server　selection　can　be　used　in　order　to　optimize　the　energy　allocation　of　the　device　and　reduce　the　computational　and　energy　costs　so　as　to　achieve　a　multi-party　balance.　The　final　simulation　results　show　that　the　system　can　be　well　optimized.　©　2023　IEEE.