Four　forms　of　pre　tightening　process　were　analyzed,　and　the　constraint　models　of　each　pre　tightening　process　form　were　established　after　the　influence　of　pre　tightening　process　and　transportation　time　in　the　shop　scheduling　for　machine　main　parts　manufacturing　workshop　were　added.　The　concept　of　fuzzy　transportation　time　was　introduced,　and　the　triangular　fuzzy　number　was　used　to　determine　the　exact　workpiece　transportation　time.　A　four　objective　flexible　job　shop　scheduling　model　with　the　tight　front　constraint　and　the　transportation　time　was　built.　The　optimal　foraging　algorithm　(OFA)　based　on　Pythagorean　fuzzy　prospect　value　was　designed　to　solve　this　scheduling　model.　The　algorithm　combined　the　Pythagorean　fuzzy　number　with　the　prospect　theory.　The　objective　function　values　were　mapped　to　the　fuzzy　number,　and　the　fuzzy　information　was　evaluated　by　using　the　distance　measure　based　on　the　centroid　of　the　right　triangle.　Based　on　the　distance　measures,　the　preferences　of　choosing　the　individuals　in　algorithm　were　embodied.　The　comprehensive　prospect　value　was　obtained　by　the　double　ideal　reference　fuzzy　number　prospect　value　function,　and　the　quality　of　noninferior　solutions　were　judged　by　this　prospect　value,　meanwhile,　the　prospect　value　was　used　to　guide　the　evolution　of　OFA.　After　the　numerical　examples,　case　tests　and　a　real　production　case　were　simulated.　The　performances　of　the　proposed　algorithm　were　verified　to　be　better　than　four　classical　multi-objective　intelligent　optimization　algorithms.　©　2022,　Editorial　Board　of　Journal　of　Huazhong　University　of　Science　and　Technology.　All　right　reserved.