船舶专业外文翻译船舶设计优化.doc

Sｈiｐ Desｉgn Opｔimizatｉon
Ｔhis ｃoｎtribｕtiｏn ｉｓ devｏｔed　to explｏiting tｈe analoｇｙ bｅｔwｅen　a ｍｏdｅrｎｍａnufａｃtuｒｉｎgpｌant　ａnd a hｅtｅｒｏgeneouｓ pａralｌｅｌ　computeｒ ｔo　ｃoｎstruct　ａHPCN ｄｅｃisioｎ sｕｐport ｔooｌ fｏｒ shｉｐ dｅｓiｇnｅrs.　Thｅ aｐpｌicatｉｏn ｉs a HPＣN ｏnebecａusｅ of the sｃale oｆ shｉｐｂuiｌｄinｇ　－　a ｌａrgｅ　contaｉner　vesseｌ　is　consｔrucｔed ｂyassｅmbｌiｎg aｂouｔ 1。５ ｍilｌion atomｉc coｍpｏnｅnts　iｎ a pｒoｄuｃtｉｏn hｉｅrａrcｈｙ．　Thｅｒolｅ of　ｔｈe　decision　sｕpport tｏol iｓ tｏ rａpｉdｌｙ eｖalｕatｅ the manufａctｕringｃｏnｓeｑｕencｅｓ ｏf　deｓign changｅs。 Ｔhe　implｅｍentation aｓ a diｓtributed muｌｔi-agｅntaｐpliｃaｔiｏn ｒｕnning on ｔｏp　ｏf　PVM is dｅscribed
1　Anaｌogｉeｓ betweeｎ Ｍａnｕｆａctｕriｎｇ　and HＰCN
Tｈere ａre a number oｆ analｏgies beｔwｅeｎ　ｔhe ｍanuｆaｃｔｕrｅ ｏf ｃｏｍpleｘ prodｕcｔsｓuch as ｓhiｐs， ａircrａｆt　ａnd　cａrs anｄ tｈｅ　executｉon ｏf a pａｒａllｅl program。 Tｈｅｍanｕfacｔｕre of　a　shiｐ　ｉｓ carｒied out ａｃcordｉng ｔo　a produｃtｉon　pｌan wｈich enｓｕｒes tｈatａll the cｏmpoｎeｎtｓ cｏme ｔoｇethｅr at the rigｈt timｅ　aｔ thｅ ｒight ｐlａｃe. A ｐarａllelcoｍpｕter apｐliｃaｔioｎ ｓhoｕｌd ensure　tｈａt tｈｅ　ａpprｏｐｒiａtｅ　ｄａｔａ iｓ aｖａilａblｅ ｏn　ｔｈeａpproprｉａtｅ pｒｏcｅssor in　a tｉｍelｙ　ｆashｉon．
Iｔ　iｓ not surpｒｉsiｎg， theｒeｆoｒe, that　mａnｕｆaｃtuｒiｎg　iｓ ｐｌaｇued　by ｉｎdeteｒｍinacyexacｔｌy ａｓ are paraｌｌeｌ　programs exｅｃｕting on multｉ-proｃｅssor hardｗaｒe.　Thｉs hａｓcａuｓed a numｂｅｒ of　rｅsearｃｈｅrs　in　ｐroｄuctiｏn enｇｉneｅｒiｎg ｔo seek ｉｎspiraｔｉon ｉｎ otheｒａｒeａｓ ｗhｅｒe ｍanaging coｍｐlexitｙ　ａnd unｐrｅｄicｔabiｌity is importaｎt。 A nｕmber　oｆ ｎｅｗpａｒadｉｇmｓ, ｓucｈ aｓ Holoｎiｃ　Mａnufａctuｒｉng ａnd Fractal Ｆａcｔoｒｉes havｅ　ｅmｅrｇed ［1，2]ｗhicｈ ｃontain iｄｅas rather　rｅｍinｉsceｎｔ of　tｈｏｓe to　ｂｅ　fｏund in　tｈe ｆiｅlｄ ｏf Mｕｌｔi-Ageｎt Systｅｍｓ ［３， 4］.
Mａｎｕfａctｕring taｓkｓ arｅ　analogous to　operatiｏns　carｒieｄ　ouｔ on daｔａ, wｉｔhin ｔｈeｃｏｎｔext　ｏf plaｎnｉnｇ， schedulｉnｇ　and control． Also， compleｘ ｐroｄｕcｔs aｒe assｅｍｂlｅｄ atphyｓiｃalｌｙ ｄｉstributｅd　workshops or　pｒoduｃtiｏn　facｉlｉtiｅｓ, so thｅ ｃｏｍｐonｅｎts　mｕｓｔ　ｂｅtransporteｄ　beｔween ｔhem。 Ｔｈis is analｏgous ｔｏ cｏｍｍｕｎicatioｎ ｏf dａｔa　betｗeenpｒoｃessors ｉn a paｒａｌｌel compuｔer， ｗｈich tｈuｓ ａlsｏ mａkｅs ｃlear　the aｎalｏgｙ