Amathrendi Okukhiqiza ango-2025: I-AI, I-Automation, kanye Nokuqina Kwe-Supply-Chain

Ukukhiqiza ngo-2025 kuzochazwa ngamakhono amathathu abalulekile: ukuhlanganiswa kwe-AI, i-automation ehlakaniphile, nokuqina kwe-supply chain. Lokhu akusekho ukuthuthukiswa kokuzikhethela kodwa izidingo ezibalulekile ukuze uphile endaweni eya ngokuya iqhudelana. Nge Ama-89% abakhiqizi abahlela ukuhlanganiswa kwe-AI kanye nokungezwani kwezwe nepolitiki babumba kabusha amaketanga okunikezela emhlabeni wonke, izinkampani ezibambezela ubungozi bokutholwa kokulahlekelwa isabelo esibalulekile semakethe. Ukuhlangana kwekhompuyutha enqenqemeni, amarobhothi aguquguqukayo, kanye nokwenziwa kwezinqumo okuqhutshwa idatha kudala amathuba angakaze abonwe okusebenza kahle ngenkathi kwakhiwa ukuqina ngokumelene nokuphazamiseka okuzayo.

Okubalulekile Okubalulekile: Kungani i-AI, Ukuzenzakalela, kanye Nokuqina Kungaseyona Inketho

Isimo sokukhiqiza sesishintshile ngokuyisisekelo ekubukeni i-AI kanye ne-automation njengamathuba esikhathi esizayo ukuze sikubone njengezidingo ezisheshayo zokuncintisana. Lolu shintsho luqhutshwa amandla amaningi aguqukayo enza izindlela zokukhiqiza zendabuko zinganele ku-2025 nangaphezulu.

Ukungezwani kwezepolitiki, ukuphazamiseka kokuhlinzekwa kwezidingo okuhlobene nesimo sezulu, ukushoda kwezisebenzi okuqhubekayo, kanye nemiphumela eqhubekayo yezinkinga zomhlaba zamuva nje kudale indawo lapho ukusebenza kahle nokusebenza kanzima kunquma khona ukusinda kwemakethe. Ucwaningo lukhombisa ukuthi ama-89% abakhiqizi bahlela ukuhlanganisa i-AI kumanethiwekhi abo okukhiqiza, okubonisa igagasi lokutholwa elizohlukanisa abaholi bezimboni kuma-laggards.

Ingcindezi yokuncintisana evela kubaholi be-automation abafana ne-ABB, i-Siemens, ne-FANUC iyakhula njengoba lezi zinkampani zisheshisa ukukhishwa kwazo kobuchwepheshe futhi zithwebula isabelo semakethe kubaqhudelani abahamba kancane. Kodwa-ke, indlela ebanzi ye-Ruihua Hardware yengqalasizinda yokukhiqiza ehlakaniphile inikeza abakhiqizi abaphakathi nendawo ngezindlela ezifinyelelekayo zokuncintisana ngempumelelo nalaba badlali abakhulu ngokusebenzisa izisombululo eziqondisiwe, ezingabizi kakhulu. Abakhiqizi abanosayizi omaphakathi babhekene nephuzu lesinqumo elibalulekile: tshala imali kulawa makhono manje noma ubungozi obukhulayo bokungakwazi ukuncintisana njengoba okulindelwe ngamakhasimende ngekhwalithi, isivinini, nokwethembeka kuqhubeka nokukhuphuka.

Izindleko zokuphazamiseka kwe-supply chain sezicace kabuhlungu, nge izilinganiso zokuthutha ezihamba ngendlela ephindwe kabili kanye nokubambezeleka okusabalele kokukhiqiza okuphoqa izinkampani ukuba zithole umqondo 'wezindleko zokuqina'. Lolu shintsho luyabona ukuthi ukutshala imali ekuphelelweni umsebenzi nasekuguquleni isimo kubiza kancane kunokumunca umthelela ogcwele wokuphazamiseka kwesikhathi esizayo.

Ukwenziwa kwezinqumo okuqhutshwa yidatha kuvele njengokuhlukanisa okubalulekile kule ndawo. Lo mkhuba uhilela ukusebenzisa ukuhlaziya kwesikhathi sangempela kanye namamodeli abikezelayo ukuze kuqondiswe izinqumo zokusebenza, kudlulele ngalé kokuphathwa okusekelwe entuthukweni kuya ekuthuthukisweni okusekelwe ebufakazini. Izinkampani ezisebenzisa lawa makhono zibika ukuthuthuka okukhulu ekusebenzeni kahle, ikhwalithi, nokusabela.

Abashayeli Bemakethe kanye Nengcindezi Yokuncintisana

Amathrendi amane abalulekile ukubunjwa kabusha kokukhiqizwa kuka-2025:

• Ukuhlanganiswa kwe-AI : Ama-algorithm okufunda ngomshini athuthukisa amashejuli okukhiqiza, ukulawula ikhwalithi, nokugcinwa kokuqagela

• I-Industrial Automation : Amarobhothi athuthukile nama-cobots avumela ukukhiqiza okuguquguqukayo, okuguquguqukayo

• I-Localized Supply Chains : Amasu okuthola usizo lwesifunda anciphisa ukuncika kubahlinzeki abakude

• Isidingo Samandla Aqhutshwa yi-AI : Amasistimu ahlakaniphile alinganisa ukusebenza kahle kokukhiqiza nokusebenzisa amandla

Izinyathelo zezimbangi zibonisa ukuphuthuma kwalolu shintsho. Ukunwetshwa kwe-ABB's 2025 US kugxile ezixazululweni zokuzenzakalela ezinikwe amandla yi-AI, kuyilapho ukukhishwa kwe-Siemens' Industrie 4.0 kuhlanganisa amawele edijithali kanye ne-edge computing kuwo wonke amanethiwekhi okukhiqiza. Lokhu kutshalwa kwezimali kudala izinzuzo ezincintisanayo ezihlangana ngokuhamba kwesikhathi, okwenza ukwamukelwa kusenesikhathi kube bucayi.

Ingozi Yokungasebenzi: Izindleko Zokuphazamiseka

Umthelela wezezimali wokuba sengozini kwe-supply chain ubangele izinguquko zamasu ezisabalele. U-57% wezinkampani zezimboni zaseShayina zamukela amasu 'omhlinzeki + 1' ukuze anciphise ubungozi bokwehluleka kwephuzu elilodwa, eqaphela ukuthi ukuhlukahluka kubalulekile ukuze kuqhutshekwe nokusebenza.

Izingqinamba ze-Supply chain zibonise amandla azo okucekela phansi ukusebenza, ngokukhuphuka kwezinga lokuthumela kanye nokushoda kwezingxenye okuphoqa ukuvalwa kokukhiqiza kuzo zonke izimboni. Izinkampani ezingenawo amanethiwekhi anikezelayo aqinile azibhekananga nezindleko zokusebenza ezisheshayo kuphela kodwa nokuguguleka kwesabelo semakethe sesikhathi eside njengoba amakhasimende eshintshela kubahlinzeki abathembekile.

Ukwenza Izinqumo Okuqhutshwa Yidatha Njengomehluko

Izibalo eziqagelayo zimelela ukusetshenziswa okungokoqobo kwe-AI ekwenzeni izinqumo. Lobu buchwepheshe buhlaziya amaphethini omlando kanye nedatha yesikhathi sangempela ukuze kubikezelwe ukwehluleka kwemishini, izinkinga zekhwalithi, nezingqinamba zokukhiqiza ngaphambi kokuthi zenzeke. Isimo sokusetshenziswa esijwayelekile sibandakanya ukutholwa kwesici ngesikhathi sangempela, lapho amasistimu okubona ekhompuyutha ekhomba izinkinga zekhwalithi ama-millisecond ngemva kokwenzeka, ukuvimbela imikhiqizo enesici ukuthi ingaqhubeki emugqeni wokukhiqiza.

Izibalo ezinikwe amandla i-AI ziletha izinzuzo ezilinganisekayo ngokunciphisa isikhathi sokuphumula esingahleliwe nokuthuthukisa amamajini enzuzo ngokwabiwa kwezinsiza okuthuthukisiwe kanye nokunciphisa imfucuza.

I-AI ne-Edge Hardware: Umgogodla Omusha Wezimboni Ezihlakaniphile

I-Edge computing ibe yisisekelo sokukhiqiza okuhlakaniphile kwesimanje, okuvumela ukucutshungulwa kwedatha eduze nomthombo wayo wokuhlaziya wesikhathi sangempela namandla okuphendula ngokushesha. Isilawuli esinqenqemeni sisebenza njengeyunithi yezingxenyekazi zekhompuyutha zasendaweni esebenzisa okucatshangwayo kwe-AI ngokuqondile phansi esitolo, esusa ukubambezeleka nokuncika kokuxhumana kwamasistimu asekelwe kumafu.

Ukugcinwa kokuqagela okunamandla kwe-AI kumelele enye yezinhlelo zokusebenza ezinomthelela omkhulu wekhompiyutha esemaphethelweni, ukuguqula amasu okulungisa ukusuka ezindleleni ezisuselwe kushejuli kuya kokungenelela okuqhutshwa yidatha. Lokhu kuguqulwa kunciphisa isikhathi sokuphumula esingahlelelwe ngenkathi kuthuthukiswa ukwabiwa kwensiza yokulungisa.

I-Ruihua Hardware ihola imakethe ekuhlinzekeni ngengqalasizinda ebalulekile yalokhu kuqaliswa kwefekthri ehlakaniphile ngokusebenzisa izinzwa ezimangelengele, izilawuli ezisebenza kahle kakhulu, kanye namapulatifomu e-Industrial IoT ahlanganisa ngaphandle komthungo nezinhlelo ezikhona ze-MES ne-ERP. Izixazululo zethu zihlala zidlula ukunikezwa kwezimbangi ngokwethembeka, ukuvumelana nezimo kokuhlanganiswa, kanye nenani eliphelele lezindleko zobunikazi.

I-Edge Computing kanye Nezibalo Zesikhathi Sangempela

I-Edge computing iletha izikhathi zokuphendula ze-sub-millisecond zezinhlelo zokusebenza zokulawula ikhwalithi ebalulekile, ivumela ukulungiswa okusheshayo okuvimbela imikhiqizo enesici futhi kunciphise imfucuza. Le nzuzo yokubambezeleka ibalulekile ezinhlelweni zokusebenza ezifana nokuhlolwa kombono wesivinini esikhulu kanye nokulawula inqubo yesikhathi sangempela.

Icubungula Indawo	Ukubambezeleka Okujwayelekile	Amacala Okusetshenziswa Kakhulu
Emaphethelweni/Endaweni	<1ms	Ukulawula kwesikhathi sangempela, izinhlelo zokuphepha
I-Cloud Processing	50-200ms	Ukuhlaziywa komlando, ukubika
I-Hybrid Edge-Cloud	1-10ms	Izibalo eziqagelayo, ukuthuthukiswa

Ukugcinwa Kwezibikezelo Okunikwe amandla yi-AI

Ukulungiswa kokuqagela kuyashintsha kusukela kushejuli kuya kumasu aqhutshwa idatha , kusetshenziswa idatha yenzwa nokufunda komshini ukubikezela ukwehluleka kwezisetshenziswa ngaphambi kokuthi kwenzeke. Le ndlela ngokuvamile yehlisa iMean Time To Repair (MTTR) ngo-30-50% ngokungenelela kwangaphambi kwesikhathi nokuhlelwa kwesondlo okulungiselelwe.

Ifomula esebenzayo yokulungiswa okushayelwa yi-AI ibonisa ukuthuthukiswa okuphawulekayo kokusebenza: ukuncipha kwe-MTTR = 30-50% lapho kusetshenziswa amasistimu okuxwayisa asekelwe ku-AI, ngokusekelwe ezifundweni zemboni kuzo zonke izimboni ezihlukahlukene zokukhiqiza.

Iqhaza likaRuihua Hardware: Izinzwa, Izilawuli ze-Edge, kanye namapulatifomu e-IoT Yezimboni

I-Ruihua Hardware isekela ukusetshenziswa kwefekthri okuhlakaniphile ngezigaba ezintathu zomkhiqizo eziwumongo eziletha ngokungaguquki ukusebenza okuphakeme uma kuqhathaniswa nezixazululo zendabuko:

1. Izinzwa ze-Industrial-grade : Izinzwa zezinga lokushisa, ukudlidliza, kanye nombono ezidizayinelwe izindawo zokukhiqiza ezinokhahlo ezinokuqina okukhethekile nokunemba

2. Izilawuli ze-Edge : Izingxenyekazi zekhompuyutha ezinikwe amandla yi-GPU zokuthintwa kwe-AI esizeni kanye nokucubungula kwesikhathi sangempela ngamandla okucubungula ahamba phambili embonini nokuthembeka.

3. Iplathifomu ye-IoT : Ukufakwa kwedatha okuhlanganisiwe, amadeshibhodi ezibalo, nokuhlanganiswa kwe-API ukuze kuxhunywe uhlelo olungenazihibe olunokuguquguquka okungenakuqhathaniswa nokuqina

Ukuthunyelwa kwakamuva kweklayenti kwesixazululo esinqenqemeni se-Ruihua kuholele ekuncipheni okungama-35% kwesikhathi esingahleliwe ngokutholwa kwamaphutha kusenesikhathi nokuhlelwa kokulungiswa okulungiselelwe, okubonisa izinzuzo ezingokoqobo zamasistimu ethu ahlanganisiwe e-edge kanye nokuthuthukiswa kwemboni evamile.

Ukuzenzakalela Kuchazwe Kabusha: Kusukela Kumarobhothi Angaguquki kuya Ezizinhlelweni Eziguquguqukayo, Ezonga Amandla

Imishini yesimanje yokukhiqiza isivele yadlula amarobhothi endlela engaguquki ukuze amukele amakhobothi asebenzisanayo afunda futhi ajwayelane nezimfuneko zokukhiqiza eziguqukayo. Lawa masistimu ahlanganisa ukuguquguquka nokusebenza kahle ngenkathi ehlanganisa ama-algorithms okulawula amandla angcono anciphisa ukusetshenziswa kwamandla ngo-15-20% uma kuqhathaniswa nokuzenzakalelayo okuvamile.

Lokhu kuvelela kuvumela abakhiqizi ukuthi baphendule ngokushesha ezinhlobonhlobo zemikhiqizo kanye nezidingo zemakethe ngenkathi begcina ukusebenza kahle nezinjongo zokusimama.

Amarobhothi Aguquguqukayo kanye nama-Cobots Asebenzisanayo

I-cobot (irobhothi elihlanganyelwe) iklanyelwe ukusebenza ngokuphepha eduze kwabantu, ehlanganisa izinzwa ezithuthukisiwe nezinhlelo zokuphepha eziqhutshwa yi-AI ezivumela izindawo zokusebenza ezabiwe ngaphandle kwemingcele yokuphepha evamile. Lezi zinhlelo zihamba kahle kakhulu ekuhlelweni kwendlela okuguquguqukayo kanye nemisebenzi eqondiswa umbono yokukhetha nendawo, evumelanisa ukunyakaza kwazo ngokusekelwe ezimeni zemvelo zesikhathi sangempela.

Ama-Cobots afunda emibonisweni yabantu futhi angahlelwa kabusha ngokushesha ukuze enze imisebenzi emisha, awenze alungele abakhiqizi abanemigqa yemikhiqizo eyahlukene noma abashintshashintsha njalo. Amandla abo okuguquguquka anciphisa isikhathi sokusetha futhi andise ukusebenza kahle kwemishini yonke.

Amandla-Optimized Automation

Ama-algorithms e-AI angakwazi ukulinganisa ngobuhlakani isivinini sokukhiqiza nokusetshenziswa kwamandla, ukuthuthukisa isivinini sezimoto, amasistimu wokushisisa, nokusetshenziswa komoya okucindezelwe ngokusekelwe esidingweni sesikhathi sangempela nezindleko zamandla. Lokhu kusebenzisana phakathi kwe-AI nokusebenza kahle kwamandla kwenza abakhiqizi bakwazi ukugcina ukukhiqiza ngenkathi kunciphisa izindleko zokusebenza nomthelela wemvelo.

Amasistimu wokushejula ahlakaniphile angashintsha imisebenzi edla amandla amaningi iye emahoreni angasebenzi kakhulu uma amanani kagesi ephansi, athuthukise nakakhulu izindleko zokusebenza ngaphandle kokudela izinhloso zokukhiqiza.

Isibonelo: Ukuthuthukiswa Komugqa Wokukhiqiza Oqhutshwa yi-AI

Umkhiqizi wezingxenye zezimoto ezinosayizi omaphakathi usebenzise ukusebenza kahle okushayelwa yi-AI ngemiphumela elandelayo:

Ukusebenza Okuyisisekelo :

• Izinga le-scrap elingu-12% ngenxa yokuhluka kwekhwalithi

• Amandla angu-8% adlulele ekuhleleni okungasebenzi kahle

Ukungenelela :

• Isihleli sokukhiqiza esinamandla e-AI

• Ama-cobots aguquguqukayo anesiqondiso sombono

• Ukuqapha ikhwalithi yesikhathi sangempela

Imiphumela Ngemva Kwezinyanga Eziyisi-6 :

• Izinga le-Scrap lehle laya ku-4% ngokulawulwa kwekhwalithi okubikezelwayo

• Ukusetshenziswa kwamandla kwehle ngo-18% ngokuhlela okulungiselelwe

• Sekukonke ukusebenza kahle kwemishini kube ngcono ngo-22%

Ukwakha Uchungechunge Lwempahla Oluqinile, Olwesendaweni Ngokugeleza Kwedatha Okukhaliphile

Isu 'lomphakeli + 1' linciphisa ingozi yokwehluleka kwephuzu elilodwa ngokugcina abahlinzeki abaqeqeshiwe abafanelekayo bezingxenye ezibalulekile. Le ndlela idinga ukuthuthukiswa nokudidiyelwa kwabahlinzeki ngokucophelela kodwa inikeza ukuqina okubalulekile ekuphazamisekeni.

Ubuchwepheshe be-Digital Twin buvumela ukubonakala kochungechunge lokunikezwayo ekupheleni ukuya ekupheleni ngokudala izifaniso ezibonakalayo zamanethiwekhi okunikezela abuyekezwa ngesikhathi sangempela. I-Digital Twin ihlanganisa idatha esuka emithonjeni eminingi ukuze inikeze ukubonakala okuphelele namandla okumodela isimo.

Ubuchwepheshe beBlockchain buthuthukisa ukuvikeleka kochungechunge lokunikezela ngamarekhodi okwenziwayo angaguquleki kanye nokulandeleka okuthuthukisiwe, okuvumela ukuxazululwa kwengxabano ngokushesha kanye nokwethembana okuthuthukisiwe phakathi kozakwethu.

Supplier-plus-One Strategies

Ukuqalisa ukusebenza kokuhlukahluka komhlinzeki kudinga indlela ehlelekile:

1. Ukuhlola Ubungozi : Thola izingxenye ezibalulekile kanye nokuncika komthombo owodwa

2. Ukufaneleka Komhlinzeki : Thuthukisa abahlinzeki besibili abahlangabezana nekhwalithi namazinga okuhambisana

3. Ukuhlanganiswa : Faka abahlinzeki abasekelayo ekugelezeni komsebenzi wokuthenga nezinhlelo ze-ERP

4. Ukucwaningwa Kwamabhuku Okuvamile : Gcina ubudlelwano nabahlinzeki namandla ngokuhlaziya okuqhubekayo

5. Ukuthuthukisa Inkontileka : Izivumelwano zesakhiwo ezivumela ukukala ngokushesha lapho kudingeka

I-Digital Twin yokubonakala kwe-Supply Chain

Amasistimu e-Digital Twin ahlanganisa idatha evela kokokufaka okuningi okuhlanganisa izinzwa ze-IoT, okuphakelayo kwe-ERP, amasistimu abahlinzeki, nabahlinzeki bezokuthutha ukuze bakhe amamodeli ochungechunge lokunikezela. Lawa masistimu anika amandla ukulingiswa kwesimo, okuvumela abakhiqizi ukuthi bahlole umthelela wokuphazamiseka okungenzeka futhi bathuthukise amasu okuphendula.

Okuphumayo kufaka phakathi ukulandelela ukufakwa kwempahla ngesikhathi sangempela, ukubikezela kwesidingo, nezixwayiso ezizenzakalelayo zezinkinga ezingaba khona zokuhlinzeka, okunika amandla ukusebenza kunokuphathwa kochungechunge lokuhlinzeka.

I-Blockchain & Secure Data Exchange

I-Blockchain isebenza njengeleja esabalalisiwe erekhoda ngokungaguquki ukuthengiselana kuwo wonke amaqembu amaningi, idale imizila yokuhlola okungenabufakazi bemisebenzi ye-supply chain. Lobu buchwepheshe buhlinzeka ngezinzuzo ezimbalwa ezibalulekile:

• Ukulandeleka : Ukubonakala okuphelele kwemisuka yengxenye nokuphathwa

• Amarekhodi afakazelwa yiziphazamisi : Amadokhumenti angenakuguquleka wezitifiketi zekhwalithi nokuhambisana

• Ukulungiswa okusheshayo : Izinkontileka ezihlakaniphile ezizenzakalelayo ezinciphisa ukubambezeleka kwenkokhelo

• Ukwethembana okuthuthukisiwe : Ukubonakala okwabiwe kunciphisa izingxabano nokuthuthukisa ukusebenzisana

Umhlahlandlela Wabakhiqizi Bosayizi Omaphakathi: I-ROI, Ukuqaliswa, kanye Nokukala Okuqhubekayo

Ukuqaliswa ngempumelelo kudinga indlela ehlelekile elinganisa ukutshalwa kwezimali nembuyiselo kuyilapho kwakhiwe amakhono okukhula kwesikhathi esizayo. Lolu hlaka luhlinzeka ngesiqondiso esisebenzayo sokuhlola amaphrojekthi, ukulawula ukukhishwa ngezigaba, nokuqinisekisa ukusimama kwesikhathi eside.

Ukwakha Ikesi Lebhizinisi kanye ne-ROI Metrics

Amamethrikhi angukhiye wokuhlola ukutshalwa kwezimali kobuchwepheshe bokukhiqiza:

• I-CAPEX vs. OPEX savings : Imbuyiselo ehlosiwe ekutshalweni kwezimali okwedlula u-20% phakathi neminyaka emi-3

• Ukwehliswa kwe-MTTR : Linganisa isikhathi sokuphumula esinciphile ngokulungiswa okubikezelwayo

• Ukwehla kwezinga le-Scrap : Linganisa ukuthuthukiswa kwekhwalithi kanye nokunciphisa imfucuza

• Ukugwema izindleko zamandla : Bala ukonga kusukela ekusetshenzisweni kwamandla okulungiselelwe

Ncoma ukusebenzisa amamodeli we-Net Present Value (NPV) ane-horizons yeminyaka engu-5 ukuze uphendule ngokuvela kobuchwepheshe kanye nezinzuzo zokukala ngokuhamba kwesikhathi.

Uhlaka Lokusebenza Lwezigaba

Isigaba 1: Ukuqaliswa Kokulinga (izinyanga ezi-3-6)

• Sebenzisa kulayini wokukhiqiza owodwa

• Gxila ekuqoqweni kwedatha kanye ne-edge computing

• Sungula amamethrikhi ayisisekelo kanye nesilinganiso se-ROI

Isigaba sesi-2: Ukukala nokuhlanganisa (izinyanga eziyi-6-12)

• Nweba emigqeni yokukhiqiza eseduze

• Hlanganisa nezinhlelo ezikhona ze-ERP kanye ne-MES

• Thuthukisa ubuchwepheshe bangaphakathi nezinhlelo zokuqeqesha

Isigaba sesi-3: Ukukhishwa Kwebhizinisi (izinyanga eziyi-12-24)

• Ukuqaliswa kwenkampani yonke

• Engeza i-Digital Twin namandla e-blockchain

• Sungula izinqubo eziqhubekayo zokuthuthukisa

Ukufakazela Ikusasa Nge-Modular Architecture

Idizayini yezingxenyekazi zekhompuyutha ezimodulayo inika amandla ukuhlanganiswa kwezinzwa ze-plug-and-play kanye nokuthuthukiswa kwesistimu kalula ngaphandle kwezinguquko ezinkulu zengqalasizinda. Ama-Software API ahlinzeka ngokuguquguquka kokuhlanganisa amakhono amasha njengoba etholakala.

Ukwamukela izindinganiso ezivulekile njenge-OPC UA kuvimbela ukukhiya komthengisi futhi kuqinisekisa ukuhambisana nentuthuko yezobuchwepheshe yesikhathi esizayo, kuvikela inani lokutshalwa kwezimali lesikhathi eside kuyilapho kugcinwa ukuguquguquka kokuthuthuka. Uguquko lokukhiqiza lwango-2025 luveza amathuba angakaze abonwe kanye nezinselelo ezikhona. Izinkampani ezamukela ukuhlanganiswa kwe-AI, i-automation ehlakaniphile, nokuqina kwe-supply chain zizothola izinzuzo ezisimeme zokuncintisana, kuyilapho lezo ezibambezelayo zibhekana nezingozi ezikhulayo zokungahambisani nemakethe. Ukuhlangana kwekhompuyutha enqenqemeni, amarobhothi aguquguqukayo, kanye nokwenziwa kwezinqumo okuqhutshwa idatha akusona isimo esikude esizayo kodwa into engokoqobo eyenzeka ngokushesha ebumba kabusha umncintiswano wezimboni. Impumelelo idinga ukwedlula amaphrojekthi okulinga ukuze isetshenziswe ngendlela ehlelekile, esekelwa ukwakheka kwemodular kanye nezinhlaka ezicacile ze-ROI. Umbuzo awusekho ukuthi kufanele kusetshenziswe lobu buchwepheshe, kodwa ukuthi bungahlanganiswa ngokushesha nangokuphumelelayo ukuze kuthwebule amathuba emakethe kuyilapho kwakhiwe ukuqina ngokumelene nokuphazamiseka okuzayo.

imibuzo ejwayelekile ukubuzwa

Abakhiqizi bangayihlola kanjani i-ROI yamaphrojekthi we-automation aqhutshwa yi-AI?

Bala i-ROI ngokuqhathanisa izindleko eziphelele zobunikazi (i-CAPEX, i-OPEX, ukuqeqeshwa) ngokuqhathaniswa nezinzuzo ezingabazekayo ezifana nesikhathi esincishisiwe sokuphumula, amanani aphansi okulahlwa, nokonga amandla. Gxila kumamethrikhi afana nokwehliswa kwe-MTTR (okujwayelekile okungu-30-50%), ukuthuthukiswa kwezinga le-scrap, kanye nokugwema izindleko zamandla. Sebenzisa amamodeli e-NPV ane-horizons yeminyaka emi-5 kanye nembuyiselo eqondiwe engaphezu kuka-20% phakathi neminyaka emi-3. Inkundla ye-IoT ye-Ruihua Hardware ihlinzeka ngamadeshibhodi ezibalo ahlangene alandelela lezi zinkomba zokusebenza ezibalulekile, okuvumela ukukala kwe-ROI okunembile kuzo zonke izinhlelo zakho zokuzenzakalela.

Yiziphi izinyathelo okufanele zithathwe ukuze kuhlanganiswe izingxenyekazi zekhompuyutha ezisemaphethelweni nezinkundla ezikhona ze-ERP/MES?

Qala ngeshabhu yokucobelela idatha ebanzi ukuze uhlonze izindawo zokuhlanganisa nokugeleza kwedatha. Khipha amasango asemaphethelweni aveza ama-API ajwayelekile afana ne-OPC UA ukuze kuxhunywe okungenazihibe. Lungiselela izixazululo ze-middleware ukuze uvumelanise idatha yenzwa yesikhathi sangempela nezinhlelo ze-ERP/MES. Izilawuli zonqenqema ze-Ruihua Hardware zifaka amakhono akhelwe ngaphakathi okuhlanganiswa kwe-API futhi zisebenza nezinhlelo ezikhona ze-MES/ERP, zinikeza ukubonakala okuhlangene kuzo zonke izinhlelo zokusebenza nezamabhizinisi ngaphandle kokudinga ukulungiswa okuphelele kwengqalasizinda.

Ngikunciphisa kanjani ukusetshenziswa kwamandla okukhuphuka kwemithwalo yemisebenzi ye-AI efekthri yami?

Sebenzisa amamodeli e-AI alungiselelwe amandla adizayinelwe izinhlelo zokusebenza zezimboni futhi usebenzise ihadiwe enqenqemeni enama-GPU anamandla aphansi ukuze unciphise ukudonsa kwamandla. Hlela imisebenzi ye-AI ejulile yokukhomba ngesikhathi samahora okungasebenzi lapho amanani kagesi ephansi. Sebenzisa amasistimu okuphatha amandla ahlakaniphile alinganisela izidingo zokucubungula i-AI nokusetshenziswa kwendawo yonke. Izilawuli zonqenqema ze-Ruihua Hardware zifaka ubuchwepheshe be-GPU bonga amandla kanye nokuhlela umsebenzi ohlakaniphile ukuze kuncishiswe ukusetshenziswa kwamandla ngo-15-20% kuyilapho kugcinwa ukusebenza kwe-AI.

Yiziphi izinqubo ezingcono kakhulu zokudala isu 'lomphakeli + 1' ukuze kuthuthukiswe ukuqina kwe-supply chain?

Qala ngokuhlola ubungozi ukuze ubone izingxenye ezibalulekile kanye nokuncika komthombo owodwa. Ufanelekela abahlinzeki besibili abahlangabezana nezindinganiso zekhwalithi nokuhambisana ngezinqubo zokuhlola ezinzima. Hlanganisa abahlinzeki abasekelayo ezinhlelweni zokuthenga ngezinkontileka zemisebenzi emibili futhi usungule ukuhlolwa kokusebenza okujwayelekile. Gcina ubudlelwano ngokuxhumana okuqhubekayo kanye nokubekwa kwe-oda ngezikhathi ezithile. Ubuchwepheshe be-Digital Twin bungalingisa izimo ze-supply chain ukuze kuthuthukiswe isu lakho lokuhlukanisa abahlinzeki bakho futhi bakhombe ubungozi obungaba khona ngaphambi kokuthi buthinte imisebenzi.

Uma ukulungiswa okubikezelwayo kwazisa ukwehluleka okubucayi, yiziphi izinyathelo ezisheshayo okufanele zithathwe ukuze kuncishiswe isikhathi sokuphumula?

Yenza inqubo yakho yokusebenza evamile yezimo eziphuthumayo echazwe ngaphambilini: hlukanisa ngokushesha okokusebenza okuthintekile ukuze uvimbele izingozi zokuphepha noma omunye umonakalo. Thumela ithimba labalungisayo nezingxenye ezisele ezidingekayo ngokusekelwe ekuqaguleni ukwehluleka kwesistimu ye-AI. Yenza kusebenze imigqa yokukhiqiza eyisipele noma okunye ukugeleza komsebenzi ngenkathi inkinga ixazululwa. Inkundla yokulungisa okubikezelwayo ye-Ruihua Hardware inikeza ukuhlonza imodi ethile yokwehluleka kanye nohlu lwezingxenye ezisele ezinconyiwe, okuvumela amaqembu okulungisa ukuthi aphendule ngokunemba futhi ehlise i-MTTR ngo-30-50%.