Top 5 Supply Chain Technologies awukwazi ukuZihoya

Amakhonkco onikezelo lwehlabathi amele uthungelwano oluntsonkothileyo, oludityanisiweyo oluququzelela ukuhamba kweempahla neenkonzo. Le nkqubo intsonkothileyo ibandakanya izinto ezininzi, kubandakanya ababoneleli, abavelisi, abasasazi, abathengisi, kwaye ekugqibeleni, abathengi. 

Ukwamkelwa kobuchwephesha bokubonelela kunye nezixhobo zesoftware kunokubonelela amashishini ngesandla esiphezulu ekulawuleni le nethiwekhi inzima. Itekhnoloji entsha inokuphucula kakhulu ukubonakala, ikhuthaze ulungelelwaniso olungcono, izenzele imisebenzi ephindaphindwayo, kunye nokukhawulezisa iinkqubo zokwenza izigqibo.

Qhubeka ufunda njengoko sijonga indlela itekhnoloji echaphazela ngayo ulawulo lwekhonkco lonikezelo ngokuphonononga iitekhnoloji ezintlanu zokubonelela eziya kunceda iinkampani zilawule imisebenzi yazo ngokulula nangempumelelo!

Isiqulatho
Itekhnoloji iluchaphazela njani ulawulo lwekhonkco lonikezelo?
Iitekhnoloji ezintlanu zobonelelo oluya kubumba kwakhona ikamva
Lungiselela itekhnoloji yekhonkco lonikezelo: imingeni kunye nezisombululo

Itekhnoloji iluchaphazela njani ulawulo lwekhonkco lonikezelo?

Itekhnoloji iye yaba sisiseko solawulo lwekhonkco lokubonelela, izisa utshintsho olungazange lubonwe ngaphambili oluphucula ukusebenza kakuhle, ukunciphisa iindleko, kunye nokwandisa ukwaneliseka kwabathengi. 

Ukusuka ekusebenziseni iirobhothi kunye ne-Intanethi yeZinto (i-IoT) kwindawo yokugcina iimpahla ukuya ekuxhaseni ubukrelekrele bokwenziwa (AI) kuqikelelo lwemfuneko, iinkampani zamkela ngokubanzi kwaye zidibanisa itekhnoloji yobonelelo oluphambili.

Nantsi indlela itekhnoloji eguqula ngayo ulawulo lwekhonkco lokubonelela:

• Ukubonakala okongeziweyo: Iinkampani ngoku zamkela itekhnoloji efana ne-RFID kunye ne-IoT ukomeleza ukulandeleka kulo lonke ikhonkco lokubonelela. Oku akunikezeli kuphela ulwazi oluhlaziyiweyo kunye nolwazi oluchanekileyo malunga nobume bemveliso kodwa luvumela ukuthathwa kwezigqibo ngexesha langempela ngokusekelwe kwimeko yangoku yekhonkco lokubonelela.
• Ukuphuculwa kwemveliso: Ukwamkela iirobhothi kunye ne-automation kwimisebenzi yokuvelisa kunokunyusa ngokukhawuleza imveliso. Ezi teknoloji ziyakwazi ukwenza imisebenzi ephindaphindiweyo ngokukhawuleza kwaye ngokuchanekileyo ngakumbi, ukunika amashishini ithuba lokwandisa izixhobo zabo.
• Uqikelelo oluchanekileyo lwemfuno: Ngoncedo lwe-AI kunye nokufunda koomatshini, iinkampani zinokuqikelela imfuno yemveliso ngokuchanekileyo ngakumbi. Olu tshintsho luvumela ngcono lawulo lwezinto kwaye inqanda ukuphela kwamayeza okanye uluhlu lwempahla olugqithisileyo, nto leyo ekhokelela ekongisweni kweendleko.
• Unxibelelwano olusebenzayo: Itekhnoloji yekhonkco lonikezelo azisapheleli kwimisebenzi yenyama. Iiplatifti ezisekelwe kwifu kunye nezixhobo zedijithali zenze ukuba kube lula ukunxibelelana ngokungenamthungo kunye nentsebenziswano, kungekhona nje ngaphakathi kwintlangano kodwa kunye namaqabane angaphandle kunye nabanikezeli.

Iitekhnoloji ezintlanu zobonelelo oluya kubumba kwakhona ikamva

Ke siyazi ukuba itekhnoloji iba ngumqolo wekhonkco lonikezelo lwehlabathi, kodwa zeziphi itekhnoloji ezithile eziya kuba ngabatshintshi bemidlalo? Makhe siphonononge iindlela ezi-5 zetekhnoloji yobonelelo ezinokutshintsha indlela amashishini asebenza ngayo ngonaphakade.

1. Uhlalutyo oluqikelelweyo nge-AI kunye nokufunda komatshini

Kumhlaba wanamhlanje okhuphisanayo, ukukwazi ukuqonda kunye nokuqikelela ukuziphatha kwabathengi kubalulekile kwiinkampani ezizamela ukuphumelela kwindawo yentengiso. Njengoko ulindelo lwabathengi luqhubeka nokuvela ngokukhawuleza, amashishini kufuneka aqonde utshintsho olubalulekileyo kumaxabiso okuthenga kunye nezizathu. 

Uphando lwamva nje lwe-Accenture lwabathengi behlabathi abangama-25,000 lufumanise oko I-33% yabaphenduli baxele ukuba ukhetho lwabo lutshintsha rhoqo. Ukuhlala phambi kwejika, amashishini amaninzi aguqukela kubukrelekrele bokwenziwa (AI) kunye nokufunda koomatshini njengezisombululo zokuhlalutya idatha yabathengi bembali kunye nokuqikelela imfuno yexesha elizayo.

Uhlalutyo oluqikelelweyo, oluxhaswa yi-AI kunye nokufunda komatshini, luvumela amashishini ukuba ahlalutye idatha enkulu, njengezithuba zeendaba zoluntu okanye ukuphononongwa kwemveliso, ukwenza uqikelelo oluchanekileyo malunga nendlela abathengi abaya kuziphatha ngayo kwinyanga ezayo, iveki, okanye usuku. 

Ngokomzekelo, amashishini e-e-commerce angasebenzisa i-algorithms yokufunda koomatshini ukuvavanya ukuthengwa kwangaphambili kunye nembali yokukhangela ukudala amava omntu kubathengi babo. Le ndlela ifana neengcebiso ze-movie zeNetflix, kuphela kule meko, iifilimu zitshintshwa ngeemveliso.

2. Ukulandelela ixesha lokwenyani kunye nokulandeleka nge-IoT

Ulawulo lwekhonkco lonikezelo luhlala luntsonkothile njengoko lubandakanya amanqanaba ahlukeneyo ukusuka ekufumaneni imathiriyeli ekrwada ukuya ekunikezelweni kwemveliso yokugqibela. Ukwandisa, ugxininiso lutshintshela ekwandiseni ukubonakala kokuphela ukuya ekupheleni kunye nokungafihli kule nkqubo ngokulandelwa kwexesha langempela kunye nokulandelwa.

Olu tshintsho lubalulekileyo luya kuququzelelwa yi-Intanethi yeZinto (yasebukhosi-) itekhnoloji, enikezela ngamashishini e-e-commerce isakhono sokulandelela iindawo zemveliso kunye nokubeka iliso kwiindlela zothutho lwempahla ngoko nangoko.

I-IoT inokuqondwa njengothungelwano lwezixhobo ezibonakalayo, ukusuka kwizithuthi ukuya kwizinto zemihla ngemihla ezifakwe kwi-smart sensors kunye noqhagamshelwano lwenethiwekhi. Olu nxibelelwano luvumela ezi zinto ukuba ziqokelele ngokuzimeleyo kwaye zitshintshiselane ngedatha, igalelo kwikhonkco lobonelelo olukrelekrele kunye noluguquguqukayo. 

Umzekelo, ukutya okonakalayo kunokugcinwa kwaye kuthunyelwe kwizikhongozeli ezikrelekrele ezixhotyiswe ngomkhondo weGPS kunye nezinzwa zokusingqongileyo ezifana Iimpawu zeRFID. Ezi tags zinokuphendula nokutshintsha kweqondo lokushisa, ukuncedisa amashishini ekugcineni iimeko ezifanelekileyo eziyimfuneko kwiimveliso zabo ezinokonakala ngexesha lokuthutha.

Ngapha koko, ukudibanisa itekhnoloji ye-IoT kunye ulawulo lokugcina inikeza ukulandeleka kwe-inventri ukusuka kwi-odolo yokuthenga yokuqala ngokuziswa. Xa uluhlu lwempahla kwishelufu ethile iwela ngaphantsi komda othile, umzekelo, iinkqubo ze-IoT zinokuvelisa izilumkiso zokuzalisa ngokuzenzekelayo.

3. Ukwenziwa kweDijithali kwamakhonkco obonelelo ngecomputing yamafu

Ukusukela ngo-2021, okumangalisayo I-40% yeengcali zoshishino sele zidityanisiwe ukhomyutha yamafu kwimisebenzi yabo yokubonelela. Olu tshintsho olubhekiselele kwizisombululo ezisekelwe kwilifu luthetha ngokubanzi malunga neenzuzo ezibalulekileyo eziziswa yi-cloud computing etafileni.

Enye yeenzuzo eziphawulekayo kukuba ivumela iinkampani ukuba zigcine idatha efini kunokuba kwiiseva zazo zomzimba. Oku kuphelisa imfuneko yokuba amashishini atyale imali eninzi ekuthengeni nasekugcineni iziseko ezingundoqo ezinexabiso eliphezulu, ngeli lixa eqinisekisa ukuba iinkcukacha zabo ezibuthathaka azikho sesichengeni esincinci kwizoyikiso ze-cyber.

Abaphathi bamakhonkco obonelelo ngoku banokufikelela kwidatha yenkampani yabo kwizixhobo zabo eziphathwayo nanini na beyifuna, bebonelela ngokufikeleleka okungazange kubonwe ngaphambili kunye nolawulo kwiinkqubo zobonelelo olubalulekileyo. Ukusuka ekulandeleni ukuthunyelwa kwempahla ukuya kumanqanaba e-inventory esweni, i-computing yefu yenze le misebenzi yasebenza ngakumbi kwaye ilawuleka kunanini na ngaphambili.

Umzekelo, amashishini anokuphakamisa izisombululo ezifana ne-Chovm's Elastic Compute Service (I-ECS) ukwenza inkqubo yokwabela amagunya apho banokulandela ngokufanelekileyo imilinganiselo yokusebenza yababoneleli, kubandakanywa ukuhanjiswa kwangexesha, amaxesha okukhokela, kunye nomgangatho wempahla.

Ngaphaya koko, amaqonga asekwe kwilifu anokwenza ii-odolo ezingenayo zentengiso kwaye aqalise ngokuzenzekelayo iminyhadala ebalulekileyo yendawo yokugcina impahla efana nokuchola, ukupakisha, kunye nokuhambisa ngenqanawa, okomeleza kakhulu ukusabela kwekhonkco lokubonelela kunye nokusebenza kakuhle.

4. Iindawo zokugcina iimpahla ezizenzekelayo kunye nokuthuthwa ngeerobhothi

Kwiminyaka yakutshanje, ii-automation kunye neerobhothi ziye zanda ngaphaya kwendima yazo yemveli kwimveliso ukuze zidlale indima ebalulekileyo kwimisebenzi yokubonelela, ngakumbi kwezothutho kunye nokugcinwa kwempahla. 

Umzekelo, iirobhothi ezihambayo ezizimeleyo (Ii-AMRs) zinokusetyenziswa kwiindawo zokugcina izinto ukwenza izinto eziphindaphindwayo okanye ezenziwa ngesandla, ezinjengokuchola, ukupakisha, nokuhlela okanye ukuhambisa iipalethi neenqwelana kwizithuba. Ngokuphumeza ii-AMRs kwimisebenzi yabo, amashishini anokunciphisa kakhulu amaxesha awo okukhetha, kwiimeko zokuwanciphisa phantse 50%.

Ukongeza, ukusetyenziswa kwezithuthi ezizimeleyo kunye needrones kuguqula inkqubo yokuhanjiswa, ukuvumela ukuhanjiswa okukhawulezayo nangaphezulu ngaphandle kokungenelela komntu. Oku kubonakala kuluncedo kakhulu ekuhambiseni iipakethe kwiindawo ezikude okanye ekunzima ukufikelela kuzo. Umzekelo, iidrones zinokuba yeyona ndlela isebenzayo yokuthutha iimpahla eziyimfuneko kwiimeko eziphazamisekileyo ezibangelwa ziintlekele zendalo okanye ukusilela kweziseko zophuhliso.

Ngokucacileyo, i-automation ayipheleli ekusetyenzisweni kweerobhothi kunye nezithuthi eziziqhubayo. Iinkampani zinokusebenzisa inkqubo yerobhothi ezenzekelayo (I-RPA) ukulungelelanisa imisebenzi eyahlukeneyo yobonelelo olunjengokulungiswa kwee-odolo kunye nokucwangcisa ukuthunyelwa. 

Nge-RPA, i-bots ye-software inokukhupha ngokuzenzekelayo ulwazi lwe-odolo kwiivenkile ze-intanethi okanye ii-imeyile ezingenayo kwaye ifake idatha kwiinkqubo zolawulo lwe-oda, okukhokelela ekungeneni kwedatha esebenzayo kunye nephutha. 

Ngaphaya koko, ezi bots zinokuvelisa isicwangciso sokuhanjiswa ngokukhetha eyona ndlela ibiza kakhulu kwaye ifike ngexesha elifanelekileyo ngokusekwe kwiiparamitha ezinjengobunzima bepakethi, indawo ekuyiwa kuyo, kunye nefestile yokuhanjiswa kwabathengi.

5. Ukupakishwa okuguquguqukayo kunye nokulungiswa kwendawo kunye noshicilelo lwe-4D

Ngexesha le yokuvelisa, Ushicilelo lwe-3D luye lwaguqula indlela iimveliso eziphathekayo ezenziwe ngayo kwiiplani zedijithali. Le nkqubo yokuvelisa izinto ezintsha yakha iimilo ezintsonkothileyo ngokongeza iileya zemathiriyeli, ngokuchaseneyo neendlela zemveli zokuvelisa ezisika, zokomba, okanye zokukrola izinto kwiibhloko ezinkulu. Nje ngeziphumo, 3D yoshicilelo kunciphisa inkcitho yezinto eziphathekayo.

Nangona kunjalo, kutshanje ukuqhubela phambili kwezobunjineli bazise inqanaba lesine—ixesha-kwi-equation, ekhokelela kuphuhliso loshicilelo lwe-4D. Itekhnoloji yoshicilelo ye-four-dimensional ivumela amashishini ukuba asebenzise imathiriyeli ehlakaniphile esabela kwi-stimuli yangaphandle, kunye nezixhobo ezithile ezinamandla okubuyela kwimilo emisiweyo xa evezwe kwizinto ezivuselelayo ezifana nobushushu, umbane, okanye ukukhanya. 

Oku kuthetha ukuba iinkampani zinokuyila izikhongozeli okanye iibhokisi ezilungelelanisa ubungakanani kunye nokumila kwazo ngokwezinto ezithuthwayo, okukhokelela ekusetyenzisweni ngokufanelekileyo kwendawo kunye nokuphuculwa kokuzinzileyo. 

Ukongeza, ukupakishwa kwemveliso kunokuyilwa ukwandisa kunye nokubonelela nge-cushioning eyongezelelweyo ekuphenduleni uxinzelelo, ekugqibeleni ukukhusela izinto ekuphatheni kakubi. Izicelo ezinokubakho zoshicilelo lwe-4D kwikhonkco lokubonelela azipheli.

Lungiselela itekhnoloji yekhonkco lonikezelo: imingeni kunye nezisombululo

Ubutsha beTekhnoloji buguqula yonke inkalo yokusebenza kwekhonkco lokubonelela. Ukusuka kwi-AI kunye nokufunda komatshini ukuya kushicilelo lwe-4D, ezi zixhobo zivelayo kunye nobuchwepheshe ziya kubumba kwakhona ikamva lolawulo lwekhonkco lokubonelela.

Nangona kunjalo, njengoko zithembisa kwaye ziluncedo njengoko ezi nkqubela zinjalo, akulula njengokwamkela isixhobo esitsha kunye nokulindela iziphumo zangoko. Okulandelayo yeminye yemiceli mngeni ephambili kunye nezisombululo ezinokubakho xa kusamkelwa itekhnoloji entsha yokubonelela:

Ngaba usasokola ukuba yeyiphi itekhnoloji yekhonkco lonikezelo onokuthi uqale ngalo? Qalisa ngokuphucula ukubonakala ngezi izixhobo ezintathu ezibizayo!

Ngaba ujonge isisombululo solungiselelo kunye namaxabiso okukhuphisana, ukubonakala okupheleleyo, kunye nenkxaso yomthengi efikelelekayo? Jonga i Chovm.com Logistics Marketplace namhlanje.