HTC Global cap­i­talises on 3-pronged strate­gic soft­ware so­lu­tions

Auto components India - - CONTENTS - Story by: Bhar­gav TS ACI

HTC Global Ser­vices, a global provider of IT so­lu­tions and Busi­ness Process Out­sourc­ing so­lu­tions, is recog­nised widely as IT and IT en­abled ser­vice provider. The com­pany also has a walk-through in man­u­fac­tur­ing so­lu­tions es­pe­cially to au­to­mo­tive in­dus­try. Au­to­mo­tive in­dus­try’s ma­jor hic­cups are iden­ti­fied and need-based­so­lu­tions are coded by the com­pany. Ar­ti­fi­cial in­tel­li­gence is the topic which has been high­lighted by the com­pany. The three-pronged strate­gies like ma­chine learn­ing, En­ter­prise Re­source Plan­ning (ERP) so­lu­tions and pre­dic­tive main­te­nance are also fea­tured.

Data anal­y­sis is the only so­lu­tion in the mar­ket as more and more tech­nolo­gies are get­ting evolved. That is go­ing to be the root cause for re­search and de­vel­op­ment. Ar­ti­fi­cial In­tel­li­gence will op­ti­mise the pro­cesses and re­duce the R&D ex­penses. Data anal­y­sis gets var­ied with the pat­terns. In turn ma­chine learn­ing de­pends on the pat­terns within the data. Man­ag­ing a large amount of data is cum­ber­some and ‘Big Data’ has come to us as a res­cue. The ‘Big Data’ is ca­pa­ble of analysing ex­tremely large sets of data and re­veal pat­terns, trends and as­so­ci­a­tions. Ir­rel­e­vant as­so­ci­a­tions and pat­terns at times will give so­lu­tions for a stag­nant is­sue. The pro­cessed data can iden­tify the pat­terns and machines can learn from the al­go­rithms and pre­dict any failure in­volved in the com­po­nents well in ad­vance.

Any com­pany which does pre­dic­tive main­te­nance could get a cost lever­age of up to 20%, the com­pany stated. “We are work­ing with OEMs, com­po­nent sup­pli­ers (Tier-1s) to com­ply with the stan­dards and reg­u­la­tions. We also give shop floor so­lu­tions through which lean man­u­fac­tur­ing tech­niques are adapted. Tra­di­tional way of sta­tis­ti­cal cal­cu­la­tion does give so­lu­tions com­put­ing the data but the pat­terns keep on chang­ing. Hence the process has to be re­cur­rent and will be in­com­modi­ous. But with ar­ti­fi­cial in­tel­li­gence machines are able to ad­just the al­go­rithms cor­re­lat­ing with the pat­terns,” Chary Mudumby, Chief Tech­nol­ogy Of­fi­cer, HTC Global Ser­vices, said.

With ERP in place there are a lot of ad­van­tages not only in de­duc­ing pat­terns from data but also in the Sup­ply Chain Man­age­ment. For data anal­y­sis through ERP, SAP HANA (High Per­for­mance An­a­lytic Ap­pli­ance) is in­volved. Based on the data from dif­fer­ent sources any up­stream changes could be han­dled. It is also not nec­es­sary to go for cus­tomised cod­ing as the in­vest­ment is cap­i­tal­in­ten­sive. Through cloud avail­able al­go­rithms can be sub­scribed and com­po­nent-wise bet­ter­ment is achieved through data an­a­lyt­ics. Trace­abil­ity down the level is a ma­jor chal­lenge as tier-3 sup­pli­ers lack the needed in­fra­struc­ture. In or­der to lever­age the ad­van­tage from the scratch, a bot­tom-up ap­proach is needed. Cloud com­put­ing is ad­vis­able which will not fire the pocket of the tier-3s and con­cur­rently high­lights the la­cu­nae.

The fac­to­ries which have pre­dic­tive main­te­nance in the shop floor can in­crease their ef­fi­ciency. They can work on down­time, in­ven­tory man­age­ment and change-over lags. The machines also need to check their health and that is also pos­si­ble. “We are au­tomat­ing the op­er­a­tions where the machines can iden­tify the tem­per­a­ture and hu­mid­ity. For elec­tronic com­po­nents this will be more ap­pli­ca­ble. The data flow has to be seam­less and there should be con­cur­rence in en­gi­neer­ing sys­tem, ERP sys­tem and ex­e­cu­tion sys­tem,” high­lighted Mudumby.

The com­pany also pro­vides telem­atic so­lu­tions to the com­pa­nies. In the ERP sys­tem it­self, the com­pany in­ter­faces telem­at­ics. Ev­ery in­for­ma­tion is recorded like the driver be­hav­iour, speed of the ve­hi­cle, the path fol­lowed which will act as data for var­i­ous so­lu­tions to be ar­rived at. The com­pany is us­ing its telem­atic so­lu­tions to keep a track of its own fleet. “With 10000+ work­ers we need telem­at­ics to track our own fleet. We are also work­ing on var­i­ous com­plaints and code so­lu­tions,” Mudumby said.

The fu­ture plans in man­u­fac­tur­ing sec­tor is ori­ent­ing to­wards tech­nol­ogy ar­eas like ma­chine learn­ing, the com­pany stated. “We have Python like tools which fa­cil­i­tate ma­chine learn­ing. In­dia is a very big mar­ket for us next to the US. In China we sup­port the com­pa­nies that have base in the US and In­dia and us­ing our so­lu­tions but we have not des­ig­nated China as one of our ‘De­vel­op­ment Cen­tres’,” con­cluded Mudumby.

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