TOOLS FOR IN­DUS­TRY 4.0…

Stitch World - - NEWS -

How would you set up the cut and sew fac­tory in the era of In­dus­try 4.0? How would you do it bet­ter than the prior set-ups and also com­pletely break from the stan­dard cut and sew man­u­fac­tur­ing model? Th­ese are some of the in­ter­est­ing ques­tions which are quite a chal­lenge for the ap­parel sup­ply chain pro­fes­sion­als. Most gar­ment man­u­fac­tur­ing fa­cil­i­ties to­day fall be­tween In­dus­try 2.0 and 3.0 eras.

In­dus­try 2.0 re­volves around a very labour-in­ten­sive process in a fac­tory set­ting where one sees a mass of peo­ple work­ing with low tech­nol­ogy equip­ment and ma­chin­ery do­ing pro­duc­tion work, while gath­er­ing data and anal­y­sis man­u­ally. It was only af­ter 1969 that In­dus­try 3.0 emerged with higher tech­nol­ogy that fa­cil­i­tated faster and re­li­able pro­duc­tion ma­chin­ery as well as the start of au­to­ma­tion.

This was the time when the PC was in­vented and soft­ware ap­pli­ca­tion was de­vel­oped for man­u­fac­tur­ing and the sup­ply chain. This was also the time when the in­ter­net was es­tab­lished and it re­sulted in faster com­mu­ni­ca­tion, shar­ing of in­for­ma­tion, bring­ing the world closer to­gether for those com­pa­nies which had world­wide op­er­a­tions.

Though ap­parel man­u­fac­tur­ing is still to­day en­cap­su­lated be­tween In­dus­try 2.0 and In­dus­try 3.0, Ed Dominguez, Se­nior Man­ager – Fa­cil­i­ties En­gi­neer­ing and Com­pli­ance, Hanes­brands, tries to en­vis­age how 4.0 will look like.

or to the in­ter­nal sys­tems like tablets or the shopfloor con­trol system to show all kinds of in­for­ma­tion on ma­chine per­for­mance and main­te­nance data to the pro­duc­tion staff. Knowl­edge can be shared and also be trans­par­ent. In fact, hun­dreds of ma­chines or sewing lines can be set up by the touch of a but­ton. The ap­pli­ca­tion is lim­it­less for IoT.

In­tel­li­gent Ma­chines

– This makes au­to­ma­tion pos­si­ble with vis­ual imag­ing process us­ing cam­eras. Auto cor­rect fea­tures sense the work con­di­tions and auto cor­rect them­selves to pro­vide the best qual­ity and per­for­mance. They sense them­selves to work op­ti­mally based on the fab­ric, stitch type, parts, speed, etc. Ba­si­cally we are look­ing for smart ma­chines that can take de­ci­sions au­tonomously with­out hu­mans.

Big Data –

‘Big data’, also called as ‘Pre­dic­tive An­a­lyt­ics’, refers to the in­for­ma­tion and com­mu­ni­ca­tion tech­nolo­gies’ trend of pro­cess­ing huge amounts of data in or­der to de­rive the ap­pro­pri­ate data for rapid de­ci­sion mak­ing which will help in in­creased pro­duc­tiv­ity. Knowl­edge is power and with the amount of data/in­for­ma­tion that is cap­tured in real-time, it is a huge ad­van­tage for the plant to be agile and for em­ploy­ees to make ac­cu­rate and fast de­ci­sions to im­prove fac­tory and sup­ply chain per­for­mance.

In con­clu­sion, it’s an ecosys­tem of com­put­ing and dig­i­ti­za­tion uni­verse but the tech­nol­ogy is out there and emerg­ing for those will­ing to see the po­ten­tial. Se­nior Ex­ec­u­tives must serve as role models to in­spire the cul­ture of in­no­va­tion and cre­ativ­ity for the peo­ple to fol­low this new rev­o­lu­tion that is hap­pen­ing now.

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