JIT is revolutionizing the Garment Industry, addressing the biggest persistent industry problem of ‘Stocking / Inventory’ or warehousing and stock keeping. The technology uses 'demand-oriented production' to produce what is demanded by the market. It thus has complete control of the utilization of resources with no wastage of fabric or garment. Moreover, there is no warehousing cost involved as Just In Time Garments Manufacturing produces only those garments for which the order is received from the customer. IBA's JIT tech has eliminated the need for stock-keeping in all its product sales - Garments, POD fabric, Home Furnishing & Custom stationery & decorations.
1. THE PROBLEM WITH THE APPAREL & GARMENT INDUSTRY
IBA'S JIT addresses and solves some of the most significant and most troublesome issues facing the global apparel garment market today, viz
a) inability to fulfil apparel orders due to prints or fabrics running out of stock with vendors
b) e-commerce models are inventory led, leading to wastage of unsold inventory and outdated designs/prints/stocks
c) The unsold inventory increases warehousing costs and has to be liquidated at throwaway prices
d) In the event of unsold inventory, the product/garment gets dumped and wasted - this leads to the textile industry becoming the biggest polluter in the world after oil.
2. HOW IBA'S JIT ADDRESSES AND SOLVES THE GLOBAL PROBLEMS PLAGUING THE TEXTILE INDUSTRY
IBA's technology eliminates the need for warehousing & inventory management, ridding the need for ample space, staff, power, service, security expenses. This means eliminating waste, continuous improvement in productivity & reduced costs of production, as manufacturing of the garment commences only after the order is received from the customer. Other solutions of JIT are
a) Prevention of overproduction
b) Reduction of transportation costs, inventory & defective end products
c) Fresh and new dispatched products produced and not kept in storage
d) No Liquidation Required of old goods
e) Reduced WIP (Work In Progress) reducing through-put time
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