The basic & fundament concept on which the whole Garment/ Apparel industry works is on the basis of SAM/ SMV calculation, which is used for costing, negotiation with buyer, factory production planning, workers target, line efficiency, cost recovery and many more. wrong calculation of SMV/SAM will lead to serious consequences and huge finanacial losses.
The value added in the sewing cycle is only the needle running time. Our solutions help to reduce other non value adding components time and increase needle running time.
With out proper data, solving problems is like shooting all around, but with data you can accurately focus on the issues and solve them easily. digitisation of data leads to real time reports and helps the decision making framework of the team.
Productivity depends on effective use of assets & machineries and therefore investing a few lakhs on asset control when you have invested crores of money into assets is absolute necessary.
Inventory not only involves huge cost, the process of repairs and maintenance, ordering spares and keeping the machines running, takes a toll on the middle level managers and afterall the profit of the company depends on how best the assets are utilised.
In contrast to quality audit and quality checking the creation of systems to ensure quality at source is very effective and beneficial.
Factories spend lot of time on firegighting and trying to solve multiple problem, without realising the fundamental root cause, which is lack of data on the shop floor. For an effective production floor, production and wip data are highly essential.
Absenteeism and retention of skilled workers can be done by proper training and incentives. A skill matrix which is transparent, accessible to all the management, will help the whole team to focus on the objectives of the management.
For any problem solving, the most critiical part is to identify the root cause/bottleneck issues. We at igait with 30 years of expereince in the apparel industry offer our services to solve bottleneck and critical issues, through data analysis.
That helps you to understand what is happening in your business; why it is happening, analysing what if scenarios and reports to help you to decide the solution. move away from unreliable excel data and elaborate data which is not helpful in decision making.