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    August, 2014

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    August 2014| 64 Pages

    The 2nd Delhi-NCR Worker Survey adds to this issue of SW critical knowledge for a proactive apparel manufacturer, by focusing on the aspects of skill development and delving further into it with a Training Needs Analysis of the workforce in the region. Conducted in 35+ factories spread out in Noida, Okhla, Gurgaon, Faridabad and Mayapuri, the survey highlighted the willingness of the sewing operators to improve on the lines of quality, speed and efficiency. One of the most surprising findings of the survey are –89% of the sewing operators have not received any kind of formal training and 85% want to improve in the area of Right First Time Quality. Continuing the pursuit for achieving higher productivity by developing Industrial Engineering practices, StitchWorld has discussed the concept of Methods Improvement in its current issue. The in-depth article talks about both the theoretical steps for conducting methods study, along with various tools that can be used to do the same and also various scenarios from a shopfloor, exemplifying how to go about methods improvement. First of the series on Industrial Engineering, thearticle due to its holistic approach guides a company or an industrial engineer to conduct Methods Study with definite improvements. This edition of SW has two vital ‘IT success stories’… The first being that of KIMO Clothing, a Noida based high-fashion womenswear manufacturer, which has utilized APPS ERP solution for seamless communication within and outside the company. With a customized TnA calendar, KIMO has completely overcome issues of on-time deliveries and capacity utilization. The second story is on Machine 2 Machine Communication that can connect several machines to each other in remote locations via sensors. Machine 2 Machine Communication happens between two machines directly without any human intervention, avoiding misinterpretation of commands and latency in the desired results. Currently used in preventive maintenance for remote diagnostics, the technology can be used for predictive maintenance in the future.

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