Reduction of Manufacturing Lead Time by Value Stream Mapping of a Selected RMG Factory in Bangladesh

نویسندگان

چکیده

Bangladesh is a fast-growing economy powered by the readymade garments (RMG) industry which has promoted country in world through motto ‘Made Bangladesh’. The RMG become lifeline of Bangladesh. However, this faces several significant obstacles to its continued, sustainable expansion. trading climate very competitive because phase-out export quota system. Additionally, with today’s rapid fashion, consumers want items short lead times and affordable prices. Adopting lean methodology across board garment business essential for long-term sustainability cutthroat context. Lean manufacturing philosophy deliver finest goods on time minimum endeavor less price. aims cut remove wastes that don’t impose value products. purpose research identify reduce eliminating or reducing excess tasks cause higher implementing concepts. But difficult task. During visit selected factory, Short Sleeve T-shirt, one their products, was conducting research. All processes were observed required transformation raw materials into finished T-shirt. observations, study applied collect data. Necessary information gathered observing interacting executives. Then, current state stream mapping drawn. Wastes, responsible longer time, ranked taking help an 80-20 rules diagram. After this, root analysis performed find reasons unwanted consumption. Improvement strategies introduced waste. tools like Kanban WIP, Single Minute Exchange Die changeover Total Productive Maintenance machine breakdown used minimize Based improvement strategies, mapping’s future illustrated, showing refinement where total reduced 61.20%. Finally, suggested some recommendations management factory waste increase efficiency operations. This illustrates usual conditions presenting stream. Bangladeshi clothing sector must completely embrace principles embark direction growth.

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ژورنال

عنوان ژورنال: Asian journal of engineering and applied technology

سال: 2023

ISSN: ['2249-068X']

DOI: https://doi.org/10.51983/ajeat-2023.12.1.3578