Scale manufacturing assembly line plays a critical role in enabling a factory to supply on time and at the right volume and quality. The production assembly line encounters many problems in manufacturing to produce the scale. In order to full fill the on-time delivery to the customer to trap the shipment delivery, production needs to do extra time to whole it. The value stream mapping approach will use to try and overcome the problem, discover the waste thru the manufacturing processes, material flow and put in force lean manufacturing tools. Current value stream mapping has recognized various troubles and determined that material preparation flow contributed a lot to the trouble as a result of decreased productivity. During manufacturing running, part preparation a mix between mainline and sub-assembly into 1 large trolley which is for the duration of changing model, mainline is waiting until the sub-assembly part material is completed put together by the material handle. Daily production target was once described base on estimation between the line leader and manufacturing supervisor as an alternative of the base on the assembly line process bottleneck. Lack of production arrangement, poor production layout, and product defect flow has been created excessive WIP in the production assembly line due to there used to be a contraflow. The lean implementation through Single minutes change of dies (SMED) and the Kaizen method has deployed to reduce higher exchange over time, improve yield, increase productivity, cost reduction and future state map will be recorded. Future state map shows, 2 racks single point scheduling system implementation reduces exchange over time by a mean of 60 %, layout optimization reduces 2 manpower and reduces WIP by a mean of 40.6 %, yield improvement to 98%, and reduce production lead time by a mean of 29.06%.
CITATION STYLE
Lamani, E., Ahmad, A. N. A. B., & Ahmad, M. F. B. (2020). Lean manufacturing implementation to reduce waste on weighing scale assembly line. International Journal of Emerging Trends in Engineering Research, 8(1 1.2 Special Issue), 40–51. https://doi.org/10.30534/ijeter/2020/0781.22020
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