Abstract

A dynamic systems approach is proposed to investigate challenges of implementing production leveling and associated costs. A model of a lean cell is developed using system dynamics. The model captures various lean tools influencing production leveling. Comparative cost analysis between various leveling implementation policies for stochastic demand with multiple products is conducted. Results showed that determining the most feasible leveling policy is highly dictated by both capacity scalability cost and limitations. The developed model and revealed insights can help lean practitioners to better decide on when and how to implement production leveling as well as determine production lots sizes.

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Industrial Technology

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URL: http://digitalcommons.calpoly.edu/it_fac/77