Optimized Garment Production Planning
Optimized Linear Programming with the Outward Processing Assembly Model to reduce import tariffs cost
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In the context of global garment manufacturing, companies face significant challenges due to high import tariffs, particularly those imposed on goods produced in China. This has prompted manufacturers to explore innovative strategies, such as separating the Outward Processing Assembly (OPA) of garment sewing parts, which involves producing components in China and completing final assembly in other Asian countries. This study investigates the complexities of production planning within this framework, focusing on optimizing assembly costs while addressing constraints related to labor, machine ca...
In the context of global garment manufacturing, companies face significant challenges due to high import tariffs, particularly those imposed on goods produced in China. This has prompted manufacturers to explore innovative strategies, such as separating the Outward Processing Assembly (OPA) of garment sewing parts, which involves producing components in China and completing final assembly in other Asian countries. This study investigates the complexities of production planning within this framework, focusing on optimizing assembly costs while addressing constraints related to labor, machine capacity, and regulatory policy.Current production planning practices often lead to inefficiencies, including surplus and shortage capacities across factories, resulting in increased costs and late deliveries. To tackle these issues, this research employs stochastic linear programming algorithms to formulate a multistage production planning model aimed at minimizing total assembly costs while ensuring timely delivery of garments.
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