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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…mehr

Produktbeschreibung
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.
Autorenporträt
Prof. Dr. Kong Wai Man Ray (Senior Member, IEEE) Hong Kong, China. He is the Chairman of the Intelligent Manufacturing Technology Committee in the Doctor Think Tank Academy and Vice President of CityU Engineering Doctorate Society (VP EngDS).He is a Senior Member of IEEE and member of IET. He published more articles and book chapter in the Journal.