Adapted IOBPCS model to analyze the impacts of capacity scalability on inventory in a reconfigurable manufacturing environment
Résumé
The scalable design of reconfigurable manufacturing systems (RMSs) allows companies to maintain the manufacturing infrastructure that satisfies current customer demand while still improving production efficiency to react rapidly to new demands. In this paper, a dynamic analysis is conducted to investigate the trade-off between inventory levels and system scalability; by adapting the inventory and order-based production control system (IOBPCS), the dynamic of the linear model is analyzed using the transfer function. Moreover, a controller design is proposed to recover inventory discrepancies and ensure system stability. Finally, a simple example is provided to illustrate the impacts of the system's capacity scalability on the inventory level.