Abstract: A flexible display, including a stand, a supporting mechanism, a flexible screen, a driving component, a driven component, and a link, is provided. The supporting mechanism is connected to the stand. The flexible screen is attached to the supporting mechanism. The driving component is disposed on the stand. The driven component is disposed on a side of the supporting mechanism distant from the stand. The link has a first end and a second end opposite to the first end. The first end is connected to the driving component, and the second end is connected to the driven component. The driving component drives the driven component through the link to move on a first horizontal plane to drive the supporting mechanism and the flexible screen to transform when the driving component moves between the first horizontal plane and a second horizontal plane that is parallel to the first horizontal plane.

Abstract: A method includes forming a first fin and a second fin protruding from a frontside of a substrate, forming a gate stack over the first and second fins, forming a dielectric feature dividing the gate stack into a first segment engaging the first fin and a second segment engaging the second fin, and growing a first epitaxial feature on the first fin and a second epitaxial feature on the second fin. The dielectric feature is disposed between the first and second epitaxial features. The method also includes performing an etching process on a backside of the substrate to form a backside trench, and forming a backside via in the backside trench. The backside trench exposes the dielectric feature and the first and second epitaxial features. The backside via straddles the dielectric feature and is in electrical connection with the first and second epitaxial features.

Abstract: Systems of demand and capacity management with machine-time accuracy are provided. The system includes an allocation planning module, an order management module, a capacity model, and a capacity management module. The allocation planning module receives a demand plan for a product. The capacity management module transforms the demand plan into a machine-time-based plan according to the capacity model, and reserves capacity according to the machine-time-based plan for the demand plan. The capacity management module further transforms a purchase order received by the order management module before a cutoff date for the product into a machine-time-based order, accepts the machine-time-based order and decreases the reservation capacity depending on the machine-time-based plan.

Abstract: Systems of demand and capacity management with machine-time accuracy are provided. The system includes an allocation planning module, an order management module, a capacity model, and a capacity management module. The allocation planning module receives a demand plan for a product. The capacity management module transforms the demand plan into a machine-time-based plan according to the capacity model, and reserves capacity according to the machine-time-based plan for the demand plan. The capacity management module further transforms a purchase order received by the order management module before a cutoff date for the product into a machine-time-based order, accepts the machine-time-based order and decreases the reservation capacity depending on the machine-time-based plan.

Abstract: A new business model of supply chain management for IC foundry and a system and method of demand and capacity management with machine-time accuracy are provided. The system includes an allocation planning module, an order management module, a capacity model, and a capacity management module. The allocation planning module receives a demand plan for a product. The capacity management module transforms the demand plan into a machine-time-based plan according to the capacity model, and reserves capacity according to the machine-time-based plan for the demand plan. The capacity management module further transforms a purchase order received by the order management module before a cutoff date for the product into a machine-time-based order, accepts the machine-time-based order and decreases the reservation capacity depending on the machine-time-based plan.

Abstract: A method of capacity reservation. The inventive method first obtains historical customer delivery data, classifies the customers into different category levels according to the delivery data, and reserves capacity for the customer categories accordingly.

Abstract: A new business model of supply chain management for IC foundry and a system and method of demand and capacity management with machine-time accuracy are provided. The system includes an allocation planning module, an order management module, a capacity model, and a capacity management module. The allocation planning module receives a demand plan for a product. The capacity management module transforms the demand plan into a machine-time-based plan according to the capacity model, and reserves capacity according to the machine-time-based plan for the demand plan. The capacity management module further transforms a purchase order received by the order management module before a cutoff date for the product into a machine-time-based order, accepts the machine-time-based order and decreases the reservation capacity depending on the machine-time-based plan.