Abstract: Disclosed is an exposed bonding pad of a chip package and a manufacturing method thereof. The manufacturing method comprises: before the package body is cut, forming a protruding bonding pad on the package body to replace a step of synchronously forming solder pins while forming a conductive layer group in the package body. Cutting grooves is each arranged at a position of a corresponding scribe line to be cut and is each symmetric about the corresponding scribe line. An L-shaped protruding bonding pad wrapping a right-angled edge of the package body is provided is formed inside a corresponding cutting groove instead of an original plate-shaped bonding pad, and process sequence for forming the bonding pad is changed, so that the processing is convenient, tin wicking growth can be obviously observed when soldering the package body, which is convenient for observation and avoids void soldering.

Abstract: Disclosed is a method of providing information related to an order by an electronic apparatus, the method including acquiring necessary order information including information on at least one order item, information on an order quantity of the at least one order item, and information on a lead time of the at least one order item, confirming a reference date based on the information on the lead time, confirming information on a remaining storage capacity of a fulfillment center on the reference date, confirming a target order item whose order quantity is to be adjusted from the necessary order information when order quantity corresponding to the necessary order information exceeds the remaining storage capacity of the fulfillment center on the reference date, and providing updated order information in which the order quantity of the target order item is adjusted.

Abstract: Disclosed are a method and electronic apparatus for providing information related to an order. The method includes acquiring quantity information of an order item in a fulfillment center and information on a period related to order quantity calculation for the order item, confirming a reference date for the order quantity calculation and a reference period starting from the reference date based on the information on the period, determining estimated consumption information of the order item by the reference date and estimated demand information of the order item for the reference period, and providing information on an order quantity of the order item calculated based on the quantity information, the estimated consumption information, and the estimated demand information.

Abstract: A computer-implemented systems and methods for intelligent generation of purchase orders is disclosed. The system may be configured to execute instructions for: receiving one or more demand forecast quantities of one or more products, the products corresponding to one or more product identifiers, and the demand forecast quantities comprising a demand forecast quantity for each product for each unit of time; receiving supplier statistics data for one or more suppliers, the suppliers being associated with a portion of the products; receiving current product inventory levels and currently ordered quantities of the products; determining preliminary order quantities for the products; constraining the preliminary order quantities to obtain recommended order quantities based at least on the supplier statistics data, the current product inventory levels, and the currently ordered quantities; and generating purchase orders to the suppliers for the products based on the recommended order quantities.

Abstract: Computer-implemented systems and methods for intelligent generation of purchase orders are disclosed. The systems and methods may be configured to: receive one or more demand forecast quantities of one or more products, the products corresponding to one or more product identifiers, and the demand forecast quantities comprising a demand forecast quantity for each product for each unit of time; receive supplier statistics data for one or more suppliers, the suppliers being associated with a portion of the products; receive current product inventory levels and currently ordered quantities of the products; determine order quantities for the products based at least on the demand forecast quantities, the supplier statistics data, and the current product inventory levels; prioritize the order quantities; distribute the prioritized order quantities to one or more locations; and generate purchase orders to the suppliers for the products based on the distributed order quantities.

Abstract: A computer-implemented systems and methods for intelligent generation of purchase orders is disclosed. The system may be configured to execute instructions for: receiving one or more demand forecast quantities of one or more products, the products corresponding to one or more product identifiers, and the demand forecast quantities comprising a demand forecast quantity for each product for each unit of time; receiving supplier statistics data for one or more suppliers, the suppliers being associated with a portion of the products; receiving current product inventory levels and currently ordered quantities of the products; determining preliminary order quantities for the products; constraining the preliminary order quantities to obtain recommended order quantities based at least on the supplier statistics data, the current product inventory levels, and the currently ordered quantities; and generating purchase orders to the suppliers for the products based on the recommended order quantities.

Abstract: A computer-implemented systems and methods for intelligent generation of purchase orders is disclosed. The system may be configured to execute instructions for: receiving one or more demand forecast quantities of one or more products, the products corresponding to one or more product identifiers, and the demand forecast quantities comprising a demand forecast quantity for each product for each unit of time; receiving supplier statistics data for one or more suppliers, the suppliers being associated with a portion of the products; receiving current product inventory levels and currently ordered quantities of the products; determining preliminary order quantities for the products; constraining the preliminary order quantities to obtain recommended order quantities based at least on the supplier statistics data, the current product inventory levels, and the currently ordered quantities; and generating purchase orders to the suppliers for the products based on the recommended order quantities.

Abstract: Gold ores are processed to obtain a mixture comprising gold particles and other particles, such as quartz particles. The mixture then passes through a location near a quantum resonance driver. The quantum resonance driver generates a macro quantum resonance effect that causes the gold particles to move away from the driver so that gold particles are separated from the mixture.