Amazon Technologies, Inc.

Sameer Vinod Shah

Jun Zhao

Eric C Young

Devesh Mishra

Timothy Jesse Tien

Zongyi Liu

Arun Ponniah Sethuramalingam

Robert Dreaper McDonald, Jr

Srinivas Palla

Kevin R MacKenzie

Michael A Shaver

Various embodiments of a system and method for labor allocation across distinct processes of a materials handling facility are described. Embodiments may include a computer system configured to generate a model of a materials handling facility. The model may indicate, for each of multiple distinct quantities of work processed via a respective materials handling process, a quantity of labor resources processing that quantity of work in accordance with the respective materials handling process. The computer system may evaluate the model to determine that one or more additional labor resources are needed to process a particular quantity of work in accordance with a particular materials handling process. The computer system may select a labor resource processing a different quantity of work in accordance with a different materials handling process and generate an instruction that directs that labor resource to process the particular quantity of work via the particular materials handling process.

System and method for resource allocation across distinct processes of a materials handling facility

Disclosed are various systems, methods, and other embodiments for processing and recording defects. In one embodiment, an application is executed in a server that processes and records defects detected by a user at a receiving station client. Based on a retrieved vendor profile, the application selects an inspection sequence for a user to execute. The inspection sequence is selected based on a history of defects specified in the vendor profile. The application also determines whether supervision is needed based on the performance of the user.

Systems and methods for recording defects

Disclosed are various embodiments of systems and methods for receiving shipment parcels at, for example, materials handling facilities. In some embodiments, a parcel monitoring system detects an exception for a shipment parcel. The parcel monitoring system identifies a vendor associated with the shipment parcel. In response to the exception being detected, the parcel monitoring system controls a conveyor system in accordance with an action specified by an exception handling rule for the vendor.

Systems and methods for receiving shipment parcels

Disclosed are various embodiments of systems and methods for receiving shipment parcels at materials handling facilities. A parcel receiving system has an imaging tunnel through which shipment parcels received at a materials handling facility are passed. While a shipment parcel is passing through the imaging tunnel, a camera captures at least one image of the parcel. The parcel image is electronically analyzed to discover various tracking information and to detect various types of exceptions, such as damage to the parcel or defective tracking information. In addition, the captured image is stored in order to create a visual record of the parcel at the time of reception. This record may be used in a variety of ways, such as resolving or tracking exceptions or providing feedback to the vendor or shipment carrier. In addition, the parcel image may be viewed by a user to enable the user to detect and/or resolve an exception. Thus, the overall process of receiving parcels is facilitated, and the percentage of parcels diverted to an exception bin may be decreased.

Disclosed are various embodiments of a self healing andon system. One embodiment of the present disclosure includes a system comprising at least one server. The system further includes logic executed on the at least one server that retrieves a defect history associated with a vendor and at least one product from an inbound shipment from a memory. The at least one product is stocked in a materials handling facility, and the defect history is associated with a specified time period. The at least one server extracts at least one inventory defect from the defect history in a computer system and calculates an inventory defect rate. The at least one server imposes remedial measures if the inventory defect rate exceeds a specified threshold of the inventory defect rate.

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Seattle, WA, United States of America

Sameer Vinod Shah