Coupang, Corporation

Shanghai Jiaotong University

Jianmin Duan

Zhijun Xu

Xiaohua Cui

Rubin Zhao

Yong Liang Liu

Tao Yi

Dingyao Xiao

Chengmin Wang

Weiqing Sun

Hongzhong Li

The package configuration optimization system includes at least one non-transitory storage medium comprising instructions and at least one processor executing the instructions for performing operations. The operations may include receiving historical order data associated with a fulfillment center, the order data including at least one of items ordered, package information, shipping costs, or fill rate, generating a forecast for order data based on the historical order data and performance data associated with the fulfillment center, the forecast comprising a plurality of dummy orders, receiving preferences for packaging cost reduction, determining a current packaging configuration associated with the fulfillment center, optimizing the current packaging configuration to generate at least one new packaging configuration using the received preferences and the generated forecast, and sending the at least one new packaging configuration to a remote system.

Systems and methods for simulation of package configurations for generating cost optimized configurations

The automatic packaging acquisition system includes at least one processor executing the instructions for performing operations. The operations may include receiving forecast data indicating a first expected number of packages over a first period of time required to ship an expected number of orders handled by a first fulfillment center, determining the historical scan events from a plurality of mobile devices associated with the first fulfillment center over a second period of time, determining a second number of packages based on the determined historical scan events, calculating a target quantity of packages based on the first expected number of packages and a value indicating cover days, instantiating a first electronic order for packages, based on the calculated target quantity, a current quantity of packages, an ordered number of packages, and the second number of packages; and send the first order to a remote computer system.

Systems and methods for responsive and automated predictive packaging acquisition

A method for optimizing the flexible constraints of an electric power system includes a step Sof expressing the total power generation cost of the electric power system by using the sum of quadratic functions of active power outputs of all generator sets in the system and constructing an objective function, a step Sof selecting a multi-dimensional flexible optimization model or a flexible power generation cost optimization model according to the practical situation of the electric power system and the practical purpose of optimization, a step Sof determining the operating conditions of the electric power system, and a step Sof carrying out load flow calculation.

Method for optimizing the flexible constraints of an electric power system

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Shanghai, China

Jianmin Duan