The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 22, 2020
Filed:
May. 13, 2016
International Business Machines Corporation, Armonk, NY (US);
Ajay A. Deshpande, White Plains, NY (US);
Saurabh Gupta, Irving, TX (US);
Arun Hampapur, Norwalk, CT (US);
Alan J. King, South Salem, NY (US);
Ali Koc, White Plains, NY (US);
Yingjie Li, Chappaqua, NY (US);
Xuan Liu, Yorktown Heights, NY (US);
Christopher S. Milite, Oxford, CT (US);
Brian L. Quanz, Yorktown Heights, NY (US);
Chek Keong Tan, Danbury, CT (US);
Dahai Xing, White Plains, NY (US);
Xiaobo Zheng, Shanghai, CN;
International Business Machines Corporation, Armonk, NY (US);
Abstract
A method and system for evaluating node fulfillment capacity in node order assignment. The method includes receiving by a network average capacity utilization cost module an electronic record of a current order. The method includes retrieving data of a plurality of nodes, calculating an actual capacity utilization on an expected date, and determining a probability of backlog on the expected date. The method includes generating a network average capacity utilization cost model, automatically converting a regular labor cost or a overtime labor cost into a capacity utilization cost, and transmitting the capacity utilization cost of each node to an order fulfillment engine. The method includes receiving by the engine the current order, the processing cost data, and the capacity utilization cost. The method includes automatically calculating a fulfillment cost and identifying a node with the lowest fulfillment cost for assignment.