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.

Date of Patent:
Aug. 18, 2020

Filed:

Apr. 22, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yixin Diao, White Plains, NY (US);

Ea-Ee Jan, Ardsley, NY (US);

Soumitra Sarkar, Cary, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G07F 19/00 (2006.01); G06Q 20/10 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/06315 (2013.01); G06Q 20/1085 (2013.01); G07F 19/209 (2013.01);
Abstract

Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met. A target scaling parameter that minimizes the overall automatic teller machine network management cost out of all iterations is determined, and target cash refill amount and time specification for refilling the automatic teller machine are determined based on executing the deterministic optimization process with the target scaling parameter.


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