IP Library Granted Patent US 12,360,950
Granted Patent B2
US 12,360,950 · App. 17/930,952 · Granted Jul 15, 2025

Systems and methods for generating annual product quality reviews

Inventors: Ankit Singh (Apex, NC); Timothy Sneed (Charlotte, NC); Arun Ramasubrahmanyan (Burlington, NJ); Judith Fainor (Doylestown, PA); Tanmay Sonawadekar (South Grafton, MA); Daniel Burns (Allentown, NJ)
Assignee: HONEYWELL INTERNATIONAL INC.
G06F16/168G06F16/24528G06F16/2455G06F16/24564G06F16/25G06F16/258G06Q30/0282G06F16/156G06F18/15
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Quick Facts
Patent No.
US 12,360,950
App. No.
17/930,952
Granted
Jul 15, 2025
Kind
B2
Abstract

A method of generating an annual product quality review report includes defining at least one author for generating the report; selecting a chapter for inclusion in the report, wherein the chapter is associated with one or more predefined data requirements which predefined data requirements may be presented to the author for inclusion in the report; defining at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements. The at least one system of record provides raw data to the predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

Claims (25)

1. A method of generating an annual product quality review (APQR) report comprising:

defining at least one author for generating the APQR report;

selecting a chapter for inclusion in the APQR report, wherein the chapter is associated with one or more predefined data requirements;

presenting the one or more predefined data requirements to the at least one author for inclusion in the APQR report; and

defining at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements,

wherein the at least one system of record provides raw data to the one or more predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

2. The method of claim 1 , wherein the at least one system of record is selected from a plurality of external systems of record including one or more of a manufacturing execution system, an enterprise resource planning system, an electronic batch record system, a laboratory information management system, and a quality management system.

3. The method of claim 1 , wherein the at least one system of record is selectable based on the selected chapter such that each of multiple chapters in the annual product quality review report do not require inclusion of data from same systems of record.

4. The method of claim 1 , wherein the annual product quality review report includes at least one chart and the at least one chart is generated based on the data from the at least one system of record.

5. The method of claim 1 , wherein the at least one author is determined by a business administrator, which business administrator approves the at least one author based on user credentials of the at least one author.

6. The method of claim 5 , wherein the annual product quality review report is editable by at least one editor and the at least one editor is determined by the business administrator, which business administrator approves the at least one editor based on user credentials of the at least one editor.

7. The method of claim 1 , wherein the annual product quality review report is text-based and at least some portion of the text is automatically generated based on the data from the at least one system of record.

8. The method of claim 7 , wherein at least some portion of the text is automatically generated using a natural language generation application.

9. The method of claim 1 , wherein selecting the chapter automatically causes one or more default systems of record to be selected for providing the raw data to the APQR report.

10. The method of claim 9 , wherein the one or more default systems of record associated with a particular chapter are based on the plurality of systems of record used to populate data to the particular chapter in an immediately previous APQR report.

11. A system for generating an annual product quality review (APQR) report comprising:

a processor communicatively coupled to a plurality of external systems of record;

a memory including one or more instructions that when executed by the processor cause the system to:

define at least one author for generating the APQR report;

select a chapter for inclusion in the APQR report, wherein the chapter is associated with one or more predefined data requirements;

present the one or more predefined data requirements to the at least one author for inclusion in the APQR report; and

define at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements,

wherein the at least one system of record provides raw data to the one or more predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

12. The system of claim 11 , wherein the at least one system of record is selected from the plurality of external systems of record comprising one or more of a manufacturing execution system, an enterprise resource planning system, an electronic batch record system, a laboratory information management system, and a quality management system.

13. The system of claim 11 , wherein the at least one system of record is selectable based on the selected chapter such that each of multiple chapters in the APQR report do not require inclusion of data from same systems of record.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 22, 2022
From: SINGH, ANKIT; SNEED, TIMOTHY; RAMASUBRAHMANYAN, ARUN; FAINOR, JUDITH; SONAWADEKAR, TANMAY; BURNS, DANIEL
To: HONEYWELL INTERNATIONAL INC.
Reel/Frame 061181/0962 →
Continuity (1)
Related Publication 20240086979A1 · Mar 14, 2024
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