Quantifying, tracking, and anticipating risk at a manufacturing facility based on staffing conditions and textual descriptions of deviations

Patent metadata

Field	Value
Publication number	US-11150629-B2
Application number	US-202016736484-A
Country	US
Kind code	B2
Filing date	Jan 7, 2020
Priority date	Aug 20, 2015
Publication date	Oct 19, 2021
Grant date	Oct 19, 2021

Abstract

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

First claim

What is claimed is:

1. A method comprising:
performing an analysis of historical staffing conditions of a manufacturing facility and one or more deviations from existing manufacturing procedures described in one or more deviation reports, the performing of the analysis including analyzing textual descriptions of the one or more deviations from existing manufacturing procedures included in the one or more deviation reports, the historical staffing conditions including historical information related to employees of the manufacturing facility;
receiving, from a client device, a production target associated with the manufacturing facility, the production target comprising an anticipated output of the manufacturing facility;
calculating, based on the analysis, a risk score based on the production target, the risk score providing a measure of risk associated with the anticipated output of the manufacturing facility, the calculating of the risk score being performed by one or more processors of a machine; and
causing presentation of a user interface on the client device, the user interface including a display of the risk score.

2. The method of claim 1 , wherein:
the risk score is a first risk score;
the operations further comprise calculating, based on the analysis, a second risk score based on current operational data, the current operational data including current staffing conditions of the manufacturing facility, the current risk score providing a measure of risk associated with the current operational data; and
the user interface further includes a display of the second risk score.

3. The method of claim 1 , wherein the user interface further includes a graph of historical risk scores of the manufacturing facility.

4. The method of claim 1 , wherein the user interface further includes a breakdown of the one of more deviations from existing manufacturing procedures by at least one of type, subtype, root cause, location, product, or criticality.

5. The method of claim 1 , further comprising:
obtaining deviation data associated with the manufacturing facility, the deviation data including the one or more deviation reports, each of the one or more deviation reports including a textual description of a deviation from existing manufacturing procedures; and
obtaining the historical operational data associated with the manufacturing facility.

6. The method of claim 1 , wherein the historical staffing conditions include at least one of a total number of employees of the manufacturing facility, a total number of temporary employees of the manufacturing facility, a total cost corresponding to the employees of the manufacturing facility, an amount of goods created by the employees of the manufacturing facility, a total number of hours worked by the employees of the manufacturing facility, or a total number of overtime hours worked by the employees of the manufacturing facility.

7. The method of claim 1 , further comprising determining a deviation type of each of the one or more deviations from existing manufacturing procedures based on an analysis of the textual description included in each of the one or more deviation reports;
the user interface further including a breakdown of the one or more deviations by deviation type.

8. The method of claim 1 , wherein the calculating of the risk score comprises:
determining a risk metric value for each risk metric of the plurality of risk metrics based on the operational data;
applying a weight to each of the risk metric values to generate weighted risk metric values; and
calculating an average of the weighted risk metric values, wherein the risk score includes the average of the weighted risk metric values.

9. The method of claim 8 , wherein the plurality of risk metrics includes a headcount change, a productivity measure, overtime hours as a percentage of all worked hours, and a percentage of employees who are temporary employees.

10. The method of claim 1 , further comprising:
receiving, from the client device, anticipated future staffing conditions of the manufacturing facility, wherein the calculating of the risk score is further based on the anticipated future staffing conditions.

11. The method of claim 1 , further comprising identifying a repeat deviation based on analysis of the one or more deviations reports, the repeat deviation corresponding to multiple occurrences of an identical deviation occurring within a predefined time range.

12. The method of claim 1 , further comprising determining a risk level of the manufacturing facility based on the risk score, wherein the user interface includes a display of the risk level.

13. A system comprising:
one or more processors; and
a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
performing an analysis of historical staffing conditions of a manufacturing facility and one or more deviations from existing manufacturing procedures described in one or more deviation reports, the performing of the analysis including analyzing textual descriptions of the one or more deviations from existing manufacturing procedures included in the one or more deviation reports, the historical staffing conditions including historical information related to employees of the manufacturing facility;
receiving, from a client device, a production target associated with the manufacturing facility, the production target comprising an anticipated output of the manufacturing facility;
calculating, based on the analysis, a risk score based on the production target, the risk score providing a measure of risk associated with the anticipated output of the manufacturing facility, the calculating of the risk score being performed by one or more processors of a machine; and
causing presentation of a user interface on the client device, the user interface including a display of the risk score.

14. The system of claim 13 , wherein:
the risk score is a first risk score;
the operations further comprise calculating, based on the analysis, a second risk score based on current operational data, the current operational data including current staffing conditions of the manufacturing facility, the current risk score providing a measure of risk associated with the current operational data; and
the user interface further includes a display of the second risk score.

15. The system of claim 13 , wherein the user interface further includes a graph of historical risk scores of the manufacturing facility.

16. The system of claim 13 , wherein the operations further comprise:
obtaining deviation data associated with the manufacturing facility, the deviation data including the one or more deviation reports, each of the one or more deviation reports including a textual description of a deviation from existing manufacturing procedures; and
obtaining the historical operational data associated with the manufacturing facility.

17. The system of claim 13 , wherein the operations further comprise:
determining a deviation type of each of the one or more deviations from existing manufacturing procedures based on an analysis of the textual description included in each of the one or more deviation reports;
wherein the user interface further including a breakdown of the one or more deviations by deviation type.

18. The system of claim 13 , wherein the calculating of the risk score comprises:
determining a risk metric value for each risk metric of the plurality of risk metrics based on the operational data;
applyin

Assignees

• Palantir Technologies Inc

Inventors

• Beard Mitchell
• Shen Kai
• Hu Roger
• Shah Sachi
• Danka Miklos
• Pliuskys Laurynas
• Pearson Thomas

Classifications

• G05B19/41885 Primary

  characterised by modeling, simulation of the manufacturing system · CPC title

• G06Q10/0635

  Risk analysis of enterprise or organisation activities · CPC title

• G05B19/4063 Primary

  Monitoring general control system (G05B19/4062 takes precedence) · CPC title

• G05B2219/31461

  Use risk analysis to identify process parts that should be specially monitored · CPC title

• Y02P90/02

  Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title