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Two tier automatic cost estimation for automatic manufacture of spare parts

A manufacturing cost, automatic manufacturing technology, applied in the field of double-layer automatic cost estimation for automatic manufacturing of spare parts, can solve the problems of time-consuming, inefficient and expensive

Pending Publication Date: 2020-02-14
THE BOEING CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This process is often time consuming, expensive and inefficient

Method used

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  • Two tier automatic cost estimation for automatic manufacture of spare parts
  • Two tier automatic cost estimation for automatic manufacture of spare parts
  • Two tier automatic cost estimation for automatic manufacture of spare parts

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Experimental program
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Embodiment approach

[0074] Clause 1. A method for the automatic manufacture of mechanical parts, the method comprising the steps of:

[0075] using one or more computer processors to generate a first estimate of a manufacturing cost of a first machine part using a first machine learning model;

[0076] determining that the first estimate of manufacturing cost of the first machine part falls within the validity range of the first machine learning model, and in response, using the one or more computer processors to generate the first machine learning model using the second machine learning model. A second estimate of the manufacturing cost of the part;

[0077] determining an expected cost error in the second estimate of the manufacturing cost of the first machine part; and

[0078] Automatic manufacture of the first mechanical part is caused upon determining that the expected cost error falls within a predetermined acceptable range.

[0079] Clause 2. The method of Clause 1, wherein the step of ...

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Abstract

The invention discloses two tier automatic cost estimation for automatic manufacture of spare parts. Techniques for automatically manufacturing mechanical parts are described. A first estimate of manufacturing cost for a first mechanical part is generated using a first machine learning model. In response to determining that the first estimate of manufacturing cost for the first mechanical part falls within a range of effectiveness for the first machine learning model, a second estimate of manufacturing cost for the first mechanical part is generated using a second machine learning model. An expected cost error in the second estimate of manufacturing cost for the first mechanical part is determined, and upon determining that the expected cost error falls within a pre-determined acceptable range, automatic manufacturing of the first mechanical part is facilitated.

Description

technical field [0001] Aspects of the present disclosure provide techniques for automated cost estimation and spare part manufacturing. Background technique [0002] Getting new parts from suppliers can be a lengthy process. Engineers may need to fully document the part's structure, materials, and manufacturing process (machining, assembly, inspection, etc.) and estimate possible costs. This estimate may be based on the engineer's experience and a rough analysis of the historical cost of similar parts, among other factors. The person responsible for procuring the part may then distribute a Request for Proposal (RFP) to potential suppliers, and a supplier may be selected based on responses to the RFP. Buyers can then negotiate timelines and determine desired quantities and delivery costs, that is, the price the part will cost when purchased from the supplier. This process is often time-consuming, expensive and inefficient. Contents of the invention [0003] Embodiments ...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06Q10/04G06Q30/02G06Q50/04
CPCG06Q10/06G06Q10/0875G06Q30/0283G06N20/00G06Q10/04G06Q30/0206G06Q50/04G06Q30/0611G06N5/04G06N5/048G06Q10/06315
Inventor 林佩瑜J·F·赖斯A·A·扎金
Owner THE BOEING CO
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