A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost-Reference-Cited by-同舟云学术

A non-conformance rate prediction method supported by machine learning and ontology in reducing underproduction cost and overproduction cost

Published:2021-06-10 Issue:16 Volume:59 Page:5011-5031
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Ji Bongjun¹^ORCID,Ameri Farhad²^ORCID,Cho Hyunbo¹

Affiliation:

1. Department of Industrial & Management Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea

2. Department of Engineering Technology, Texas State University, San Marcos, TX, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1933237

Reference47 articles.

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3. Ameri, F., C. Urbanovsky, and C. McArthur. 2012. “A Systematic Approach to Developing Ontologies for Manufacturing Service Modelling.” Proceedings of the Workshop on Ontology and Semantic Web for Manufacturing. Graz, Austria, July 24.

4. Antani, K. R. 2014. “A Study of the Effects of Manufacturing Complexity on Product Quality in Mixed-Model Automotive Assembly.” PhD diss., Clemson University.

5. Building Ontologies with Basic Formal Ontology

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