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Production engineering

About: Production engineering is a research topic. Over the lifetime, 2657 publications have been published within this topic receiving 37409 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the concept of reverse engineering and the need for reverse engineering systems in manufacturing are defined and described. Newer technologies that can potentially be used in such systems are also described.
Abstract: This paper defines the concept of reverse engineering and describes the need for reverse engineering systems in manufacturing. Different technologies currently being used are detailed. Newer technologies that can potentially be used in such systems are also described. Finally, possible interfaces with other manufacturing based software are discussed.

36 citations

Journal ArticleDOI
TL;DR: The authors have developed a generic framework for building practical scheduling systems that fosters the reuse of algorithms and the integration of knowledge-based technology into the organizational environment and supports dynamic adaptation.
Abstract: Production management is crucial for achieving the timely and cost-effective execution of industrial production processes. In recent years, interest has increased in the use of artificial intelligence technologies for production planning and scheduling. However, scheduling research typically has been theoretical, has had a narrow focus, and has not covered adaptation to unforeseen events. The authors' objective has been to use computer-based scheduling systems to enhance the problem-solving capabilities of human domain experts. They have developed a generic framework for building practical scheduling systems. This framework fosters the reuse of algorithms and the integration of knowledge-based technology into the organizational environment. It also supports dynamic adaptation. The authors have used it to implement scheduling systems for dye production, pipeline-fittings production and heart surgery.

35 citations

Journal ArticleDOI
01 Jan 2013
TL;DR: In this article, the authors consider the obstacles and discuss the importance of integrating the latest techniques of computational science and engineering into digital manufacturing, and they discuss how to integrate these techniques into the manufacturing process.
Abstract: The authors consider the obstacles and discuss the importance of integrating the latest techniques of computational science and engineering into digital manufacturing.

35 citations


Network Information
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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20234
202210
202126
202025
201923
201857