Ontology-enabled data inquiry for cost analysis and obsolescence mitigation

Xiaomeng Chang, Liyu Zheng, Janis P. Terpenny

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cost analysis is essential to enterprises developing plans to deal with product obsolescence. Indeed, cost analysis drives the optimization behind obsolescence mitigation planning and the maintenance of long field life sustainment-dominated systems. There are many different obsolescence mitigation solutions. Determining the optimum plan requires inputs from multiple departments within the enterprise such as maintenance, manufacturing, inventory, marketing, purchasing, etc. Moreover, proper analysis requires system records over a long period. As one might expect, these needs present challenges since proper data comes from different sources across multiple departments. In recent years, ontological models have been shown to be good at relation representation and knowledge management. Ontologies have been used to help with data integration and decision-making. This paper puts forward an ontology-based model and data inquiry method to help locate appropriate departments and related heterogeneous data for current and legacy data sources. The ontology-enabled data inquiry can then more accurately and efficiently improve cost analysis and the planning and management of obsolescence mitigation activities.

Original languageEnglish (US)
Title of host publication33rd Computers and Information in Engineering Conference
PublisherAmerican Society of Mechanical Engineers
ISBN (Print)9780791855867
DOIs
StatePublished - Jan 1 2013
EventASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013 - Portland, OR, United States
Duration: Aug 4 2013Aug 7 2013

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2 B

Other

OtherASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013
CountryUnited States
CityPortland, OR
Period8/4/138/7/13

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Cite this

Chang, X., Zheng, L., & Terpenny, J. P. (2013). Ontology-enabled data inquiry for cost analysis and obsolescence mitigation. In 33rd Computers and Information in Engineering Conference [V02BT02A006] (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2 B). American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2013-12251