Literature DB >> 28265224

Towards a Lifecycle Information Framework and Technology in Manufacturing.

Thomas Hedberg1, Allison Barnard Feeney1, Moneer Helu1, Jaime A Camelio2.   

Abstract

Industry has been chasing the dream of integrating and linking data across the product lifecycle and enterprises for decades. However, industry has been challenged by the fact that the context in which data is used varies based on the function / role in the product lifecycle that is interacting with the data. Holistically, the data across the product lifecycle must be considered an unstructured data-set because multiple data repositories and domain-specific schema exist in each phase of the lifecycle. This paper explores a concept called the Lifecycle Information Framework and Technology (LIFT). LIFT is a conceptual framework for lifecycle information management and the integration of emerging and existing technologies, which together form the basis of a research agenda for dynamic information modeling in support of digital-data curation and reuse in manufacturing. This paper provides a discussion of the existing technologies and activities that the LIFT concept leverages. Also, the paper describes the motivation for applying such work to the domain of manufacturing. Then, the LIFT concept is discussed in detail, while underlying technologies are further examined and a use case is detailed. Lastly, potential impacts are explored.

Entities:  

Year:  2017        PMID: 28265224      PMCID: PMC5335795          DOI: 10.1115/1.4034132

Source DB:  PubMed          Journal:  J Comput Inf Sci Eng        ISSN: 1530-9827            Impact factor:   1.855


  1 in total

1.  Testing the Digital Thread in Support of Model-Based Manufacturing and Inspection.

Authors:  Thomas Hedberg; Joshua Lubell; Lyle Fischer; Larry Maggiano; Allison Barnard Feeney
Journal:  J Comput Inf Sci Eng       Date:  2016-03-08       Impact factor: 1.855

  1 in total
  5 in total

1.  Using graphs to link data across the product lifecycle for enabling smart manufacturing digital threads.

Authors:  Thomas D Hedberg; Bajaj Manas; Jaime A Camelio
Journal:  J Comput Inf Sci Eng       Date:  2020       Impact factor: 1.855

2.  Contextualising manufacturing data for lifecycle decision-making.

Authors:  William Z Bernstein; Thomas D Hedberg; Moneer Helu; Allison Barnard Feeney
Journal:  Int J Prod Lifecycle Manag       Date:  2018

3.  Method for enabling a root of trust in support of product-data certification and traceability.

Authors:  Thomas D Hedberg; Sylvere Krima; Jaime A Camelio
Journal:  J Comput Inf Sci Eng       Date:  2019       Impact factor: 1.855

4.  Towards Knowledge Management for Smart Manufacturing.

Authors:  Shaw C Feng; William Z Bernstein; Thomas Hedberg; Allison Barnard Feeney
Journal:  J Comput Inf Sci Eng       Date:  2017-07-24       Impact factor: 1.855

Review 5.  Introduction to Photonics: Principles and the Most Recent Applications of Microstructures.

Authors:  Iraj Sadegh Amiri; Saaidal Razalli Bin Azzuhri; Muhammad Arif Jalil; Haryana Mohd Hairi; Jalil Ali; Montree Bunruangses; Preecha Yupapin
Journal:  Micromachines (Basel)       Date:  2018-09-11       Impact factor: 2.891

  5 in total

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