Literature DB >> 28649678

ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT.

Moneer Helu1, Don Libes1, Joshua Lubell1, Kevin Lyons1, K C Morris1.   

Abstract

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies.

Entities:  

Keywords:  Data-driven decision making; Smart manufacturing; Standardization; Systems integration

Year:  2016        PMID: 28649678      PMCID: PMC5482369          DOI: 10.1115/DETC2016-59721

Source DB:  PubMed          Journal:  Proc ASME Des Eng Tech Conf


  2 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

2.  IDENTIFYING PERFORMANCE ASSURANCE CHALLENGES FOR SMART MANUFACTURING.

Authors:  Moneer Helu; Katherine Morris; Kiwook Jung; Kevin Lyons; Swee Leong
Journal:  Manuf Lett       Date:  2015-10
  2 in total
  2 in total

1.  Foundations of information governance for smart manufacturing.

Authors:  K C Morris; Yan Lu; Simon Frechette
Journal:  Smart Sustain Manuf Syst       Date:  2020

2.  Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection.

Authors:  Melis Onel; Chris A Kieslich; Yannis A Guzman; Christodoulos A Floudas; Efstratios N Pistikopoulos
Journal:  Comput Chem Eng       Date:  2018-03-28       Impact factor: 3.845

  2 in total

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