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Related Experiment Video

Updated: Apr 14, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Smart Manufacturing.

Jim Davis1, Thomas Edgar, Robert Graybill

  • 1Institute for Digital Research and Education, Office of Information Technology, University of California, Los Angeles, California 90095;

Annual Review of Chemical and Biomolecular Engineering
|April 22, 2015
PubMed
Summary
This summary is machine-generated.

Traditional manufacturing is shifting towards agile, responsive enterprises driven by market demands, sustainability, and rapid technology adoption. This evolution enhances innovation, productivity, and competitiveness, paving the way for smart manufacturing.

Keywords:
advanced manufacturingadvanced sensingcontrol and platformsdigital manufacturingsmart manufacturing

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Area of Science:

  • Manufacturing Engineering
  • Industrial Engineering
  • Operations Management

Background:

  • Shift from vertically integrated, static manufacturing to dynamic, value-chain-wide responsiveness.
  • Increasing demands for environmental sustainability, energy efficiency, and safety (zero incidents).
  • Accelerated technology and product adoption cycles necessitate agile approaches.

Purpose of the Study:

  • To analyze the transition from traditional to modern manufacturing paradigms.
  • To highlight the role of agility and productivity as drivers of competitiveness.
  • To explore the impact of new information technologies on manufacturing.

Main Methods:

  • Conceptual analysis of industry trends and driving forces.
  • Examination of the relationship between agility, innovation, and market responsiveness.
  • Review of the influence of network-based information technologies.

Main Results:

  • Agile innovation and manufacturing, coupled with increased productivity, are key to competitiveness and reinvestment.
  • Focus on agility, productivity, energy, and sustainability offers benefits beyond market volatility reduction.
  • Agility positively influences innovation, time-to-market, and strategic exploration.

Conclusions:

  • The manufacturing landscape is evolving towards smart manufacturing, driven by market dynamics and technological advancements.
  • Agility, productivity, and sustainability are critical for future manufacturing success.
  • New information technology infrastructure is essential for enabling smart manufacturing.