Next-generation Optimization for Manufacturers with Artificial Intelligence - PowerPoint PPT Presentation

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Next-generation Optimization for Manufacturers with Artificial Intelligence

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The manufacturing industry has consistently been open to adopting new technologies. Remarkably, drones and industrial robots have been a part of the manufacturing industry since the 1960s, and advancements in technology have been at the forefront of each industrial revolution. With the adoption of AI, companies can keep inventories lean and reduce overall cost. The good news for manufacturing is that as a result of the adoption of AI, there is high probability the manufacturing industry will experience exponential growth. In order to do so, companies in the manufacturing industry will need to gear up networked factories where supply chain, design team, production line, and quality control are vastly integrated into an intelligent engine that provides actionable insights. – PowerPoint PPT presentation

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Title: Next-generation Optimization for Manufacturers with Artificial Intelligence


1
Next-generation Optimization for Manufacturers
with Artificial Intelligence
Last updated on June 7, 2021 Dash Technologies
Inc Artificial Intelligence, Manufacturing
lheíes no doubt that the manufactuíing sectoí is
leading the way in the application of aítificial
intelligence technology. Fíom making the most of
available time to impíoving the design of
píoducts, manufactuíeís aíe applying AI-poweíed
analytics to data to impíove píoductivity,
píoduct quality, and the safety of employees.
2
How will AI Have an Impact on Manufacturing?
  • lhe manufactuíing industíy has consistently been
    open to adopting new technologies. Remaíkably,
    díones and industíial íobots have been a paít of
    the manufactuíing industíy since the 1960s, and
    advancements in technology have been at the
    foíefíont of each industíial íevolution.
  • With the adoption of AI, companies can keep
    inventoíies lean and íeduce oveíall cost. lhe
    good news foí manufactuíing is that as a íesult
    of the adoption of AI, theíe is high píobability
    the manufactuíing industíy will expeíience
    exponential gíowth. In oídeí to do so, companies
    in the manufactuíing industíy will need to geaí
    up netwoíked factoíies wheíe supply chain,
    design team, píoduction line, and quality contíol
    aíe vastly integíated into an intelligent engine
    that píovides actionable insights.
  • Whats Driving the Urgency to Adopt
  • AI?
  • lheíe aíe a numbeí of díiving factoís that add to
    the uígency of adopting aítificial intelligence.
    A few of the main íeasons that the manufactuíing
    industíy is shifting its attention to AI
  • Automating the process of finding cost savings
  • Shortening production times
  • Increased need for customized goods
  • Managing high revenue instability
  • Adapting to evolving compliance standards
  • Since the beginning of the Fouíth Industíial
    Revolution (oí Industíy 4.0), automation of
    tíaditional manufactuíing píocesses using
    machine-to-machine (M2M) and the inteínet of
    things (Iol) has incíeasingly become the noím.
    With manufactuíing consistently evolving, the
    uígency to adapt has been fuelled like neveí
    befoíe.

3
How Can AI Help Manufacturing?
4
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5
What does the Future Look Like for Manufacturing?
  • lhe futuíe of manufactuíing looks píomising. With
    the abundance of solutions making the
    development píocess easieí on manufactuíeís,
    theíe aíe many AI- integíated advancements that
    will píovide solutions foí the issues
    manufactuíeís face today. lhe capabilities of AI
    integíations include
  • The ability for machines to detect defects
    throughout the production process.
  • The ability to deploy predictive maintenance to
    reduce downtime.
  • Respond to real-time changes in demand across the
    supply chain.
  • Validate whether intricate goods, like
    microchips, have been produced without error.
  • Reduce costs of small-batch or single-run goods,
    enabling greater customization.
  • Improve employee satisfaction by shifting routine
    tasks to machines.
  • Foí yeaís, íobotics, advanced analytics, and
    automation have been a majoí paít of the
    manufactuíing industíy. lhe gíowing scale of
    adoption of AI in manufactuíing seems moíe like
    an evolution, íatheí than an industíy
    inteííuption. New and emeíging technologies aíe
    alíeady heíe and moíe massive implementation is a
    matteí of time.
  • lo get the most out of an aítificial intelligence
    solution, manufactuíeís need to know which AI
    solution is best suited foí theií own unique sets
    of challenges.
  • At Dash lechnologies, we make suíe ouí clients
    get the aítificial intelligence solutions they
    need. lo see how Dash can help you with youí AI
    development integíation, check out the seívices
    we can offeí youí business https//dashtechinc.co
    m/aítificial- intelligence-seívices/
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