Industry executives and experts share their predictions for 2020. Read them in this 12th annual VMblog.com series exclusive.
By Brent Dawkins,
Director, Product Marketing QAD
In 2020 a Quicker Response to Industry Disruption is Imperative
Historic
disruption is occurring across the
manufacturing industry. Customers have increasing expectations for personalized
products and services that meet unique needs and requirements. Global trade
rifts are impacting business uncertainty. Consumers are demanding transparency
across labeling, sourcing and supply chain sustainability. Advanced
technologies like artificial intelligence and robotic process automation
introduce complexity in terms of which technologies should be adopted and which
prove to be impractical. Response to these disruptions and pressures cannot
occur fast enough for manufacturers that want to maintain and gain competitive
advantages.
A Forbes 2018 article highlights that research from Scott D. Anthony "confirms
that indeed, for leaders to thrive in today's constantly disruptive way of life,
they must be transforming today's and tomorrow's businesses." So, how does an
organization adapt to change today
and effectively plan for the future? How well does your organization respond to
changing business, technology and customer demands? Do your organization and enterprise
solutions effectively support a rapid
response to change? In the year ahead, this
rapid response to change will be increasingly important to manufacturers of all
kinds. Following are just a few areas where improved responsiveness will play
an ever-increasing role in 2020:
Intelligent
Innovation
Established manufacturers and new
entrants realize that business success requires a strong commitment to real
innovation and staying ahead of the competition. Manufacturers must focus on how
quickly they can respond to market turbulence while also focusing on how
quickly new ideas are brought to market to create disruption. For example, how quickly
can a food manufacturer respond to a new category like organic foods or
introduce a new food category itself? How quickly can a medical device
manufacturer address a new Food and Drug Administration regulation? How
effectively can an automotive manufacturer respond to an updated MMOG/LE requirement? Or, how rapidly can an industrial
manufacturer launch a new service to better meet customer requirements? In any
of these instances, rapid response capability will be a key factor in 2020 as
manufacturers seek to introduce new business ideas with unprecedented speed and
performance analysis.
Continuous
Process Improvement
Most of us probably agree that a continuous
improvement approach to optimizing business processes requires the alignment of
people, processes and underlying technology. One area that has seen more interest
recently, and the interest is expected to continue in 2020, is a focus on
deploying more rapid and agile software systems that rely on modern approaches.
In the past, too many companies employed enterprise systems that were difficult
to modify and adapt to business disruption.
Applications architecture is modernizing rapidly and
manufacturers need to quickly connect the latest apps to the application
ecosystem for continuous process improvements. Deploying adaptive and modern
enterprise software systems enables companies to effectively run, maintain and
quickly modify business processes. Next-generation software
solutions also provide the foundation for manufacturers to easily add
personalization and extend applications to address specific business
requirements. In 2020, manufacturers should assess their goals and options for
enterprise systems to confirm they fully support rapid and effective process
improvements.
Boost Predictive Analytics
Yogi Berra is often attributed with
saying, "I never make predictions, especially about the future." While
predicting the future is inherently difficult, it is one area of digital
disruption that manufacturers are adopting to better respond to continually
changing customer demands, supply availability, production operations and other
areas. What if your organization's predictive decisions could improve by
utilizing artificial
intelligence and machine learning? This is
occurring today as data
scientists and other users now have the ability to build predictive models using
statistical and machine learning algorithms. How could your organization
benefit from improved predictions on demand forecasting, supply chain
performance, asset utilization, production capacity and other areas? 2020 will
be the year to determine if advanced analytics or other digital technologies
can improve responsiveness to disruption and enhance operational performance.
Disruption and transformation are a constant for manufacturers
and will continue to be in 2020. These pressures will intensify with
uncertainties that include geopolitical factors, global economic instability,
industry regulations, advanced technologies and other unforeseen circumstances.
How rapidly can your organization and enterprise solutions respond to changing
business conditions and requirements? Now is the time to thoroughly evaluate your organization's ability
to adapt to business changes for improving manufacturing performance, exceeding
customer expectations and gaining competitive advantages in the New Year.
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About the Author
Brent is QAD’s Director of Product Marketing with over 20 years of manufacturing and supply chain experience. In his spare time, you can find him hiking the Rocky Mountains of Colorado, coaching youth hockey or enjoying time with family.