dp_2025_02_01 - 42
SUPPLY CHAIN
technology also helps prevent loss while ensuring we keep the
integrity of our products. "
Lily has been able to ensure that the best routing and
timing is used to satisfy fleet utilization and customer needs
by using dynamic route adjustments based on live data,
enhancing delivery reliability.
" This results in lower operational costs and less product
waste, " Baldi said. " The integration of such technologies, such
as GPS tracking and route optimization software, has made
dairy feed logistics more efficient and sustainable. "
Lily utilizes an automated workflow system to reduce
the need for drivers to always have to return to their home
location to be assigned work. This has been able to impact
efficiency and route miles reduction in specific circumstances.
" We have adopted several innovative practices for route
efficiency and cost reduction, including the use of cloud-based
route optimization solutions, which consider various feed
delivery planning strategies, " Baldi said. " Additionally, the
implementation of precision agriculture technology aids in better
demand forecasting, reducing unnecessary trips. Real-time data
analytics from IoT devices in transport vehicles help in dynamic
route adjustments, avoiding delays and optimizing fuel use. "
OVERCOMING CHALLENGES
Dairy processors face numerous issues in route optimization,
particularly concerning seasonal demand fluctuations and
varying product shelf life.
" During peak production periods, the sheer volume of milk
can strain fleets, causing bottlenecks and delays, " Ridley said.
" In slower seasons, trucks are often underutilized, leading to
inefficiencies and higher costs. One way processors address
this is through commingling - combining milk from different
producers or allowing haulers to combine milk destined
for different processors on the same truck. This approach
helps maximize fleet utilization and reduce transport costs,
especially in regions with many small farms. "
Shelf life adds another layer of complexity to route
optimization. Freshness is critical, and delays can jeopardize
milk quality.
" That's where tools like MADCAP's Hauler Mobile come
42 JAN-FEB 2025 | DAIRYPROCESSING.COM
into play, " Haas said. " Working in tandem with the platform's
auto-scheduler, Hauler Mobile provides real-time, dynamic
route updates to haulers. This means haulers can quickly
adjust schedules based on real-time load forecasts, traffic
conditions or unexpected disruptions. It reduces time spent
on planning for processors and offers haulers the flexibility to
adapt to challenges - ensuring milk gets where it needs to be
on time and in optimal condition. "
THE ROAD AHEAD
Keeping dairy transportation compliant while optimizing
routes is a real balancing act. What helps with this are tools
like GIS, which tracks road classifications, weight limits and
bridge clearances. This ensures the routes are planned within
regulations and optimized for efficiency.
" MADCAP integrates this data seamlessly, making it easy
to stick to the rules while optimizing for time and cost, " Ridley
said. " We also have to consider hours of service regulations,
which can limit how many hours a driver is allowed to be on
the road. We've worked with clients who've had to deal with
this issue, and having a scheduler that automatically adjusts
to stay within those hours makes a difference. The real-time
adjustments that MADCAP provides allow for flexibility
without risking non-compliance. "
Looking ahead, industry insiders predict data is going to
stay at the core of route planning.
" The key is having real-time, accurate primary data from
all parts of the supply chain, whether that's trucks, farms or
processing plants, at your fingertips, " Haas said. " To make the
most of this, companies need to have their systems working
together. If everything's siloed, it's going to slow things down
when decisions need to be made fast. The smoother the data
flows, the better and quicker the routes can be planned. "
Baldi suggests future trends in dairy transportation route
planning include the integration of AI for predictive analytics
and real-time route adjustments, and the use of autonomous
vehicles for more precise and efficient delivery schedules.
Therefore, companies should invest in scalable technology
solutions that can adapt to these advancements, focusing on
data analytics for better decision-making.
©alexugalek-stock.adobe.com
http://www.DAIRYPROCESSING.COM
dp_2025_02_01
Table of Contents for the Digital Edition of dp_2025_02_01
dp_2025_02_01 - Intro
dp_2025_02_01 - FC1
dp_2025_02_01 - FC2
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