JDA Powers the Always-on Supply Chain with Latest JDA Manufacturing Planning Release

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Latest release of JDA Manufacturing Planning powers always-on

synchronization and execution, in-memory workflows, prescriptive

analytics and real-time collaboration to better manage complex supply

chains

SCOTTSDALE, Ariz.--(BUSINESS WIRE)--Increased demand volatility, business velocity and intense competition

are placing increased pressures on supply chains to be responsive to

disruptions and changes. Manufacturers are struggling to cope with this

accelerated pace of commerce and still deliver profitable business

performance.

To address this challenge, JDA

Software Group, Inc. today announced innovative new capabilities

in JDA®

Manufacturing Planning, including intelligent and prescriptive

demand-supply planning, real-time and collaborative cross-functional

scenario analyses, and an innovative in-memory foundation for an

always-on supply chain. These capabilities allow manufacturers to

proactively plan risk-aware strategies, optimize business performance,

and respond to disruptive events with unparalleled speed and

intelligence. JDA’s industry-leading Manufacturing Planning solution

offers a seamless experience on a single platform, spanning diverse

supply chain processes such as network design, sales and operations

planning, demand, inventory and supply planning, order promising,

production scheduling, procurement and cross-enterprise collaboration.

“Our adaptable manufacturing strategy allows companies to maximize

return on invested capital by staying agile and flexible in the face of

high demand volatility, while staying resilient and responsive to supply

disruptions,” said Puneet Saxena, vice president, solutions strategy,

manufacturing planning, JDA. “Today, we introduce leading-edge

innovation that accelerates intelligent decisions and provides robust

real-time capabilities across demand and supply scenarios, extending our

already-industry-leading control tower solution. These capabilities help

manufacturers thrive in an ever-changing, high-volume, omni-channel

world by empowering associates across the manufacturing supply chain to

easily and collaboratively manage complex processes and deliver

profitable results.”

New capabilities within JDA Manufacturing Planning enable:

Always-on synchronization, providing a comprehensive control tower
view of all demand and supply activities. This single, shared
in-memory model spans all demand and supply functions, including all
related dependencies and constraints. Using the in-memory control
tower, a change anywhere can be immediately seen and propagated across
the entire portfolio and supply chain, and shared between demand and
supply planners.
Real-time collaboration and reconciliation capability to drive
consensus and alignment. The solution’s in-memory computing
framework facilitates real-time reconciliation and synchronization of
top-down and bottom-up inputs across demand and supply processes. User
judgments can be incorporated in real time to enable interactive and
collaborative consensus planning.
Predictive analytics to enable end-to-end scenario planning across
demand and supply. Built-in planning and simulation capabilities
enable users to predict performance outcomes of decisions or changes.
This allows planners to explore alternate strategies and build
consensus on contingency plans before enacting the most effective and
profitable decisions.
Prescriptive analytics with guided levers resolve demand, supply
and business performance exceptions. Prescriptive resolution
levers and playbooks are available to help orchestrate consistent
business processes and response actions across demand and supply
activities. The solution helps identify potential problems and
suggests appropriate resolution actions before any material impact to
the business.
New in-memory workflows increasing planning agility across all
manufacturing functions. Forecasting workflows leverage enhanced
in-memory computing and Excel to maximize user adoption and
information transfer. In-memory workflows also improve scalability,
enabling manufacturers to handle larger scenario models with
low-memory requirements.