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Wolverine Inventory Manager
The Wolverine Inventory Manager application enables companies to identify and resolve
supply and demand balancing activities on finished products and key components to
optimize inventory investments and meet desired customer service levels across the
enterprise and supply network.
It allows companies to collaboratively plan replenishment activities while considering
demand forecasts and inventory levels. Users have real-time visibility into current and
projected inventory levels at any replenishment point such as a distribution center or a
warehouse, and can also generate purchase requisition proposals.
Any combination of inventory distribution model within the supply network can be
managed, including supplier sites to factories, suppliers to DCs, inter-site transfers, DCs
to customer sites, etc. Wolverine Inventory Manager also allows the quick and easy
changing of supply chain business rules.
Specific features include:
Constrained Based Replenishment
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Business rules and constraints are incorporated within the replenishment logic and
reflected in distribution and replenishment quantities.
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Constraints include: limited inventory, replenish lead-times, lot-size requirements,
minimum order quantities, etc.
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When supply is less than demand, inventory can be allocated based on user-defined
rules, such as customer prioritization, or automatically allocated by balancing the
shortage percentages across customers.
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Replenishment plans can be viewed and executed in both centralized and
decentralized fashions.
Inventory Re-balancing
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Instead of placing an order on a supplier, stock can be sourced from other sites that
are in an excess situation, optimizing inventory cash flow.
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Under urgent inventory shortage situations, stock can be re-distributed from other
sites that are closest first. The removed quantity can be replenished later.
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Users can utilize embedded algorithms to efficiently explore inventory-rebalancing
opportunities under various situations.
Safety Stock
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Safety stock calculations use variances in demand and supply together with inventory
carrying costs to establish the most profitable inventory level.
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The inventory model is set up optimally through the supply chain on a per item basis.
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The replenishment and distribution logic is based on achieving the set policy.
Projected Supplier Orders
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Users can view anticipated order quantities in any specified time period.
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Information can be shared with suppliers, effectively reducing lead times and supply
variance.
Key Performance Indicators (KPIs)
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Provides a set of common key performance indicators, such as on-hand inventory
level, inventory level in-transit, inventory turn, average backorder, etc., to measure
the health of inventory control.
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Key Performance Indicator (KPI) alerts ensure notification when KPIs fall below
preset parameters
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