Daily network-level summary of customer order fulfillment performance.

Shows how many customer orders were fulfilled each day and in what manner. Reveals patterns in service level over time.

• DateStamp – Date of snapshot

• CustomerOrders counts – Total, delivered in full/partial, not delivered, OTIF, split, shipped from primary, backordered, canceled

• CustomerUnits – Requested, delivered, lost/canceled, backordered

• CustomerRevenue – Revenue (based on delivered units)

• Track service level trends over the simulation period

• Identify seasonal or temporal patterns

• Diagnose when and why performance degrades

Daily network-level summary of replenishment (inbound) order fulfillment performance.

Shows how many replenishment orders were fulfilled each day and in what manner. Reveals patterns in service level of replenishment orders over time. Shows how well suppliers, or other sites, are meeting replenishment needs.

• Understand supplier reliability over time

• Visualize replenishment order patterns over time

Order-level detail for every customer order in the simulation.

Most granular view of customer order fulfillment, including whether each order was on-time, in-full, split, or lost.

• OrderID, Destination – Order and customer identification

• Service Status: OrderDeliveredInFull, OrderDeliveredPartial, OrderNotDelivered, OTIF

• ShippedfromPrimary - was this order shipped from its primary source (preferred source)?

• AnyLineBackordered, AnyLineCancelled - summary across the lines of this order

• Dates: DateRequestReceivedMin, DateArrivedMax, DestinationDueDate

• WasOrderSplit, AnyLineSplit – Was the Order fulfilled from more than one source? Were any lines on the Order fulfilled from more than one source?

• OrderCycleTimeDays – Time from order to delivery

• Analyze system performance by Customer

• Calculate fill rate, OTIF rate, and order split frequency

• Understand order cycle times

Order line-level detail for each SKU within each customer order.

Shows the outcome of each product line within an order, including quantity sourced, shipped, backordered, or lost.

• OrderID, OrderLineID, SKU, Destination – Order, Customer and product identification

• Order Line Quantity: QuantityRequested, QuantityShippedOnTime, QuantityShippedFromOrigin, QuantityBackorderedAtOrigin, QuantityLostOrCancelled

• Order Line Service Status: OTIF, ShippedFromPrimary, SplitShipment

• CycleTimeDays – Time to fulfill this line

• Revenue – Revenue of each order line based on quantity delivered

• Identify which products are problematic (high backorder/split/loss rates)

• Analyze by SKU to find demand/supply mismatches

• Examine line-level splits to understand fulfillment complexity

• Calculate fill rates and service levels by product

Daily site-level summary of customer order line service metrics.

Shows the order fulfillment and service level for each site over time.

• LocationName – Site name (or "NotSourced" if no site could fulfill)

• CustomerOrderLines - number of order lines, and all service level metrics by line (OTIF, backordered, split, etc)

• CustomerUnits – quantity sourced, shipped, backordered, lost

• Evaluate relative performance of different sites

• Identify bottleneck locations generating backorders

• Understand sourcing patterns and role of each site

• Diagnose capacity constraints or sourcing rule issues

Daily inventory position by site and SKU, including on-hand, policy parameters, and carrying costs.

Provides the most detailed view of inventory across the network. Shows daily on-hand, position and costs.

• Site, SKU, InventoryDate

• InventoryOnHand – quantity of this SKU at this Site on this date

• InventoryPosition – quantity of this SKU at this Site plus any product that is inbound to this Site, on this date.

• Analyze inventory levels against reorder points

• Calculate total inventory investment and carrying costs

• Identify sites with excessive or insufficient stock

• Validate that reorder policies are working as designed

• Track inventory trajectory over the simulation period

Detailed event-by-event inventory activity for each site/SKU combination.

Most granular inventory view, showing every inventory event and its impact on on-hand balance. Useful for understanding dynamics.

• InventoryDate, Site, SKU – Date and location

• InventoryEventOrActivity – Type of event (Review, Receipt, Shipment, etc.)

• InventoryOnHand, InventoryInbound, InventoryOutbound – Before and after

• InventoryPolicyParameter1 (s), InventoryPolicyParameter2 (S) – Reorder point and quantity

• Trace inventory through time at individual location/product level

• Validate replenishment logic

• Understand inventory volatility and variability

• Analyze seasonal or demand-driven inventory swings

Daily in-transit inventory by shipment and SKU, including carrying costs.

Shows goods shipped but not yet arrived. Important for understanding pipeline inventory and cost impact.

• Calculate total in-transit inventory investment

• Understand impact of long lead times on network inventory

• Identify routes with high pipeline inventory

Daily cost breakdown by location and SKU, including transportation, carrying, and operational costs.

Shows where costs are incurred across the network.

• DateStamp, LocationName, SKU

• InboundTransportationCost, OutboundTransportationCost

• AverageInventoryCarryingCost, AverageInTransitInventoryCarryingCost

• LoadingCost, UnloadingCost, DetentionCost

• CustomerRevenue, CustomerRevenueLostOrCancelled

• Identify cost drivers and high-cost SKUs or locations

• Understand cost trends over time

• Calculate cost per unit by location/SKU

Shipment-level detail for every shipment including origin, destination, mode, weight, cube, and costs.

Provides visibility into transportation performance, shipment consolidation, mode selection, and freight costs.

• ShipmentID, Origin, Destination, Mode – Shipment identification

• ShipmentWeight, ShipmentCube, ShipmentQuantity – Physical characteristics

• ShipmentUtilization – How full was the shipment?

• TransitTimeDays – Time in transit

• ShipmentTotalCost – Freight cost

• Analyze shipment consolidation

• Understand transportation cost structure

• Identify mode selection patterns and cost implications

• Diagnose inefficiencies (many small shipments vs. few large)

• Evaluate whether mode constraints are being met

Detail of each product line within each shipment, including weight/cube contribution.

Shows composition of each shipment and enables cost allocation across products.

• Allocate shipment costs to individual order lines or products

• Understand shipment consolidation patterns

• Analyze which products consolidate together

• Evaluate whether consolidation opportunities are missed

Daily summary of loading activity at each site, including total volume loaded.

Shows daily volume of outbound activity from each site. Useful for resource planning and capacity analysis.

• Understand daily loading volume patterns

• Identify peak loading days and sites

• Calculate average daily loading volume

• Assess whether loading capacity is constraining performance

• Plan labor and equipment needs

Daily summary of unloading activity at each site, including total volume received.

Shows daily inbound/receiving volume at each site. Useful for capacity and resource planning.

• Understand daily receiving volume

• Identify peak receiving periods

• Determine if unloading capacity is a bottleneck

• Plan dock and labor resources

Itemized loading costs for each product within each shipment.

Allocates loading costs to individual products for detailed cost analysis.

• Allocate loading costs to products or orders

• Identify high-cost loading situations

• Analyze loading cost per unit by SKU

Itemized unloading costs for each product within each shipment.

Allocates unloading costs to individual products for detailed cost analysis.

• Allocate unloading costs to products or orders

• Analyze unloading cost by product or site

• Identify high-cost unloading operations

Shipments waiting in yard (queue) for unloading and associated detention costs. Shipments wait in the yard if the unloading capacity has been met or if the storage capacity has been met and therefore the Site cannot accept any products.

Identifies bottlenecks in receiving process. Shows which shipments experienced delays and cost impact.

• ShipmentID, Destination – Shipment identification

• DateArrived, DateUnloadingStartMin – Timeline

• TotalDaysInQueue – Time waiting

• YardDetentionCost – Cost of waiting

• Identify sites with receiving bottlenecks

• Calculate detention costs and drivers

• Determine if unloading capacity or staffing is constraining

• Evaluate trade-offs between capacity investment and detention costs

Daily storage capacity utilization for each site.

Shows how full each site's storage is over time. Useful for capacity planning and identifying congestion.

• LocationName – Site name

• OnHandUnits, OnHandCases, OnHandPallets – Current inventory

• StorageCapacity – Total capacity

• StorageUtilization – Percentage of capacity used

• Track inventory levels against storage capacity

• Identify sites approaching or exceeding capacity

• Understand seasonal capacity needs

• Plan capacity expansions or consolidations

• Validate whether constraints are binding or loose