Improving Methods for Matching Single Donor Platelet Production to True Demand and Reducing Outdate Waste

Improving Methods For Matching Single Donor Platelet Production To True Demand And Reducing Outdate Waste Tracy CummingsBlood Centers of the Pacific10/14/2013

Single donor platelet (SDP) inventory management is among the most challenging blood center tasks.

Short effective shelf-life after donor and bacterial testing completed about 3.5 days.

Consignment presents an additional layer of complexity.Background

AVAILABILTY VS. OUTDATES

Background

The blood center adopted a two part strategy, using already available data.

Understand how many appointments will yield desired available SDPs by day of the week

Anticipate net customer usage by day of the week

Study Design and Methods

Accurately predict available inventory based on various production factors :

Procedures per appointment

Laboratory losses

Split rate for collected units = #components per Trima procedure

Desired safety + buffer stock for rotation and special handling

STRATEGY PART 1

Values for critical production factors were updated once per month.

Customer usage by day of the week was updated once per week from a rolling 4-week average.

This data was fed into a platelet appointment calculator. StrategY PART 1

Platelet Appointment CalculatorAppt PP RateSplit Rate (Lab)SDP Lab Losses (Rate) Safety + Buffer (Outdate)0.71.840.0390.084Day of Week[Forecasted] Net Day 2 UtilizationUsable ProductsProductsNet ProceduresAppts Needed(4 Week Average)558605629342488Monday7480834564Tuesday 951021065883Wednesday91981025579Thursday3336372029Friday6571734057Saturday1121211266998Sunday90971015578

Net SDP Usage by Day of the weekMondayTuesdayWednesdayThursdayFridaySaturdaySundaySUM10 Week Avg1049178939437675644 Week Avg1129074959133655584 Week Avg + 0.5 STD Dev12298861009136736064 Week Avg - 0.5 STD Dev1028162899029585114-Week High12798971079342874-Week Low836544818928514 Week Range44335326414364 Week Std. Deviation211624112715

Quantify the variations in usage introduced by holidays, seasons, etc.

The data proved too volatile to predict with certainty.May need many more data points ongoing efforts to create a solid model.

STRATEGY PART 2

Revised strategy was deployed in June 2013, to include consideration of product age.

Targets were set to cover daily rotation needs by day of the week. FOLLOW-UP

Appt PP RateSplit Rate (Lab)SDP Lab Losses (Rate) Buffer0.721.840.0390.04Day of Week Fresh Inventory DesiredUsable ProductsProductsNet ProceduresAppts Needed595619643349485Monday95991035677Tuesday 95991035677Wednesday95991035677Thursday5052542941Friday7073764157Saturday95991035677Sunday95991035677

Platelet Appointment Calculator

RESULTS

RESULTSImports by Month 2012 vs. 2013

RESULTS

STRAGETY UPDATE

Narrowing focus on SDP production and demand to day of the week can reduce variation and overall expirations/imports.

Volatility in demand from requires a buffer + safety stock to assure availability. Current goal is to keep outdates to 7% or less. Conclusions

More fine tuning of monthly production factors will smooth out variation. More stable processes = better production forecast.

Better understanding of seasonal, holiday weekly trends will help us be proactive in modifying the appointment schedule.NEXT Steps

Paul Merrill, Manager Warehouse and TransportationDiane Brodeur, Manager BPSJoy Johnson, Manager Technical Support ServicesPeter Kite, Supervisor Technical Support ServicesDena Terashima, Supervisor BPSDr. Roberta BruhnDr. Xutao DengDon Burghardt, Director of Recruitment

ACKNOWLEDGEMENTSTHANK YOU!