LEAD 6143 Module 3 Operational Process Analysis Example

Sixty-Two Minutes From Door to Juice: Mapping the Donor's Path Through a Mobile Blood Drive and Finding Where the Time Goes

Student Name

American College of Education

LEAD6143: Strategic Operations Planning and Innovation

Module 3 Assignment

Instructor Name

October 26, 2026

Introduction

The stakeholder assessment in Module 2 found that donors want shorter visits, staff want schedules that make smaller neighborhood drives workable and families of patients with sickle cell disease need more donors of similar ancestry, which in turn requires more drives in urban neighborhoods. All three point to the same operational question: how much time does a donor visit take, and where could time and staff capacity be freed? This paper maps the donor process at the center's mobile drives, reports a time study and analyzes the results using queueing and lean concepts.

Method

During two weeks in September, two quality staff observed six mobile drives chosen to represent the schedule: three suburban workplace drives, one high school drive and two neighborhood drives at community centers. They recorded time stamps for 214 donors at each step of the process, from arrival to departure from the refreshment area, using a tablet form. Donors were told they were being timed to improve the process, and no personal information was recorded. Six drives over two weeks is a small sample, so the results describe patterns rather than precise averages for the whole schedule. Observers also noted any step where a donor left before donating for reasons other than deferral, such as a long wait; eleven donors, about 5%, did so, all at the two busiest suburban drives.

The Process Map

The donor path has six steps. At registration, a staff member confirms identity and eligibility in the donor database. In health history, the donor answers the required screening questionnaire on a tablet and a trained screener reviews the answers privately. At the mini-physical, the screener checks blood pressure, pulse, temperature and hemoglobin. The donor then waits for a donation bed. Collection itself takes about nine minutes for whole blood. Finally, the donor rests in the refreshment area for at least ten minutes. Two loops complicate the map: donors deferred at the mini-physical, most often for low hemoglobin, leave after spending about 25 minutes in the process, and donors who must answer follow-up questions in health history return to the screener queue.

Where the Time Goes

The median visit for donors who gave blood was 62 minutes. Registration took a median of 6 minutes, health history 14, the mini-physical 7, the wait for a bed 11, collection 9 and refreshment 10, with about 5 minutes of walking and minor waits between steps. Collection, the step that produces blood, accounts for less than a sixth of the donor's time. Health history and the bed wait together accounted for 25 minutes. The pattern was similar at all six drives, though neighborhood drives had shorter bed waits and longer health history times, because more donors were first-time donors answering the questionnaire for the first time.

Why the Waiting Area Is Crowded

Little (1961) proved a simple relationship for systems in steady state: over the long run, the typical count of units inside a system is the pace at which they come in times the typical length of their stay. At a typical suburban drive, donors arrive at about 12 an hour and spend about an hour on site, so roughly 12 donors are present at any moment. With six beds in use, half of those donors are waiting somewhere, mostly in the health history queue and the bed queue. The arithmetic explains a complaint staff raised in Module 2: waiting areas at host sites are often too small, and crowded waiting areas cause walk-in donors to leave. Reducing time in the system by 15 minutes would cut the number of donors on site by about a quarter at the same arrival rate.

A Lean Reading of the Delays

Lean production, as Holweg (2007) traced its development from the Toyota production system through the research program that named it, aims to remove activities that add no value for the customer while improving quality. Mazzocato et al. (2010), reviewing 33 studies of lean thinking in health care, found that successful applications worked by helping staff understand their processes, redesigning work for effectiveness, improving error detection and building collaborative problem solving, although most studies reported early technical stages rather than sustained change. Read this way, the donor process shows three kinds of waste. Waiting is the largest: 11 minutes for a bed and several minutes in the screener queue. Rework appears in the follow-up loop in health history. And late defects appear in hemoglobin deferrals, discovered only after the donor has spent nearly half an hour in the process.

What the Timing Means for Neighborhood Drives

The time study bears directly on the mission gap from Module 1. Neighborhood drives had longer health history times, a median of 19 minutes against 13 at suburban drives, because more of their donors were giving for the first time and needed the full questionnaire with more follow-up questions. They also had higher hemoglobin deferral rates, 14% against 9%, which meant more donors spending half an hour in the process without donating. Both differences reduce units per staff hour, the measure on which neighborhood drives look inefficient. In other words, part of what the scorecard reads as poor performance at neighborhood drives is the cost of welcoming new donors, and part of it is a process that discovers deferrals late. The first cost is worth paying for the mission; the second can be reduced. Separating the two is the most useful thing the time study did.

The Bottleneck

The constraint is the screener role. Each drive has two screeners who handle both health history review and the mini-physical for six beds. When screeners fall behind, beds sit empty and then fill in bursts, creating the bed wait that follows. Staff confirmed this in interviews: the screener is the step everyone waits for. Adding beds would not help, since beds are already idle at times; adding screener capacity or reducing each screening's time would.

Opportunities Identified

The analysis points to four opportunities, to be developed in Module 4. First, let donors complete the screening questionnaire online on the day of donation before arriving, which some blood centers already offer, reducing on-site health history time for returning donors. Second, check hemoglobin earlier in the screening sequence where regulations and procedures allow, so that deferred donors learn sooner and leave sooner. Third, redesign the screener role so that one staff member reviews questionnaires while another performs mini-physicals, balancing the line. Fourth, use appointment scheduling to smooth arrivals at large drives. Any change to screening must stay within federal donor eligibility requirements and the center's standard operating procedures, which will need review by the quality department.

Conclusion

Mapping and timing the donor process showed that collection takes nine minutes of a 62-minute visit, that waiting accounts for much of the rest and that the screener role constrains the whole line. Little's law explains why waiting areas feel crowded and how much a shorter process would relieve them. Freeing screener capacity and shortening visits would make more drives possible with the same staff, including the neighborhood drives the mission requires.

References

Holweg, M. (2007). The genealogy of lean production. Journal of Operations Management, 25(2), 420-437. https://doi.org/10.1016/j.jom.2006.04.001

Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383-387. https://doi.org/10.1287/opre.9.3.383

Mazzocato, P., Savage, C., Brommels, M., Aronsson, H., & Thor, J. (2010). Lean thinking in healthcare: A realist review of the literature. Quality and Safety in Health Care, 19(5), 376-382. https://doi.org/10.1136/qshc.2009.037986