MMHA 6700 Week 6 Supply Par Level Analysis Example

Healthcare Operations Walden University Free custom sample in 24 to 48h

This MMHA 6700 Week 6 supply par level analysis example traces repeated stockouts of intravenous start kits on a 32-bed general ward at a composite hospital to replenishment timing rather than an undersized par. Walden MMHA 6700 asks MHA students to show their inventory math, and the paper works the par formula in full: average daily use times days between restocks, plus safety stock from the standard deviation of use. Tuesday use averages 31 kits, so a par of 40 restocked once at 07:00 barely covers an average day. Volland and colleagues describe internal logistics as a major source of supply failures. Comparing three options, a twice-daily restock meets demand with less stock than raising par to 60, balancing the views de Vries found among nurses and supply staff, consistent with Litvak and Fineberg on timing.

CourseMMHA 6700 Healthcare Operations
WeekWeek 6
Paper typeSupply par level analysis
LengthAbout 1,120 words, 7 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMaster of Healthcare Administration (MHA)
UpdatedOctober 2026

Free sample paper for MMHA 6700 Week 6

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Empty Bins on Tuesday Night: A Par Level Analysis of Intravenous Start Kits on a Medical-Surgical Unit

Student Name

Walden University

MMHA 6700: Healthcare Operations

Instructor Name

Month Day, Year

What this page is doingThe title names the item, the unit and the moment it runs out, which tells the reader the analysis is about timing as much as quantity.
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Empty Bins on Tuesday Night: A Par Level Analysis of Intravenous Start Kits on a Medical-Surgical Unit

The Problem

Nurses on 5 West, the 32-bed general ward at Linden Ford Medical Center that this course's operations work keeps returning to, report running out of intravenous start kits several times a month. Each kit holds the supplies needed to place a peripheral intravenous line: tourniquet, antiseptic, dressing, tape and gauze. When the bin is empty, a nurse must borrow from another unit or wait for central supply, delaying fluids, antibiotics and admissions. The unit manager's first proposal was to raise the par level, the maximum quantity the bin is stocked to, from 40 to 60.

This analysis asks whether the par is too low or whether the replenishment schedule is mismatched to when kits are used. It shows the par calculation in full, so each assumption can be checked.

What this page is doingThe opening states the manager's proposed fix, which sets up the analysis as a test of that fix rather than a general review.
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How Par Levels Work

In a periodic replenishment system, a supply technician counts each bin at a set time and restocks it to its par. The par should cover expected use until the next replenishment plus a buffer for variation, often called safety stock. A common working formula is: par equals average daily use multiplied by the days between replenishments, plus safety stock. Safety stock depends on how much daily use varies and how much risk of running out the hospital will accept. Hospital materials management research has found that internal logistics, including how and when units are restocked, accounts for much of supply cost and many service failures, and that replenishment policies are often set by habit rather than analysis (Volland et al., 2017).

Usage Data

Kit use was pulled from the unit's automated supply cabinet for eight weeks. The figures are illustrative.

Use follows admissions. Every new patient needs at least one line, and many need a second within a day. The midweek peak in kit use mirrors the midweek peak in scheduled surgical admissions and occupancy found in the Week 5 operating room review.

Table 1

Daily Use of Intravenous Start Kits on 5 West (Illustrative, 8 Weeks)

DayAverage kits usedHighest single day
Monday2433
Tuesday3142
Wednesday3040
Thursday2736
Friday2229
Saturday1621
Sunday1520
Weekly average per day2442

Use peaks Tuesday and Wednesday, when admissions to the unit peak, as earlier assignments this term found for the hospital as a whole.

Replenishment Timing

Central supply restocks 5 West once a day, at 07:00, to a par of 40. That is the core of the problem. A par of 40 restocked at 07:00 must last until 07:00 the next day. On a Tuesday, when average use is 31 and the highest day reached 42, the bin will run low by evening on an average day and empty on a busy one. Admissions to the unit arrive mostly between 14:00 and 22:00, after the emergency department's afternoon boarding queue starts to clear, so most kits are used in the second half of the replenishment cycle, when the bin is already depleted.

Applying the formula: with one replenishment a day, the time covered is one day. Average Tuesday use is 31. Daily use varies; the standard deviation on Tuesdays over eight weeks was about 6 kits. To keep the chance of a stockout on any given Tuesday to around 5 percent, safety stock is roughly 1.65 standard deviations, or about 10 kits. Par for Tuesday under once-daily replenishment is therefore about 31 plus 10, or 41. The current par of 40 is just short on average and well short on busy days.

What this page is doingShowing the formula with each number substituted lets the reader check the result and see which assumption drives it.
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Two Options Compared

With two replenishments, each cycle covers about half a day. Average use per cycle on a Tuesday is about 16, and the afternoon cycle, which carries more admissions, about 19. Adding safety stock of about 7 kits for half a day gives a need of roughly 26 per cycle, well within the current par of 40.

Raising par to 60 would also prevent most stockouts, but it puts more stock on the unit than it needs, takes bin space and, in hospital experience, larger visible stock invites hoarding in patient rooms and pockets, which hides usage and raises waste. Stakeholder research on hospital inventory systems found that nurses, supply staff and managers often hold different views of what a good inventory system looks like, with nurses valuing availability and supply staff valuing lower stock (de Vries, 2011). Option B gives nurses availability without the cost of extra stock.

Table 2

Raising Par Versus Changing Replenishment Timing

OptionPar neededKits on the unit at a typical timeStockout risk on a busy TuesdayOther effects
A. Raise par to 60, restock once daily at 07:006030 to 60LowMore space; more kits expire or are hoarded
B. Keep par 40, restock twice daily at 07:00 and 15:00about 26 per cycle15 to 40LowSecond technician visit; less stock on unit
C. Par 40, restock at 15:00 onlyabout 4110 to 40ModerateCovers the afternoon peak; mornings run lower

Option B meets demand with less stock, because each replenishment covers half a day rather than a full day.

What this page is doingComparing options in one table, with stockout risk and side effects, lets the manager see that timing can achieve what quantity would.
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Recommendation

Adopt Option B for 5 West: keep the par at 40 and add a 15:00 replenishment on weekdays. Measure stockouts reported by nurses and borrowed kits from other units for eight weeks. If stockouts fall to near zero, apply the same analysis to the other high-use items on the unit, such as saline flushes and blood culture bottles, which follow the same admission pattern. Ask central supply to review whether the 15:00 round can cover other medical-surgical units with similar afternoon admission peaks, since the added labor cost falls sharply when one technician serves several units on one route.

Limits

Eight weeks of cabinet data miss seasonal peaks. Cabinet records count kits removed, not kits used, so hoarding inflates apparent use. The safety stock calculation assumes daily use follows a roughly normal pattern, which may not hold on very busy days. The analysis covers one item on one unit.

Conclusion

The intravenous start kit stockouts on 5 West come from replenishment timing, not from too small a par. Kits are used mostly in the afternoon and evening, but the bin is restocked once at 07:00. A second, afternoon restock lets the current par meet demand with less stock on the unit than the manager's proposal would require. The same pattern, admissions concentrated in the afternoon and midweek, shapes supply as it shapes beds, and it supports the wider argument that hospitals gain more by matching resources to the timing of demand than by adding capacity everywhere (Litvak & Fineberg, 2013).

What this page is doingThe conclusion ties the supply finding back to the term's theme of timing, which shows how one operational pattern affects several systems.
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References

de Vries, J. (2011). The shaping of inventory systems in health services: A stakeholder analysis. International Journal of Production Economics, 133(1), 60-69. https://doi.org/10.1016/j.ijpe.2009.10.029

Litvak, E., & Fineberg, H. V. (2013). Smoothing the way to high quality, safety, and economy. New England Journal of Medicine, 369(17), 1581-1583. https://doi.org/10.1056/NEJMp1307699

Volland, J., Fügener, A., Schoenfelder, J., & Brunner, J. O. (2017). Material logistics in hospitals: A literature review. Omega, 69, 82-101. https://doi.org/10.1016/j.omega.2016.08.004

MMHA 6700 Week 6 instructions, in plain terms

Par level analyses ask you to decide whether a supply shortage comes from quantity or timing. State the problem and any fix already proposed. Explain how par levels and periodic replenishment work, including safety stock. Gather usage data by day, and if possible by time of day, from supply cabinets. Show the par calculation in full, with each number substituted, so readers can check it. Compare options in a table, including stockout risk and side effects such as hoarding and space. Recognize that nurses and supply staff value different things. Recommend the option that meets demand at least cost and propose measures to confirm it. Suggest where else the same analysis could apply.

Inside the MMHA 6700 Week 6 example

The paper describes the stockouts and the manager's proposal to raise par from 40 to 60. A section explains par levels and safety stock, citing Volland and colleagues. Table 1 reports daily kit use by weekday over eight weeks. A replenishment section shows that use peaks after the 07:00 restock and works the formula for a Tuesday, arriving at a par of about 41. Table 2 compares three options. A paragraph explains why twice-daily restocking needs only about 26 kits per cycle and cites de Vries on stakeholder views. The recommendation adds a 15:00 restock, and the conclusion links supply timing to admissions, citing Litvak and Fineberg.

Where the marks sit in the MMHA 6700 Week 6 rubric

Inventory analyses are graded on transparency. Explaining the par method and safety stock correctly earns the foundation. Showing the calculation with real substitutions earns substantial credit, since readers must be able to check it. Usage data broken down by day shows the pattern that drives the result. The analysis share rewards distinguishing a quantity problem from a timing problem. Comparing options with side effects, not only stockout risk, demonstrates judgment. Recognizing different stakeholders' priorities adds depth. A recommendation with measures and a path to other items shows follow-through. Tables and citations in APA form, matched to the reference list, finish the grade.

Common MMHA 6700 Week 6 mistakes, and how to avoid them

Par papers often accept that a shortage means the par is too low. Check when the bin is restocked and when items are used. If use peaks long after the restock, timing is the problem. Pull cabinet data by weekday. Write out the formula with your numbers. Compare raising par with restocking more often, and think about hoarding and space. Talk to both nurses and supply technicians, since they want different things. If you need to analyze supply levels on a unit you manage, we can help you set up the calculation and compare replenishment options. Ask the supply technicians what time they actually reach the unit, because the scheduled round and the real one often differ by an hour.

Get a MMHA 6700 Week 6 example written to your instructions

Name the item category or supply area the prompt covers, attach the rubric plus whatever usage data the section supplies, and the analysis arrives with its par math exposed. Free on the first request, ready in 24 to 48 hours. Purchasing exports stay with whoever owns them; usage figures here are made up and marked.

More MMHA 6700 papers and MHA samples

MMHA 6700 Week 6 questions, answered

Where can I find a free MMHA 6700 Week 6 sample paper?

The par level analysis, with its usage table and options table, can be read in full here.

What causes the stockouts in the MMHA 6700 Week 6 example?

Restocking once at 07:00 while most kits are used in the afternoon and evening after admissions arrive.

How is the par calculated?

Average daily use multiplied by days between restocks, plus safety stock of about 1.65 standard deviations of daily use.

Why not simply raise par to 60?

It would prevent most stockouts but put more stock on the unit, take space and invite hoarding.

What does the paper recommend?

Keeping the par at 40 and adding a 15:00 weekday restock, then measuring stockouts and borrowed kits for eight weeks.