| Course | WMBA 6040 Improving Business Performance |
|---|---|
| Week | Week 3 |
| Paper type | Measures defense |
| Length | About 1,070 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Master of Business Administration (MBA) |
| Updated | October 2026 |
Free sample paper for WMBA 6040 Week 3
Five Measures for an Optical Lab, Each Defined So Two Analysts Get the Same Number and Each Tied to What a Manager Does When It Moves: Coated Turnaround, Oldest Tray at Coating, First-Pass Yield, Frame Hold and Order Completeness
Student Name
Walden University
WMBA 6040: Improving Business Performance
Instructor Name
Month Day, Year
Five Measures for an Optical Lab, Each Defined So Two Analysts Get the Same Number and Each Tied to What a Manager Does When It Moves: Coated Turnaround, Oldest Tray at Coating, First-Pass Yield, Frame Hold and Order Completeness
Why So Few
The map drawn in Week 2 showed that a coated progressive job at Clearwater, the fictional eyeglass lab from Week 1, sits in the lab for roughly 8.3 working days yet receives less than three hours of actual work. The lab already reports dozens of figures, mostly counts of jobs shipped by department. None of them told managers where the 8.3 days went until the map was drawn.
This paper proposes five measures for the lab's production manager. Each must meet two tests. The definition must be tight enough that two analysts working separately from the same scan data arrive at the same figure. And each must be tied to an action a manager would take when it moves. Neely et al. (1995), reviewing research on the design of performance measurement systems, defined a performance measure as a metric that quantifies the efficiency or effectiveness of an action, and stressed that measures work as a designed system, not as isolated figures. Both points shape the proposal: each measure below is tied to an action, and the five are meant to be read together.
The Five Measures
Table 1
Measures, Definitions and Triggered Actions
| Measure | Definition | Reported | Action when it moves | |
|---|---|---|---|
| Coated turnaround | Business days from the order-release scan (prescription verified, frame present) to the shipping scan, for jobs with antireflective coating; median and 90th percentile | Weekly | If the 90th percentile exceeds 7 days two weeks running, the production manager adds a coating run | |
| Oldest tray at coating | At 6 a.m., hours since the oldest tray waiting at coating arrived there, by coating formulation | Daily | If any formulation exceeds 36 hours, it runs next | |
| First-pass yield | Jobs passing final inspection on their first inspection divided by jobs inspected for the first time, with reject reason codes | Weekly | If yield falls below 92 percent, the quality lead reviews the top reason that week | |
| Frame hold | Share of jobs waiting for a frame more than three business days after order entry | Weekly | Customer service calls every practice with a frame outstanding over two days | |
| Order completeness | Share of orders that need a query to the practice before release | Monthly, by practice | The ten practices with the highest rates receive an order-entry guide and a call | |
Definitions use the lab's existing tray scans; thresholds are starting proposals to be reset after two months of data.
Why Each Definition Is Written as It Is
Coated turnaround starts at the order-release scan, not at order receipt. That choice separates delays inside the lab from delays caused by practices, which the frame hold and order completeness measures capture. Without the separation, a week in which many practices sent frames late would look like a production failure. The measure reports the 90th percentile as well as the median because practices remember the slowest jobs, and because averages can improve while the worst cases get worse.
The oldest tray at coating is a leading indicator of turnaround. Turnaround is known only when a job ships, days after the delay occurred. The oldest tray shows the problem while it can still be fixed. It is reported by formulation because the Week 2 map showed that coating delays come from waiting for a run of the right type. Hopp and Spearman (2008) emphasized that queue time at a constrained resource is usually the largest component of cycle time, which makes the queue at coating the point to watch.
First-pass yield counts only first inspections. If remade jobs were included, a week with many remakes would show a large number of inspections and could hide how many failed. Reason codes are required with every reject, because yield alone does not tell the quality lead what to fix.
Frame hold measures the share of jobs held more than three days rather than the average hold, because most frames arrive within a day and the problem is a small number of long holds. Order completeness is reported by practice, since the action, guidance and a call, is aimed at specific practices.
Measures Considered and Left Out
Jobs shipped per day is left out of this set. It measures volume, and it can rise while turnaround worsens, for example when the lab clears easy uncoated jobs first. Revenue per job is a finance measure that production cannot act on. Machine utilization in coating is left out because pushing utilization higher at a constrained resource tends to lengthen queues, the opposite of the goal; Little (1961) showed that, for a given rate of jobs, longer time in the system means more work in process, and the lab already has about 5,400 jobs in trays.
How the Measures Work Together
The five measures form a small chain. Order completeness and frame hold describe what arrives. The oldest tray at coating describes the constraint. First-pass yield describes the largest source of rework. Coated turnaround is the result the practices see. If turnaround worsens while the oldest tray stays low, the problem is elsewhere, most likely yield. If the oldest tray rises first, coating scheduling is the place to act.
Testing the Definitions
Before adoption, two analysts in the lab's office will calculate all five measures independently for the same past month from the raw scan file. Any measure on which they disagree will have its definition revised until they agree. This is the practical meaning of a definition tight enough to produce a single number.
Reporting and Review
The measures will be reported in one place: a single page posted each Monday in the production office and included in the weekly operations report to the general manager. The page will show each measure's current value, its value four weeks earlier and the trigger level beside it, so anyone glancing at it knows which actions are due that week. The production manager will review the page with the coating supervisor, the quality lead and the customer service manager in a fifteen-minute meeting every Monday morning. The meeting has one agenda: which triggers fired last week and whether the triggered action happened. Measures that never fire for three months will be reviewed to see whether the threshold is too loose.
References
Hopp, W. J., & Spearman, M. L. (2008). Factory physics (3rd ed.). McGraw-Hill/Irwin.
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
Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116. https://doi.org/10.1108/01443579510083622
Reading the WMBA 6040 Week 3 instructions
Measurement assignments ask students to propose a small set of performance measures for the operation they have mapped and to defend each choice. Prompts usually require definitions precise enough to be calculated consistently, reporting frequency and a link to the action a manager would take when the figure moves. Instructors expect few measures rather than many, chosen for decisions rather than collected because data exist. They also expect students to explain what they left out. A definitions table usually anchors four or five pages of argument. A strong paper shows how the measures relate to one another, for example which ones lead and which lag. Proposing a test of the definitions, such as two analysts computing them independently, demonstrates that precision was taken seriously.
Inside the WMBA 6040 Week 3 example
The paper explains why the lab needs few measures and states two tests every measure must pass, citing Neely and colleagues on measures as a designed set. A table gives five measures with definitions, reporting frequency and triggered actions. A section explains each definition's choices: why turnaround starts at order release, why the 90th percentile is reported, why the oldest tray is a leading indicator, citing Hopp and Spearman on queues at a constraint, why yield counts first inspections only and why frame holds use a share over three days. A section explains three measures left out, including coating utilization, with Little's law. A section shows how the five form a chain from arrival to result. A closing section describes the two-analyst test. Notes in the margin draw attention to the table, the definitions and what was left out.
WMBA 6040 Week 3 rubric: what earns full marks
Graders reward measures defined precisely enough to produce a single figure, with clear start and end points and data sources. Tying each measure to a specific action shows that the set was built for management rather than reporting. Explaining definitional choices, such as excluding causes outside the operation's control, demonstrates understanding. Including a leading indicator alongside lagging outcomes often distinguishes strong papers. Saying which candidate measures were dropped, with reasons, signals deliberate choice. Showing how the measures work together earns credit for systems thinking. Citing research on measurement design and operations adds depth. Instructors also value a practical test of the definitions. The remaining credit rests on a clear table, tight writing and properly styled references.
WMBA 6040 Week 3 help from the desk
Start with the decisions a manager makes about the operation, then choose the figures that would inform them. For each measure, write exactly when the clock starts and stops, which jobs are included and where the data come from. Attach the action a manager would take when it moves. Students often lose marks by proposing ten or more measures, by using vague definitions such as turnaround time without saying from when to when, or by choosing figures nobody would act on. Another common gap is leaving out a leading indicator, so problems are seen only after they finish. Explain what you excluded. Test your definitions by asking whether two people would calculate the same number. If you need a custom sample measures paper for your own operation, send us the process map.
Get a WMBA 6040 Week 3 example written to your instructions
Paste the week 3 prompt and rubric into a request and a defended measure set for a comparable operation comes back within 24-48 hours, free for a first request. Sections differ on how many measures they expect and whether a table is mandatory, so put those details in your message and the draft obeys them.
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WMBA 6040 Week 3 questions, answered
Where can I find a free WMBA 6040 Week 3 sample paper?
Read the full performance measures defense for an optical lab, definitions and actions included, here.
What are the five measures?
Coated turnaround, oldest tray at coating, first-pass yield, frame holds over three days and order completeness.
Why does turnaround start at order release?
To separate delays inside the lab from delays caused by practices' late frames and incomplete orders.
Which measure is a leading indicator?
The oldest tray waiting at coating, which shows a problem days before turnaround does.
Why is coating utilization left out?
Pushing utilization higher at a constraint lengthens queues and adds work in process.