BUS 721 Week 5 Process Improvement Example

Reviewed by Davina Cresswell, MBA · University of Phoenix · Updated

This BUS 721 Week 5 example applies research on lean, Six Sigma and the dynamics of improvement to a manufacturer's most troublesome process. Week 5 of University of Phoenix BUS 721 addresses process improvement, and in BUS/721 DBA students weigh improvement methods, their theoretical foundations and the organizational dynamics that cause improvement programs to stall. The case is Tri-State, whose finishing lines cause most of its late orders through rework. The paper reviews research on lean practice bundles, the definition and theory of Six Sigma and the capability trap that leads managers to push for output instead of improvement, analyzes the finishing process, designs a combined improvement approach and plans how to protect improvement time and sustain gains.

CourseBUS 721 Issues in Optimizing Operations (BUS/721)
Week5
Paper typeDoctoral process improvement analysis
Lengthabout 1,162 words, 4 double-spaced pages plus title page and references
FormatAPA 7 student paper
SchoolUniversity of Phoenix
ProgramDBA
UpdatedOctober 2026

Free sample paper for BUS 721 Week 5

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Escaping the Capability Trap at the Finishing Line: Lean, Six Sigma and Process Improvement at Tri-State Cabinet

[Student Name]

University of Phoenix

BUS/721: Issues in Optimizing Operations

Week 5 Assignment

[Instructor Name]

[Date]

Tri-State Cabinet Company and all data are composites written for a model paper.

What this part is doingThe title names the dynamic and the process at the center of the analysis.
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In Week 2, the composite cabinet firm Tri-State learned that finish rework caused 46 percent of its late builder orders. Finishing lines apply stain, sealer and topcoat to cabinet doors and boxes, and about 7 percent of finished parts are rejected for color variation, dust, runs or poor adhesion. An earlier lean program faded, as Week 4 described. A process that fails one part in fourteen is not a quality problem alone; it is a delivery problem, a cost problem and a morale problem wrapped together. This paper applies process improvement research to Tri-State's finishing lines.

Lean Practice Bundles

Shah and Ward (2003) studied manufacturing plants and found that lean practices cluster into bundles, just-in-time, total quality management, total productive maintenance and human resource management, and that these bundles were associated with operational performance. Plant characteristics such as size, unionization and age influenced adoption. The finding suggests that improvement works through combinations of practices, not isolated tools.

Six Sigma Defined

Schroeder et al. (2008) defined Six Sigma as an organized, parallel structure to reduce variation in organizational processes, using improvement specialists, a structured method and performance metrics to achieve strategic objectives. They argued that its distinctive elements are the specialist roles, the structured problem-solving method and the focus on metrics.

What this part is doingDefining Six Sigma precisely distinguishes it from lean rather than blending them loosely.
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The Capability Trap

Repenning and Sterman (2002) studied improvement programs and found that when performance falls short, managers often push people to work harder rather than improve processes. Working harder produces quick gains but leaves less time for improvement, so capability erodes and performance falls further, a capability trap. Managers then attribute problems to workers' effort rather than to the system, reinforcing the cycle.

The Trap at Tri-State

When late orders rose, plant managers added overtime and pressured finishing crews to move faster. Improvement events were canceled because lines could not spare people. Rework rose as rushed work produced more defects, and overtime fatigue added to errors on late shifts. Managers blamed crews' care, confirming the attribution error Repenning and Sterman described.

Analyzing the Finishing Process

The finishing process includes sanding, staining, drying, sealing, sanding again, topcoating and curing. Rework data for three months show that color variation accounts for 41 percent of defects, dust and debris for 29 percent, runs and sags for 18 percent and adhesion problems for 12 percent.

Root Causes of Color Variation

Analysis found that stain viscosity varied with temperature in the unheated mixing room, that wood moisture varied by supplier lot and that spray gun settings differed by operator. Color variation is a variation problem suited to Six Sigma methods.

Root Causes of Dust

Dust came from sanding near the finishing booth, worn booth filters and doors opening to the warehouse, all visible on a walk through the line once operators pointed them out. These are flow and maintenance problems suited to lean and maintenance practices rather than statistical study.

A Combined Approach

Tri-State will run a Six Sigma project on color variation led by a trained specialist, with experiments on stain temperature, wood moisture and gun settings. At the same time, lean and maintenance practices will address dust: relocating sanding, scheduled filter changes and positive air pressure in booths.

The Cost of Rework

Rework is expensive. Each rejected part must be stripped or sanded, refinished and reinspected, consuming about 40 minutes of labor and materials. At current volumes, rework costs about $1.3 million a year in direct labor and materials, plus overtime to recover schedules and expedited freight to complete late orders. Reducing rework to 2 percent would save roughly $900,000 a year before counting retained builder business.

What this part is doingPutting a dollar figure on rework makes the case for protected improvement time.
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Experiments on Color Variation

The Six Sigma team will run designed experiments varying stain temperature, wood moisture range and spray pressure, measuring color with a spectrophotometer. Statistical analysis will identify which factors and settings minimize variation. Experiments will run on a pilot line in York before settings are standardized across plants.

Maintenance Practices

Total productive maintenance will assign operators daily checks of booth filters, air pressure and spray equipment, with maintenance technicians handling deeper service weekly. Worn equipment contributes to both dust and runs, so reliable maintenance supports quality directly.

Leadership Behavior Under Pressure

The capability trap is ultimately a leadership pattern. When late orders spike, leaders will be tempted again to cancel improvement time. The plant managers and chief operating officer have agreed in advance that improvement hours are protected and that they will review rework trends, not just output, in daily meetings, so the short-term dip is understood as an investment.

Involving Operators

Finishing operators know the process best, often better than engineers who see it only in reports. They will join project teams, collect data and propose solutions. Operators' suggestions, such as marking gun settings on each booth, are often the simplest fixes, and involving them builds the ownership the earlier lean program lacked.

Protecting Improvement Time

To escape the capability trap, leaders will reserve four hours per week per finishing crew for improvement work, even during peak periods, and accept a short-term output dip. Temporary staff will cover some production hours during the project, and builder orders will be sequenced to keep the most urgent ones moving.

Standard Work and Controls

Once causes are fixed, standard work will define stain mixing temperatures, moisture checks for incoming wood and gun settings. Control charts will track color measurements daily, so variation is caught before it causes rework and before parts reach packing.

Measures

Measures include rework rate by defect type, first-pass yield, finishing cycle time and the share of late orders caused by finishing. Targets are rework below 3 percent within six months and below 2 percent within a year.

Spreading the Results Across Plants

After the York pilot, settings and standard work will move to Hagerstown and Winchester, with York operators visiting to teach the new practices. Research on practice transfer applies here: the core elements, controlled stain temperature, moisture checks and booth maintenance, must transfer intact, while local teams adapt layouts and schedules.

Linking to Delivery

Reducing rework from 7 to 2 percent would remove most finishing-related delays, which caused nearly half of late orders, raising on-time complete delivery substantially and supporting the strategy from Week 1.

Sustaining Gains

Gains will be sustained through standard work, control charts, monthly reviews of rework data by plant leaders and incentives tied to first-pass yield rather than output alone.

Research Questions

Two questions follow from the case: how multi-plant manufacturers can escape capability traps when demand is high and whether combining Six Sigma projects with lean bundles produces more durable gains than either alone.

Conclusion

Tri-State's finishing rework reflects both variation and flow problems, deepened by a capability trap in which pressure to produce eroded improvement. Research on lean bundles, Six Sigma and improvement dynamics supports a combined approach, operator involvement and protected improvement time. Standard work, controls and aligned incentives will sustain the gains and support reliable delivery.

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References

Repenning, N. P., & Sterman, J. D. (2002). Capability traps and self-confirming attribution errors in the dynamics of process improvement. Administrative Science Quarterly, 47(2), 265-295. https://doi.org/10.2307/3094806

Schroeder, R. G., Linderman, K., Liedtke, C., & Choo, A. S. (2008). Six Sigma: Definition and underlying theory. Journal of Operations Management, 26(4), 536-554. https://doi.org/10.1016/j.jom.2007.06.007

Shah, R., & Ward, P. T. (2003). Lean manufacturing: Context, practice bundles, and performance. Journal of Operations Management, 21(2), 129-149. https://doi.org/10.1016/S0272-6963(02)00108-0

What the BUS 721 Week 5 instructions ask

The fifth BUS 721 paper typically asks doctoral students to analyze process improvement approaches and apply them to an organization. Common requirements include reviewing methods such as lean, Six Sigma and total quality management, their evidence and theory, analyzing a specific process with data, identifying root causes, designing an improvement approach and addressing the organizational dynamics that sustain or undermine improvement. Some prompts ask students to compare methods. Use research to justify the approach, apply tools to real process data, explain why improvement efforts often fail and cite sources in APA format. Show how improvement time will be protected when production pressure rises, since that is when programs usually stall.

How this BUS 721 Week 5 example is built

Finishing lines that produce 7 percent rework cause nearly half of Tri-State's late orders, and the paper applies process improvement research to fix them. Lean research shows that bundles of practices, just-in-time, quality management, maintenance and people practices, relate to performance together. Six Sigma research defines it as a structured approach to reducing variation using specialists and metrics. Research on improvement dynamics explains a capability trap: under pressure, managers push people to work harder, which erodes the time needed for improvement. Data show stain variation and dust as main causes. The paper combines a Six Sigma project with lean practices and protects improvement time.

BUS 721 Week 5 grading rubric: where the points go

Strong process improvement papers combine research on methods with careful analysis of a real process and attention to why improvement often fails. Faculty credit accurate descriptions of lean and Six Sigma and their evidence, use of data to identify root causes, an approach matched to the problem's nature, attention to dynamics such as the capability trap and specific practices to sustain gains. Recognizing that methods are complementary rather than competing shows judgment. Clear presentation and APA references finish the work. Estimating the financial effect of improvement, such as reduced rework labor and avoided late penalties, adds weight, and so does examining leaders' own behavior under pressure, since research on improvement dynamics places much of the responsibility for stalled programs on management choices rather than on workers.

BUS 721 Week 5 help: mistakes to avoid

Students often choose a method by name, lean or Six Sigma, without matching it to the problem. Diagnose first. Another frequent gap is analyzing processes without data. Use defect rates, cycle times and causes. Students also ignore why past programs failed. Address dynamics such as pressure to produce. Avoid treating improvement as a one-time event. Plan to sustain gains with standards and measures. Involve operators who know the process. Finally, show how improvement time will be protected, since that is often what determines success. Estimate the savings so leaders can weigh them against the short-term output dip. Track whether managers keep their commitment when demand peaks.

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BUS 721 Week 5 questions, answered

What does BUS 721 Week 5 usually cover?

It usually covers process improvement: lean, Six Sigma and related methods, their evidence and theory, process analysis with data, root causes, improvement design and the dynamics that sustain or undermine improvement.

Where can I find a free BUS 721 Week 5 sample paper?

The complete process improvement analysis for a cabinet maker's finishing lines, with research notes, can be read above with notes. DBA students can request a complimentary draft built on their own process.

What is the capability trap?

A dynamic in which managers facing performance shortfalls push people to work harder, reducing time for improvement, which causes capability to erode and performance to fall further.

What is the difference between lean and Six Sigma?

Lean focuses on flow and eliminating waste across a process, while Six Sigma focuses on reducing variation and defects through statistical analysis and a structured project method; many organizations combine them.

What are lean practice bundles?

Groups of related practices, such as just-in-time, total quality management, total productive maintenance and human resource practices, that research suggests work together to improve performance.

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