Simprago/Chapter 7
Simprago15 min4 Sections1 Tables

Chapter 7: Decision Making and Solution Selection

Criteria Filtering, Group Decision Making, Computational and Intuitive Methods, ROI, and FMEA

Key Concepts:Impact vs Effort MatrixOccam’s RazorQuick Wins StrategyMCDM Decision Scoring

«When confronted not with a single solution but multiple competing paths, structured evaluation tools empower decision-makers to choose the most prudent alternative with minimal residual risk.»

—Mojtaba Goudarzi, Simprago
Executive Overview

In complex problem-solving initiatives, teams frequently discover multiple viable countermeasures rather than a solitary path. Hasty commitments at this junction can misallocate precious resources. Simprago combines criteria filtering, group consensus, and mathematical evaluation models to select the most cost-effective and risk-resilient remedy.

2x2 Decision Matrix

Impact vs Effort Solution Prioritization

Quick Wins 🚀High Impact | Low Effort

High payoff with low friction. Execute immediately to build team momentum and instant ROI.

Action: Fast-track immediate execution
Major Strategic ProjectsHigh Impact | High Effort

Substantial payoff requiring investment and cross-functional project management.

Action: Phased rollout & budget charter
Fill-ins / Minor TasksLow Impact | Low Effort

Low impact, low effort. Delegate to free slots without interrupting core priorities.

Action: Low-priority filler
Thankless Money Pits ⛔Low Impact | High Effort

High effort yielding negligible value. Discard decisively.

Action: Eliminate decisively
#1

1. Four Strategic Approaches to Solution Selection

When evaluating alternative remedies, Simprago categorizes decision frameworks into four primary vectors:

A) Criteria Filtering: Systematically screening candidates against non-negotiable hurdles (e.g., regulatory compliance, capital caps, timeframes). Any candidate breaching a baseline criterion is instantly eliminated.

B) Group Decision Making: Structured consensus-building that leverages diverse technical disciplines. Techniques such as Delphi consensus and assigning a formal Devil’s Advocate prevent the dangerous pitfall of Groupthink.

C) Quantitative Computational Models: Utilizing mathematical and financial models to compute risk-adjusted yields. Prominent Simprago tools include Cost-Benefit analysis, Return on Investment (ROI), and FMEA prioritization.

D) Intuitive and Experiential Judgment: Tapping seasoned executive intuition when hard data is scarce or ambiguous due to extreme market turbulence.

Equilibrium of Data and Intuition

Simprago advocates empirical rigor: executive intuition must serve as an interpretive compass for quantitative models rather than an arbitrary substitute.

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2. Return on Investment (ROI) in Solution Selection

Return on Investment (ROI) provides an unambiguous economic yardstick to substantiate the feasibility of proposed solutions.

Core Formula: ROI = (Net Profit from Solution ÷ Initial Capital Outlay) × 100.

Case Study: A manufacturing upgrade requires $100M in tooling. Over 12 months, the remedy generates $140M in cost avoidance and enhanced revenue:

• Net Profit: $140M - $100M = $40M.

• 12-Month ROI: (40 ÷ 100) × 100 = 40%.

• Payback Horizon: The entire initial principal is recouped in 30 months, with subsequent cash flows representing pure operational gains.

#3

3. Solution Selection via FMEA Risk Mitigation Matrix

FMEA serves a dual mandate in Simprago: beyond initial defect ranking, it functions as a quantitative selector among competing countermeasures.

The Selection Heuristic: Candidates are ranked based on secondary predicted RPN (Risk Priority Number) post-implementation. The countermeasure yielding the lowest residual RPN—demonstrating maximum risk suppression—is selected for executive rollout.

Empirical Choice

Upgrading seal polymer formulation drops RPN from 294 to 84 (a 71% risk reduction), definitively outperforming the inspection fixture alternative (RPN 147).

FMEA Solution Selection Matrix - Vacuum Cleaner Dust Container Case Study
3 rows
OperationFailure ModeProposed CountermeasureLead UnitSev (S)Occ (O)Det (D)Initial RPNProjected RPN
Housing DesignDust chassis leakageRedesign latching geometry with enhanced toleranceR&D Engineering73314063
Housing DesignSuction dropUpgrade to high-performance polymer sealsMaterials Engineering74329484
Housing DesignSuction dropIntroduce dedicated pressure-gauge inspection fixtureQuality Control773294147
#4

4. Practical Chapter Workshops and Exercises

Master quantitative solution filtering through the following drills:

Action Worksheet

• Drill 1 (ROI Scoping): Calculate the 12-month ROI for an active operational bottleneck in your organization.

Action Worksheet

• Drill 2 (Breakeven Calculation): Determine the exact payback timeline for a proposed equipment overhaul.

Action Worksheet

• Drill 3 (Comparative Evaluation): Benchmark two mutually exclusive options (e.g., bespoke software development vs. commercial SaaS) using both ROI and residual risk.

Action Worksheet

• Drill 4 (FMEA Countermeasure Audit): Build an action-oriented FMEA matrix to evaluate predicted RPN reductions across three candidate solutions.

Strategic Takeaways

3 Core Takeaways for Problem Solvers

1

Capture Quick Wins first to ignite organizational momentum and team morale.

2

Use Occam’s Razor to prioritize the simplest, most elegant viable explanation.

3

Score every alternative objectively against cost, impact, and feasibility criteria.

Notes & References

1. The Devil's Advocate methodology traces back to the historic Roman Catholic canonization process, later institutionalized in corporate governance to systematically dismantle confirmation bias.

2. The ROI metric was formalized in the early 20th century by the DuPont Corporation as part of the DuPont analysis model.

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