Skip to main content
Industry Insights
Brandon Smith3 min read
Two manufacturing leaders evaluating automation decision scenarios with ROI projections on factory floor

Two food manufacturers face identical decision: Should we invest $5M in automation at our main plant?

Company A: CEO decides quickly based on gut feeling. Investment proceeds. Results: Modest ROI, disrupted operations, demoralized employees.

Company B: Structured decision process--data gathering, scenario analysis, stakeholder input, quantified decision criteria. Investment decision more confident. Results: Strong ROI, smooth implementation, employee buy-in.

Same decision, vastly different approach and outcomes.

The Decision-Making Framework

Step 1: Problem Definition

Clearly articulate decision:

  • "Should we invest $5M in automation at Plant A?"
  • Not: "What should we do about automation?"

Define decision criteria:

  • Financial: ROI over 20%, payback under 4 years
  • Operational: Maintain production during changeover
  • Strategic: Alignment with 5-year plan
  • Risk: Mitigate implementation risk

Step 2: Data Gathering

Assemble relevant information:

  • Financial Analysis:

    • Current labor costs: $8 per hour x 100,000 annual hours = $800K
    • Automation capex: $5M
    • Annual labor savings: $400K (assume 50% labor reduction)
    • Maintenance: $50K annually
    • Net benefit: $350K/year
    • ROI: $350K / $5M = 7% annually
    • Payback: 14 years
  • Operational Analysis:

    • Current OEE: 75%
    • Projected OEE with automation: 85%
    • Production uptime during installation: 2-3 months downtime
    • Risk: Equipment malfunction, training delays
  • Strategic Analysis:

    • Aligns with operational excellence strategy
    • Enables growth without headcount
    • Competitive advantage vs. manual production
  • Stakeholder Input:

    • Operations team concern: Implementation risk
    • Finance team concern: Low ROI
    • Quality team view: Improved consistency expected
    • Employees concerned: Job security

Step 3: Option Analysis

Develop alternatives:

OptionInvestmentSavingsROIRisk
Option A: Automate all$5M$350K7%High
Option B: Automate 50%$2.5M$175K7%Medium
Option C: Add shift$1M$200K20%Low
Option D: Do nothing$0$00%Competitive risk

Step 4: Decision Framework

Create weighted scorecard:

CriteriaWeightOption AOption BOption C
Financial ROI30%2/102/109/10
Strategic alignment25%9/108/105/10
Implementation risk20%3/106/109/10
Employee impact15%4/106/108/10
Growth enablement10%8/106/104/10
Weighted Score100%5.15.86.4

Step 5: Recommendation

Based on scoring:

  • Option C (Add shift): Best overall score
  • Rationale: Improved ROI, lower risk, faster implementation
  • Recommendation: Add shift, revisit automation in 2 years
  • Contingency: Automation becomes viable if growth exceeds projections

Step 6: Implementation Plan

If decide to add shift:

  • Recruit and train operators (3 months)
  • Adjust scheduling and supervision
  • Monitor production and quality
  • Review decision quarterly

Best Practices

  1. Separate Decision from Implementation: Decide on merits, then plan execution
  2. Quantify When Possible: Use data, not opinions
  3. Acknowledge Uncertainty: Scenario analysis captures downside risk
  4. Stakeholder Engagement: Build buy-in before decision
  5. Document Assumptions: Enable learning if outcomes differ
  6. Review Outcomes: Compare actual to projections, extract lessons

For food manufacturing companies, structured decision-making frameworks improve decision quality while building organizational confidence and alignment.