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      case studies

      From Uncertainty to Control in Weeks — Not Quarters

      Edwin

      From Uncertainty to Control in Weeks — Not Quarters

      Client Overview

      A global electronics manufacturer faced persistent supply chain disruptions driven by semiconductor shortages.

      These challenges created production delays, increased costs, and reduced operational visibility across their supply network.

      The Challenge

      The company struggled with three critical issues:

      • Frequent Chip Stockouts
        Production lines were repeatedly halted due to component shortages, leading to missed delivery commitments.

      • Rising Air Freight Costs
        Urgent, last-minute shipments significantly increased logistics expenses and eroded profit margins.

      • Lack of Data Visibility
        Fragmented systems meant there was no single source of truth, making it difficult to assess risks or prioritize actions effectively.

      The Solution

      A rapid, Excel-based control tower solution was deployed to provide immediate visibility and actionable insights—without requiring new system investments.

      Key components included:

      • Centralized Data Model
        Integrated supplier, carrier, and manufacturing data into one unified, real-time view.

      • Probabilistic Risk Scoring
        Each part was dynamically scored based on supply, demand, lead time, and inventory constraints.

      • Automated Sourcing Triggers
        High-risk components were automatically flagged, with recommended actions such as alternate sourcing, RFQs, or expedited logistics.

      • Decision-Ready Dashboards
        Real-time dashboards enabled teams to quickly identify risks and act on the most critical issues.

      Implementation Approach (4 Weeks)

      Week 1: Diagnose

      • Identified top 20–25 high-risk components

      • Highlighted immediate bottlenecks impacting production

      Week 2: Connect & Clean

      • Integrated ERP, supplier, and logistics data

      • Standardized and cleansed datasets

      Week 3: Risk & Allocate

      • Applied risk scoring models

      • Developed allocation rules and scenario planning

      Week 4: Execute & Enable

      • Activated automated triggers

      • Embedded workflows into daily operations

      Sustaining the Impact

      To ensure long-term success, the following operational practices were established:

      • Daily “War Room” Reviews
        Focused discussions on the highest-risk components for rapid decision-making

      • Clear Escalation Framework
        Defined ownership and escalation paths to resolve issues quickly

      • Supplier SLAs & Scorecards
        Improved accountability and responsiveness across the supply base

      • Phased Data Validation
        Continuous improvement of data quality without disrupting operations

      Results (First Year Impact)

      • 80% Reduction in Critical Chip Stockouts
        Significantly improved production continuity

      • 40%–65% Reduction in Expedite Costs
        Lower reliance on costly emergency shipments

      • 20%–35% Improvement in On-Time Delivery
        Increased reliability and customer satisfaction

      • Decision-Making Time Reduced to Under 2 Hours
        Faster, more confident allocation and sourcing decisions

      Conclusion

      By implementing a lightweight yet powerful control tower approach, the manufacturer transitioned from reactive “firefighting” to proactive supply chain management. Within just four weeks, they gained real-time visibility, reduced risk exposure, and improved operational efficiency—demonstrating that meaningful transformation doesn’t require years or complex system overhauls.