Category: Case Study

Improving On-Time Delivery Rate in PMO Projects

PMO’s current On-Time Delivery (OTD) rate averages 80% over the last nine months, with significant variability ranging from 74% to 84%, which is well below the organizational target of 90%. This performance gap results in frequent project delays, leading to client dissatisfaction, contractual penalty costs, and inefficient utilization of project resources.
Delayed project closures also create resource bottlenecks, impacting the start of new initiatives and reducing overall PMO throughput. In addition, schedule overruns contribute to cost escalations, management firefighting, and reduced confidence in the PMO’s delivery capability.

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Reducing Financial Data Entry Errors

The current financial data entry process shows a persistent error rate averaging 3.2%,
causing delays in reconciliations, inaccurate financial reporting, and consumption of nearly
15% of the finance team’s monthly hours on rework. These inefficiencies weaken compliance
readiness, increase operational workload, and extend the month-end closing cycle.
By reducing the error rate to ≤1% through standardized templates, ERP validation rules, and
AI-driven anomaly detection, the organization will significantly strengthen the accuracy and
reliability of financial reporting. The project is expected to improve reporting precision by over
65%, decrease manual corrections by at least 70%, and reduce the month-end close time by
20%. Additionally, enhanced process stability and improved turnaround times will elevate
internal stakeholder satisfaction from 75% to 90%, demonstrating the strategic value of this
improvement initiative.

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Increase Demand Forecast Accuracy

The current Demand Forecast Accuracy averages 70%, with fluctuations between 66% and
82%, resulting in frequent inventory imbalances, stockouts, and disruptions in production and
logistics planning. These inaccuracies are causing the organization to incur nearly ₹12 million
per quarter in excess inventory and lost sales. The variability in forecasting reduces customer
service levels, drives up carrying costs, and forces operations to rely on reactive planning
rather than a stable, data-driven approach. Improving forecast accuracy to at least 90% will
significantly reduce inventory costs by 15–20%, enhance product availability, and strengthen
coordination between Sales, Operations, and Supply Chain. Overall, the project is expected
to deliver annual savings of ₹30–40 million through improved efficiency and reduced
operational waste.

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Reduction in % of Accounts Receivable > 90 Days in Health Care Revenue Cycle Management

Over the past nine months, the Accounts Receivable (A/R) aging above 90 days has averaged 5%, delaying cash flow, increasing bad debt risk, and indicating inconsistency in the follow-up process. Reducing the aged receivables to 3% or lower within 12 weeks will enhance liquidity, improve working capital, and strengthen financial stability.
Streamlining and standardizing the A/R follow-up through Lean Six Sigma will help identify root causes, eliminate inefficiencies, and ensure timely collections. This improvement will not only accelerate cash inflows and reduce rework but also enhance payer relationships, boost team productivity, and contribute to long-term operational and financial excellence.

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Enhancing LOE Creation Efficiency Through TAT Reduction

The LOE Creation process is currently achieving only 79% SLA adherence, resulting in frequent
Turnaround Time (TAT) delays over the past nine months. These delays increase rework, reduce
operational efficiency, and negatively impact customer satisfaction. The project aims to improve
SLA adherence from 79% to 95% by December 2026 by reducing process delays and eliminating
major root causes. Achieving this goal will improve on time request completion, reduce manual
effort and rework, and enhance First Pass Yield. The expected outcome is an estimated 40%
reduction in process delays and a savings of approximately 250 operational hours annually. This
improvement will strengthen service quality, ensure consistent SLA compliance, and deliver
greater value to both customers and the organization.

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DMAIC-Based Improvement of Manpower Utilization in Offshore Structure Fabrication

The current average fabrication cycle time for HP piping and offshore structures is 4.0 days, with
significant variation ranging from 1 to 7 days, resulting in production delays, poor coordination
between fabrication, welding, blasting, and painting teams, increased waiting time, and
inefficient manpower utilization over the past 9 months. The objective of this Six Sigma project is
to reduce the average fabrication cycle time from 4.0 days to 2.5 days by December 2026.
Achieving this goal is expected to improve workshop productivity by approximately 20%,
enhance on-time project delivery, reduce idle labor and rework costs, and generate an estimated
AED 250,000 in annual savings through improved resource utilization and streamlined
production flow.

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Improving Gypsum Work Quality Through Lean Six Sigma Approach

The rework percentage in gypsum works has averaged 8.03% over the last nine months, resulting in increased project costs, material wastage, productivity loss, and schedule delays. The objective of this project is to reduce the rework percentage from 8.03% to 4.00% within the next four months through improved trade coordination, standardized work practices, workforce training, and enhanced quality control measures. Achieving this goal will lower labor and material costs, improve project completion timelines, reduce waste, enhance workmanship quality, increase client satisfaction, and ultimately improve the overall profitability and operational performance of the organization.

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Optimization of Storage & Segregation Process to Reduce Food Spoilage Losses

Inventory inaccuracies in the Food & Beverage warehouse are causing stock mismatches, order
fulfillment delays, unnecessary stock adjustments, increased operational costs, and reduced
customer satisfaction. Inaccurate inventory records lead to excess inventory, stock-outs, rework
during picking and cycle counting, and poor decision-making in procurement and demand
planning. By improving Inventory Accuracy from 85.1% to 98%, the organization can reduce
inventory-related losses, improve order fulfillment performance, optimize warehouse
productivity, enhance customer satisfaction, and achieve better control over inventory assets,
resulting in significant cost savings and improved business performance.

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Improving Patch Compliance Ratein CyberSecurity

Low patch compliance in the vulnerability management process exposed the organization to increasedcybersecurity risks, delayed remediation activities, regulatory non-compliance, and potential financial lossescaused by unpatched systems. The existing Patch Compliance Rate of 82% was significantly belowtherequiredtarget of 95%, leading to higher chances of security incidents, operational disruptions, and audit concerns. ThisSix Sigma project focuses on improving the patch management process through automation, faster changeapprovals, enhanced vulnerability scanning, and effective escalation mechanisms to improve compliancelevels,strengthen cybersecurity posture, reduce operational risks, and improve overall service reliability andcustomerconfidence.

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Reduction of Weld Rejection Rate by Improving Compliance to Welding Procedure Specification (WPS)

The current weld rejection rate of 7.77% has been consistently high over the past nine months,
leading to increased rework costs, extended project timelines, higher inspection efforts, and
reduced operational productivity. These inefficiencies not only impact internal performance but
also affect customer satisfaction and overall project profitability. By reducing weld defects
through strict adherence to Welding Procedure Specifications (WPS), improved process control,
and targeted corrective actions, the organization can significantly lower the Cost of Poor Quality
(COPQ), enhance process efficiency, ensure timely project completion, and strengthen customer
confidence. This project is therefore critical to achieving sustainable quality improvement and
operational excellence.

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