Challenge 
A chemical manufacturer was experiencing variability in results from batch to batch and sought to find reasons for these inconsistent results. They aimed to validate the theory that seasonal temperature changes in their geographic area could affect production. Specifically, they needed to determine if the initial temperature of the machine was a valid factor, as heating something up when it is already hot out versus when it is cold out might affect the process. 

Products  
Minitab Real-Time SPC and Minitab Prolink

Solution 
Using Minitab SPC solutions (Real-Time SPC or Prolink), they smoothed the raw data with an EWMA chart to quickly identify when seasonal temperature affects production results. This chart helped validate the significance of initial machine temperature as a factor in production consistency and allowed personnel to make timely adjustments. 

Results 
This discovery allowed them to consider temperature fluctuations in developing their production process and planning for manufacturing and shipping timelines. The analysis confirmed that initial temperature is a factor to be considered, aiding in resolving batch variability issues. Following the data in real time using an EWMA chart allowed them to quickly make adjustments when ambient temperature came into play. 

Inconsistent batches can result in scrap, rework, or regulatory non-compliance. Studies show that batch manufacturing losses due to variability can reach $500,000–$1 million annually for mid-sized chemical plants. Real-time Statistical Process Control (SPC) tools allow manufacturers to detect process drift early, reducing waste and improving responsiveness. A manufacturer processing 400,000 parts/year with a 4% scrap rate loses $160,000 annually. Reducing batch variability by 25–50% could save $40,000–$80,000 annually, depending on material costs and the extent of process improvement. 

- $500K–$1M annually: batch manufacturing losses due to variability in mid-sized chemical plants 
- $160K annually: losses from a 4% scrap rate at 400,000 parts/year 
- $40K–$80K annually: savings by reducing batch variability by 25–50% with SPC 

Challenge 
In cataract surgery, lenses are now often implanted using an intraocular lens injection system rather than forceps. The organization designed a syringe-like injector preloaded with the lens, allowing surgeons to use an automated implant mechanism. The force applied by the syringe must be carefully controlled to avoid damage. 

Products 
Minitab Statistical Software, Minitab Engage 

Solutions 
The organization followed a DMAIC process when developing the new injector. Several tools including t-tests were used to evaluate statistical differences in injector pressure between the old and new design. 

Additionally, a two proportions test demonstrated that the proportion defective was reduced with the new design. 

Results 
The organization gained a better understanding of the performance of their new devices, ensuring they meet the necessary parameters. This confidence in their process and data continues to allow them to develop new and improved products. 

In addition to these qualitative benefits, research on preloaded intraocular lens (IOL) injector systems shows measurable, tangible outcomes: surgeries save 30 seconds to over 1 minute per case, which compounds into 5–8% more throughput annually, equating to up to 1,440 additional surgeries per year. These efficiencies generate $284,000–$565,000 in additional revenue per facility each year, while also reducing contamination risks by eliminating unnecessary IOL touches and minimizing setup delays. 

- 30s–1 min per case saved: time reduction with preloaded intraocular lens (IOL) injector systems 
- 5–8% more throughput annually: up to 1,440 additional surgeries per year 
- $284K–$565K annually: additional revenue per facility from efficiency gains 
- Reduced contamination risk: fewer IOL touches and setup delays, improving patient safety and efficiency 

Challenge 
A stability test evaluates how a drug or product maintains its potency, purity, and quality over time under various conditions like temperature, humidity, and light. Scientists in the pharmaceutical industry use these tests to determine product shelf life as well as to guide proper storage, handling, and labeling instructions. Because the same tests are run on many variables across multiple batches and lots at multiple time points, automating this work is key to efficiency. 

Products 
Minitab Statistical Software, Minitab Connect 

Solution 
Minitab Connect was configured to automatically read the latest data, manipulate it for analysis, run a stability study using Minitab Statistical Software, and report results back to the Connect Dashboard where the results could be shared with the US FDA. 

Results 
The time to generate each FDA stability report has dropped from several hours to fully automated, enabling immediate updates whenever new data becomes available. Industry-wide, such automation typically leads to a 40%–90% reduction in manual data entry errors, as well as a 40%+ increase in productivity thus freeing analysts to focus on higher-value tasks rather than repetitive reporting. Stability software also helps ensure strong regulatory compliance, maintains data integrity through audit trails, and delivers consistently formatted, submission-ready reports, minimizing risks of non-compliance or data integrity issues.  

- Several hours to automated: time to generate each FDA stability report reduced to real time 
- 40%–90% reduction: fewer manual data entry errors through automation 
- 40%+ increase: productivity gain, freeing analysts for higher-value work 
- Reduced compliance risk: submission-ready reports and audit trails minimize costly errors 

Challenge 
A bottling plant Quality Engineer struggles with inconsistent product quality due to reactive problem-solving. Issues like fill levels that are too low or too high, misaligned labels, and inconsistent carbonation are often identified after significant scrap and rework have occurred, leading to lost time and money. Outdated reports and manual data compilation hinder timely identification of root causes. 

Products 
Minitab Statistical Software, Minitab Real-Time SPC and Minitab Prolink

Solution 
Minitab Real-Time SPC and Prolink provides instant visibility into production data, enabling the Quality Engineer to detect deviations in fill levels, carbonation, and capping processes in real time. Control charts alert to shifts and trends, allowing for proactive intervention before defects accumulate. Integrated with Minitab Statistical Software, the Quality Engineer can perform advanced analysis directly from the Real-Time SPC dashboard. 

Results 
By implementing Minitab SPC solutions, the bottling plant achieved dramatic reductions in scrap and rework, enabling early detection and correction of process deviations. This led to improved fill-level consistency, reduced downtime, and fewer customer complaints, all of which translated into measurable cost savings and enhanced customer satisfaction. 

Industry research shows that beverage plants typically lose 1–3% of production to scrap and rework, which can cost $500,000–$1.5M annually for a mid-sized bottling facility producing ~200M bottles per year. Real-time SPC solutions have been shown to cut scrap and rework by 50–90%, reducing escaped defects from 8% to just 0.5%. For a plant with annual scrap costs of $1M, this translates into $500,000–$900,000 in savings per year. In addition, reduced downtime and fewer complaints lower warranty claims and protect brand reputation, further improving financial performance. 

- $500K–$1.5M annually: typical scrap and rework losses for a mid-sized bottling plant 
- 50%–90% reduction: scrap and rework savings possible with Real-Time SPC 
- $500K–$900K annually: savings per year for a plant with $1M scrap costs 
- 8% to 0.5%: reduction in escaped defects with real-time monitoring 

Challenge 
Reducing time in the Emergency Department (ED) is essential to identify bottlenecks, reduce wait times, improve resource allocation, enhance patient experience, and increase efficiency. Effective management of ED processes is crucial for providing timely care and optimizing the use of healthcare resources. 

Products 
Minitab Workspace, Minitab Simul8 

Solution 
The healthcare facility utilized process maps and value stream maps in Minitab Workspace to assist in optimizing healthcare processes, reducing inefficiencies, and mitigating risks. By mapping the process, the facility was able to identify bottlenecks and areas for improvement. Minitab Simul8 was used to simulate future bed availability to reduce backups in the ED. This simulation helped in understanding the impact of various changes and optimizing resource allocation to achieve better performance. 

Results 
With ongoing cost reductions and other restrictions within the healthcare environment, resources are becoming increasingly precious and scarce. Tools like Simul8 ensure that the highest performance is achieved with the most reasonable allocation of resources. These improvements enhance patient experience and increase overall efficiency in the ED. John Hopkins created an ED simulation at Howard County Hospital, which was then used across the whole system to help in their quest for zero-wait EDs. 

This simulation demonstrated a 16% reduction in Length of Stay (LOS) and a significant reduction in wait time from 61.8 minutes to 16.2 minutes. These improvements enabled faster patient flow, reduced wait times, and optimized resource allocation, moving the institution significantly closer to its zero‑wait ED goal. The simulation insights also supported strategic infrastructure decisions, informing capacity planning for a $40 million ED expansion at Bayview Medical Center. 

- 16% reduction: decrease in patient Length of Stay (LOS) in the ED 
- 61.8 minutes to 16.2 minutes: reduction in average ED wait times 
- $40M expansion: simulation insights supported capacity planning for Bayview Medical Center 

Challenge 
Reducing patient wait times for lab results is crucial because timely results are essential for accurate diagnosis and effective treatment. Physicians need reliable wait time estimates, but the variability in wait times is excessive, and it takes too long to obtain results. This delay can lead to prolonged patient anxiety, delayed treatment decisions, and overall inefficiency in healthcare delivery. 

Products 
Minitab Statistical Software, Minitab Simul8 

Solution 
The diagnostic lab first collected baseline data to evaluate current performance relative to their wait time KPIs. Minitab enabled comprehensive analysis of patient data to identify trends and patterns, aiding in informed decision-making. The Minitab Assistant guided users to the most appropriate statistical analysis, providing results in natural language and performing automatic assumption checks. 

To address the challenge, the lab simulated the effect of adding two new diagnostic machines using Minitab Simul8. The simulation determined that the current machines were not working at maximum capacity, and the bottlenecks were caused by not keeping enough “buffer stock” in the lab equipment, rather than a shortage of lab equipment. 

Results 
By identifying the true cause of the bottlenecks, the hospital avoided unnecessary purchases of additional equipment, saving roughly $45,000. Simple data analysis showed that the hospital was not keeping up with lab requests due to inefficient use of existing resources. Implementing changes based on these insights significantly reduced patient wait times for lab results, improving overall patient care, operational efficiency, and cost savings.  

- $45K saved: avoided unnecessary purchase of additional lab equipment 
- Reduced wait times: faster lab results through efficient use of existing resources 
- Improved operational efficiency: better utilization of equipment and resources without new capital investment 

Challenge 
An oil and gas company is interested in identifying patterns in variables such as corrosion rate, vibration levels, and pressure that typically precede maintenance events. This allows for early intervention, reducing unplanned downtime and preventing costly equipment failures. 

Products 
Minitab Statistical Software, Minitab Connect, Predictive Analytics Module 

Solution 
Automated machine learning in the Predictive Analytics module allows analysts to determine which conditions are likely to lead to an unplanned maintenance issue out in the field. Using Minitab Connect, important variables can be monitored in real time with alerts automatically sent when processes fall out of control. 

Results 
Predictive maintenance analytics in oil and gas can lead to multi-million-dollar annual savings, increased asset reliability, and safer, more sustainable operations. The cost of unplanned downtime is $100,000–$300,000 per hour for offshore rigs and $20,000–$50,000 per hour for onshore refining units. A predictive model preventing just one major failure can save millions annually by avoiding several hours or days of downtime. Predictive analytics can reduce maintenance costs by 20–30%, translating to $1–$3 million annually for a large refinery. Extending the life of critical assets (e.g., compressors, pumps) by even 1–2 years can save $500,000–$2 million per asset. Avoiding one major incident can prevent $10 million or more in fines, cleanup, and reputational damage.  

- $100K–$300K per hour: cost of unplanned downtime on offshore rigs 
- $20K–$50K per hour: cost of unplanned downtime on onshore refining units 
- $1M–$3M annually: maintenance cost savings for a large refinery (20–30% reduction) 
- $500K–$2M per asset: savings from extending life of critical equipment by 1–2 years 
- $10M+ avoided: fines, cleanup, and reputational damage prevented by avoiding one major incident 

Challenge 
Improving the customer experience at ATMs is known to increase usage, result in higher customer satisfaction, and improve financial performance for a bank. Analysts want to determine whether installing surrounds around the bank’s ATMs will increase their traffic. 

Products 
Minitab Statistical Software, Minitab Engage 

Solution 
Minitab Engage tracks the progress and financial benefits of continuous improvement (CI) projects throughout the organization. Minitab Assistant helps analysts determine the correct tool for analyzing ATM data and provides results in natural language for better understanding of conclusions. 

Results 
By implementing ATM surrounds, the bank achieved a measurable increase in traffic, customer satisfaction, and financial performance. Industry case studies show that ATM usage can increase by 20–30% with surrounds. For a bank operating 200 ATMs, each averaging 3,000 monthly transactions, this translates to approximately 150,000 additional transactions per month. At the 2025 average out-of-network ATM fee of $4.77 per transaction, this usage lift equates to about $715,500 in incremental fee revenue per month, or $8.6 million annually. 

In addition to new fee revenue, the shift of transactions from tellers to ATMs generates significant labor savings. If just 5% of additional ATM transactions (7,500 per month) replace teller visits, and each teller transaction costs banks an average of $4 in labor, the bank saves around $30,000 per month, or $360,000 annually. Together, these outcomes demonstrate that surrounds are not just a customer-experience improvement but also a strong financial investment, with millions in revenue growth and hundreds of thousands in cost savings each year. 

- 20%–30% increase: ATM usage uplift with surrounds 
- 150K additional transactions per month: from 200 ATMs averaging 3,000 transactions each 
- $715K per month / $8.6M annually: incremental ATM fee revenue at $4.77 per transaction 
- $30K per month / $360K annually: labor savings from teller transaction replacement