Cogito Reliability’s Post

MTBF and MTTR are the important performance calculations of maintenance/ TPM …learn more on calculations of MTTR and MTBF. https://lnkd.in/dD_i9Uw

MTBF and MTTR are the important performance calculations of maintenance/ TPM …learn more on calculations of MTTR and MTBF. https://lnkd.in/dc2MuPz7

Designing to Worst Case can require extremely tight tolerances that may require expensive manufacturing and inspection processes to produce. This can drive up the cost of the parts, and increase scrap rates. In most cases, a statistical analysis can deliver the necessary, and reliable, results needed to design to specification while lower costs by focusing on key areas to quality. That's a bold claim, though, so how do we back it up? Know more: https://lnkd.in/gSrZwWuk #3dcs #tolerance #stackup #design #analysis #designtech

Here's a technique that I used last week that can boost your problem SOLVING in 5 minutes flat. It is called the "5 Whys" technique and is a simple yet powerful tool for root cause analysis. Here's how it can work for you: 1. Identify the Problem: Clearly state the problem you're facing. 2. Ask Why: Ask why the problem occurs. Write down the answer. 3. Ask Why Again: Take the answer from the previous step and ask why it happens. Repeat this step four more times. 4. Analyze: By the fifth "Why," you should reach the root cause of the problem. 5. Take Action: Now the most important part is taking action to solve the root cause problem which will in turn handle the rest. Example: Problem: The car won't start. Why: The battery is dead. Why: The alternator is not functioning. Why: The alternator belt is broken. Why: The alternator belt was beyond its useful life and not replaced. Why: The car maintenance schedule was not followed. Root Cause: The car maintenance schedule was not followed. Action: Implement a strict adherence to the car maintenance schedule. This technique helps ensure that the solution addresses the actual cause of the problem, rather than just its symptoms. So often we can get stuck trying to solve the symptoms of problems and get into "Why Me" mentality's vs tackling the cause. Hope this helps you as it did me!

Chapter 11 Design Of Feedback Controllers

We are excited to share insights from a recent case study! The power of functional decomposition in swiftly solving complex issues. In manufacturing, we often face challenges, and this case study delves into a component with persistent quality issues—a 15% scrap rate since inception. Traditional approaches focused on fixing flatness proved ineffective. The key takeaway? Shifting the perspective from "fixing flatness" to functional decomposition revealed the root cause. Applying multi-vari analysis, the TNSFT team traced the issue to a subtle but critical factor: data transforms. Understanding that a diameter is a data transform, not an intrinsic form, led to rethinking measurement strategies. The essence lies in causal explanations over simplistic root causes. A comprehensive strategy is crucial. Our ability to swiftly resolve technical issues stems from a unique blend of competence and strategic thinking. Let's discuss how a strategic approach can accelerate solutions for your projects. See the full case study here: https://lnkd.in/gj8YHJeK #engineering #manufacturing #automotiveindustry #consulting #problemsolving #operationalexcellence #crossoversolutions

Have you been tasked with performing FMEA work? Take a look at this blog entry to see how using JMP makes FMEAs easier and faster: https://lnkd.in/gNG3SRyt

Imagine receiving hundreds, if not thousands, of orders every day and having one hundred vehicle's 🚚 🚛 at your disposal. How would you arrange each order on a route while keeping all constraints and time windows in mind and lowering overall costs?  Vehicle Routing Problem (VRP) will be the precise question to ask for! The main objective of the VRP is to minimize distribution costs, however the amount of complexity involved when solving this problem is often underestimated🕵♂️. Back then, mathematicians applied manually calculated route optimization algorithms to find the most optimal routes for a set of vehicles. Nowadays, technology provides tremendous support in this field in the form of route optimization software 👨💻 . Challenges involved in solving the VRP: In real-life scenarios, it is not only about finding the shortest route possible. There are numerous other components that contribute to planning optimal routes. The complexity of VRP emerges when multiple constraints need to be taken into account. 1.Capacity 2.Time Windows 3.Pickup and delivery 4.Resource constrains Using advanced computing power in the form of route optimization software, is by far the best way to go. This eliminates all manual calculations and automatically generates an optimal route in seconds. In addition, it elevates the role of the planner to a more analytical one, where adjustments can be made based on expertise and experience. So, we will discuss and learn more about VRP and the software's that eliminate this problem. #VRP #Supplychain #Algorithms #learneveryday #SCM

I am delighted to share that our recent paper, titled "Robust yield test for a normal production process"  has been successfully published in the renowed 'quality engineering' journal. Please share it. This reasearch study presents a Monte Carlo simulation method to estimate the decision-making components  to test the production yield based on the yield index Spk by normal data.   Herer is the link to the article: https://lnkd.in/gSu4mkaU # testing capability # Monte Carlo simulation # outliers

We see lots and lots of articles/posts/information about Lean, TPS, TPM, TQM etc on LinkedIn. But never have I seen any talk about the powerful gems of Industrial Engineering : 1. Industrial ergonomics 2. Systems Design 3. Work sampling and std data 4. MTM techniques 5. Probability theory/Theoretical probability distribution 6. Life testing and reliability 7. Acceptance sampling 8. Analysis of variance (AOV) 9. Correlation and Regression Analysis 10. Queuing or waiting line theory 11. Simulation and Montecarlo techniques 12. Game theory 13. Transportation Problem 14. Markov Chain and Dynamic Programming 15. Linear programming 16. CPM/PERT 17. Merit Rating 18. Industrial Economics 19. Application of Network Techniques 20. O. C Curve 21. Systems Reliability 22. Management techniques and Forecasting 23. Routing and Scheduling Why?