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Lean: 5S Methodology

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Before my mom left for work, she assigned various chores to me and my siblings. She wanted a nice clean house to return to after a long day of work. From these childhood chores, I learned good habits for maintaining cleanliness. A clean space not only looks nice, but makes everyday life easier: With the floors clear, you don’t worry about tripping over things With the tables clear, you don’t worry about knocking things over With the valuables in a special area, you don’t worry about losing them We’re all capable of great things, but we let distractions waste our time and focus. I’ve leafed through various self-help books and they all advice contemplating on what is truly important in our lives. After cutting out all the useless noise, we can focus on the important matters The common advice for improving work efficiency is having a clean work station, because a clear environment is a clear mind. If we know exactly where our tools and resources are, it becomes one less factor to consider...
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6S DMAIC: Measure

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After we define the problem, we need evidence to support that it wasn’t just a freak accident. If odds are that it’ll never happen again, we won’t need to anything, right? In daily life, we are conditioned by habit; in diet, sleep, work, stress, and so on. When something unusual happens, it raises alarms that something might be wrong. In manufacturing engineering, data can be tracked using Statistical Process Control (SPC). Operators and equipment records process data of test, measurement, and yield. When the process is automated, a large database of “normal” data can be determined. Once a baseline is established, there are still allowable tolerances that are expected from noise and variation. An example SPC chart. When data exceeds the UCL (3 sigma above mean), there needs to be action! As expected from Six Sigma: any data point that crosses beyond the Lower Control Limit (LCL) or Upper Control Limit (UCL) should be measured. With these deviations compared against a long history of da...
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Asia Trip Overview

Table of content for all of the days. On the bottom of each are the links to a gallery of pics and videos. China Day 0: Flight to HK (12/18/17) Day 1: Arrival to Chengdu (12/19/17) Day 2: New Chengdu (12/20/17) Day 3: Old Chengdu (12/21/17) Day 4: Jiajiang County (12/22/17) Day 5: 1,000 Buddhas (12/23/17) Japan Day 6: Go to Tokyo (12/24/17) Day 7: Tsukiji Market and a Tokyo Christmas (12/25/17) Day 8: Osaka for Kobe Beef (12/26/17) Day 9: Back 2 Tokyo (12/27/17) Day 10: Akihabara and Asakusa (12/28/17) Day 11: Sayonara, Japan-san (12/29/17) China 2 Day 12: Day of Rest (12/30/17) Day 13: Return to Jiajiang (12/31/17) Day 14: Tian Fu Square (1/1/18) Day 15: 2 Old 2 New (1/2/18) Day 16: Pandas (1/3/18) Day 17: Chill and Eat (1/4/18) Day 18: Chinese Fried Chicken (1/5/18) Day 19: Baby Dumpling (1/6/18) Day 20: One Last Hot Pot (1/7/18) Day 21: Fly Home (1/8/1/8)
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