Harish Jose

Harish Jose has more than seven years of experience in the medical device field. He is a graduate of the University of Missouri-Rolla, where he obtained a master’s degree in manufacturing engineering and published two articles. Harish is an ASQ member with multiple ASQ certifications, including Quality Engineer, Six Sigma Black Belt, and Reliability Engineer. He is a subject-matter expert in lean, data science, database programming, and industrial experiments, and publishes frequently on his blog Harish’s Notebook.

Wed, 05/11/2016 - 18:07
Cybernetics of the Systems Approach‘Sweeping-in’ explained
Mon, 11/11/2024 - 12:03
In this article, I look at the idea of “sweeping-in” in systems approach. Sweeping-in can be described as the process of opening up the inquiry of a system by expanding its boundaries. Philosopher and systems scientist C. West Churchman discussed…
Weber’s Law at the GembaOur perception of change depends on intensity
Mon, 10/21/2024 - 12:02
In this article, I’m looking at Weber’s Law. It’s named after Ernst Heinrich Weber (1795–1878), a German physician who was one of the pioneers of experimental psychology. I highly recommend the Numberphile YouTube video that explains this in detail…
Relationship Between Process Capability Index and SigmaCalculating how many standard deviations the process window can hold
Tue, 08/13/2024 - 12:02
Recently, I wrote about the process capability index and tolerance interval. Here, I’m writing about the relationship between the process capability index and sigma. The sigma number here relates to how many standard deviations the process window…
Autonomy in a Social SettingA system must be able to deal with the variety thrown at it
Tue, 07/02/2024 - 12:03
I have always been interested in the idea of autonomy in a social setting. In this article, I’m looking at autonomy in a social setting—such as an organization—from a cybernetics viewpoint. I’ll lean on the ideas of Heinz von Foerster and Stafford…
The Relationship Between Capability Index and Tolerance IntervalsWhat can it tell us about the process?
Tue, 05/07/2024 - 12:03
In this article, I’m looking at the relationship between capability index (Cpk or Ppk) and tolerance intervals. The capability index is tied to the specification limits, and tying this to the tolerance interval enables us to use the confidence/…
Using Stress/Strength Analysis to Reduce Sample SizePractical suggestions for reducing sample sizes for attribute testing
Mon, 10/16/2023 - 12:03
Today I’m looking at some practical suggestions for reducing sample sizes for attribute testing. A sample is chosen to represent a population. The sample size should be sufficient to represent the population parameters such as mean and standard…
Deriving the Success Run TheoremAny statistical statement we make should reflect our lack of knowledge
Mon, 08/28/2023 - 12:03
The success run theorem is one of the most common statistical rationales for sample sizes used for attribute data. It goes in the form of: Having zero failures out of 22 samples, we can be 90% confident that the process is at least 90% reliable (or…
OC Curve and Reliability/Confidence Sample SizesUsing OC curves to generate reliability/confidence values
Wed, 05/24/2023 - 12:03
I’m looking at a topic in statistics. I’ve had a lot of feedback on one of my earlier posts on OC curves and how one can use them to generate a reliability/confidence statement based on sample size (n), and rejects (c). I provided an Excel…
Deconstructing SystemsThere is nothing outside the text
Wed, 04/26/2023 - 12:03
I’m looking at ideas of the famous Algerian-French philosopher, Jacques Derrida, often described as a post-structuralist. His most famous idea is deconstruction, often associated with analyzing literary works. A text is presented as a coherent whole…
Being in the Ohno CircleLearning how to better ask “Why?”
Mon, 09/12/2022 - 12:03
In today’s column, I’m looking at the Ohno Circle in light of German philosopher Martin Heidegger’s ideas. I’ll try to stay away from the neologisms used by Heidegger and will only scratch the surface of his deep insights. One of the best…