Remove null
article thumbnail

Five Ways to Fix Statistics in Supply Chain Research

SCM Research

2) Abandon statistical significance : Academia seems to like “statistical significance”, but P value thresholds are too often abused to decide between “effect” (favored hypothesis) and “no effect” (null hypothesis). (3) So, we need to prevent cognitive mistakes. (2)

Research 293
article thumbnail

How to Achieve a More Sustainable and Environment Friendly Supply Chain!

Supply Chain Game Changer

So, no matter how sustainable the rest of your supply chain is, this one act alone is enough to make all your efforts null and void. Dumping toxic waste into water bodies has been a wrong and neglectful way of dealing with such hazardous materials.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

6 Essential Provisions in a Supply Chain Contract!

Supply Chain Game Changer

Your supply chain contract might as well be null and void if it doesn’t set out start and end dates. Furthermore, it can help maximize the supply chain’s value to your brand. Below are essential provisions you should indicate in your supply chain contract. Duration Of The Contract.

article thumbnail

Sales & Operations Execution (S&OE) vs. S&OP

ToolsGroup

He concludes, “Whenever work deviates from standard process, standard cost assumptions become null and void. Most importantly, it establishes a means to better control the costs and impact the business profitability.”.

S&OP 120
article thumbnail

Report Confidence Intervals and Effect Sizes, not p Values!

SCM Research

.” SMJ will also require authors to “explicitly discuss and interpret effect sizes of relevant estimated coefficients” It might well be that we are currently observing the beginning of the end of null-hypothesis statistical tests.

Report 110
article thumbnail

Confessions of an Industrial Data Scientist: What Your Corporate Data Science Team Won’t Tell You About Your Data Quality

ThroughPut

Most data scientists can be an impatient bunch that will filter (most often just throw away) the outliers and drop all rows with missing or nonsensical (null) values. Confession # 2: Secondly, this excuse of “GIGO” is often self-inflicted.

Data 40
article thumbnail

Sales & Operations Execution (S&OE) vs.S&OP

ToolsGroup

He concludes, “Whenever work deviates from standard process, standard cost assumptions become null and void. Most importantly, it establishes a means to better control the costs and impact the business profitability.”

S&OP 156