Every supply chain planner’s goal is to provide the highest degree of customer service while reducing inventory in the supply chain network. High customer service translates to more business for the organization, and low inventory costs mean increased working capital. Supply chain planners may struggle to balance both, but good inventory planning software would help
In any supply chain, matching the supply assets to the demand in a consistent, reliable, and profitable manner is a key requirement. This blog discusses how to create supply plans based on a sequence of rules that makes the decision-making process fast, effective, and intuitive.
Since the beginning of time, alternate but related views of production have existed: historically called “starts” and “outs”.
Businesses spend a lot of time and money in improving their demand planning. However, the ROI is not always forthcoming. How much is a 1% improvement in forecast accuracy worth to the business?
This blog discusses how utilizing a semantic parsing method can help a less experienced user transform their data questions into advanced database queries, and how it can help detect errors in datasets.
Part 2: How Natural Language Processing (NLP) Can Benefit the Supply Chain – Internal Unstructured Data
We know how to deal with structured data but working with unstructured data might be a bit more time consuming and challenging. There are multiple solutions that NLP offers to transform your unstructured enterprise data to structured data.
In my last post, I talked about the relationship between the mean absolute deviation (MAD) and standard deviation (STDEV) for a normal distribution. Apparently, many people had never seen the math behind it, and I got questions about the same relationship for the case where the demand was not normally distributed.
A colleague and I were talking recently, and the conversation turned to what is the relationship between Mean Absolute Deviation (MAD) and the Standard Deviation (STDEV). In this post, I will explain to you the math behind that approximation, which by the way, only applies to normal distributions.
Over the past few years, the chatter about the role of AI to “optimize” supply chain has been almost endless. Some of the material is great, other is hype, some conjecture, and in most cases, we will not know the impact...
The risk of viruses is often a topic of conversation in current times. One of the dominant questions at social gatherings is - what is a bigger risk (defined as serious illness) this fall and winter: regular virus (REGVIR) or COVID-19...