How to Select Effective Dashboard KPIs
This blog previews a webinar that discusses how to find the best data to drive your integrated business planning processes.
3 Must-have Inventory Planning Software Features
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
Rules-based Approach to Supply Planning: Matching Assets with Demand
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.
Tools of the Trade: Production Activity Alternative Views – “Starts” and “Outs”
Since the beginning of time, alternate but related views of production have existed: historically called “starts” and “outs”.
Building the ROI Case for Demand Planning
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?
Part 3: How NLP Benefits the Supply Chain – Internal Structured Data
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.
MAD versus Standard Deviation for a Uniform Distribution
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.
Relationship Between MAD and Standard Deviation for a Normally Distributed Random Variable
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.
Supply Chain Management – Autonomous is Far Away and Resiliency is Needed Now
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...