Suggested Summer Reading from Arkieva
It’s the midpoint of summer and a good time to catch up on “summer reading”. For us at Arkieva, that means digging into industry reports and predictions. Here are a few articles that recently caught our eye.
Demand Patterns Inside a Period
Demand forecasting is often done in planning buckets such as months or weeks. But what about the pattern of demand inside a period? Whatever pattern it is, a demand planner should strive to understand it.
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.
Which Came First: Supply Chain Woes or the Recession?
The next recession is at our doorsteps. Let’s discuss what we can do to rise to the latest challenge.
Seen and Heard at the 2022 Gartner Supply Chain Symposium | Xpo
The Gartner Supply Chain Symposium 2022 was filled with insights, actionable strategies, trends and more. Here we cover a few highlights.
7 Must-Attend Sessions at the 2022 Gartner Supply Chain Symposium | Xpo
This year’s recommended sessions range from executive leadership to lessons learned to simply getting the most out of the most recent Gartner Magic Quadrant for Supply Chain Planning.
The ROI of Inventory Reduction
A lot of projects propose to deliver ROI through lower levels of inventory. Servicing the demand at desired service levels with lower inventory should save the company some money. But how, exactly?
FAQs: Digging into the Arkieva Virtual Mailbag
We’ve spoken to a lot of people over the years. Here are the answers to some of our most commonly asked questions.
5 Steps to a Global Collaborative Demand Planning Process
Every business can benefit from having a proper demand plan. A pivotal part in this process is collaboration.
The Hippocratic Oath for Forecasters
Is there an equivalent to the Hippocratic Oath for forecasters? What harm(s) can a forecaster easily avoid? This blog explores some examples.
