Essential Concepts for Successful Responsiveness: Planning versus Scheduling Basics
Understanding the difference between planning and scheduling basics will help achieve responsiveness which is increasingly important in the ever-changing world.
Understanding the difference between planning and scheduling basics will help achieve responsiveness which is increasingly important in the ever-changing world.
We are excited to announce that we are rebranding Arkieva to fuel growth, strengthen our position in the market, and continue to be a recognized leader in the supply chain industry. Over the past few years, we have been relentlessly focused on solving the most complex planning challenges through simple, intuitive, end-to-end solutions leveraging our best-in-class data scientists, software developers, and supply chain optimization consultants.
Though social media could drive up the brand of a company, it can also cause big disruptions in the supply chain operations of a company. A great example that happened recently is where Popeyes Louisiana Kitchen chain ran completely out of chicken sandwiches.
What is Demand Forecasting? Demand Forecasting is the process in which the historical sales data is used to develop an estimate of expected forecast of customer demand.
Use this simple tool for identifying areas of potential improvement in the business to create an effective inventory management process. This type of measurement allows for a more widespread understanding of the nature of inventory and fosters action to prevent a build-up of non-value-adding "drag".
As a local Philadelphia business, we are so excited about the Eagles making it to the Super Bowl this year, we decided to track the excitement level of people leading up to the event by using our Social Sentiment Analysis Tool.
Now and then, we hear about horrific fast food restaurant stories where an “unwanted extra ingredient” is found. While we may be quick to blame the serving fast food restaurant for the mishap, the supply chain of fast foods is often complicated. When we stop by our favorite fast food restaurant to grab a quick bite, we often don’t think about the process that goes into assembling our combo meal.
While reading a wonderful article titled “Linear Thinking in a Non-Linear World – the obvious choice is often wrong” in the May-June 2017 issue of Harvard Business Review, I was immediately transferred back to the early 1980’s and theme of the IBM Advanced Industrial Engineering department – “only the model knows.”