Countless businesses around the globe are rolling out new products, building out infrastructure, and fighting for market share. In these disruptive times, there is immense pressure for supply chain leaders to deliver the goods despite strong supply-side headwinds and fickle customers.
Successful demand planning requires a stable and sustainable planning process that is continuously reviewed and improved.
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?
When engaging in capacity planning, it is important to consider the product mix and seasonality of your business to ensure an effective and accurate outcome.
National Puzzle Day is January 29th. It is a day Arkieva celebrates because the ongoing challenge of smarter supply chain decisions involves supersized puzzles and games. This year we will focus on probabilistic forecasting using the board game Risk. This blog will show how Monte Carlo Simulation can be used to estimate the average number of “wins”, but critically the range of possible “wins” across some interval.
In previous “tools of the trade” blogs, the focus has been on conveying a basic understanding of core technologies critical to improving supply chain management decision making. Other blogs have focused on investing in technology. As with any investment there are risks to success. This blog focuses on the need for a small group driving technology that upsets the social order called agents of change (AOC).
Industry analysts, big-time consultants, and your peers are all talking about technology, digital transformation, and the future of the supply chain. It can seem like a lot of noise given the day-to-day pressure you feel while working to ensure that inventory is on hand and positioned where it is supposed to be. With all you have on your plate, are you aware of the signs that it is time for a change?
If one is going to forecast demand into the future, it would make sense to get as true a picture as possible. For that, starting with historical demand would be the obvious choice. Choosing this data as the basis for forecasting would ensure the best possible projection out in the future.
Having a good forecast is essential to demand planning. It ensures the right goods are produced at the right time and reach the right customers. What’s more is that demand planning is situated at the start of your supply chain, playing an integral part in a streamlined supply chain.
Subscribe and save makes planning easier. Consistent demand means less fluctuation in order volume, which makes forecasting, inventory management and scheduling more predictable.