Arkieva Supply Chain Link Blog.
Creating the link between better supply chain planning and decisions.
RECENT POSTS
3 Aggregation Mistakes When Reporting Forecast Accuracy
It is important to measure and improve the forecast accuracy at the right level of aggregation. If you measure at too high a level, your accuracy picture will look better than what it needs to be as the data at high (aggregated) levels is more forecastable. By contrast, at too low a level...
How to Choose the Right Demand Variance Method to Calculate Safety Stock
In today’s blog, we will share some examples to help Inventory Planners explore different methods available to calculate Demand Variance and decide which method is best suited for their products and businesses.
Sustainability in Supply Chain Planning: Waste or Revenue?
When many companies produce products, they also produce by-products. Often, they have no use for these by-products and so they are discarded or sold off as scrap. But companies that embrace sustainability do not accept this fate. Some companies have found a way to turn their waste streams into revenue streams...
Automated Forecasting
A successful demand planning process accurately forecasts demand and revenue streams, and subsequently drives the next steps in the S&OP process which are Inventory, Supply Planning, and Optimization. Therefore, it is a crucial step in an organization's S&OP process.
RCCP Versus MPS: How Are They Connected? Elixirs and the Wrong Question
A reasonable question supply chain folks often ask themselves is ‘What is the relationship between Rough Cut Capacity Planning (RCCP) and Master Production Scheduling (MPS)?’ However, this is the wrong question to ask oneself. This blog will address the transition from AS to central planning as best practices and demonstrate that with a firm’s due diligence they can make the transition successfully. This is critical for what-ifs and effective use of optimization.
The Relationship Between Forecast Accuracy and Safety Stocks
A company’s total inventory consists of many types of stock such as strategic, anticipation, safety, cycle, and unplanned. Cycle stock is most connected to the demand forecast; it is expected to be sold as the forecast becomes real demand. Safety stock on the other hand is extra stock to deal with the variability of the demand or supply. As such, it is not always linked to forecasting accuracy.
An Approach to Setting Forecast Accuracy Targets
Learn the best approach to setting forecast accuracy targets and how to set expectations for your management team.
How Forecastable is Your Data?
Having access to an accurate forecast is very beneficial for businesses. If used correctly, it can provide better margins, increase market shares, and many other positive results. At a more tactical level, it can help reduce the costs associated with meeting the customer demand and make the supply chain more efficient.
Data Science Tools of the Trade: Rolling Rounding to Handle Those Pesky Decimals
In many areas of supply chain management, analytic methods generate estimates with “pesky decimals”. The traditional method to eliminate the decimals is rounding. In this blog, we demonstrate the importance of this method and how to calculate these improved integer estimates.
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