In this week’s What-if Wednesday post, Arkieva Supply Chain Optimization Consultant – Abhishek Shah – shares the results of a what-if demand forecast simulation using the Winters multiplicative beta parameter.
What demand planning lessons can we learn from the recent United Airlines Overbooking Issue?
We all love spreadsheets. But when do you know when you’ve pushed your Excel spreadsheet to the limits? In this week’s, Supply Chain Talk, Arkieva CEO Harpal Singh discusses the telltale signs that show when you are pushing the limits of Excel.
In this week's What-if Wednesday post, Arkieva Supply Chain Optimization Consultant - Abhishek Shah - shares the results of a what-if demand forecast simulation using the Winters multiplicative alpha parameter.
How do you get the sense of what works for demand planning? Market volatilities including changes in the weather can affect any business at any given time. As such, businesses cannot rely on their history alone without considering the full picture of possible market changes. When these changes occur, businesses should be ready to adapt without causing a disruption in existing business processes. So how to do you get to the point where you get a sense of what works when it comes to demand planning?
In the previous What-if Wednesday previous posts, we experimented with the three parameters of Holt-Winters method, namely; alpha, beta, and gamma. This week we are going to run some tests with the damping factor.
How can operations and finance better collaborate to achieve the common goal of profitability? In this week's Supply Chain Talk, Arkieva CEO Harpal Singh discusses ways that manufacturers can reduce the disconnect between operations and finance.
Seasonality forecast simulation: what is the effect of changing the gamma parameter in Holt-Winters forecasting method?
In our previous blog, we experimented with Alpha - the intercept parameter of the Holt-Winters method - to see how the forecast gets affected as the weight changes. This week we are going to run similar tests with Beta, the trend parameter. Learn how you can use your recent sales trends to improve future forecasts.
![[Infographic] Forecast Improvement Steps: Simulate, Measure, Refine](https://arkieva.com/wp-content/uploads/forecast-improvement-steps-infographic-1-720x542.jpg)
The forecasting process in demand planning sets the stage for all other planning activities including bill of material (BOM) and finished goods inventory optimization. Demand forecasts can also affect perfect order fulfillment rates, customer satisfaction and ultimately bottom line results.
In webinar on B2B Demand Sensing, we discuss practical examples of how upstream manufacturers are using B2B Demand sensing to reduce inventory costs and identify additional sales opportunities.
From time to time, clients ask me about the effect of changing a parameter of a forecasting method. Recently, I got the idea of creating a series of blog posts where I would simulate the results of tweaking these parameters. Join me as we unpack a couple simple ways to improve your forecasts.
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