Taking the time to perform what-if analyses on a regular basis with real and speculative events, gives planners tremendous insight into what parts of the supply chain are most sensitive to changes. As a result, planners will have a sense of what is a big deal and what is not. And when a crisis happens, they’ll feel confident in their ability to respond.
Picking up from where I left off in my previous blog, I will look at a few more scenarios in both short and long terms in this blog. Even though Brexit is the theme for these scenarios, the underlying principles apply to any situation with uncertainty in supply planning.
In my previous blog, I addressed how what-if analysis can help supply chains when faced with uncertainty. This blog is an attempt to delve into some specific what-if scenarios that could arise due to Brexit.
US and China have been at the forefront of a tariff battle that’s been going on for close to a year and a half now. Given the economic might of these two nations, the tariffs by both sides have not only affected them but have also had a domino effect on several other countries across continents.
Over the past few months, we’ve been running simulation tests on different demand forecasting methods: Winter’s additive & multiplicative, seasonal and robust seasonal. Then, we used MAPE to determine the forecast accuracy for each method. Here’s what we found.
In the previous What-if Wednesday posts, we experimented with the three parameters of the Holt-Winters Multiplicative method, namely; alpha, beta, and gamma. This time we are going to run similar tests by adjusting damping factor for the Winters Multiplicative method.
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 gamma multiplicative forecast parameter of the Winters forecasting method.
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.
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.
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.
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.
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