DDMRP implementation in Automotive Industry CONTEXT An industrial company that designs, manufactures, and sells tires for every type of vehicle, including airplanes, automobiles, bicycles, earthmovers, farm equipment, heavy-duty trucks, and motorcycles. The company has 69 manufacturing sites & 130 retail
The survivor bias applied to DDMRP projects. First, let’s recall what survivor bias is: Survivor bias is a selection bias. It consists of overestimating the effectiveness of a method by focusing on those who used the method successfully…. (and ignoring
Last article in our series on the use of visual management according to our FLOW Project Management methodology. If you first want to (re) read the previous articles, click the following links: Analytical gain of the Fever Chart: Introduction Distribute
In this series of articles intended for visual management according to our FLOW Project Management approach, we will see how the use of fever charts can help you detect and implement continuous improvement actions. If you want to (re) read
The DDMRP model is based on the use of buffers that adapt to changes in demand or in the production environment. This adaptation comes mainly from the regular updating of the parameters that govern the size of the buffers. However,
Today, we will see how we can use the fever chart to remake the project’s history. Let’s continue our series of article devoted to visual management, associated with our FLOW Project Management approach, and focus on the project’s history. If
In this series of articles devoted to visual management in project management, today we will discuss how to use the fever chart to manage a project portfolio. Talking about visual management … Let’s take the graph below and see what
If we have often had the opportunity to recall here the strong dynamics of innovation that reigns at AGILEA (cf. AGIRE joint research lab), we have rarely spoken of those who do. Those who think beyond the current practices and
If you are working in supply chain management, you know planning management could be a nightmare. Supply or demand planning in our supply chain scheduling process is complex. We can see multiple planning within one week due to changes from
“Google, what is the best inventory management software?” “Hey, Siri, what is a Demand-Driven Supply Chain?” Suppose you are like me; you embark on the exercise of doing an internet search to find the best fit for your Supply Chain
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