Supply Chain Management I

Thèmes abordés

supply chain management, SILOG, EOQ model, linear regression

Résumé du document

For introducing this seminar on the supply chain management, we started by watching a short video showing the assembly of an Airbus plane within the manufacturing plant of Toulouse. Regarding the content of the video, we cannot deny that an Airbus plane is made from different parts coming from various supplying countries that are specialized in their most competent areas of technology. Indeed, France, Germany, Italy, etc. take part to a technological cooperation to build the most reliable plane...

Extraits

[...] In the EOQ model the key parameters to calculate the optimal size of an order are K (order cost) and h (holding cost). If we were to use this EOQ model in SILOG, could you identify in the SILOG data the value of these parameters? The value of these parameters can be identified in the SILOG data. Indeed, which is defined as the order cost composed of raw materials or transportation costs for example, is equal to the production price multiplied by the number of products manufactured in SILOG. [...]

[...] Compare your results with the actual average demand your team faced in SILOG What did you learn from our introductory video about Airbus and the following discussion we had? For introducing this seminar on the supply chain management, we started by watching a short video showing the assembly of an Airbus plane within the manufacturing plant of Toulouse. Regarding the content of the video, we cannot deny that an Airbus plane is made from different parts coming from various supplying countries that are specialized in their most competent areas of technology. Indeed, France, Germany, Italy, etc. take part to a technological cooperation to build the most reliable plane. [...]

[...] It is the cost of warehouse rentals and detention. Undeniably, we were not able to calculate immediately all these costs because they were actually not present in SILOG but we can have a good appreciation of them with SILOG data. Using the historical demand data of the SILOG and the methodology of linear regression, do a forecast for the weeks 1 to 5. Compare your results with the actual average demand your team faced in SILOG. Regarding the historical demand data of the SILOG, we can draw the following chart with Excel: Using the methodology of linear regression, we obtain the following data: Actually, I was a member of Team 3 and we did not really realized such a forecast in order to study demand. [...]