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PRODID:-//Centre for Applied Research and Innovation in Supply Chain - Africa - ECPv5.7.0//NONSGML v1.0//EN
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X-WR-CALNAME:Centre for Applied Research and Innovation in Supply Chain - Africa
X-ORIGINAL-URL:https://carisca.knust.edu.gh
X-WR-CALDESC:Events for Centre for Applied Research and Innovation in Supply Chain - Africa
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TZOFFSETFROM:+0000
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DTSTART:20230101T000000
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DTSTART;VALUE=DATE:20230524
DTEND;VALUE=DATE:20230527
DTSTAMP:20260405T201011
CREATED:20230421T182638Z
LAST-MODIFIED:20230421T182638Z
UID:15859-1684886400-1685145599@carisca.knust.edu.gh
SUMMARY:Supply Chain Analytics
DESCRIPTION:  \n \nGiven the importance of the supply chain to organizations across the globe\, businesses are looking for opportunities to make processes faster\, cheaper and easier as materials move from the point of origin to the point of consumption. Supply chains involve many different activities\, people and organizations\, which produce a vast amount of information. This overwhelming amount of data has to be processed and converted into forms that influence key decisions and lead to better results. Supply chain analytics uses data analytical tools to manage and improve supply chain functions\, such as demand planning\, order processing and inventory control\, and risk management. This workshop will build the capacity of supply chain practitioners and service providers in both the public and private sectors in Sub-Saharan Africa\, to use big data to support supply chain management decisions. \nWhat will you learn?\nIn this workshop\, you will apply various techniques to analyze\, model and visualize several aspects of operations\, procurement\, logistics and supply chain. Additionally\, you will model various supply chain analytics on dashboards to solve industry-related problems. You will use analytical platforms and tools such as Microsoft Power BI\, Python and R Studio to model the various supply chain analytics.
URL:https://carisca.knust.edu.gh/event/supply-chain-analytics/
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