Given 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 …
Read More "Supply Chain Analytics for Decision-Making: From Data to Outcomes (Level 2)"
Existing business and management theories have largely been developed to fit Western market environment conditions. While these theories are often treated as universal, they do not always reflect the realities …
With this workshop, using only free and open-access software (R programming language), we will cover the basics of geospatial modeling: reading in geospatial datasets, cleaning geospatial datasets, and parsing them. The outcome of the workshop is being able to work with geospatial data in R, including making maps.
Supply chain disruptions are inevitable and can threaten organizational performance and continuity. Building resilience is essential, but doing so inefficiently can create unnecessary costs.This workshop provides practical frameworks to help …
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Artificial intelligence (AI) has become an integral part of supply chain practices and policy as it continues to shape and co-evolve with how supply chains operate. AI technologies take various forms and are designed and deployed for different purposes across manufacturing, transport and logistics, healthcare, agriculture, education, and other productive sectors.