Abstract:
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Supply Chain Planning is a complex endeavour, and in most cases requires support in the form of supply chain planning software. In order to devise possible plans, supply chain planning software requires knowledge about the business process. Historically, this requirement was addressed by interviewing domain experts, and obtaining the required knowledge via a process of knowledge elicitation. Nowadays, most companies are well aware of the value of the data that flows through their supply chain, and large amounts of data are therefore captured and logged. By combining this historical data with current machine learning technology, knowledge can be automatically extracted from the data, giving rise to Supply Chain Analytics. In this presentation, we highlight several forms and applications of Supply Chain Analytics, and include examples from Quintiq’s business practice in this rapidly developing new domain. Biography:
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