Data Science in Supply Chain Management – Key Applications
Today, data science is altering how many industries function. To improve decisions and monitor corporate success, they rely on data . One of these sectors being changed by data science is manufacturing. It aids in cost optimization, quality improvement, scaling, and accelerating production. Industrial organizations frequently use big data and data analytics to address recurring challenges such as supply chain management problems, unplanned downtime, unscheduled maintenance, and equipment breakdowns. Additionally, this has contributed to the growth of the need for data scientists in supply chain management. Introduction Several tasks required for producing and providing goods or services to a customer are included in a supply chain. The components include logistics, inventory, raw materials, demand and supply, warehouses, freight, suppliers, distributors, retailers, etc. Managing a supply chain in the manufacturing industry can be challenging and unexpected. The cost of production, tech...