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Language: English
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 SÜDZUCKER: Swift prediction of best production and distribution plans leads to reduction in supply chain network costs
Based in Mannheim, Germany, Suedzucker AG is a producer of sugar and agriculture-based products such as functional food, starch and bakery additives as well as fruit products and bioethanol. Business need: The company needed a technology solution that could provide detailed analysis of all trade-offs and options to create a cost-efficient, flexible supply chain network across Europe. Solution: The solution helps the company analyze trade-offs between production, warehousing, transportation costs and service requirements, and identify optimal network configuration for different cost and service objectives within just a few hours, not weeks. Benefits: Expected to reduce supply chain network costs by 10 percent read the full case study >>
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