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City of London Water: Predicting Electricity Prices and Optimizing Operations
Ernesto Arandia; Joe Naoum-Sawaya; Kira Wembo XueCase IVEY-9B19E004-EDecision AnalysisThe manager of Water Operations at the City of London wanted to reduce the cost of pumping water by optimizing energy use. Water Operations had been consistently experiencing higher operational costs, and electricity bills accounted for up to 30 per cent of its direct costs. If the manager could predict the future cost of energy, she could schedule the operation of the water pumps to benefit from periods of low energy prices, potentially saving u...Starting at €8.20
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Warehousing Enhancements for E-Commerce Growth
Juri Zguri; Fatma Gzara; Joe Naoum-SawayaCase IVEY-9B20E006-EDecision AnalysisAs an e-commerce logistics manager at the national grocery store chain TrixMag, Jim Vector was continually seeking efficiency improvements in the company’s supply chain. Following positive trends in the online grocery segment, Vector was specifically explStarting at €8.20