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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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Serviteléfono S.A.
Labayen T. E.; Baucells Alibés, ManelCase AD-276-EDecision Analysis, EconomicsA 24/7 call center operated by a firm providing high-tech services by means of cellular phones has to allocate operators to shifts in such a way as to minimize costs. The firm runs on small profit margins, so saving a few percent through good scheduling can make an enormous difference in terms of profitability. In doing so, the firm has to make sure that the day is covered and the regulations concerning working time are met. The assignment can be...Starting at €8.20
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City of London Water: Predicting Electricity Prices and Optimizing Operations - Teaching Note
Kira Wembo Xue; Ernesto Arandia; Joe Naoum-SawayaTeaching Note IVEY-8B19E004-EDecision AnalysisTeaching note for product 9B19E004.Starting at €0.00
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Serviteléfono S.A.
Labayen T. E.; Baucells Alibés, ManelCase AD-276Decision Analysis, EconomicsUn «call center» de una empresa dedicada a ofrecer servicios de información de alto valor añadido mediante telefonía móvil, 24 horas al día 7 días a la semana, tiene que distribuir a los operadores por turnos para minimizar sus costes. Los beneficios marginales de la empresa son bajos, por tanto, el ahorro de unos porcentajes mediante un buen «planning» puede representar una gran diferencia desde el punto de vista de la rentabilidad. Por ello, la...Starting at €8.20