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operations flexibility in process industries - Roland Berger Strategy ...

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2A consumer goods producer uses a mixture of measures to dealwith volatile demandInterview example: Consumer <strong>in</strong>dustrySITUATION/CHALLENGEVolatile demand pattern …DemandTime… that is relatively predictableDemandTimeScenariosSOLUTIONClosecooperationwith thecustomerFlexiblemach<strong>in</strong>e parkandproductioncontrolHR-Managementmeasures• Studies on market development and trends on aregular basis• For selected products customer forecast on weeklybases• For selected products only make-to-order• Flexible mach<strong>in</strong>ery• Set up APS to get overview on global [?] capacity• Nearly no change over times and nearly no yield lossesdur<strong>in</strong>g change-over• Flexible ma<strong>in</strong>tenance contracts with service provider(ma<strong>in</strong>tenance dur<strong>in</strong>g time of low demand• Flex-time/work<strong>in</strong>g hours account• Job shar<strong>in</strong>g (partly hob <strong>in</strong> production/partlyadm<strong>in</strong>istration)• Usage part time employees (5-20%) depend<strong>in</strong>g onproduction l<strong>in</strong>e to face huge volatilities <strong>in</strong> demand• Very "flexible" workers (e.g. students) for high peaks(up to 10%) "Hausfrauenschicht"Source: <strong>Roland</strong> <strong>Berger</strong> <strong>in</strong>terviews, 200832Airbus<strong>in</strong>terview

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