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Glossary

Оглавление

ADIDAaggregate–disaggregate intermittent demand approachAICAkaike information criterionARautoregressiveARIMAautoregressive integrated moving averageARMAautoregressive moving averageAPEabsolute percentage errorBObackorderBoMbill of materialsBSBrier scoreCDFcumulative distribution functionCFEcumulative forecast errorCSLcycle service level (all replenishment cycles)cycle service level (replenishment cycles with some demand)CVcoefficient of variationEDFempirical distribution functionERPenterprise resource planningFMECAfailure mode, effects, and criticality analysisFRfill rateFSSforecast support systemFVAforecast value addedHEShyperbolic exponential smoothingINARinteger autoregressiveINARMAinteger autoregressive moving averageINMAinteger moving averageIPinventory positionKSKolmogorov–Smirnov (test)LTDlead‐time demandMAmoving averageMADmean absolute deviationMAEmean absolute errorMAPEmean absolute percentage errorMAPEFFmean absolute percentage error from forecastMASEmean absolute scaled errorMEmean errorMMSEminimum mean square errorMPEmean percentage errorMPSmaster production scheduleMROmaintenance, repair, and operationsMRPmaterial requirements planningMSEmean square errorMSOEmultiple source of errorMTOmake to orderMTSmake to stockNBDnegative binomial distributionNNneural networkNOBnon‐overlapping blocksOBoverlapping blocksOUTorder up toPISperiods in stockPITprobability integral transformRMSEroot mean square errorrPITrandomised probability integral transformS&OPsales and operations planningSBASyntetos–Boylan Approximation (method)SBCSyntetos–Boylan–Croston (classification)SCMsupply chain managementSESsingle (or simple) exponential smoothingSKUstock keeping unitSLAservice level agreementSMAsimple moving averagesMAPEsymmetric mean absolute percentage errorsMSEscaled mean square errorSOHstock on handSOOstock on orderSSOEsingle source of errorTSBTeunter–Syntetos–Babai (method)VZViswanathan–Zhou (method)WMHWright Modified Holt (method)WSSWillemain–Smart–Schwarz (method)

Intermittent Demand Forecasting

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