Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912207412> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2912207412 abstract "Lumpy demand represents the circumstances when a demand for an item has a large proportion of periods having zero demand. This certain situation makes the time series methods might become inappropriate due to the model’s inability to capture the demand pattern. This research aims to compare several forecasting methods for lumpy demand that is represented by the demand of spare part. Three forecasting methods are chosen; Linear Exponential Smoothing (LES), Artificial Neural Network (ANN), and Bootstrap. The Mean Absolute Scaled Error (MASE) is used to measure the forecast performance. In order to gain more understanding on the effect of the forecasting method on spare parts inventory management, inventory simulation using oil and gas company’s data is then conducted. Two inventory parameters; average inventory and service level; are used to measure the performance. The result shows that ANN is found to be the best method for spare part forecasting with MASE of 0,761. From the inventory simulation, the appropriate forecasting method on spare parts inventory management is able to reduce average inventory by 11,9% and increase service level by 10,7%. This result justifies that selecting the appropriate forecasting method is one of the ways to achieve spare part inventory management’s goal." @default.
- W2912207412 created "2019-02-21" @default.
- W2912207412 creator A5011096125 @default.
- W2912207412 creator A5056307156 @default.
- W2912207412 date "2018-10-29" @default.
- W2912207412 modified "2023-10-03" @default.
- W2912207412 title "LUMPY DEMAND FORECASTING USING LINEAR EXPONENTIAL SMOOTHING, ARTIFICIAL NEURAL NETWORK, AND BOOTSTRAP" @default.
- W2912207412 doi "https://doi.org/10.28989/angkasa.v10i2.362" @default.
- W2912207412 hasPublicationYear "2018" @default.
- W2912207412 type Work @default.
- W2912207412 sameAs 2912207412 @default.
- W2912207412 citedByCount "0" @default.
- W2912207412 crossrefType "journal-article" @default.
- W2912207412 hasAuthorship W2912207412A5011096125 @default.
- W2912207412 hasAuthorship W2912207412A5056307156 @default.
- W2912207412 hasBestOaLocation W29122074121 @default.
- W2912207412 hasConcept C117938511 @default.
- W2912207412 hasConcept C124101348 @default.
- W2912207412 hasConcept C127413603 @default.
- W2912207412 hasConcept C133710760 @default.
- W2912207412 hasConcept C149782125 @default.
- W2912207412 hasConcept C150217764 @default.
- W2912207412 hasConcept C154945302 @default.
- W2912207412 hasConcept C193809577 @default.
- W2912207412 hasConcept C194648553 @default.
- W2912207412 hasConcept C21547014 @default.
- W2912207412 hasConcept C24373527 @default.
- W2912207412 hasConcept C2780009758 @default.
- W2912207412 hasConcept C3018434026 @default.
- W2912207412 hasConcept C33923547 @default.
- W2912207412 hasConcept C41008148 @default.
- W2912207412 hasConcept C42475967 @default.
- W2912207412 hasConcept C50644808 @default.
- W2912207412 hasConceptScore W2912207412C117938511 @default.
- W2912207412 hasConceptScore W2912207412C124101348 @default.
- W2912207412 hasConceptScore W2912207412C127413603 @default.
- W2912207412 hasConceptScore W2912207412C133710760 @default.
- W2912207412 hasConceptScore W2912207412C149782125 @default.
- W2912207412 hasConceptScore W2912207412C150217764 @default.
- W2912207412 hasConceptScore W2912207412C154945302 @default.
- W2912207412 hasConceptScore W2912207412C193809577 @default.
- W2912207412 hasConceptScore W2912207412C194648553 @default.
- W2912207412 hasConceptScore W2912207412C21547014 @default.
- W2912207412 hasConceptScore W2912207412C24373527 @default.
- W2912207412 hasConceptScore W2912207412C2780009758 @default.
- W2912207412 hasConceptScore W2912207412C3018434026 @default.
- W2912207412 hasConceptScore W2912207412C33923547 @default.
- W2912207412 hasConceptScore W2912207412C41008148 @default.
- W2912207412 hasConceptScore W2912207412C42475967 @default.
- W2912207412 hasConceptScore W2912207412C50644808 @default.
- W2912207412 hasLocation W29122074121 @default.
- W2912207412 hasOpenAccess W2912207412 @default.
- W2912207412 hasPrimaryLocation W29122074121 @default.
- W2912207412 hasRelatedWork W1498274409 @default.
- W2912207412 hasRelatedWork W186623254 @default.
- W2912207412 hasRelatedWork W1980427163 @default.
- W2912207412 hasRelatedWork W2025781340 @default.
- W2912207412 hasRelatedWork W2030155757 @default.
- W2912207412 hasRelatedWork W2069127903 @default.
- W2912207412 hasRelatedWork W2125066969 @default.
- W2912207412 hasRelatedWork W2129242671 @default.
- W2912207412 hasRelatedWork W2146183002 @default.
- W2912207412 hasRelatedWork W2296212388 @default.
- W2912207412 hasRelatedWork W2370794667 @default.
- W2912207412 hasRelatedWork W2610386536 @default.
- W2912207412 hasRelatedWork W2888944292 @default.
- W2912207412 hasRelatedWork W2913683536 @default.
- W2912207412 hasRelatedWork W2963862288 @default.
- W2912207412 hasRelatedWork W3106767841 @default.
- W2912207412 hasRelatedWork W3181277810 @default.
- W2912207412 hasRelatedWork W2154498150 @default.
- W2912207412 hasRelatedWork W2276092646 @default.
- W2912207412 hasRelatedWork W2865326166 @default.
- W2912207412 isParatext "false" @default.
- W2912207412 isRetracted "false" @default.
- W2912207412 magId "2912207412" @default.
- W2912207412 workType "article" @default.