Agent-Based Model을 활용한 자동차 예비부품 장기수요예측
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이상욱 | - |
dc.contributor.author | 하정훈 | - |
dc.date.available | 2020-07-10T07:41:43Z | - |
dc.date.created | 2020-07-06 | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 2005-0461 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/10937 | - |
dc.description.abstract | Spare part management is very important to products that have large number of parts and long lifecycle such as automobile and aircraft. Supply chain must support immediate procurement for repair. However, it is not easy to handle spare parts efficiently due to huge stock keeping units. Qualified forecasting is the basis for the supply chain to achieve the goal. In this paper, we propose an agent based modeling approach that can deal with various factors simultaneously without mathematical modeling. Simulation results show that the proposed method is reasonable to describe demand generation process, and consequently, to forecast demand of spare parts in long-term perspective. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국산업경영시스템학회 | - |
dc.title | Agent-Based Model을 활용한 자동차 예비부품 장기수요예측 | - |
dc.title.alternative | Long-Term Demand Forecasting Using Agent-Based Model : Application on Automotive Spare Parts | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 하정훈 | - |
dc.identifier.bibliographicCitation | 한국산업경영시스템학회지, v.38, no.1, pp.110 - 117 | - |
dc.relation.isPartOf | 한국산업경영시스템학회지 | - |
dc.citation.title | 한국산업경영시스템학회지 | - |
dc.citation.volume | 38 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 110 | - |
dc.citation.endPage | 117 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001975666 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Agent Based Modeling | - |
dc.subject.keywordAuthor | Long-Term Forecasting | - |
dc.subject.keywordAuthor | Spare Part Management | - |
dc.subject.keywordAuthor | Failure Rate | - |
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