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Volumn 112, Issue 2, 2008, Pages 885-894

Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance

Author keywords

Forecasting; Intermittent demand; Inventory control; Low consumption; Short history.

Indexed keywords

FORECASTING; INDUSTRIAL ECONOMICS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

EID: 39649106322     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2007.07.008     Document Type: Article
Times cited : (39)

References (26)
  • 4
    • 0142045945 scopus 로고    scopus 로고
    • Comparison of seasonal estimation methods in multi-item short-term forecasting
    • Bunn D.W., and Vassilopoulos A.I. Comparison of seasonal estimation methods in multi-item short-term forecasting. International Journal of Forecasting 15 (1999) 431-443
    • (1999) International Journal of Forecasting , vol.15 , pp. 431-443
    • Bunn, D.W.1    Vassilopoulos, A.I.2
  • 5
    • 0004221145 scopus 로고    scopus 로고
    • Chapman & Hall/CRC Press, London/Boca Raton, FL
    • Collet D. Modeling Binary Data (2002), Chapman & Hall/CRC Press, London/Boca Raton, FL
    • (2002) Modeling Binary Data
    • Collet, D.1
  • 10
    • 34548397569 scopus 로고    scopus 로고
    • On the performance of binomial and beta-binomial models of demand forecasting for multiple slow-moving inventory items
    • Dolgui A., and Pashkevich M. On the performance of binomial and beta-binomial models of demand forecasting for multiple slow-moving inventory items. Computers & Operations Research 35 3 (2008) 893-905
    • (2008) Computers & Operations Research , vol.35 , Issue.3 , pp. 893-905
    • Dolgui, A.1    Pashkevich, M.2
  • 13
    • 0032279421 scopus 로고    scopus 로고
    • Grange, F., 1998. Challenges in modeling demand for inventory optimization of slow-moving items. In: Proceedings of the 1998 Winter Simulation Conference, pp. 1211-1217.
    • Grange, F., 1998. Challenges in modeling demand for inventory optimization of slow-moving items. In: Proceedings of the 1998 Winter Simulation Conference, pp. 1211-1217.
  • 15
    • 0031139519 scopus 로고    scopus 로고
    • Applying Bayesian methodology with a uniform prior to the single period inventory model
    • Hill R.M. Applying Bayesian methodology with a uniform prior to the single period inventory model. European Journal of Operational Research 98 (1997) 555-562
    • (1997) European Journal of Operational Research , vol.98 , pp. 555-562
    • Hill, R.M.1
  • 18
    • 0024662327 scopus 로고
    • A new adaptive algorithm for determination of stocks in spare parts inventory systems
    • Petrovic R., Senborn A., and Vujosevic M. A new adaptive algorithm for determination of stocks in spare parts inventory systems. Engineering Costs and Production Economics 15 (1989) 405-410
    • (1989) Engineering Costs and Production Economics , vol.15 , pp. 405-410
    • Petrovic, R.1    Senborn, A.2    Vujosevic, M.3
  • 19
    • 0000998196 scopus 로고
    • Bayes solutions of the statistical inventory problem
    • Scarf H. Bayes solutions of the statistical inventory problem. Annals of Mathematical Statistics 30 (1959) 490-508
    • (1959) Annals of Mathematical Statistics , vol.30 , pp. 490-508
    • Scarf, H.1
  • 20
    • 1242331649 scopus 로고
    • Bayesian determination of the reorder point of a slow moving item
    • Silver E. Bayesian determination of the reorder point of a slow moving item. Operations Research 13 (1965) 989-997
    • (1965) Operations Research , vol.13 , pp. 989-997
    • Silver, E.1
  • 25
    • 4344688270 scopus 로고    scopus 로고
    • A new approach to forecasting intermittent demand for service parts inventories
    • Willemain T.R., Smart C.N., and Schwarz H.F. A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting 20 (2004) 375-387
    • (2004) International Journal of Forecasting , vol.20 , pp. 375-387
    • Willemain, T.R.1    Smart, C.N.2    Schwarz, H.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.