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Volumn 2, Issue 2, 2011, Pages 431-438

An artificial neural network model for optimization of finished goods inventory

Author keywords

Artificial neural network; Finished goods inventory; Inventory model; Lot sizing; Optimization

Indexed keywords


EID: 84871323101     PISSN: 19232926     EISSN: 19232934     Source Type: Journal    
DOI: 10.5267/j.ijiec.2011.01.005     Document Type: Article
Times cited : (26)

References (15)
  • 2
    • 2642535091 scopus 로고    scopus 로고
    • An application of fuzzy sets theory to the EOQ model with imperfect quality items
    • Chang, H. C., (2004). An application of fuzzy sets theory to the EOQ model with imperfect quality items. Computers & Operations Research, 31, 2079-2092.
    • (2004) Computers & Operations Research , vol.31 , pp. 2079-2092
    • Chang, H.C.1
  • 3
    • 0036604737 scopus 로고    scopus 로고
    • Estimation of all-terminal network reliability using an artificial neural network
    • Chat, S., Konak, A., & Smith, A. E., (2002). Estimation of all-terminal network reliability using an artificial neural network. Computers and Operations Research, 29, 849-868.
    • (2002) Computers and Operations Research , vol.29 , pp. 849-868
    • Chat, S.1    Konak, A.2    Smith, A.E.3
  • 4
    • 0142090745 scopus 로고    scopus 로고
    • Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging
    • Chiu, Y. P., (2003). Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging, Engineering Optimization, 35(4), 427-437.
    • (2003) Engineering Optimization , vol.35 , Issue.4 , pp. 427-437
    • Chiu, Y.P.1
  • 8
    • 56749178304 scopus 로고    scopus 로고
    • Using an artificial neural network prediction model to optimize work-in-process inventory level for wafer fabrication
    • Lin, Y. H., Shie, J. R., and Tsai, C. H., (2009). Using an artificial neural network prediction model to optimize work-in-process inventory level for wafer fabrication. Expert Systems with Applications, 36, 3421-3427.
    • (2009) Expert Systems With Applications , vol.36 , pp. 3421-3427
    • Lin, Y.H.1    Shie, J.R.2    Tsai, C.H.3
  • 9
    • 0034165480 scopus 로고    scopus 로고
    • A neural network model for solving the lot sizing Problem
    • Lotfi, K. G., & Choueiki, M. H., (2000). A neural network model for solving the lot sizing Problem. Omega, 28, 175-184.
    • (2000) Omega , vol.28 , pp. 175-184
    • Lotfi, K.G.1    Choueiki, M.H.2
  • 10
    • 27344455374 scopus 로고    scopus 로고
    • Fuzzy inventory model with two warehouses under possibility constraints
    • Maiti, M. K., and Maiti, M., (2006). Fuzzy inventory model with two warehouses under possibility constraints. Fuzzy Sets and Systems, 157, 52-73.
    • (2006) Fuzzy Sets and Systems , vol.157 , pp. 52-73
    • Maiti, M.K.1    Maiti, M.2
  • 12
    • 0036466985 scopus 로고    scopus 로고
    • Classifying inventory using an artificial neural network approach
    • Partovi, F. Y., & Anandarajan, M., (2002). Classifying inventory using an artificial neural network approach. Computers and Industrial Engineering, 41(4), 389-404.
    • (2002) Computers and Industrial Engineering , vol.41 , Issue.4 , pp. 389-404
    • Partovi, F.Y.1    Anandarajan, M.2
  • 13
    • 57049113254 scopus 로고    scopus 로고
    • Optimizing replenishment policy for an integrated production inventory deteriorating model considering green component-value design and remanufacturing
    • Wee, H. M., & Chung, C. J., (2009). Optimizing replenishment policy for an integrated production inventory deteriorating model considering green component-value design and remanufacturing. International Journal of Production Research, 47(5), 1343-1368.
    • (2009) International Journal of Production Research , vol.47 , Issue.5 , pp. 1343-1368
    • Wee, H.M.1    Chung, C.J.2
  • 14
    • 33748163005 scopus 로고    scopus 로고
    • Optimal inventory model for items with imperfect quality and shortage backordering
    • Wee, H. M., Yu, J., and Chen, M. C., (2007). Optimal inventory model for items with imperfect quality and shortage backordering. Omega, 35, 7-11.
    • (2007) Omega , vol.35 , pp. 7-11
    • Wee, H.M.1    Yu, J.2    Chen, M.C.3
  • 15
    • 33744831752 scopus 로고    scopus 로고
    • Machine number and the due date determination in flexile manufacturing systems using artificial neural networks
    • Yildirim, L. B., Cakar, T., Doguc, U., & Meza J. C., (2006). Machine number and the due date determination in flexile manufacturing systems using artificial neural networks. Computers and Industrial Engineering, 50, 185-194.
    • (2006) Computers and Industrial Engineering , vol.50 , pp. 185-194
    • Yildirim, L.B.1    Cakar, T.2    Doguc, U.3    Meza, J.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.