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Decision making on stock levels in cases of uncertain demand rate

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  • Popovic, Jovan B.

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  • Popovic, Jovan B., 1987. "Decision making on stock levels in cases of uncertain demand rate," European Journal of Operational Research, Elsevier, vol. 32(2), pages 276-290, November.
    • Handle: RePEc:eee:ejores:v:32:y:1987:i:2:p:276-290
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    Cited by:

    1. Terciyanlı, Erman & Avṣar, Zeynep Müge, 2019. "Alternative risk-averse approaches for airline network revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 27-46.
    2. Popovic, Jovan & Teodorovic, Dusan, 1997. "An adaptive method for generating demand inputs to airline seat inventory control models," Transportation Research Part B: Methodological, Elsevier, vol. 31(2), pages 159-175, April.
    3. Sinan Apak, 2015. "A Bayesian Approach Proposal For Inventory Cost and Demand Forecasting," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 41-48, December.
    4. Bitran, Gabriel R. & Wadhwa, Hitendra K. S. (Hitendra Kumar Singh), 1996. "A methodology for demand learning with an application to the optimal pricing of seasonal products," Working papers 3898-96., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Hill, Roger M., 1997. "Applying Bayesian methodology with a uniform prior to the single period inventory model," European Journal of Operational Research, Elsevier, vol. 98(3), pages 555-562, May.
    6. Boutselis, Petros & McNaught, Ken, 2014. "Finite-Time Horizon Logistics Decision Making Problems: Consideration of a Wider Set of Factors," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Innovative Methods in Logistics and Supply Chain Management: Current Issues and Emerging Practices. Proceedings of the Hamburg International Conferenc, volume 19, pages 249-274, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    7. Sen, Alper & Zhang, Alex X., 2009. "Style goods pricing with demand learning," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1058-1075, August.
    8. Babai, M.Z. & Chen, H. & Syntetos, A.A. & Lengu, D., 2021. "A compound-Poisson Bayesian approach for spare parts inventory forecasting," International Journal of Production Economics, Elsevier, vol. 232(C).
    9. John W. Bradford & Paul K. Sugrue, 1991. "Inventory rotation policies for slow moving items," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(1), pages 87-105, February.

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