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Lot-sizing decisions under limited-time price incentives: A review

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  • Ramasesh, Ranga V.

Abstract

The problem of determining the optimal order quantities for an inventoried item, when the vendor offers a limited-time price reduction is both interesting and important. It is interesting in that it has received continued attention of academic researchers for over four decades and it is important given its economic implication in a variety of practical settings. The extensive literature on this problem represents a fascinating confluence of: (1) economic significance and relevance to managerial practice, (2) continuing academic research interest directed at precise mathematical analysis leading to the development of rigorous and complex models and policies, and (3) elegance and adequacy of simple models and heuristic policies which are validated by the results of rigorous models and computational analysis. In this paper, we survey this literature using simple classification frameworks and then review some of the key studies. We highlight their key assumptions and findings, bring across key implications for policy implementation and academic research and identify avenues for further research.

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  • Ramasesh, Ranga V., 2010. "Lot-sizing decisions under limited-time price incentives: A review," Omega, Elsevier, vol. 38(3-4), pages 118-135, June.
  • Handle: RePEc:eee:jomega:v:38:y:2010:i:3-4:p:118-135
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    References listed on IDEAS

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    Cited by:

    1. Abedinnia, Hamid & Moghaddamkia, Hoda & Glock, C. H., 2016. "A joint economic lot size model under continuously increasing purchase prices of raw materials," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82129, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Rana, Rupal & Oliveira, Fernando S., 2014. "Real-time dynamic pricing in a non-stationary environment using model-free reinforcement learning," Omega, Elsevier, vol. 47(C), pages 116-126.
    3. Mahdi Tajbakhsh, M. & Lee, Chi-Guhn & Zolfaghari, Saeed, 2011. "An inventory model with random discount offerings," Omega, Elsevier, vol. 39(6), pages 710-718, December.
    4. Su, Yiqiang & Geunes, Joseph, 2012. "Price promotions, operations cost, and profit in a two-stage supply chain," Omega, Elsevier, vol. 40(6), pages 891-905.
    5. Lim, Sungmook, 2013. "A joint optimal pricing and order quantity model under parameter uncertainty and its practical implementation," Omega, Elsevier, vol. 41(6), pages 998-1007.
    6. Yang, P.C. & Wee, H.M. & Liu, B.S. & Fong, O.K., 2011. "Mitigating Hi-tech products risks due to rapid technological innovation," Omega, Elsevier, vol. 39(4), pages 456-463, August.
    7. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
    8. Karimi-Nasab, M. & Konstantaras, I., 2013. "An inventory control model with stochastic review interval and special sale offer," European Journal of Operational Research, Elsevier, vol. 227(1), pages 81-87.
    9. Wang, Xiaojun & Li, Dong, 2012. "A dynamic product quality evaluation based pricing model for perishable food supply chains," Omega, Elsevier, vol. 40(6), pages 906-917.
    10. Ramasesh, Ranga V. & Rachamadugu, Ram, 2012. "Evaluating lot-sizing strategies under limited-time price incentives: An efficient lower bound," International Journal of Production Economics, Elsevier, vol. 138(1), pages 177-182.
    11. Shaposhnik, Yaron & Herer, Yale T. & Naseraldin, Hussein, 2015. "Optimal ordering for a probabilistic one-time discount," European Journal of Operational Research, Elsevier, vol. 244(3), pages 803-814.

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