Free Access
RAIRO-Oper. Res.
Volume 55, 2021
Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
Page(s) S1803 - S1821
Published online 02 March 2021
  • E. Adida and G. Perakis, A nonlinear continuous time optimal control model of dynamic pricing and inventory control with no backorders. Nav. Res. Logist. 54 (2007) 767–795. [Google Scholar]
  • E. Adida and G. Perakis, Dynamic pricing and inventory control: uncertainty and competition. Oper. Res. 58 (2010) 289–302. [Google Scholar]
  • L. Arnold, Stochastic Differential Equations: Theory and Applications. John Wiley & Sons, New York, NY (1974). [Google Scholar]
  • H. Arslan and S. Kachani, Dynamic pricing under consumer reference-price effects, edited by J.J. Cochran. In: Wiley Encyclopedia of Operations Research and Management Science. John Wiley & Sons, Hoboken, NJ (2011). [Google Scholar]
  • R.C. Baker and T.L. Urban, A deterministic inventory system with an inventory level dependent demand rate. J. Oper. Res. Soc. 39 (1988) 823–831. [Google Scholar]
  • R.A. Briesch, L. Krishnamurthi, T. Mazumdar and S.P. Raj, A comparative analysis of reference price models. J. Gonsurn. Res. 24 (1997) 202–214. [Google Scholar]
  • C.T. Chang, Inventory models with stock-dependent demand and nonlinear holding costs for deteriorating items. Asia Pac. J. Oper. Res. 21 (2004) 435–446. [Google Scholar]
  • X. Chen and D. Simchi-Levi, Pricing and inventory management, edited by R. Philips and O. Ozalp. In: The Oxford Handbook of Pricing Management. Oxford University Press, Oxford (2012) 784–824. [Google Scholar]
  • X. Chen, P. Hu and Z. Hu, Efficient algorithms for the dynamic pricing problem with reference price effect. Manage. Sci. 63 (2016) 4389–4408. [Google Scholar]
  • X. Chen, P. Hu, S. Shum and Y. Zhang, Dynamic stochastic inventory management with reference price effects. Oper. Res. 64 (2016) 1529–1536. [Google Scholar]
  • R. Chenavaz, Dynamic pricing with reference price dependence. Econ.: Open-Access Open-Assess. E-J. 10 (2016) 1–17. [Google Scholar]
  • F.S. Chou and M. Parlar, Optimal control of a revenue management system with dynamic pricing facing linear demand. Optirn. Control App. Methods. 27 (2006) 323–347. [Google Scholar]
  • S. Cyganowski, P. Kloeden and J. Ombach, From Elementary Probability to Stochastic Differential Equations with MAPLE®. Springer, New York, NY (2001). [Google Scholar]
  • Y. Duan, Y. Cao and J. Huo, Optimal pricing, production, and inventory for deteriorating items under demand uncertainty: the finite horizon case. Appl. Math. Model. 58 (2018) 331–348. [Google Scholar]
  • C.Y. Dye and L.Y. Ouyang, An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging. Eur. J. Oper. Res. 163 (2005) 776–783. [Google Scholar]
  • J. Eliashberg and R. Steinberg, Marketing-production decisions in an industrial channel of distribution. Manage. Sci. 33 (1987) 981–1000. [Google Scholar]
  • G.M. Erickson, A differential game model of the marketing-operations interface. Eur. J. Oper. Res. 211 (2011) 394–402. [Google Scholar]
  • G. Feichtinger and R. Hartl, Optimal pricing and production in an inventory model. Eur. J. Oper. Res. 19 (1985) 45–56. [Google Scholar]
  • L. Feng, Dynamic pricing, quality investment, and replenishment model for perishable items. Int. Trans. Oper. Res. 26 (2019) 1558–1575. [Google Scholar]
  • L. Feng, Y.L. Chan and L.E. Cárdenas-Barrón, Pricing and lot-sizing polices for perishable goods when the demand depends on selling price, displayed stocks, and expiration date. Int. J. Prod. Econ. 185 (2017) 11–20. [Google Scholar]
  • L. Feng, J. Zhang and W. Tang, Dynamic joint pricing and production policy for perishable products. Int. Trans. Oper. Res. 25 (2018) 2031–2051. [Google Scholar]
  • G. Fibich, A. Gavious and O. Lowengart, Explicit solutions of optimization models and differential games with nonsmooth (asymmetric) reference-price effects. Oper. Res. 51 (2003) 721–734. [Google Scholar]
  • W. Fleming and R. Rishel, Deterministic and Stochastic Optimal Control. Springer, Berlin-Heidelberg (1975). [Google Scholar]
  • A. Gabor and C. Granger, Price sensitivity of the consumer. J. Advert. Res. 4 (1964) 40–44. [Google Scholar]
  • B. Giri, S. Pal, A. Goswami and K. Chaudhuri, An inventory model for deteriorating items with stock-dependent demand rate. Eur. J. Oper. Res. 95 (1996) 604–610. [Google Scholar]
  • M.G. Güler, T. Bilgiç and R. Güllü, Joint pricing and inventory control for additive demand models with reference effects. Ann. Oper. Res. 226 (2015) 255–276. [Google Scholar]
  • A. Herbon and K. Kogan, Time-dependent and independent control rules for coordinated production and pricing under demand uncertainty and finite planning horizons. Ann. Oper. Res. 223 (2014) 195–216. [Google Scholar]
  • K.L. Hou and L.C. Lin, An EOQ model for deteriorating items with price-and stock-dependent selling rates under inflation and time value of money. Int. J . Syst. Sci. 37 (2006) 1131–1139. [Google Scholar]
  • S. Jørgensen, P.M. Kort and G. Zaccour, Production, inventory, and pricing under cost and demand learning effects. Eur. J. Oper. Res. 117 (1999) 382–395. [Google Scholar]
  • G. Kalyanaram and R.S. Winer, Empirical generalizations from reference price research. Mark. Sci. 14 (1995) 161–169. [Google Scholar]
  • K. Kogan, Production control under uncertainty: closed-loop versus open-loop approach. IIE Trans. 41 (2009) 905–915. [Google Scholar]
  • K. Kogan, B. Venturi and M. Shnaiderman, The effect of uncertainty on production-inventory policies with environmental considerations. IEEE Trans. 62 (2017) 4862–4868. [Google Scholar]
  • P.K. Kopalle and R.S. Winer, A dynamic model of reference price and expected quality. Mark. Lett. 7 (1996) 41–52. [Google Scholar]
  • Y.P. Lee and C.Y. Dye, An inventory model for deteriorating items under stock-dependent demand and controllable deterioration rate. Comput. Ind. Eng. 63 (2012) 474–482. [Google Scholar]
  • R.I. Levin, C.P. McLaughlin, R.P. Lamone and J.F. Kottas, Productions/Operations Management: Contemporary Policy for Managing Operating Systems. McGraw-Hill, New York, NY (1972). [Google Scholar]
  • S. Li, J. Zhang and W. Tang, Joint dynamic pricing and inventory control policy for a stochastic inventory system with perishable products. Int. J. Prod. Res. 53 (2015) 2937–2950. [Google Scholar]
  • Y. Li, S. Zhang and J. Han, Dynamic pricing and periodic ordering for a stochastic inventory system with deteriorating items. Automatica 76 (2017) 200–213. [CrossRef] [Google Scholar]
  • L. Lu, J. Zhang and W. Tang, Optimal dynamic pricing and replenishment policy for perishable items with inventory-level-dependent demand. Int. J. Syst. Sci. 47 (2016) 1480–1494. [Google Scholar]
  • B.N. Mandal and S. Phaujder, An inventory model for deteriorating items and stock-dependent consumption rate. J. Oper. Res. Soc. 40 (1989) 483–488. [Google Scholar]
  • T. Mazumdar, S.P. Raj and I. Sinha, Reference price research: review and propositions. J. Mark. 69 (2005) 84–102. [Google Scholar]
  • U. Mishra, L.E. Cárdenas-Barrón, S. Tiwari, A.A. Shaikh and G. Trevino-Garza, An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. Ann. Oper. Res. 254 (2017) 165–190. [Google Scholar]
  • K.B. Monroe, Buyers’ subjective perceptions of price. J. Mark. Res. 10 (1973) 70–80. [Google Scholar]
  • G. Padmanabhan and P. Vrat, EOQ models for perishable items under stock dependent selling rate. Eur. J. Oper. Res. 86 (1995) 281–292. [Google Scholar]
  • S. Pal, A. Goswami and K. Chaudhuri, A deterministic inventory model for deteriorating items with stock-dependent demand rate. Int. J. Prod. Econ. 32 (1993) 291–299. [Google Scholar]
  • V. Pando, L.A. San-José, J. García-Laguna and J. Sicilia, Optimal lot-size policy for deteriorating items with stock-dependent demand considering profit maximization. Comput. Ind. Eng. 117 (2018) 81–93. [Google Scholar]
  • D. Pekelman, Simultaneous price-production decisions. Oper. Res. 22 (1974) 788–794. [Google Scholar]
  • I. Popescu and Y. Wu, Dynamic pricing strategies with reference effects. Oper. Res. 55 (2007) 413–429. [Google Scholar]
  • K. Prasad and B. Mukherjee, Optimal inventory model under stock and time dependent demand for time varying deterioration rate with shortages. Ann. Oper. Res. 243 (2016) 323–334. [Google Scholar]
  • S.P. Sethi and G.L. Thompson, Optimal Control Theory: Applications to Management Science and Economics. Kluwer, Dordrecht (2000). [Google Scholar]
  • G. Sorger, Reference price formation and optimal pricing strategies, edited by G. Feichtinger. In : Vol. 3 of Optimal Control Theory and Economic Analysis. Elsevier (North Holland), Amsterdam (1988) 97–120. [Google Scholar]
  • G. Strang, Differential Equations and Linear Algebra. Wellesley-Cambridge Press, Wellesley, MA (2014). [Google Scholar]
  • J.T. Teng and C.T. Chang, Economic production quantity models for deteriorating items with price-and stock-dependent demand. Comput. Oper. Res. 32 (2005) 297–308. [Google Scholar]
  • H.M. Wee, A replenishment policy for items with a price-dependent demand and a varying rate of deterioration. Prod. Plan. Control 8 (1997) 494–499. [Google Scholar]
  • H.B. Wolfe, A model for control of style merchandise. Ind. Manage. Rev. 9 (1968) 69–82. [Google Scholar]
  • M. Xue, W. Tang and J. Zhang, Optimal dynamic pricing for deteriorating items with reference-price effects. Int. J. Syst. Sci. 47 (2016) 2022–2031. [Google Scholar]
  • H.L. Yang, J.T. Teng and M.S. Chern, An inventory model under inflation for deteriorating items with stock-dependent consumption rate and partial backlogging shortages. Int. J. Prod. Econ. 123 (2010) 8–19. [Google Scholar]
  • J. Zhang, W.K. Chiang and L. Liang, Strategic pricing with reference effects in a competitive supply chain. Omega 44 (2014) 126–135. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.