Free Access
Issue
RAIRO-Oper. Res.
Volume 53, Number 5, November-December 2019
Page(s) 1691 - 1708
DOI https://doi.org/10.1051/ro/2018093
Published online 09 October 2019
  • H.K. Alfares and A.M. Ghaithan, Inventory and pricing model with price-dependent demand, time-varying holding cost and quantity discounts. Comput. Ind. Eng. 94 (2016) 170–177. [Google Scholar]
  • T. Avinadav, A. Herbon and U. Spiegel, Optimal inventory policy for a perishable item with demand function sensitive to price and sale. Int. J. Prod. Eng. 144 (2013) 497–506. [CrossRef] [Google Scholar]
  • A.K. Bhunia and A.A. Shaikh, An Application of PSO in a two ware house inventory model for deteriorating item under permissible delay in payment with different inventory policies. Appl. Math. Comput. 256 (2015) 831–850. [Google Scholar]
  • A.K. Bhunia and A.A. Shaikh, Investigation of two-warehouse inventory problems in interval environment under inflation via particle swarm optimization. Math. Comp. Model. Dyn. 22 (2016) 160–179. [CrossRef] [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh, A.K. Maiti and M. Maiti, A two ware house deterministic inventory model for deteriorating items with a linear trend in time dependent demand over finite time horizon by Elitist Real-coded Genetic Algorithm. Int. J. Ind. Eng. Comput. 4 (2013) 241–258. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh and R.K. Gupta, A study on two ware house partially backlogged deteriorating inventory models under inflation via particle swarm optimization. Int. J. Syst. Sci. 46 (2015) 1036–1050. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh, G. Sharma and S. Pareek, A two storage inventory model for deteriorating items with variable demand and partial backlogging. J. Ind. Prod. Eng. 32 (2015) 263–272. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh and L.N. Sahoo, A two ware house inventory model for deteriorating item under permissible delay in payments via particle swarm optimization. Int. J. Logist. Syst. Manag. 24 (2016) 45–69. [CrossRef] [Google Scholar]
  • D. Das, M.B. Kar, A. Roy and S. Kar, Two storage inventory model of a deteriorating item with variable demand under partial trade credit. Cent. Eur. J. Oper. Res. 20 (2012) 251–280. [Google Scholar]
  • L. Feng, Y.L. Chen and L.E. Cardenas-Barron, Pricing and lot-sizing policies 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]
  • M. Gayen and A.K. Pal, A two ware house inventory model for deteriorating items with stock dependent demand rate and holding cost. Oper. Res. Int. J. 9 (2009) 153–165. [CrossRef] [Google Scholar]
  • P. Guchhait, M.K. Maiti and M. Maiti, Two storage inventory model of deteriorating item with variable demand under partial trade credit. Appl. Soft Comput. 13 (2013) 428–448. [Google Scholar]
  • C.K. Jaggi, S. Tiwari and S.K. Goel, Credit financing in economic ordering policies for non-instantaneous deteriorating items with price dependent demand and two storage facilities. Ann. Oper. Res. 248 (2017) 253–280. [Google Scholar]
  • M. Lashgari, A.A. Taleizadeh and A. Ahmadi, A partial-up-stream advance payment and partial-down-stream delayed payments in a three level supply chain. Ann. Oper. Res. 238 (2016) 329–354. [Google Scholar]
  • Y. Liang and F. Zhou, A two-warehouse inventory model for deteriorating items under conditionally permissible delay in payment. Appl. Math. Model. 35 (2011) 2221–2231. [Google Scholar]
  • R. Maihami and I.K. Kamalabadi, Joint pricing and inventory control for non-instantaneous deteriorating items with partial backlogging and time and price dependent demand. Int. J. Prod. Econ. 136 (2012) 116–122. [Google Scholar]
  • A.K. Maiti, M.K. Maiti and M. Maiti, Inventory model with stochastic lead time and price dependent demand incorporating advance payment. Appl. Math. Model. 33 (2009) 2433–2443. [Google Scholar]
  • D. Panda, M.K. Maiti and M. Maiti, Two ware house inventory model for single vendor multiple retailers with price and stock dependent demand. Appl. Math. Model. 34 (2010) 3571–3585. [Google Scholar]
  • S. Saha and S.K. Goyal, Supply chain co-ordination contracts with inventory level and retailer price dependent demand. Int. J. Prod. Econ. 161 (2015) 140–152. [Google Scholar]
  • S.S. Sana, Price-sensitive demand for perishable items-an EOQ model. Appl. Math. Comput. 217 (2011) 6248–6259. [Google Scholar]
  • B. Sarkar, P. Mandal and S. Sarkar, An EMQ model with price and sensitive time dependent demand under the effect of reliability and inflation. Appl. Math. Comput. 231 (2014) 414–421. [Google Scholar]
  • A.A. Shaikh, A two ware house inventory model for deteriorating items with variable demand under alternative trade credit policy. Int. J. Logist. Syst. Manag. 27 (2017) 40–61. [CrossRef] [Google Scholar]
  • S.R. Singh, N. Kumar and R. Kumari, Two-ware house fuzzy inventory model under the conditions of permissible delay in payments. Int. J. Oper. Res. 11 (2011) 78–99. [CrossRef] [Google Scholar]
  • G. Sridevi, K.N. Deve and K.S. Rao, Inventory model for deteriorating items with Weibull rate of replenishment and selling price dependent demand. Int. J. Oper. Res. 9 (2010) 329–349. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, D.W. Pentico, M.S. Jabalamali and M. Aryanezhad, An economic order quantity model with multiple partial prepayment and partial back ordering. Math. Comput. Model. 57 (2013) 311–323. [Google Scholar]
  • A.A. Taleizadeh, An economic order quantity model for deteriorating items in a purchasing system with multiple prepayments. Appl. Math. Model. 38 (2014) 5357–5366. [Google Scholar]
  • A.A. Taleizadeh, An EOQ model with partial backordering and advance payments for an evaporating item. Int. J. Prod. Econ. 155 (2014) 185–193. [Google Scholar]
  • S. Tavakoli and A.A. Taleizadeh, An EOQ model for decaying items with full advance payment and conditional discount. Ann. Oper. Res. 259 (2017) 1–22. [Google Scholar]
  • J.T. Teng, L.E. Cardenas-Barron, H.J. Chang, J. Wu and Y. Hu, Inventory lot size policies for deteriorating items with expiration date and advance payments. Appl. Math. Model. 40 (2016) 8605–8616. [Google Scholar]
  • A. Thangam, Dominants retailers’ optimal policy in a supply chain under advance payment scheme and trade credit. Int. J. Math. Oper. Res. 3 (2011) 658–679. [CrossRef] [Google Scholar]
  • A. Thangam, Optimal price discounting and lot-sizing policies for perishable items in a supply chain under advance payment scheme and two-echelon trade credits. Int. J. Prod. Econ. 139 (2012) 459–472. [Google Scholar]
  • S. Tiwari, L.E. Cárdenas-Barrón, M. Goh and A.A. Shaikh, Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain. Int. J. Prod. Econ. 200 (2018) 16–36. [Google Scholar]
  • S. Tiwari, C.K. Jaggi, A.K. Bhunia, A.A. Shaikh and M. Goh, Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization. Ann. Oper. Res. 254 (2017) 401–423. [Google Scholar]
  • S. Tiwari, C.K. Jaggi, M. Gupta and L.E. Cárdenas-Barrón, Optimal pricing and lot-sizing policy for supply chain system with deteriorating items under limited storage capacity. Int. J. Prod. Econ. 200 (2018) 278–290. [Google Scholar]
  • Y.C. Tsao, Retailer’s optimal ordering and discounting policies under advance sales discount and trade credits. Comput. Ind. Eng. 56 (2009) 208–215. [Google Scholar]
  • Y.C. Tsao, Designing a supply chain network for deteriorating inventory under preservation effort and trade credits. Int. J. Prod. Res. 54 (2016) 3837–3851. [Google Scholar]
  • N.P. Zia and A.A. Taleizadeh, A lot-sizing with backordering under hybrid linked to order multiple advance payment and delay payments. Transport. Res. E-Log. 82 (2015) 19–37. [CrossRef] [Google Scholar]

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