Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 1, January-February 2022
Page(s) 331 - 348
DOI https://doi.org/10.1051/ro/2021172
Published online 07 February 2022
  • A.K. Bhunia and M. Maiti, An inventory model of deteriorating items with lot-size dependent replenishment cost and linear trend in demand. Appl. Math. Model. 23 (1999) 301–308. [CrossRef] [Google Scholar]
  • A.K. Bhunia and A.A. Shaikh, An application of PSO in a two-warehouse inventory model for deteriorating item under permissible delay in payment with different inventory policies. Appl. Math. Comput. 256 (2015) 831–850. [Google Scholar]
  • A. Cambibi and L. Martein, Generalized Convexity and Optimization: Theory and Applications. Lecture Notes in Economics and Mathematical Systems. Vol. 616. Springer (2009). [Google Scholar]
  • Y.-R. Chen and C.-Y. Dye, Application of particle swarm optimization for solving deteriorating inventory model with fluctuating demand and controllable deterioration rate. Int. J. Syst. Sci. 44 (2013) 1026–1039. [CrossRef] [Google Scholar]
  • L.-H. Chen and F.-S. Kang, Integrated inventory models considering the two-level trade credit policy and a price-negotiation scheme. Eur. J. Oper. Res. 205 (2010) 47–58. [CrossRef] [Google Scholar]
  • M.G. Corradini and M. Peleg, Prediction of vitamins loss during non-isothermal heat processes and storage with non-linear kinetic models. Trends Food Sci. Technol. 17 (2006) 24–34. [CrossRef] [Google Scholar]
  • S.C. Das, A.K. Manna, M.S. Rahman, A.A. Shaikh and A.K. Bhunia, An inventory model for non-instantaneous deteriorating items with preservation technology and multiple credit periods-based trade credit financing via particle swarm optimization. Soft Comput. 25 (2021) 5365–5384. [CrossRef] [Google Scholar]
  • A. Diabat, A.A. Taleizadeh and M. Lashgari, A lot sizing model with partial downstream delayed payment, partial upstream advance payment, and partial back ordering for deteriorating items. J. Manuf. Syst. 45 (2017) 322–342. [Google Scholar]
  • C.-Y. Dye, The effect of preservation technology investment on a non-instantaneous deteriorating inventory model. OMEGA Int. J. Manage. Sci. 41 (2013) 872–880. [CrossRef] [Google Scholar]
  • C.-Y. Dye and T.-P. Hsieh, An optimal replenishment policy for deteriorating items with effective investment in preservation technology. Eur. J. Oper. Res. 218 (2012) 106–112. [CrossRef] [Google Scholar]
  • M.E. Ferguson and M.E. Ketzenberg, Information Sharing to Improve Retail Product Freshness of Perishables, 3rd edition. Georgia Institute of Technology (2005). [Google Scholar]
  • P.K. Ghosh, A.K. Manna, J.K. Dey and S. Kar, Supply chain coordination model for green product with different payment strategies: a game theoretic approach. J. Cleaner Prod. 290 (2021) 125734. [CrossRef] [Google Scholar]
  • P.K. Ghosh, A.K. Manna, J.K. Dey and S. Kar, An EOQ model with backordering for perishable product under multiple advanced and delayed payments policies. J. Manage. Anal. (2021) 1–12. Doi: 10.1080/23270012.2021.1882348. [Google Scholar]
  • S.K. Goyal, Economic order quantity under the condition of permissible delay in payments. J. Oper. Res. Soc. 36 (1985) 335–338. [CrossRef] [Google Scholar]
  • M. Gupta, S. Tiwari and C.K. Jaggi, Retailer’s ordering policies for time-varying deteriorating items with partial backlogging and permissible delay in payments in a two-warehouse environment. Ann. Oper. Res. 295 (2020) 139–161. [CrossRef] [MathSciNet] [Google Scholar]
  • F.W. Harris, How many parts to make at once, Factory. Mag. Manage. 10 (1913) 135–136. [Google Scholar]
  • Y. He and Y. Huang, Optimizing inventory and pricing policy for seasonal deteriorating products with preservation technology investment. J. Ind. Eng. 2013 (2013) 1–7. [Google Scholar]
  • M.A.A. Khan, A.A. Shaikh, G.C. Panda and I. Konstantaras, Two-warehouse inventory model for deteriorating items with partial backlogging and advance payment scheme. RAIRO-Oper. Res. 53 (2019) 1691–1708. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • R. Li, Y.-L. Chan, C.-T. Chang and L.E. Cárdenas-Barrón, Pricing and lot-sizing policies for perishable products with advance-cash-credit payments by a discounted cash flow analysis. Int. J. Prod. Econ. 193 (2017) 578–589. [CrossRef] [Google Scholar]
  • G.C. Mahata, An EPQ-based inventory model for exponentially deteriorating items under retailer partial trade credit policy in supply chain. Expert Syst. App. 39 (2012) 3537–3550. [CrossRef] [Google Scholar]
  • A.K. Manna, J.K. Dey and S.K. Mondal, Effect of inspection errors on imperfect production inventory model with warranty and price discount dependent demand rate. RAIRO-Oper. Res. 54 (2020) 1189–1213. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • R. Martin, China must improve its cool supply chain to keep pace with demand for fresh food. http://theloadstar.co.uk/coolstar/china-mustimprove-its-cool-supply-chain-to-keep-pace-with-demand-for-fresh-food (2015). [Google Scholar]
  • G.D. Orris and A.J. Whitehead, Hazard analysis and critical control point (HACCP) as a part of an overall quality assurance system in international food trade. Food Control 11 (2000) 345–351. [CrossRef] [Google Scholar]
  • Y. Qin, J. Wang and C. Wei, Joint pricing and inventory control for fresh produce and foods with quality and physical quantity deteriorating simultaneously. Int. J. Prod. Econ. 152 (2014) 42–48. [Google Scholar]
  • H. Ronald, G. Schmidt and E. Rodrick, Definition of food safety. In: Food Safety Handbook, Wilely-IEEE3-7 (2005). [Google Scholar]
  • N.H. Shah, M.Y. Jani and U. Chaudhari, Optimal replenishment time for retailer under partial upstream prepayment and partial downstream overdue payment for quadratic demand. Math. Comput. Model. Dyn. Syst. 24 (2017) 1–11. [Google Scholar]
  • K. Skouri and S. Papachristos, A continuous review inventory model with deteriorating items time varying demand linear replenishment cost partially time varyingbacklogging. Appl. Math. Model. 26 (2002) 603–617. [CrossRef] [Google Scholar]
  • K. Skouri, I. Konstantaras, S. Papachristos and I. Ganas, Inventory models with ramp type demand rate, partial backlogging and Weibull deterioration rate. Eur. J. Oper. Res. 192 (2009) 79–92. [Google Scholar]
  • D. Smith, Design and management concepts for high care food processing. Br. Food J. 108 (2006) 54–60. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, D.W. Pentico, M.S. Jabalameli and M. Aryanezhad, An economic order quantity model with multiple partial prepayments and partial backordering. 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]
  • J.T. Teng, J. Min and Q. Pan, Economic order quantity model with trade credit financing for non-decreasing demand. Omega 40 (2012) 328–335. [Google Scholar]
  • J.T. Teng, L.E. Cárdenas-Barrón, H.J. Chang, J. Wu and Y. Hu, Inventory lot-size policies for deteriorating items with expiration dates and advance payments. Appl. Math. Model. 40 (2016) 8605–8616. [Google Scholar]
  • A. Thangam and R. Uthayakumar, Two-echelon trade credit financing for perishable items in a supply chain when demand depends on both selling price and credit period. Comput. Ind. Eng. 57 (2009) 773–786. [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]
  • Y.-C. Tsao, A piecewise nonlinear optimization for a production-inventory model under maintenance, variable setup costs, and trade credits. Ann. Oper. Res. 233 (2015) 465–481. [CrossRef] [MathSciNet] [Google Scholar]
  • M.-F. Yang and W.-C. Tseng, Deteriorating inventory model for chilled food. Math. Prob. Eng. 2015 (2015) 1–10. [Google Scholar]
  • A.X. Zhang, Optimal advance payment scheme involving fixed per-payment costs. Omega 24 (1996) 577–582. [Google Scholar]

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