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All issues Volume 55 / No 4 (July-August 2021) RAIRO-Oper. Res., 55 4 (2021) 2439-2468 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 4, July-August 2021
Page(s) 2439 - 2468
DOI https://doi.org/10.1051/ro/2021113
Published online 25 August 2021
  • S.P. Aggarwal and C.K. Jaggi, Ordering policies of deteriorating items under permissible delay in payments. J. Oper. Res. Soc. 46 (1995) 658–662. [Google Scholar]
  • B. Ahmad and L. Benkherouf, On an optimal replenishment policy for inventory models for non-instantaneous deteriorating items with stock dependent demand and partial backlogging. RAIRO:OR 54 (2020) 69–79. [CrossRef] [Google Scholar]
  • S.M. Ali and K. Nakade, Scenario-based supply chain disruptions management framework: a quantitative approach. Innov. Supply Chain Manage. 8 (2014) 81–91. [CrossRef] [Google Scholar]
  • K.M. Björk, An analytical solution to a fuzzy economic order quantity problem. Int. J. Approximate Reasoning 50 (2009) 485–493. [CrossRef] [Google Scholar]
  • M. Braglia and L. Zavanella, Modelling an industrial strategy for inventory management in supply chains: the “Consignment Stock’’ case. Int. J. Prod. Res. 41 (2003) 3793–3808. [CrossRef] [Google Scholar]
  • S. Bylka, The consignment stock of inventories under buyer’s warehouse space limitation. Int. J. Prod. Res. 58 (2020) 912–930. [CrossRef] [Google Scholar]
  • A. Chakraborty, T. Maiti and B.C. Giri, Consignment stock policy in a closed-loop supply chain. RAIRO:OR 55 (2021) S1913–S1934. [CrossRef] [Google Scholar]
  • N. Çömez-Dolgan, L. Moussawi-Haidar and M.Y. Jaber, A buyer–vendor system with untimely delivery costs: traditional coordination vs. VMI with consignment stock. Comput. Ind. Eng. 154 (2021) 107009. [CrossRef] [Google Scholar]
  • S. Ebrahimi, S.M. Hosseini-Motlagh and M. Nematollahi, Proposing a delay in payment contract for coordinating a two-echelon periodic review supply chain with stochastic promotional effort dependent demand. Int. J. Mach. Learn. Cybern. 10 (2019) 1037–1050. [CrossRef] [Google Scholar]
  • M. Ganesh Kumar and R. Uthayakumar, Modelling on vendor-managed inventory policies with equal and unequal shipments under GHG emission-trading scheme. Int. J. Prod. Res. 57 (2019) 3362–3381. [CrossRef] [Google Scholar]
  • B. Ganguly, B. Sarkar, M. Sarkar, S. Pareek and M. Omair, Influence of controllable lead time, premium price, and unequal shipments under environmental effects in a supply chain management. RAIRO:OR 53 (2019) 1427–1451. [CrossRef] [Google Scholar]
  • A. Gharaei, M. Karimi and S.A.H. Shekarabi, An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: the outer approximation with equality relaxation and augmented penalty algorithm. Appl. Math. Modell. 69 (2019) 223–254. [CrossRef] [Google Scholar]
  • B.C. Giri and M. Masanta, A closed-loop supply chain model with uncertain return and learning-forgetting effect in production under consignment stock policy. Oper. Res. 20 (2020) 1–29. DOI: 10.1007/s12351-020-00571-9. [Google Scholar]
  • B.C. Giri, A. Chakraborty and T. Maiti, Effectiveness of consignment stock policy in a three-level supply chain. Oper. Res. 17 (2017) 39–66. [Google Scholar]
  • R.M. Hill, The optimal production and shipment policy for the single-vendor single-buyer integrated production-inventory problem. Int. J. Prod. Res. 37 (1999) 2463–2475. [CrossRef] [Google Scholar]
  • Q. Huang and J. Chen, A note on “Modelling an industrial strategy for inventory management in supply chains: the ‘Consignment Stock’ case”. Int. J. Prod. Res. 47 (2009) 6469–6475. [CrossRef] [Google Scholar]
  • R. Jamshidi, S.F. Ghomi and B. Karimi, Flexible supply chain optimization with controllable lead time and shipping option. Appl. Soft Comput. 30 (2015) 26–35. [CrossRef] [Google Scholar]
  • J.K. Jha and K. Shanker, Single-vendor multi-buyer integrated production-inventory model with controllable lead time and service level constraints. Appl. Math. Model. 37 (2013) 1753–1767. [CrossRef] [Google Scholar]
  • B. Karthick and R. Uthayakumar, Optimizing an imperfect production model with varying setup cost, price discount, and lead time under fuzzy demand. Process Integr. Optim. Sustain. 5 (2021) 13–29. [CrossRef] [Google Scholar]
  • B. Karthick and R. Uthayakumar, A multi-item sustainable manufacturing model with discrete setup cost and carbon emission reduction under deterministic and trapezoidal fuzzy demand. Process Integr. Optim. Sustain. 5 (2021) 1–39. DOI: 10.1007/s41660-021-00159-6. [CrossRef] [Google Scholar]
  • N. Kazemi, E. Ehsani and M.Y. Jaber, An inventory model with backorders with fuzzy parameters and decision variables. Int. J. Approximate Reasoning 51 (2010) 964–972. [CrossRef] [Google Scholar]
  • L.Y. Ouyang and J.S. Yao, A minimax distribution free procedure for mixed inventory model involving variable lead time with fuzzy demand. Comput. Oper. Res. 29 (2002) 471–487. [CrossRef] [Google Scholar]
  • S. Rani, R. Ali and A. Agarwal, Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand. Opsearch 56 (2019) 91–122. [CrossRef] [MathSciNet] [Google Scholar]
  • B. Sarkar, An EOQ model with delay in payments and stock dependent demand in the presence of imperfect production. Appl. Math. Comput. 218 (2012) 8295–8308. [Google Scholar]
  • S.K. Sardar and B. Sarkar, How does advanced technology solve unreliability under supply chain management using game policy? Mathematics 8 (2020) 1191. [CrossRef] [Google Scholar]
  • B. Sarkar, B. Mandal and S. Sarkar, Quality improvement and backorder price discount under controllable lead time in an inventory model. J. Manuf. Syst. 35 (2015) 26–36. [Google Scholar]
  • B. Sarkar, A. Majumder, M. Sarkar, N. Kim and M. Ullah, Effects of variable production rate on quality of products in a single-vendor multi-buyer supply chain management. Int. J. Adv. Manuf. Technol. 99 (2018) 567–581. [Google Scholar]
  • B. Sarkar, C. Zhang, A. Majumder, M. Sarkar and Y.W. Seo, A distribution free newsvendor model with consignment policy and retailer’s royalty reduction. Int. J. Prod. Res. 56 (2018) 5025–5044. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Omair and N. Kim, A cooperative advertising collaboration policy in supply chain management under uncertain conditions. Appl. Soft Comput. 88 (2020) 105948. [CrossRef] [Google Scholar]
  • B. Sarkar, B.K. Dey, M. Sarkar, S. Hur, B. Mandal and V. Dhaka, Optimal replenishment decision for retailers with variable demand for deteriorating products under a trade-credit policy. RAIRO:OR 54 (2020) 1685–1701. [Google Scholar]
  • S.K. Sardar, B. Sarkar and B. Kim, Integrating machine learning, radio frequency identification, and consignment policy for reducing unreliability in smart supply chain management. Processes 9 (2021) 247. [CrossRef] [Google Scholar]
  • S. Shabani, A. Mirzazadeh and E. Sharifi, A two-warehouse inventory model with fuzzy deterioration rate and fuzzy demand rate under conditionally permissible delay in payment. J. Ind. Prod. Eng. 33 (2016) 134–142. [Google Scholar]
  • A.K. Sharma, S. Tiwari, V.S.S. Yadavalli and C.K. Jaggi, Optimal trade credit and replenishment policies for non-instantaneous deteriorating items. RAIRO:OR 54 (2020) 1793–1826. [Google Scholar]
  • D. Shin, R. Guchhait, B. Sarkar and M. Mittal, Controllable lead time, service level constraint, and transportation discounts in a continuous review inventory model. RAIRO:OR 50 (2016) 921–934. [CrossRef] [Google Scholar]
  • C. Srinivas and C.S.P. Rao, Optimization of supply chains for single-vendor–multibuyer consignment stock policy with genetic algorithm. Int. J. Adv. Manuf. Technol. 48 (2010) 407–420. [CrossRef] [Google Scholar]
  • G. Valentini and L. Zavanella, The consignment stock of inventories: industrial case and performance analysis. Int. J. Prod. Econ. 81 (2003) 215–224. [Google Scholar]
  • H. Yi and B.R. Sarker, An optimal consignment stock production and replenishment policy with controllable lead time. Int. J. Prod. Res. 51 (2013) 6316–6335. [CrossRef] [Google Scholar]
  • H.F. Yu and W.K. Hsu, An integrated inventory model with immediate return for defective items under unequal-sized shipments. J. Ind. Prod. Eng. 34 (2017) 70–77. [Google Scholar]
  • S.K. Zahran, M.Y. Jaber and S. Zanoni, The consignment stock case for a vendor and a buyer with delay-in-payments. Comput. Ind. Eng. 98 (2016) 333–349. [CrossRef] [Google Scholar]
  • L. Zavanella and S. Zanoni, A one-vendor multi-buyer integrated production-inventory model: the “Consignment Stock” case. Int. J. Prod. Econ. 118 (2009) 225–232. [CrossRef] [Google Scholar]

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