Open Access
RAIRO-Oper. Res.
Volume 58, Number 3, May-June 2024
Page(s) 2339 - 2365
Published online 18 June 2024
  • L.B. Acebron and D.C. Dopico, The importance of intrinsic and extrinsic cues to expected and experienced quality: an empirical application for beef. Food Qual. Preference 11 (2000) 229–238. [CrossRef] [Google Scholar]
  • S. Benjaafar, Y. Li and M. Daskin, Carbon footprint and the management of supply chains: insights from simple models. IEEE Trans. Autom. Sci. Eng. 10 (2012) 99–116. [Google Scholar]
  • T. Chakraborty, B.C. Giri and K.S. Chaudhuri, Production lot sizing with process deterioration and machine breakdown. Eur. J. Oper. Res. 185 (2008) 606–618. [CrossRef] [Google Scholar]
  • M.S. Chern, Q. Pan, J.T. Teng, Y.L. Chan and S.C. Chen, Stackelberg solution in a vendor–buyer supply chain model with permissible delay in payments. Int. J. Prod. Econ. 144 (2013) 397–404. [CrossRef] [Google Scholar]
  • M. Choudhury, S.K. De and G.C. Mahata, A pollution-sensitive multistage production-inventory model for deteriorating items considering expiration date under Stackelberg game approach. Environ. Develop. Sustain. 25 (2022) 11847–11884. [Google Scholar]
  • M. Choudhury, S.K. De and G.C. Mahata, Pollution-sensitive integrated production-inventory management for deteriorating items with quality loss and quantity loss with expiration date. Int. J. Syst. Sci. Oper. Logistics 9 (2022) 546–568. [Google Scholar]
  • N.A. Darom, H. Hishamuddin, R. Ramli and Z.M. Nopiah, An inventory model of supply chain disruption recovery with safety stock and carbon emission consideration. J. Clean. Prod. 197 (2018) 1011–1021. [CrossRef] [Google Scholar]
  • S. Das, C. Mahato, M. Choudhury and G.C. Mahata, Dual-channel supply chain inventory model under two-warehouse setting with order volume-linked trade credit, all-units discount and partial backordering. Soft Comput. 27 (2023) 15817–15852. [CrossRef] [Google Scholar]
  • S.K. De and G.C. Mahata, A production inventory supply chain model with partial backordering and disruption under triangular linguistic dense fuzzy lock set approach. Soft Comput. 24 (2020) 5053–5069. [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. [Google Scholar]
  • P. Gautam, S. Maheshwari, A. Kausar and C.K. Jaggi, Sustainable retail model with preservation technology investment to moderate deterioration with environmental deliberations. J. Clean. Prod. 390 (2023) 136128. [CrossRef] [Google Scholar]
  • P.M. Ghare and G.F. Schrader, A model for exponentially decaying inventory. J. Ind. Eng. 14 (1963) 238–243. [Google Scholar]
  • A. Ghosh, S.P. Sarmah and J.K. Jha, Collaborative model for a two-echelon supply chain with uncertain demand under carbon tax policy. Sādhanā 43 (2018) 1–17. [Google Scholar]
  • S.A. Gök and I. Özcan, On big boss fuzzy interval games. Eur. J. Oper. Res. 306 (2023) 1040–1046. [CrossRef] [Google Scholar]
  • Y. Gvili, A. Tal, M. Amar and B. Wansink, Moving up in taste: enhanced projected taste and freshness of moving food products. Psychol. Marketing 34 (2017) 671–683. [CrossRef] [Google Scholar]
  • T.P. Hsieh and C.Y. Dye, Pricing and lot-sizing policies for deteriorating items with partial backlogging under inflation. Expert Syst. App. 37 (2010) 7234–7242. [CrossRef] [Google Scholar]
  • P.H. Hsu, H.M. Wee and H.M. Teng, Preservation technology investment for deteriorating inventory. Int. J. Prod. Econ. 124 (2010) 388–394. [Google Scholar]
  • H. Huang and Y. He, Pricing and lot sizing in a two-level supply chain with supplier process breakdown and random repairing time, in 2017 International Conference on Service Systems and Service Management. IEEE (2017, June). [Google Scholar]
  • H. Huang, Y. He and D. Li, Pricing and inventory decisions in the food supply chain with production disruption and controllable deterioration. J. Clean. Prod. 180 (2018) 280–296. [CrossRef] [Google Scholar]
  • C.K. Jaggi, M. Gupta, A. Kausar and S. Tiwari, Inventory and credit decisions for deteriorating items with displayed stock dependent demand in two-echelon supply chain using Stackelberg and Nash equilibrium solution. Ann. Oper. Res. 274 (2019) 309–329. [CrossRef] [MathSciNet] [Google Scholar]
  • T.C. Kuo, I.H. Hong and S.C. Lin, Do carbon taxes work? Analysis of government policies and enterprise strategies in equilibrium. J. Clean. Prod. 139 (2016) 337–346. [CrossRef] [Google Scholar]
  • G.C. Lin and D.E. Kroll, Economic lot sizing for an imperfect production system subject to random breakdowns. Eng. Optim. 38 (2006) 73–92. [CrossRef] [Google Scholar]
  • G. Liu, J. Zhang and W. Tang, Joint dynamic pricing and investment strategy for perishable foods with price-quality dependent demand. Ann. Oper. Res. 226 (2015) 397–416. [Google Scholar]
  • L. Liu, L. Zhao and X. Ren, Optimal preservation technology investment and pricing policy for fresh food. Comput. Ind. Eng. 135 (2019) 746–756. [CrossRef] [Google Scholar]
  • L. Liu, Q. Zhao and M. Goh, Perishable material sourcing and final product pricing decisions for two-echelon supply chain under price-sensitive demand. Comput. Ind. Eng. 156 (2021) 107260. [CrossRef] [Google Scholar]
  • Y.W. Lok, S.S. Supadi and K.B. Wong, Optimal investment in preservation technology for non-instantaneous deteriorating items under carbon emissions consideration. Comput. Ind. Eng. 183 (2023) 109446. [CrossRef] [Google Scholar]
  • R. Lotfi, Z. Sheikhi, M. Amra, M. AliBakhshi and G.W. Weber, Robust optimization of risk-aware, resilient and sustainable closed-loop supply chain network design with Lagrange relaxation and fix-and-optimize. Int. J. Logistics Res. App. (2021). DOI: 10.1080/13675567.2021.2017418. [Google Scholar]
  • R. Lotfi, H. Hazrati, S.S. Ali, S.M. Sharifmousavi, A. Khanbaba and M. Amra, Antifragile, sustainable and agile healthcare waste chain network design by considering blockchain, resiliency, robustness and risk. Cent. Eur. J. Oper. Res. (2023). DOI: 10.1007/s10100-023-00874-0. [Google Scholar]
  • C.J. Lu, C.T. Yang and H.F. Yen, Stackelberg game approach for sustainable production-inventory model with collaborative investment in technology for reducing carbon emissions. J. Clean. Prod. 270 (2020) 121963. [CrossRef] [Google Scholar]
  • C.J. Lu, M. Gu, T.S. Lee and C.T. Yang, Impact of carbon emission policy combinations on the optimal production-inventory decisions for deteriorating items. Expert Syst. App. 201 (2022) 117234. [CrossRef] [Google Scholar]
  • A. Macías-López, L.E. Cárdenas-Barrón, R.E. Peimbert-García and B. Mandal, An inventory model for perishable items with price-, stock-, and time-dependent demand rate considering shelf-life and nonlinear holding costs. Math. Probl. Eng. 2021 (2021) 1–36. [CrossRef] [Google Scholar]
  • A.S. Mahapatra, M.S. Mahapatra, B. Sarkar and S.K. Majumder, Benefit of preservation technology with promotion and time-dependent deterioration under fuzzy learning. Expert Syst. App. 201 (2022) 117169. [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]
  • C. Mahato and G.C. Mahata, Optimal inventory policies for deteriorating items with expiration date and dynamic demand under two-level trade credit. Opsearch 58 (2021) 994–1017. [CrossRef] [MathSciNet] [Google Scholar]
  • C. Mahato and G.C. Mahata, Optimal replenishment, pricing and preservation technology investment policies for non-instantaneous deteriorating items under two-level trade credit policy. J. Ind. Manage. Optim. 18 (2022) 3499–3537. [CrossRef] [Google Scholar]
  • F. Mahato, C. Mahato and G.C. Mahata, Sustainable optimal production policies for an imperfect production system with trade credit under different carbon emission regulations. Environ. Dev. Sustain. 25 (2022) 10073–10099. [Google Scholar]
  • C. Mahato, F. Mahato and G.C. Mahata, Bi-level trade credit policy under pricing and preservation technology in inventory models for non-instantaneous deteriorating items under carbon tax policy. Sādhanā 48 (2023) 103–138. [Google Scholar]
  • F. Mahato, M. Choudhury and G.C. Mahata, Inventory models for deteriorating items with fixed lifetime, partial backordering and carbon emissions policies. J. Manage. Anal. 10 (2023) 129–190. [Google Scholar]
  • F. Mahato, M. Choudhury, S. Das and G.C. Mahata, Optimal pricing and replenishment decisions for non-instantaneous deteriorating items with a fixed lifetime and partial backordering under carbon regulations. Environ. Dev. Sustain. (2023) DOI: 10.1007/s10668-023-03536-y. [Google Scholar]
  • A.I. Malik and B. Sarkar, Disruption management in a constrained multi-product imperfect production system. J. Manuf. Syst. 56 (2020) 227–240. [CrossRef] [Google Scholar]
  • U. Mishra, J.Z. Wu and B. Sarkar, Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Clean. Prod. 279 (2021) 123699. [CrossRef] [Google Scholar]
  • İ. Özcan and S. Aytar, Application of polygonal fuzzy numbers to the basic economic order quantity model. Opsearch 59 (2022) 482–493. [CrossRef] [MathSciNet] [Google Scholar]
  • İ. Özcan and S.Z.A. Gök, On cooperative fuzzy bubbly games. J. Dyn. Games 8 (2021) 267–275. [CrossRef] [MathSciNet] [Google Scholar]
  • İ. Özcan and S.Z.A. Gök, On the fuzzy interval equal surplus sharing solutions. Kybernetes 51 (2021) 2753–2767. [Google Scholar]
  • İ. Özcan and S.Z.A. Gök and G.W. Weber, On sequencing fuzzy interval games. Manage. Prod. Eng. Rev. 14 (2023) 10–18. [Google Scholar]
  • İ. Özcan and S.Z.A. Gök and G.W. Weber, Peer group situations and games with fuzzy uncertainty. J. Ind. Manage. Optim. 20 (2024) 428–438. [CrossRef] [Google Scholar]
  • İ. Özcan, J. Sledzinski, S. Gök, M. Butlewski and G.W. Weber, Mathematical encouragement of companies to cooperate by using cooperative games with fuzzy approach. J. Ind. Manage. Optim. 19 (2023) 7180–7195. [CrossRef] [Google Scholar]
  • B. Pal, S.S. Sana and K. Chaudhuri, A multi-echelon supply chain model for reworkable items in multiple-markets with supply disruption. Econ. Model. 29 (2012) 1891–1898. [CrossRef] [Google Scholar]
  • S. Pal, G.S. Mahapatra and G.P. Samanta, An inventory model of price and stock dependent demand rate with deterioration under inflation and delay in payment. Int. J. Syst. Assur. Eng. Manage. 5 (2014) 591–601. [CrossRef] [Google Scholar]
  • S.R. Pathy and H. Rahimian, A resilient inventory management of pharmaceutical supply chains under demand disruption. Comput. Ind. Eng. 180 (2023) 109243. [CrossRef] [Google Scholar]
  • S. Piramuthu and W. Zhou, RFID and perishable inventory management with shelf-space and freshness dependent demand. Int. J. Prod. Econ. 144 (2013) 635–640. [Google Scholar]
  • Q. Qi, J. Wang and Q. Bai, Pricing decision of a two-echelon supply chain with one supplier and two retailers under a carbon cap regulation. J. Clean. Prod. 151 (2017) 286–302. [CrossRef] [Google Scholar]
  • C. Rout, A. Paul, R.S. Kumar, D. Chakraborty and A. Goswami, Cooperative sustainable supply chain for deteriorating item and imperfect production under different carbon emission regulations. J. Clean. Prod. 272 (2020) 122170. [CrossRef] [Google Scholar]
  • M. Sebatjane and O. Adetunji, A three-echelon supply chain for economic growing quantity model with price-and freshness-dependent demand: pricing, ordering and shipment decisions. Oper. Res. Perspect. 7 (2020) 100153. [MathSciNet] [Google Scholar]
  • A. Sepehri, U. Mishra and B. Sarkar, A sustainable production-inventory model with imperfect quality under preservation technology and quality improvement investment. J. Clean. Prod. 310 (2021) 127332. [CrossRef] [Google Scholar]
  • N.H. Shah, U. Chaudhari and M.Y. Jani, An integrated production-inventory model with preservation technology investment for time-varying deteriorating item under time and price sensitive demand. Int. J. Inventory Res. 3 (2016) 81–98. [CrossRef] [Google Scholar]
  • Y. Shen, K. Shen and C. Yang, A production inventory model for deteriorating items with collaborative preservation technology investment under carbon tax. Sustainability 11 (2019) 5027. [CrossRef] [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]
  • S. Tiwari, Y. Daryanto and H.M. Wee, Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission. J. Clean. Prod. 192 (2018) 281–292. [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]
  • M. Ullah, B. Sarkar and I. Asghar, Effects of preservation technology investment on waste generation in a two-echelon supply chain model. Mathematics 7 (2019) 189. [CrossRef] [MathSciNet] [Google Scholar]
  • X. Wang and D. Li, A dynamic product quality evaluation-based pricing model for perishable food supply chains. Omega 40 (2012) 906–917. [CrossRef] [Google Scholar]
  • G. Widyadana and H.M. Wee, An economic production quantity model for deteriorating items with preventive maintenance policy and random machine breakdown. Int. J. Syst. Sci. 43 (2012) 1870–1882. [CrossRef] [Google Scholar]
  • J. Wu, C.T. Chang, M.C. Cheng, J.T. Teng and F.B. Al-Khateeb, Inventory management for fresh produce when the time-varying demand depends on product freshness, stock level and expiration date. Int. J. Syst. Sci. Oper. Logistics 3 (2016) 138–147. [Google Scholar]
  • S. Yadav and A. Khanna, Sustainable inventory model for perishable products with expiration date and price reliant demand under carbon tax policy. Process Integr. Optim. Sustain. 5 (2021) 475–486. [CrossRef] [Google Scholar]
  • D. Yadav, R. Kumari, N. Kumar and B. Sarkar, Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology. J. Clean. Prod. 297 (2021) 126298. [CrossRef] [Google Scholar]

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