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All issues Volume 58 / No 4 (July-August 2024) RAIRO-Oper. Res., 58 4 (2024) 2645-2667 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 58, Number 4, July-August 2024
Page(s) 2645 - 2667
DOI https://doi.org/10.1051/ro/2023191
Published online 02 July 2024
  • A. Aazami and M. Saidi-Mehrabad, A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application. J. Manuf. Syst. 58 (2021) 223–247. [CrossRef] [Google Scholar]
  • A.S.H. Kugele and B. Sarkar, Reducing carbon emissions of a multi-stage smart production for biofuel towards sustainable development. Alex. Eng. J. 70 (2023) 93–113. [CrossRef] [Google Scholar]
  • M.M. AlDurgam, An integrated inventory and workforce planning Markov decision process model with a variable production rate. IFAC-PapersOnLine 52 (2019) 2792–2797. [CrossRef] [Google Scholar]
  • M. AlDurgam, K. Adegbola and C.H. Glock, A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate. Int. J. Prod. Econ. 191 (2017) 335–350. [CrossRef] [Google Scholar]
  • U. Chaudhari, A. Bhadoriya, M.Y. Jani and B. Sarkar, A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations. Math. Comput. Simul. 207 (2023) 556–574. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Ullah and M. Sarkar, Environmental and economic sustainability through innovative green products by remanufacturing. J. Clean. Prod. 332 (2022) 129813. [CrossRef] [Google Scholar]
  • L. Cui, J. Deng, Y. Zhang, G. Tang and M. Xu, Hybrid differential artificial bee colony algorithm for multi-item replenishment-distribution problem with stochastic lead-time and demands. J. Clean. Prod. 254 (2020) 119873. [CrossRef] [Google Scholar]
  • I. D Wangsa and H.M. Wee, An integrated vendor–buyer inventory model with transportation cost and stochastic demand. Int. J. Syst. Sci. Oper. Logistics 5 (2018) 295–309. [Google Scholar]
  • N.A. Darom, H. Hishamuddin, R. Ramli, Z.M. Nopiah and R.A. Sarker, An integrated vendor–buyer model subject to supply disruption with transportation cost. J. Mech. Eng. 7 (2018) 241–258. [Google Scholar]
  • A. Debnath and B. Sarkar, Effect of circular economy for waste nullification under a sustainable supply chain management. J. Clean. Prod. 385 (2023) 135477. [CrossRef] [Google Scholar]
  • M.S. Habib, O. Asghar, A. Hussain, M. Imran, M.P. Mughal and B. Sarkar, A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. J. Clean. Prod. 278 (2021) 122403. [CrossRef] [Google Scholar]
  • M. Ullah, I. Asghar, M. Zahid, M. Omair, A. AlArjani, B. Sarkar, Ramification of remanufacturing in a sustainable three-echelon closed-loop supply chain management for returnable products. J. Clean. Prod. 290 (2021) 125609. [CrossRef] [Google Scholar]
  • B.K. Dey, J. Park and H. Seok, Carbon-emission and waste reduction of a manufacturing–remanufacturing system using green technology and autonomated inspection. RAIRO-Oper. Res. 56 (2022) 2801–2831. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • G. Gallego and I. Moon, The distribution free newsboy problem: review and extensions. J. Oper. Res. Soc. 44 (1993) 825–834. [Google Scholar]
  • P. Gautam, S. Maheshwari, A. Hasan, A. Kausar and C.K. Jaggi, Optimal inventory strategies for an imperfect production system with advertisement and price reliant demand under rework option for defectives. RAIRO-Oper. Res. 56 (2022) 183–197. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • B.C. Giri and A. Dash, Optimal batch shipment policy for an imperfect production system under price-, advertisement-and green-sensitive demand. J. Manage. Anal. 9 (2022) 86–119. [Google Scholar]
  • S.K. Goyal, An integrated inventory model for a single supplier-single customer problem. Int. J. Prod. Res. 15 (1977) 107–111. [Google Scholar]
  • B. Sarkar, M. Sarkar, B. Ganguly, L.E. Cárdenas Barrón, Combined effects of carbon emission and production quality improvement for fixed lifetime products in a sustainable supply chain management. Int. J. Prod. Econ. 231 (2021) 107867. [CrossRef] [Google Scholar]
  • J. Heydari, K. Govindan and A. Aslani, Pricing and greening decisions in a three-tier dual channel supply chain. Int. J. Prod. Econ. 217 (2019) 185–196. [CrossRef] [Google Scholar]
  • S. Kar, K. Basu and B. Sarkar, Advertisement policy for dual-channel within emissions-controlled flexible production system. J. Retail. Consum. Serv. 71 (2023) 103077. [CrossRef] [Google Scholar]
  • M.A.A. Khan, A.A. Shaikh, G.C. Panda, I. Konstantaras and L.E. Cárdenas-Barrón, The effect of advance payment with discount facility on supply decisions of deteriorating products whose demand is both price and stock dependent. Int. Trans. Oper. Res. 27 (2020) 1343–1367. [Google Scholar]
  • B. Khorshidvand, H. Soleimani, S. Sibdari and M.M.S. Esfahani, A hybrid modeling approach for green and sustainable closed-loop supply chain considering price, advertisement and uncertain demands. Comput. Ind. Eng. 157 (2021) 107326. [CrossRef] [Google Scholar]
  • M. Khouja and A. Mehrez, Economic production lot size model with variable production rate and imperfect quality. J. Oper. Res. Soc. 45 (1994) 1405–1417. [Google Scholar]
  • E. Kim and M.P. Van Oyen, Joint admission, production sequencing, and production rate control for a two-class make-to-order manufacturing system. J. Manuf. Syst. 59 (2021) 413–425. [CrossRef] [Google Scholar]
  • R.A.C. Leuveano, M.N. Ab Rahman, W.M.F. Wan Mahmood and C. Saleh, Integrated vendor–buyer lot-sizing model with transportation and quality improvement consideration under just-in-time problem. Mathematics 7 (2019) 944. [CrossRef] [Google Scholar]
  • X. Li, N. Li, I. Kolmanovsky and B.I. Epureanu, Stochastic model predictive control for remanufacturing system management. J. Manuf. Syst. 59 (2021) 355–366. [CrossRef] [Google Scholar]
  • C.-J. Liao and C.-H. Shyu, Stochastic inventory model with controllable lead time. Int. J. Syst. Sci. 22 (1991) 2347–2354. [CrossRef] [Google Scholar]
  • N. Ma, Y. Liu and Z. Zhou, Two heuristics for the capacitated multi-period cutting stock problem with pattern setup cost. Comput. Oper. Res. 109 (2019) 218–229. [CrossRef] [MathSciNet] [Google Scholar]
  • S. Saha, B. Sarkar and M. Sarkar, Application of improved meta-heuristic algorithms for green preservation technology management to optimize dynamical investments and replenishment strategies. Math. Comput. Simul. 209 (2023) 426–450 [CrossRef] [Google Scholar]
  • A.H.M. Mashud, H.M. Wee, C.V. Huang and J.Z. Wu, Optimal replenishment policy for deteriorating products in a newsboy problem with multiple just-in-time deliveries. Mathimatics 8 (2020) 1981. [Google Scholar]
  • M. Mandeep and B. Sarkar. Stochastic behavior of exchange rate on an international supply chain under random energy price. Math. Comput. Simulat. 205 (2023) 232–250. [CrossRef] [Google Scholar]
  • Z. Michna, S.M. Disney and P. Nielsen, The impact of stochastic lead times on the bullwhip effect undercorrelated demand and moving average forecasts. Omega 93 (2020) 102033. [CrossRef] [Google Scholar]
  • M.G. Mirzaei, F. Goodarzian, K. Mokhtari, M. Yazdani and A. Shokri, Designing a dual-channel closed loop supply chain network using advertising rate and price-dependent demand: Case study in tea industry. Exp. Syst. App. (2023) 120936. [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]
  • I. Moon and G. Gallego, Distribution free procedures for some inventory models. J. Oper. Res. Soc. 45 (1994) 651–658. [CrossRef] [Google Scholar]
  • M. Noori-Daryan, A.A. Taleizadeh and F. Jolai, Analyzing pricing, promised delivery lead time, supplier-selection, and ordering decisions of a multi-national supply chain under uncertain environment. Int. J. Prod. Econ. 209 (2019) 236–248. [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]
  • M.D. Roy and S.S. Sana, Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing. RAIRO-Oper. Res. 55 (2021) S1469–S1485. [CrossRef] [EDP Sciences] [Google Scholar]
  • K. Salas-Navarro, J.M. Romero-Montes, J. Acevedo-Chedid, H. Ospina-Mateus, W.F. Florez and L.E. Cárdenas-Barrón, Vendor managed inventory system considering deteriorating items and probabilistic demand for a three-layer supply chain. Exp. Syst. App. 218 (2023) 119608. [CrossRef] [Google Scholar]
  • L.A. San-José, J. Sicilia and B. Abdul-Jalbar, Optimal policy for an inventory system with demand dependent on price, time and frequency of advertisement. Comput. Oper. Res. 128 (2021) 105169. [CrossRef] [Google Scholar]
  • P. Saranya and E. Chandrasekaran, Optimal inventory system for deteriorated goods with time-varying demand rate function and advertisement cost. Array 19 (2023) 100307. [CrossRef] [Google Scholar]
  • R. Guchhait and B. Sarkar, A decision-making problem for product outsourcing with flexible production under a global supply chain management. Int. J. Prod. Econ. 272 (2024) 109230. [CrossRef] [Google Scholar]
  • M. Sarkar and B.D. Chung, Flexible work-in-process production system in supply chain management under quality improvement. Int. J. Prod. Res. 58 (2020) 3821–3838. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Tayyab, N. Kim and M.S. Habib, Optimal production delivery policies for supplier and manufacturer in a constrained closed-loop supply chain for returnable transport packaging through metaheuristic approach. Comp. Indust. Eng. 135 (2019) 987–1003. [CrossRef] [Google Scholar]
  • A. Taleizadeh, G. Widyadanab, H. Wee and J. Biabanid, Multi products single machine economic production quantity model with multiple batch size. Int. J. Ind. Eng. Comput. 2 (2011) 213–224. [Google Scholar]
  • B. Sarkar and R. Guchhait, Ramification of information asymmetry on a green supply chain management with the cap-trade, service, and vendor-managed inventory strategies. Elect. Commer. Res. App. 60 (2023) 101274. [CrossRef] [Google Scholar]
  • B Sarkar, M. Tayyab, N. Kim and M.S. Habib, A cooperative advertising collaboration policy in supply chain management under uncertain conditions. Comp. Indust. Eng. 135 (2019) 987–1003. [CrossRef] [Google Scholar]
  • A. Taleizadeh, L. Cárdenas-Barrón, J. Biabani and R. Nikousokhan, Multi products single machine EPQ model with immediate rework process. Int. J. Ind. Eng. Comput. 3 (2012) 93–102. [Google Scholar]
  • A.A. Taleizadeh, D.W. Pentico, M. Aryanezhad and S.M. Ghoreyshi, An economic order quantity model with partial backordering and a special sale price. Eur. J. Oper. Res. 221 (2012) 571–583. [Google Scholar]
  • R. Udayakumar, An EOQ model for non-instantaneous deteriorating items with time-dependent demand under partial backlogging. J. Manage. Anal. 9 (2022) 514–531. [Google Scholar]
  • M. Ullah and B. Sarkar, Recovery-channel selection in a hybrid manufacturing-remanufacturing production model with RFID and product quality. Int. J. Prod. Econ. 219 (2020) 360–374. [Google Scholar]
  • B.K. Dey S. Bhuniya and B. Sarkar, Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Exp. Syst. App. 184 (2021) 115464. [CrossRef] [Google Scholar]
  • S. Viswanathan, Optimal strategy for the integrated vendor–buyer inventory model. Eur. J. Oper. Res. 105 (1998) 38–42. [Google Scholar]

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