Open Access
RAIRO-Oper. Res.
Volume 56, Number 3, May-June 2022
Page(s) 1623 - 1653
Published online 30 June 2022
  • W. Ahmed, M. Moazzam, B. Sarkar and S.U. Rehman, Synergic effect of reworking for imperfect quality items with the integration of multi-period delay-in-payment and partial backordering in global supply chains. Engineering 7 (2021) 260–271. [CrossRef] [MathSciNet] [Google Scholar]
  • A. AlArjani, U.M. Modibbo, I. Ali and B. Sarkar, A new framework for the sustainable development goals of Saudi Arabia. J. King Saud Univ.-Sci. 33 (2021) 101477. [CrossRef] [Google Scholar]
  • L. Bao, Z. Liu, Y. Yu and W. Zhang, On the decomposition property for a dynamic inventory rationing problem with multiple demand classes and backorder. Eur. J. Oper. Res. 265 (2018) 99–106. [CrossRef] [Google Scholar]
  • M. Ben-Daya and A. Raouf, Inventory models involving lead time as a decision variable. J. Oper. Res. Soc. 45 (1994) 579–582. [Google Scholar]
  • S. Bhat and A. Krishnamurthy, Production control policies to maintain service levels in different seasons. J. Manuf. Syst. 41 (2016) 31–44. [CrossRef] [Google Scholar]
  • S. Bhuniya, S. Pareek and B. Sarkar, A supply chain model with service level constraints and strategies under uncertainty. Alexandria Eng. J. 60 (2021) 6035–6052. [CrossRef] [Google Scholar]
  • S. Bhuniya, S. Pareek, B. Sarkar and B.K. Sett, A smart production process for the optimum energy consumption with maintenance policy under a supply chain management. Processes 9 (2021) 19. [Google Scholar]
  • X. Chao, B. Yang and Y. Xu, Dynamic inventory and pricing policy in a capacitated stochastic inventory system with fixed ordering cost. Oper. Res. Lett. 40 (2012) 99–107. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Chaudhuri, P.P. Datta, K.J. Fernandes and Y. Xiong, Optimal pricing strategies for manufacturing-as-a service platforms to ensure business sustainability. Int. J. Prod. Econ. 234 (2021) 108065. [CrossRef] [Google Scholar]
  • R. Clemons and S.A. Slotnick, The effect of supply-chain disruption, quality and knowledge transfer on firm strategy. Int. J. Prod. Econ. 178 (2016) 169–186. [CrossRef] [Google Scholar]
  • X.J. Dang, G.B. Bi, C.Y. Liu and Y. Xu, Optimal financing strategies with 3PL customized service in a capital-constrained supply chain. Electron. Commerce Res. App. 50 (2021) 101090. [CrossRef] [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. Expert Syst. App. 184 (2021) 115464. [CrossRef] [Google Scholar]
  • B.K. Dey, S. Pareek, M. Tayyab and B. Sarkar, Autonomation policy to control work-in-process inventory in a smart production system. Int. J. Prod. Res. 59 (2021) 1258–1280. [Google Scholar]
  • B.K. Dey, B. Sarkar and H. Seok, Cost-effective smart autonomation policy for a hybrid manufacturing–remanufacturing. Comput. Ind. Eng. 162 (2021) 107758. [CrossRef] [Google Scholar]
  • M. ElHafsi, J. Fang and E. Hamouda, Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models. Eur. J. Oper. Res. 291 (2021) 147–161. [CrossRef] [Google Scholar]
  • A. Garai and B. Sarkar, Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel. J. Cleaner Prod. 334 (2022) 129977. [CrossRef] [Google Scholar]
  • A. Garai, S. Chowdhury, B. Sarkar and T.K. Roy, Cost-effective subsidy policy for growers and biofuels-plants in closed-loop supply chain of herbs and herbal medicines: an interactive bi-objective optimization in T-environment. Appl. Soft Comput. 100 (2021) 106949. [CrossRef] [Google Scholar]
  • C.H. Glock, Lead time reduction strategies in a single-vendor–single-buyer integrated inventory model with lot size-dependent lead times and stochastic demand. Int. J. Prod. Econ. 136 (2012) 37–44. [CrossRef] [Google Scholar]
  • K. Govindan and A. Malomfalean, A framework for evaluation of supply chain coordination by contracts under O2O environment. Int. J. Prod. Econ. 215 (2019) 11–23. [Google Scholar]
  • K. Govindan, S.G. Azevedo, H. Carvalho and V. Cruz-Machado, Impact of supply chain management practices on sustainability. J. Cleaner Prod. 85 (2014) 212–225. [CrossRef] [Google Scholar]
  • R. Guchhait and B. Sarkar, Economic and environmental assessment of an unreliable supply chain management. RAIRO: OR 55 (2021) 3153–3170. [CrossRef] [EDP Sciences] [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. Cleaner Prod. 278 (2021) 122403. [CrossRef] [Google Scholar]
  • Z. He, T. Cheng, J. Dong and S. Wang, Evolutionary location and pricing strategies for service merchants in competitive O2O markets. Eur. J. Oper. Res. 254 (2016) 595–609. [CrossRef] [Google Scholar]
  • B. He, P. Mirchandani and Y. Wang, Removing barriers for grocery stores: O2O platform and self-scheduling delivery capacity. Transp. Res. Part E: Logistics Transp. Rev. 141 (2020) 102036. [CrossRef] [Google Scholar]
  • J. Heydari, P. Zaabi-Ahmadi and T.M. Choi, Coordinating supply chains with stochastic demand by crashing lead times. Comput. Oper. Res. 100 (2018) 394–403. [Google Scholar]
  • J. Ji, Z. Zhang and L. Yang, Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation. Int. J. Prod. Econ. 187 (2017) 68–84. [CrossRef] [Google Scholar]
  • B. Jiang and B. Yang, Quality and pricing decisions in a market with consumer information sharing. Manage. Sci. 65 (2019) 272–285. [CrossRef] [Google Scholar]
  • H. Jodlbauer and S. Reitner, Optimizing service-level and relevant cost for a stochastic multi-item cyclic production system. Int. J. Prod. Econ. 136 (2012) 306–317. [CrossRef] [Google Scholar]
  • M. Khan, M. Hussain and L.E. Cárdenas-Barrón, Learning and screening errors in an EPQ inventory model for supply chains with stochastic lead time demands. Int. J. Prod. Res. 55 (2017) 4816–4832. [Google Scholar]
  • R. Kumar, R.K. Chandrawat, B. Sarkar, V. Joshi and A. Majumder, An advanced optimization technique for smart production using α-cut based quadrilateral fuzzy number. Int. J. Fuzzy Syst. 23 (2021) 107–127. [CrossRef] [Google Scholar]
  • B. Khurshid, S. Maqsood, M. Omair, B. Sarkar, M. Saad and U. Asad, Fast evolutionary algorithm for flow shop scheduling problems. IEEE Access. 9 (2021) 44825–44839. [CrossRef] [Google Scholar]
  • W.C. Lee, J.W. Wu and C.L. Lei, Computational algorithmic procedure for optimal inventory policy involving ordering cost reduction and back-order discounts when lead time demand is controllable. Appl. Math. Comput. 189 (2007) 186–200. [Google Scholar]
  • X. Li, Valuing lead-time and its variance in batch-ordering inventory policies. Int. J. Prod. Econ. 228 (2020) 107731. [CrossRef] [Google Scholar]
  • X. Li, Y. Li and W. Cao, Cooperative advertising models in O2O supply chains. Int. J. Prod. Econ. 215 (2019) 144–152. [Google Scholar]
  • K.R. Lou and W.C. Wang, A comprehensive extension of an integrated inventory model with ordering cost reduction and permissible delay in payments. Appl. Math. Model. 37 (2013) 4709–4716. [Google Scholar]
  • D. Ma, J. Hu and F. Yao, Big data empowering low-carbon smart tourism study on low-carbon tourism O2O supply chain considering consumer behaviors and corporate altruistic preferences. Comput. Ind. Eng. 153 (2021) 107061. [CrossRef] [Google Scholar]
  • A.S. Mahapatra, H.N. Soni, M.S. Mahapatra, B. Sarkar and S. Majumder, A continuous review production-inventory system with a variable preparation time in a fuzzy random environment. Mathematics 9 (2021) 747. [CrossRef] [Google Scholar]
  • A.H.M. Mashud and B. Sarkar, Retailer’s joint pricing model through an effective preservation strategy under a trade-credit policy. RAIRO: OR 55 (2021) 1799. [CrossRef] [EDP Sciences] [Google Scholar]
  • U. Mishra, J.Z. Wu and B. Sarkar, Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Cleaner Prod. 279 (2021) 123699. [CrossRef] [Google Scholar]
  • R. Nandra, K.R. Marak, R. Kaur, B.K. Dey and A. Majumder, Establishing relation between production rate and product quality in a single-vendor multi-buyer supply chain model. Int. J. Serv. Oper. Inf. 11 (2021) 315–331. [Google Scholar]
  • R. Nandra, A. Majumder and M. Mishra, A multi-retailer sustainable supply chain model with information sharing and quality deterioration. RAIRO: OR 55 (2021) S2773–S2794. [CrossRef] [EDP Sciences] [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. Panda, M.K. Maiti and M. Maiti, Two warehouse inventory models for single vendor multiple retailers with price and stock dependent demand. Appl. Math. Modell. 34 (2010) 3571–3585. [CrossRef] [Google Scholar]
  • V. Pando, L.A. San-José, J. Sicilia and D. Alcaide-Lopez-de Pablo, Maximization of the return on inventory management expense in a system with price-and stock-dependent demand rate. Comput. Oper. Res. 127 (2021) 105134. [CrossRef] [Google Scholar]
  • Z. Pei, B.R. Wooldridge and K.R. Swimberghe, Manufacturer rebate and channel coordination in O2O retailing. J. Retailing Consum. Serv. 58 (2021) 102268. [CrossRef] [Google Scholar]
  • S. Saha, D. Chatterjee and B. Sarkar, The ramification of dynamic investment on the promotion and preservation technology for inventory management through a modified flower pollination algorithm. J. Retailing Consum. Serv. 58 (2021) 102326. [CrossRef] [Google Scholar]
  • S. Samanta, V.K. Dubey and B. Sarkar, Measure of influences in social networks. Appl. Soft Comput. 99 (2021) 106858. [CrossRef] [Google Scholar]
  • S.S. Sana, Price competition between green and non green products under corporate social responsible firm. J. Retailing Consum. Serv. 55 (2020) 102118. [CrossRef] [Google Scholar]
  • S.S. Sana and K. Chaudhuri, A deterministic EOQ model with delays in payments and price-discount offers. Eur. J. Oper. Res. 184 (2008) 509–533. [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. Ullah and S.B. Choi, Joint inventory and pricing policy for an online to offline closed-loop supply chain model with random defective rate and returnable transport items. Mathematics 7 (2019) 497. [Google Scholar]
  • B. Sarkar, B.K. Dey, M. Sarkar and A. AlArjani, A sustainable online-to-offline (O2O) retailing strategy for a supply chain management under controllable lead time and variable demand. Sustainability 13 (2021) 1756. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Ullah and M. Sarkar, Environmental and economic sustainability through innovative green products by remanufacturing. J. Cleaner Prod. 332 (2022) 129813. [CrossRef] [Google Scholar]
  • B. Sarkar, B. Mridha and S. Pareek, A sustainable smart multi-type biofuel manufacturing with the optimum energy utilization under flexible production. J. Cleaner Prod. 332 (2022) 129869. [CrossRef] [Google Scholar]
  • B. Sarkar, A. Debnath, A.S. Chiu and W. Ahmed, Circular economy-driven two-stage supply chain management for nullifying waste. J. Cleaner Prod. 339 (2022) 130513. [CrossRef] [Google Scholar]
  • A. Sepehri, U. Mishra, M.L. Tseng and B. Sarkar, Joint pricing and inventory model for deteriorating items with maximum lifetime and controllable carbon emissions under permissible delay in payments. Mathematics 9 (2021) 470. [CrossRef] [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. Cleaner Prod. 310 (2021) 127332. [CrossRef] [Google Scholar]
  • B.K. Sett, B.K. Dey and B. Sarkar, The effect of O2O retail service quality in supply chain management. Mathematics 8 (2020) 1743. [CrossRef] [Google Scholar]
  • S.R. Singh, D. Yadav, B. Sarkar and M. Sarkar, Impact of energy and carbon emission of a supply chain management with two-level trade-credit policy. Energies 14 (2021) 1569. [CrossRef] [Google Scholar]
  • A. Srivastav and S. Agrawal, Multi-objective optimization of hybrid backorder inventory model. Expert Syst. App. 51 (2016) 76–84. [CrossRef] [Google Scholar]
  • Z. Xu, H. Zhang, J. Zhang and R.Q. Zhang, Online demand fulfillment under limited flexibility. Manage. Sci. 66 (2020) 4667–4685. [CrossRef] [Google Scholar]

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