Open Access
Issue |
RAIRO-Oper. Res.
Volume 56, Number 2, March-April 2022
|
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Page(s) | 831 - 851 | |
DOI | https://doi.org/10.1051/ro/2021189 | |
Published online | 14 April 2022 |
- A.A. Alamri, Theory and methodology on the global optimal solution to a general reverse logistics inventory model for decorating items and time-varying rates. Comput Ind. Eng. 60 (2010) 236–247. [Google Scholar]
- A. Aminipour, Z. Bahroun and M. Hariga, Cyclic manufacturing and remanufacturing in a closed-loop supply chain. Sust. Prod. Consum. 25 (2021) 43–59. [Google Scholar]
- S. Bhuniya, S. Pareek and B. Sarkar, A supply chain model with service level constraints and strategies under uncertainty. Alex. 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]
- J. Chai, Z. Qian, F. Wang and J. Zhu, Process innovation for green product in a closed loop supply chain with remanufacturing. To appear. Ann. Oper. Res. (2021) 1–25. DOI: 10.1007/s10479-020-03888-y. [Google Scholar]
- C.C. Chang, C.J. Lu and C. Te, Multi-stage supply chain production-inventory model with collaborative preservation technology investment. To appear in: Sci. Iran. (2020). DOI: 10.24200/sci.2020.53357.3200. [Google Scholar]
- I.D. Cho, Analysis of optimal production and advertising policies. Int. J. Syst. Sci. 27 (1996) 1297–1305. [CrossRef] [Google Scholar]
- K. Conrad, Price competition and product differentiation when consumers care for the environment. Environ. Resour. Eco. 31 (2005) 1–19. [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. Appl. 184 (2021) 115464. [CrossRef] [Google Scholar]
- B. 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]
- W.A. Donaldson, Inventory replenishment policy for a linear trend in demand: an analytical solution. Opers. Res. Q. 28 (1977) 663–670. [Google Scholar]
- A.M.A. El Saadany and M.Y. Jaber, Reproduction/remanufacturing inventory model with price and quality dependent return rate. Comput. Ind. Eng. 58 (2010) 352–362. [CrossRef] [Google Scholar]
- A.M.A. El Saadany, M.Y. Jaber and M. Bonney, Environmental performance measures for supply chain. Manage. Res. Rev. 34 (2011) 1202–1221. [Google Scholar]
- L. Gennady, G.L. Brodetskiy, D.A. Gusev and I.G. Shidlovskii, Multi-criteria optimisation under the conditions of uncertainty in logistics and supply chain management. Int. J. Logist. Syst. Manage. 39 (2021) 207–227. [Google Scholar]
- S.K. Goyal and B.C. Giri, The production inventory problem of a product with time varying demand, production and deteriorates. Eur. J. Oper. Res. 145 (2003) 635–644. [Google Scholar]
- M.S. Habib, O. Asghar, A. Hussian, 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]
- S. Hazari, K. Maity, J.K. Dey and S. Kar, Advertisement policy and reliability dependent imperfect production inventory control problem in bi-fuzzy environment. Int. J. Oper. Res. 22 (2015) 342–365. [CrossRef] [MathSciNet] [Google Scholar]
- K. Inderfurth, A. Janiak, M.Y. Kovalyov and F. Werner, Batching work and rework processes with limited deterioration of reworkable. Comput. Oper. Res. 33 (2006) 1595–1605. [CrossRef] [Google Scholar]
- M. Karimi-Nasab, S. Dowlatshahi and H. Heidari, A multiobjective distribution-pricing model for multiperiod price sensitive demands. IEEE Trans. Eng. Manage. 60 (2013) 640–651. [Google Scholar]
- M.A.A. Khan, A.A. Shaikh, I. Konstantaras, A.K. Bhunia and L.E. Cárdenas-Barrón, Inventory models for perishable items with advanced payment, linearly time-dependent holding cost and demand dependent on advertisement and selling price. Int. J. Prod. Econ. 230 (2020) 107804. [CrossRef] [Google Scholar]
- S. Kumar, A. Kumar and M. Jain, Learning effect on an optimal policy for mathematical inventory model for decaying items under preservation technology with the environment of COVID-19 pandemic. Malaya J. Mat. 8 (2020) 1694–1702. [CrossRef] [MathSciNet] [Google Scholar]
- S. Kumar, B. Sarkar and A. Kumar, Fuzzy reverse logistics inventory model of smart items with two warehouses of a retailer considering carbon emissions. RAIRO-Oper. Res. 55 (2021) 2285–2307. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- Z. Liu, J. Chen, C. Diallo and U. Venkatadri, Pricing and production decisions in a dual-channel closed-loop supply chain with (re) manufacturing. Int. J. Prod. Econ. 232 (2021) 107935. [CrossRef] [Google Scholar]
- W.Y. Lo, C.H. Tsai and R.K. Li, Exact solution of inventory replenishment policy for a linear trend in demand- two-equation model. Int. J. Prod. Econ. 76 (2002) 111–120. [CrossRef] [Google Scholar]
- A.K. Manna, J.K. Dey and S.K. Mondal, Imperfect production inventory model with production rate dependent defective rate and advertisement dependent demand. Comput. Ind. Eng. 104 (2017) 9–22. [Google Scholar]
- S. Nahmias and H. Rivera, A deterministic model for a repairable item inventory system with finite repair rate. Int. J. Prod. Res. 17 (1979) 215–221. [CrossRef] [Google Scholar]
- S. Rani, R. Ali and A. Agarwal, Green supply chain inventory model for that your rating items with valuable demand and the inflation. IJBAN 3 (2017) 50. [Google Scholar]
- 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]
- 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]
- K. Richter, The extended EOQ for repair and waste disposal model. Int. J. Prod. Econ. 45 (1996) 443–447. [CrossRef] [Google Scholar]
- K. Richter, The EOQ repair and waste disposal model with variable set up numbers. Eur. J. Oper. Res. 9 (1996) 313–324. [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. Retail. Consum. Serv. 58 (2021) 102326. [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]
- B. Sarkar, A. Debnath, A.S.F. Chiu and W. Ahmed, Circular economy-driven two-stage supply chain management for nullifying waste. J. Clean. Prod. 339 (2022) 130513. [CrossRef] [Google Scholar]
- A.S.H. Kugele, W. Ahmed and B. Sarkar, Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system. To appear in: RAIRO Oper. Res. (2022). DOI: 10.1051/ro/2022028. [Google Scholar]
- B. Sarkar, M. Sarkar, B. Ganguly and 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]
- N. Saxena, S.R. Singh and S.S. Sana, A green supply chain model of vendor and buyer for remanufacturing. RAIRO-Oper. Res. 51 (2017) 1133–1150. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- A. Garai and B. Sarkar, Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel. J. Clean. Prod. 334 (2022) 129977. [CrossRef] [Google Scholar]
- D.A. Schrady, A deterministic inventory model for repairable items. Nav. Res. Logist. Q. 14 (1967) 391–398. [CrossRef] [Google Scholar]
- M. Sebatjane and O. Adetunji, Optimal lot-sizing and shipment decisions in a three-echelon supply chain for growing items with inventory level-and expiration date-dependent demand. Appl. Math. Model. 90 (2021) 1204–1225. [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]
- E.A. Silver and H.C. Meal, A simple modification of the EOQ for the case of varying demand rate. Prod. Invent. Manage. 10 (1969) 52–65. [Google Scholar]
- E.A. Silver and R. Peterson, Decision systems for inventory management and production planning, 2nd edition, Wiley, New York (1985). [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]
- M. Tayyab and B. Sarkar, An interactive fuzzy programming approach for a sustainable supplier selection under textile supply chain management. Comput. Ind. Eng. 155 (2021) 107164. [CrossRef] [Google Scholar]
- A.S. Mahapatra, H.N. Soni, M.S. Mahapatra and B. Sarkar, A continuous review production-inventory system with a variable preparation time in a fuzzy random environment. Mathematics 9 (2021) 747. [CrossRef] [Google Scholar]
- Y. Teng and B. Feng, Optimal channel structure for remanufacturing under cap-and-trade regulation. Processes 9 (2021) 370. [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. [Google Scholar]
- M. Ullah, I. Asghar, M. Zahid, M. Omair, A.A. Arjani and 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]
- R. UthayaKumar, K.V. Geetha and S.S. Sana, Economic ordering policy for non-instantaneous deteriorating items with price and advertisement dependent demand and permissible delay in payment under inflation. Math. Methods Appl. Sci. 44 (2021) 7697–7721. [CrossRef] [MathSciNet] [Google Scholar]
- G.A. Widyadana and H.M. Wee, An economic production quantity model for deteriorating items with multiple production setups and rework. Int. J. Prod. Econ. 138 (2012) 62–67. [Google Scholar]
- Vandana, 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]
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