Open Access
Issue
RAIRO-Oper. Res.
Volume 58, Number 5, September-October 2024
Page(s) 3947 - 3984
DOI https://doi.org/10.1051/ro/2023180
Published online 07 October 2024
  • S.F. Alamdar, M. Rabbani and J. Heydari, Pricing, collection, and effort decisions with coordination contracts in a fuzzy, three-level closed-loop supply chain. Expert Syst. Appl. 104 (2018) 261–76. [CrossRef] [Google Scholar]
  • K.A.C. Amankou, R. Guchhait, B. Sarkar, H. Dem, Product-specified dual-channel retail management with significant consumer service. J. Retail. Consum. Serv. 79 (2024) 103788. [CrossRef] [Google Scholar]
  • S.H. Amin and G. Zhang, An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Syst. Appl. 39 (2012) 6782–91. [CrossRef] [Google Scholar]
  • S.H. Amin, G. Zhang and P. Akhtar, Effects of uncertainty on a tire closed-loop supply chain network. Expert Syst. Appl. 73 (2017) 82–91. [CrossRef] [Google Scholar]
  • L.E. Cárdenas-Barrón, Economic production quantity with rework process at a single-stage manufacturing system with planned backorders. Comput. Ind. Eng. 57 (2009) 1105–13. [CrossRef] [Google Scholar]
  • L.E. Cárdenas-Barrón and G. Treviño-Garza, An optimal solution to a three echelon supply chain network with multi-product and multi-period. Appl. Math. Model. 38 (2014) 1911–8. [CrossRef] [MathSciNet] [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. (2023). [Google Scholar]
  • Y.C. Chen, An optimal production and inspection strategy with preventive maintenance error and rework. J. Manuf. Syst. 32 (2013) 99–106. [CrossRef] [Google Scholar]
  • S.K. Das and S.K. Roy, Effect of variable carbon emission in a multi-objective transportation-p-facility location problem under neutrosophic environment. Comput. Ind. Eng. 132 (2019) 311–24. [CrossRef] [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]
  • 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) 1258–80. [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]
  • J. Ghahremani-Nahr, R. Kian and E. Sabet, A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm. Expert Syst. Appl. 116 (2019) 454–71. [CrossRef] [Google Scholar]
  • S. Ghosh and S.K. Roy, Fuzzy-rough multi-objective product blending fixed-charge transportation problem with truck load constraints through transfer station. RAIRO:RO 55 (2021) S2923–52. [CrossRef] [EDP Sciences] [Google Scholar]
  • S. Ghosh, K.H. Küfer, S.K. Roy and G.W. Weber, Carbon mechanism on sustainable multi-objective solid transportation problem for waste management in Pythagorean hesitant fuzzy environment. Complex Intell. Syst. 8 (2022) 4115–43. [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]
  • R. Guchhait, S. Bhattacharya, B. Sarkar and A. Gunasekaran, Pricing strategy based on a stochastic problem with barter exchange under variable promotional effort for a retail channel. J. Retail. Consum. Serv. 81 (2024) 103954. [CrossRef] [Google Scholar]
  • J. Heydari, K. Govindan and A. Jafari, Reverse and closed loop supply chain coordination by considering government role. Transp. Res. Part D: Transp. Environ. 52 (2017) 379–98. [CrossRef] [Google Scholar]
  • C.W. Kang, M. Ullah, B. Sarkar, I. Hussain and R. Akhtar, Impact of random defective rate on lot size focusing work-in-process inventory in manufacturing system. Int. J. Prod. Res. 55 (2017) 1748–66. [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]
  • A. Khanna, A. Kishore, B. Sarkar and C.K. Jaggi, Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation. RAIRO:RO 54 (2020) 287–306. [CrossRef] [EDP Sciences] [Google Scholar]
  • B. Khara, J.K. Dey and S.K. Mondal, An integrated imperfect production system with advertisement dependent demand using branch and bound technique. Flex. Serv. Manuf. J. 33 (2021) 508–46. [CrossRef] [Google Scholar]
  • H. Ma and X. Li, Closed-loop supply chain network design for hazardous products with uncertain demands and returns. Appl. Soft Comput. 68 (2018) 889–99. [CrossRef] [Google Scholar]
  • S. Midya, S.K. Roy and V.F. Yu, Intuitionistic fuzzy multi-stage multi-objective fixed-charge solid transportation problem in a green supply chain. Int. J. Mach. Learn. Cybern. 12 (2021) 699–717. [CrossRef] [Google Scholar]
  • M. Mishra, S.K. Hota, S.K. Ghosh and B. Sarkar, Controlling waste and carbon emission for a sustainable closed-loop supply chain management under a cap-and-trade strategy. Mathematics 8 (2020) 466. [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]
  • A. Mondal and S.K. Roy, Multi-objective sustainable opened-and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation. Comput. Ind. Eng. 159 (2021) 107453. [CrossRef] [Google Scholar]
  • I. Moon, W.Y. Yun and B. Sarkar, Effects of variable setup cost, reliability, and production costs under controlled carbon emissions in a reliable production system. Eur. J. Ind. Eng. 16 (2022) 371–97. [CrossRef] [Google Scholar]
  • E.U. Olugu and K.Y. Wong, An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Syst. Appl. 39 (2012) 375–84. [CrossRef] [Google Scholar]
  • L.Y. Ouyang, C.K. Chen and H.C. Chang, Quality improvement, setup cost and lead-time reductions in lot size reorder point models with an imperfect production process. Comput. Ind. Eng. 29 (2002) 1701–17. [Google Scholar]
  • B. Pal, S.S. Sana and K. Chaudhuri, Multi-item EOQ model while demand is sales price and price break sensitive. Econ. Model. 29 (2012) 2283–8. [CrossRef] [Google Scholar]
  • S.S. Sana, J.A. Chedid and K.S. Navarro, A three layer supply chain model with multiple suppliers, manufacturers and retailers for multiple items. Appl. Math. Comput. 229 (2014) 139–50. [MathSciNet] [Google Scholar]
  • B. Sarkar and S. Saren, Product inspection policy for an imperfect production system with inspection errors and warranty cost. Eur. J. Oper. Res. 248 (2016) 263–71. [CrossRef] [Google Scholar]
  • M. Sarkar and B. Sarkar, How does an industry reduce waste and consumed energy within a multi-stage smart sustainable biofuel production system?. J. Clean. Prod. 262 (2020) 121200. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Ullah and N. Kim, Environmental and economic assessment of closed-loop supply chain with remanufacturing and returnable transport items. Comput. Ind. Eng. 111 (2017) 148–63. [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. Ind. Eng. 135 (2019) 987–1003. [CrossRef] [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]
  • B. Sarkar, B. Mridha, S. Pareek, M. Sarkar and L. Thangavelu, A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. J. Clean. Prod. 317 (2021) 128079. [CrossRef] [Google Scholar]
  • B. Sarkar, B. Ganguly, S. Pareek and L.E. Cárdenas-Barrón, A three-echelon green supply chain management for biodegradable products with three transportation modes. Comput. Ind. Eng. 174 (2022) 108727. [CrossRef] [Google Scholar]
  • B. Sarkar, J. Joo, Y. Kim, H. Park and M. Sarkar, Controlling defective items in a complex multi-phase manufacturing system. RAIRO:RO 56 (2022). [Google Scholar]
  • B. Sarkar, B.K. Dey, M. Sarkar, S.J. Kim, A smart production system with an autonomation technology and dual channel retailing. Comput. Ind. Eng. 173 (2022) 108607. [CrossRef] [Google Scholar]
  • N. Saxena, B. Sarkar, H.M. Wee, S. Reong, S. Singh and Y. Hsiao, A reverse logistics model with eco-design under the Stackelberg-Nash equilibrium and centralized framework. J. Clean. Prod. 387 (2023) 135789. [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. Clean. Prod. 310 (2021) 127332. [CrossRef] [Google Scholar]
  • D. Shin, M. Mittal and B. Sarkar, Effects of human errors and trade-credit financing in two-echelon supply chain models. Eur. J. Ind. Eng. 12 (2018) 465–503. [Google Scholar]
  • A.A. Taleizadeh, S.S. Kalantari and L.E. Cárdenas-Barrón, Pricing and lot sizing for an EPQ inventory model with rework and multiple shipments. Top 24 (2016) 143–55. [CrossRef] [MathSciNet] [Google Scholar]
  • M. Tayyab, J. Jemai, H. Lim and B. Sarkar, A sustainable development framework for a cleaner multi-item multi-stage textile production system with a process improvement initiative. J. Clean. Prod. 246 (2020) 119055. [CrossRef] [Google Scholar]
  • S. Tiwari, W. Ahmed and B. Sarkar, Sustainable ordering policies for non-instantaneous deteriorating items under carbon emission and multi-trade-credit-policies. J. Clean. Prod. 240 (2019) 118183. [CrossRef] [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) 360–74. [CrossRef] [Google Scholar]
  • M. Ullah, I. Asghar, M. Zahid, M. Omair, A. AlArjani 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]
  • K. Wang, P. Ding and R. Zhao, Strategic credit sales to express retail under asymmetric default risk and stochastic market demand. Omega 101 (2021) 102253. [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]
  • H.F. Yu, W.K. Hsu and W.J. Chang, EOQ model where a portion of the defectives can be used as perfect quality. Int. J. Syst. Sci. 43 (2012) 1689–98. [CrossRef] [Google Scholar]

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