Open Access
Issue
RAIRO-Oper. Res.
Volume 58, Number 2, March-April 2024
Page(s) 1451 - 1472
DOI https://doi.org/10.1051/ro/2024019
Published online 05 April 2024
  • R. Banker, I. Khosla and K. Sinha, Quality and competition. Manage. Sci. 44 (1998) 1179–1192. [CrossRef] [Google Scholar]
  • S. Bhaskaran and V. Krishnan, Effort, revenue, and cost sharing mechanisms for collaborative new product development. Manage. Sci. 55 (2009) 1152–1169. [CrossRef] [MathSciNet] [Google Scholar]
  • G. Cai, Z. Zhang and M. Zhang, Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes. Int. J. Prod. Econ. 117 (2009) 80–96. [CrossRef] [Google Scholar]
  • J. Cai, J. Wu, M. Xiao, B. Liu and W. Wang, Structure selection and coordination in dual-channel supply chains. J. Ind. Eng. Manage. 8 (2015) 453–475. [Google Scholar]
  • X. Cao, L. Ji, X. Lin and W. Stevens, Comprehensive diagnosis of PCDD/F emission from three hazardous waste incinerators. R. Soc. Open Sci. 5 (2018) 172056. [CrossRef] [Google Scholar]
  • C. Carter and D. Rogers, A framework of sustainable supply chain management: moving toward new theory. Int. J. Phys. Distrib. Logistics Manage. 38 (2008) 360–387. [CrossRef] [Google Scholar]
  • C.K. Chen and M. Akmalul’Ulya, Analyses of the reward-penalty mechanism in green closed-loop supply chains with product remanufacturing. Int. J. Prod. Econ. 210 (2019) 211–223. [CrossRef] [Google Scholar]
  • K. Chen, M. Kaya, and Ö. Özer, Dual sales channel management with service competition. Manuf. Serv. Oper. Manage. 10 (2008) 654–675. [CrossRef] [Google Scholar]
  • W. Chiang, D. Chhajed and J. Hess, Direct marketing, indirect profits: a strategic analysis of dual-channel supply-chain design. Manage. Sci. 49 (2003) 1–20. [CrossRef] [Google Scholar]
  • M. Dolai, A. Banu and S. Mondal, Analyzing an imperfect production inventory model for green products considering learning effect on screening process under advertisement dependent credit period. J. Ind. Manage. Optim. 19 (2023) 1. [Google Scholar]
  • I. Ghalehkhondabi, R. Maihami and E. Ahmadi, Optimal pricing and environmental improvement for a hazardous waste disposal supply chain with emission penalties. Util. Policy 62 (2020) 101001. [CrossRef] [Google Scholar]
  • D. Ghosh and J. Shah, Supply chain analysis under green sensitive consumer demand and cost sharing contract. Int. J. Prod. Econ. 164 (2015) 319–329. [Google Scholar]
  • R. Giri, S. Mondal and M. Maiti, Government intervention on a competing supply chain with two green manufacturers and a retailer. Comput. Ind. Eng. 128 (2018) 104–121. [Google Scholar]
  • A. Hafezalkotob and S. Zamani, A multi-product green supply chain under government supervision with price and demand uncertainty. J. Ind. Eng. Int. 15 (2019) 193–206. [CrossRef] [Google Scholar]
  • K. Halat and A. Hafezalkotob, Modeling carbon regulation policies in inventory decisions of a multistage green supply chain: a game theory approach. Comput. Ind. Eng. 128 (2019) 807–830. [CrossRef] [Google Scholar]
  • V. Inglezakis and K. Moustakas, Household hazardous waste management: a review. J. Environ. Manage. 150 (2015) 310–321. [CrossRef] [Google Scholar]
  • B. Li, P. Chen, Q. Li and W. Wang, Dual-channel supply chain pricing decisions with a risk-averse retailer. Int. J. Prod. Res. 52 (2014) 7132–7147. [Google Scholar]
  • B. Li, M. Zhu, Y. Jiang and Z. Li, Pricing policies of a competitive dual-channel green supply chain. J. Cleaner Prod. 112 (2015) 2029–2042. [Google Scholar]
  • B. Li, P. Hou, P. Chen and Q. Li, Pricing strategy and coordination in a dual channel supply chain with a risk-averse retailer. Int. J. Prod. Econ. 178 (2016) 154–168. [CrossRef] [Google Scholar]
  • J. Linton, R. Klassen and V. Jayaraman, Sustainable supply chains: an introduction. J. Oper. Manage. 25 (2007) 1075–1082. [CrossRef] [Google Scholar]
  • Z. Liu, Y. Wu, T. Liu, X. Wang, W. Li, Y. Yin and X. Xiao, Double path optimization of transport of industrial hazardous waste based on green supply chain management. Sustainability 13 (2021) 5215. [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) 889–899. [CrossRef] [Google Scholar]
  • N. Ma, R. Gao, X. Wang and P. Li, Green supply chain analysis under cost sharing contract with uncertain information based on confidence level. Soft Comput. 24 (2020) 2617–2635. [CrossRef] [Google Scholar]
  • M. Mohammadi, S. J¨ams¨a-Jounela and I. Harjunkoski, Optimal planning of municipal solid waste management systems in an integrated supply chain network. Comput. Chem. Eng. 123 (2019) 155–169. [CrossRef] [Google Scholar]
  • S. Panja and S. Mondal, Analyzing a four-layer green supply chain imperfect production inventory model for green products under type-2 fuzzy credit period. Comput. Ind. Eng. 129 (2019) 435–453. [CrossRef] [Google Scholar]
  • S. Panja and S. Mondal, Exploring a two-layer green supply chain game theoretic model with credit linked demand and mark-up under revenue sharing contract. J. Cleaner Prod. 250 (2020) 119491. [CrossRef] [Google Scholar]
  • T. Peral, An integrated contract for coordinating a three-stage green forward and reverse supply chain under fairness concerns. J. Cleaner Prod. 279 (2021) 123735. [CrossRef] [Google Scholar]
  • M. Rabbani, R. Heidari and R. Yazdanparast, A stochastic multi-period industrial hazardous waste location-routing problem: integrating NSGA-II and Monte Carlo simulation. Eur. J. Oper. Res. 272 (2019) 945–961. [CrossRef] [Google Scholar]
  • N. Safdar, R. Khalid, W. Ahmed and M. Imran, Reverse logistics network design of e-waste management under the triple bottom line approach. J. Cleaner Prod. 272 (2020) 122622. [Google Scholar]
  • G. Vogel, Air emission control at hazardous waste management facilities. J. Air Pollut. Control Assoc. 35 (1985) 558–566. [CrossRef] [Google Scholar]
  • Q. Wang, Y. Jin, X. Li, J. Chen, S. Lu, T. Chen, J. Yan, M. Zhou and H. Wang, PCDD/F emissions from hazardous waste incinerators in China. Aerosol Air Qual. Res. 14 (2014) 1152–1159. [CrossRef] [Google Scholar]
  • P. Williams, Waste Treatment and Disposal. John Wiley & Sons (2005). [CrossRef] [Google Scholar]
  • T. Xiao, T. Choi and T. Cheng, Product variety and channel structure strategy for a retailer-Stackelberg supply chain. Eur. J. Oper. Res. 233 (2014) 114–124. [CrossRef] [Google Scholar]
  • J. Xie, J. Liu, X. Huo, Q. Meng and M. Chu, Fresh food dual-channel supply chain considering consumers’ low-carbon and freshness preferences. Sustainability 13 (2021) 6445. [CrossRef] [Google Scholar]
  • M. Xu, Study on environmental impact assessment of hazardous waste treatment project. Energy Energy Conserv. 9 (2021) 88–89+150. [Google Scholar]
  • D. Yang, T. Xiao and J. Huang, Dual-channel structure choice of an environmental responsibility supply chain with green investment. J. Cleaner Prod. 210 (2019) 134–145. [CrossRef] [Google Scholar]
  • P. Yi, M. Huang, L. Guo and T. Shi, A retailer oriented closed-loop supply chain network design for end of life construction machinery remanufacturing. J. Cleaner Prod. 124 (2016) 191–203. [CrossRef] [Google Scholar]
  • F. Zand, S. Yaghoubi and S. Sadjadi, Impacts of government direct limitation on pricing, greening activities and recycling management in an online to offline closed loop supply chain. J. Cleaner Prod. 215 (2019) 1327–1340. [CrossRef] [Google Scholar]
  • X. Zhang and H. Yousaf, Green supply chain coordination considering government intervention, green investment, and customer green preferences in the petroleum industry. J. Cleaner Prod. 246 (2020) 118984. [CrossRef] [Google Scholar]
  • X. Zhao and T. Niu, Impacts of horizontal mergers on dual-channel supply chain. J. Ind. Manage. Optim. 18 (2021) 655–680. [Google Scholar]

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