Supply chain coordination based on mean-variance risk optimisation: pricing, warranty, and full-refund decisions

References

• Abualigah, L. (2020). Multi-verse optimizer algorithm: A comprehensive survey of its results, variants, and applications. Neural Computing and Applications, 32(16), 12381–12401. https://doi.org/10.1007/s00521-020-04839-1
   Web of Science ®Google Scholar
• Ahmadi, S. A. (2017). Human behavior-based optimization: A novel metaheuristic approach to solve complex optimization problems. Neural Computing and Applications, 28(Suppl 1), 233–244. https://doi.org/10.1007/s00521-016-2334-4
   Google Scholar
• Ai, X., Li, X., Zheng, C., & He, H. (2023). Channel coordination with extended warranty when retailers compete. Journal of the Operational Research Society, 74(3), 826–839. https://doi.org/10.1080/01605682.2022.2122734
   Web of Science ®Google Scholar
• Akhtar, S., & Jahromi, M. (2017). Risk, return and mean-variance efficiency of Islamic and non-Islamic stocks: Evidence from a unique Malaysian data set. Accounting & Finance, 57(1), 3–46. https://doi.org/10.1111/acfi.12139
   Web of Science ®Google Scholar
• Alqahtani, A. Y., Gupta, S. M., & Yamada, T. (2017). Combined two-dimensional non-renewable warranty policy analysis for remanufactured products. Procedia CIRP, 61, 189–194. https://doi.org/10.1016/j.procir.2016.11.249
   Google Scholar
• Amjadian, A., & Gharaei, A. (2022). An integrated reliable five-level closed-loop supply chain with multi-stage products under quality control and green policies: Generalised outer approximation with exact penalty. International Journal of Systems Science: Operations & Logistics, 9(3), 429–449. https://doi.org/10.1080/23302674.2021.1919336
   Google Scholar
• Amrouche, N., Pei, Z., & Yan, R. (2022). Mail-in-rebate and coordination strategies for brand competition. International Journal of Production Economics, 247, Article 108453. https://doi.org/10.1016/j.ijpe.2022.108453
   Web of Science ®Google Scholar
• Bai, Q., Chen, M., & Xu, L. (2017). Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items. International Journal of Production Economics, 187, 85–101. https://doi.org/10.1016/j.ijpe.2017.02.012
   Web of Science ®Google Scholar
• Bai, Q., Xu, J., & Chauhan, S. S. (2020). Effects of sustainability investment and risk aversion on a two-stage supply chain coordination under a carbon tax policy. Computers & Industrial Engineering, 142, Article 106324. https://doi.org/10.1016/j.cie.2020.106324
   Web of Science ®Google Scholar
• Barnard, C. J., & Sibly, R. M. (1981). Producers and scroungers: A general model and its application to captive flocks of house sparrows. Animal Behaviour, 29(2), 543–550. https://doi.org/10.1016/S0003-3472(81)80117-0
   Google Scholar
• Bell, W. J. (1990). Searching behavior patterns in insects. Annual Review of Entomology, 35(1), 447–467. https://doi.org/10.1146/annurev.en.35.010190.002311
   Google Scholar
• Bolaji, A. L. A., Al-Betar, M. A., Awadallah, M. A., Khader, A. T., & Abualigah, L. M. (2016). A comprehensive review: Krill Herd algorithm (KH) and its applications. Applied Soft Computing, 49, 437–446. https://doi.org/10.1016/j.asoc.2016.08.041
   Web of Science ®Google Scholar
• Brockmann, H. J., & Barnard, C. J. (1979). Kleptoparasitism in birds. Animal Behaviour, 27, 487–514. https://doi.org/10.1016/0003-3472(79)90185-4
   Web of Science ®Google Scholar
• Caraco, T. (1979). Time budgeting and group size: A test of theory. Ecology, 60(3), 618–627. https://doi.org/10.2307/1936082
   Web of Science ®Google Scholar
• Cárdenas-Barrón, L. E., Mandal, B., Sicilia, J., San-José, L. A., & Abdul-Jalbar, B. (2021). Optimizing price, order quantity, and backordering level using a nonlinear holding cost and a power demand pattern. Computers & Operations Research, 133, Article 105339. https://doi.org/10.1016/j.cor.2021.105339
   Web of Science ®Google Scholar
• Chakraborty, T., Chauhan, S. S., & Ouhimmou, M. (2016). Product quality improvement induced by cost-sharing mechanism and competition. CIRRELT, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport = Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation.
   Google Scholar
• Chen, C. H., Lo, C. P., & Kan, C. C. (2016). Simultaneous settings of order quantity, wholesale price, production run length, process mean, and warranty period. Journal of Management Analytics, 3(2), 174–188. https://doi.org/10.1080/23270012.2015.1063466
   Web of Science ®Google Scholar
• Chen, J., & Grewal, R. (2013). Competing in a supply chain via full-refund and no-refund customer returns policies. International Journal of Production Economics, 146(1), 246–258. https://doi.org/10.1016/j.ijpe.2013.07.005
   Web of Science ®Google Scholar
• Chen, M., & Chen, Z. L. (2020). Optimal pricing to minimize maximum regret with limited demand information. Computers & Operations Research, 124, Article 105070. https://doi.org/10.1016/j.cor.2020.105070
   PubMed Web of Science ®Google Scholar
• Chiu, C. H., & Choi, T. M. (2016). Supply chain risk analysis with mean-variance models: A technical review. Annals of Operations Research, 240(2), 489–507. https://doi.org/10.1007/s10479-013-1386-4
   Web of Science ®Google Scholar
• Choi, T. M. (2013). Optimal return service charging policy for a fashion mass customization program. Service Science, 5(1), 56–68. https://doi.org/10.1287/serv.1120.0036
   Web of Science ®Google Scholar
• Choi, T. M., Wen, X., Sun, X., & Chung, S. H. (2019). The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era. Transportation Research Part E: Logistics and Transportation Review, 127, 178–191. https://doi.org/10.1016/j.tre.2019.05.007
   Web of Science ®Google Scholar
• Cui, X., Li, D., & Li, X. (2017). Mean-variance policy for discrete-time cone-constrained markets: Time consistency in efficiency and the minimum-variance signed super martingale measure. Mathematical Finance, 27(2), 471–504. https://doi.org/10.1111/mafi.12093
   Web of Science ®Google Scholar
• Dew-Becker, I., Giglio, S., Le, A., & Rodriguez, M. (2017). The price of variance risk. Journal of Financial Economics, 123(2), 225–250.
   Web of Science ®Google Scholar
• Diabat, A., Kannan, D., Kaliyan, M., & Svetinovic, D. (2013). An optimization model for product returns using genetic algorithms and artificial immune system. Resources, Conservation and Recycling, 74, 156–169. https://doi.org/10.1016/j.resconrec.2012.12.010
   Web of Science ®Google Scholar
• Fallahi, A., Bani, E. A., & Niaki, S. T. A. (2022). A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization. Expert Systems with Applications, 207, Article 118018. https://doi.org/10.1016/j.eswa.2022.118018
   Web of Science ®Google Scholar
• Fattahi, M., Govindan, K., & Keyvanshokooh, E. (2018). A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands. Computers & Operations Research, 100, 314–332. https://doi.org/10.1016/j.cor.2017.12.016
   Web of Science ®Google Scholar
• Gan, X., Sethi, S. P., & Yan, H. (2005). Channel coordination with a risk-neutral supplier and a downside-risk-averse retailer. Production and Operations Management, 14(1), 80–89. https://doi.org/10.1111/j.1937-5956.2005.tb00011.x
   Web of Science ®Google Scholar
• Ghandi, A., & Lin Lawell, C. Y. C. (2017). On the rate of return and risk factors to international oil companies in Iran’s buy-back service contracts. Energy Policy, 103, 16–29. https://doi.org/10.1016/j.enpol.2017.01.003
   Web of Science ®Google Scholar
• Gharaei, A., Amjadian, A., Shavandi, A., & Amjadian, A. (2023). An augmented lagrangian approach with general constraints to solve nonlinear models of the large-scale reliable inventory systems. Journal of Combinatorial Optimization, 45(2), 78. https://doi.org/10.1007/s10878-023-01002-z
   Web of Science ®Google Scholar
• Giraldeau, L. A., & Beauchamp, G. (1999). Food exploitation: Searching for the optimal joining policy. Trends in Ecology & Evolution, 14(3), 102–106. https://doi.org/10.1016/S0169-5347(98)01542-0
   PubMed Web of Science ®Google Scholar
• Giri, B. C., & Maiti, T. (2014). Multi-manufacturer single-retailer supply chain model underprice-and warranty period-dependent demand. International Journal of Mathematics in Operational Research, 6(5), 631–654. https://doi.org/10.1504/IJMOR.2014.064847
   Google Scholar
• Giri, B. C., Roy, B., & Maiti, T. (2017). Multi-manufacturer pricing and quality management strategies in the presence of brand differentiation and return policy. Computers & Industrial Engineering, 105, 146–157. https://doi.org/10.1016/j.cie.2017.01.003
   Web of Science ®Google Scholar
• Golberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning. Addison Wesley.
   Google Scholar
• He, S., Wu, Q. H., & Saunders, J. R. (2009). Group search optimizer: an optimization algorithm inspired by animal searching behavior. IEEE Transactions on Evolutionary Computation, 13(5), 973–990.
   Web of Science ®Google Scholar
• He, Y., Zhao, X., Krishnan, H., & Jin, S. (2022). Cooperation among suppliers of complementary products in repeated interactions. International Journal of Production Economics, 252, Article 108559. https://doi.org/10.1016/j.ijpe.2022.108559
   Web of Science ®Google Scholar
• Hosseini-Motlagh, S. M., Ebrahimi, S., & Jokar, A. (2021). Sustainable supply chain coordination under competition and green effort scheme. Journal of the Operational Research Society, 72(2), 304–319. https://doi.org/10.1080/01605682.2019.1671152
   Web of Science ®Google Scholar
• Hosseini-Motlagh, S. M., Ebrahimi, S., & Zirakpourdehkordi, R. (2020). Coordination of dual-function acquisition price and corporate social responsibility in a sustainable closed-loop supply chain. Journal of Cleaner Production, 251, Article 119629. https://doi.org/10.1016/j.jclepro.2019.119629
   Web of Science ®Google Scholar
• Hosseini-Motlagh, S. M., Jazinaninejad, M., & Nami, N. (2022). Coordinating a socially concerned reverse supply chain for pharmaceutical waste management considering government role. Environment, Development and Sustainability, 24, 1852–1877. https://doi.org/10.1007/s10668-021-01511-z
   Web of Science ®Google Scholar
• Hotelling, H. (1990). Edgeworth’s taxation paradox and the nature of demand and supply functions. In The collected economics articles of harold hotelling (pp. 93–122). Springer New York.
   Google Scholar
• Hu, B., Xu, D., & Meng, C. (2017). Inconsistency of a retailer’s optimal policies and channel performance under revenue sharing contracts. International Journal of Production Economics, 183, 53–65. https://doi.org/10.1016/j.ijpe.2016.10.011
   Web of Science ®Google Scholar
• Ji, Y., Yang, H., Qu, S., & Nabe, M. (2021). Optimal strategy for a closed-loop supply chain considering recycling and warranty channels. Arabian Journal for Science and Engineering, 46(2), 1585–1601. https://doi.org/10.1007/s13369-020-04751-9
   Web of Science ®Google Scholar
• Kaya, O., & Urek, B. (2016). A mixed integer nonlinear programming model and heuristic solutions for location, inventory and pricing decisions in a closed loop supply chain. Computers & Operations Research, 65, 93–103. https://doi.org/10.1016/j.cor.2015.07.005
   Web of Science ®Google Scholar
• Keshavarz-Ghorbani, F., & Pasandideh, S. H. R. (2021). Optimizing a two-level closed-loop supply chain under the vendor managed inventory contract and learning: Fibonacci, GA, IWO, MFO algorithms. Neural Computing and Applications, 33(15), 9425–9450. https://doi.org/10.1007/s00521-021-05703-6
   Web of Science ®Google Scholar
• Khan, M. A. A., Cárdenas-Barrón, L. E., Smith, N. R., Bourguet-Díaz, R. E., Loera-Hernández, I. D. J., Peimbert-García, R. E., Treviño-Garza, G., & Céspedes-Mota, A. (2023). Effects of all-units discount on pricing and replenishment policies of an inventory model under power demand pattern. International Journal of Systems Science: Operations & Logistics, 10(1), Article 2161712. https://doi.org/10.1080/23302674.2022.2161712
   Google Scholar
• Koussis, N., & Silaghi, F. (2023). Revenue-sharing and volume flexibility in the supply chain. International Journal of Production Economics, 261, Article 108845. https://doi.org/10.1016/j.ijpe.2023.108845
   Web of Science ®Google Scholar
• Lau, H. S. (1980). The newsboy problem under alternative optimization objectives. Journal of the Operational Research Society, 31(6), 525–535. https://doi.org/10.1057/jors.1980.96
   Web of Science ®Google Scholar
• Lau, H. S., & Lau, A. H. L. (1999). Manufacturer’s pricing strategy and return policy for a single-period commodity. European Journal of Operational Research, 116(2), 291–304. https://doi.org/10.1016/S0377-2217(98)00123-4
   Web of Science ®Google Scholar
• Li, J. C., Zhou, Y. W., & Huang, W. (2017). Production and procurement strategies for seasonal product supply chain under yield uncertainty with commitment-option contracts. International Journal of Production Economics, 183, 208–222. https://doi.org/10.1016/j.ijpe.2016.10.019
   Web of Science ®Google Scholar
• Liu, Z., Chen, J., Diallo, C., & Venkatadri, U. (2023). Optimal extended warranty pricing and retailing strategies in a closed-loop supply chain. International Journal of Production Research, 61(10), 3435–3458. https://doi.org/10.1080/00207543.2022.2083997
   Web of Science ®Google Scholar
• Mansouri, Y., & Sahraeian, R. (2021). Facility disruptions in a closed-loop supply chain featuring warranty policy and quality-based segmentation of returns. Scientia Iranica. https://doi.org/10.24200/SCI.2021.57475.5257
   Web of Science ®Google Scholar
• Markowitz, H. M. (1959). Portfolio selection (Cowles Foundation Monograph 16). John Wiley and Sons.
   Google Scholar
• McNamara, J. M., Houston, A. I., & Collins, E. J. (2001). Optimality models in behavioral biology. Siam Review, 43(3), 413–466. https://doi.org/10.1137/S0036144500385263
   Web of Science ®Google Scholar
• Michalk, W., Filipova-Neumann, L., Blau, B., & Weinhardt, C. (2011). Reducing risk or increasing profit? Provider decisions in agreement networks. Service Science, 3(3), 206–222. https://doi.org/10.1287/serv.3.3.206
   Google Scholar
• Mishra, R., Singh, R. K., & Rana, N. P. (2022). Developing environmental collaboration among supply chain partners for sustainable consumption & production: Insights from an auto sector supply chain. Journal of Cleaner Production, 338, Article 130619. https://doi.org/10.1016/j.jclepro.2022.130619
   PubMed Web of Science ®Google Scholar
• Mustard, D. (1964). Numerical integration over the n-dimensional spherical shell. Mathematics of Computation, 18(88), 578–589.
   Web of Science ®Google Scholar
• Mutlu, H. T., & Yildiz, M. S. (2021). Determination of the optimal warranty policy and period from the manufacturer’s/seller’s perspective. Communications in Statistics-Simulation and Computation, 1–23. https://doi.org/10.1080/03610918.2021.1941110
   Web of Science ®Google Scholar
• Nami, N., & Hosseini-Motlagh, S. M. (2022). Central robust decision-making structure for reverse supply chain: A real pharmaceutical case. Computers & Industrial Engineering, 173, Article 108726. https://doi.org/10.1016/j.cie.2022.108726
   PubMed Web of Science ®Google Scholar
• Nematollahi, M., Hosseini-Motlagh, S. M., Cárdenas-Barrón, L. E., & Tiwari, S. (2022). Coordinating visit interval and safety stock decisions in a two-level supply chain with shelf-life considerations. Computers & Operations Research, 139, Article 105651. https://doi.org/10.1016/j.cor.2021.105651
   Web of Science ®Google Scholar
• Pando, V., San-Jose, L. A., Sicilia, J., & Alcaide-Lopez-de-Pablo, D. (2021). Maximization of the return on inventory management expense in a system with price-and stock-dependent demand rate. Computers & Operations Research, 127, Article 105134. https://doi.org/10.1016/j.cor.2020.105134
   Web of Science ®Google Scholar
• Rahimi, M., Ghezavati, V., & Asadi, F. (2019). A stochastic risk-averse sustainable supply chain network design problem with quantity discount considering multiple sources of uncertainty. Computers & Industrial Engineering, 130, 430–449. https://doi.org/10.1016/j.cie.2019.02.037
   Web of Science ®Google Scholar
• Rao, S. S. (2019). Engineering optimization: Theory and practice. John Wiley & Sons.
   Google Scholar
• Sadeghian, R., Bagher Komasi, M., & Mohammadi, S. (2016). Production and warranty optimal period in deteriorating production systems by considering inspection of both manufacturing equipment and products simultaneously. European Online Journal of Natural and Social Sciences: Proceedings, 4(1(s)), 1836.
   Google Scholar
• Saha, M., & Giri, R. N. (2023). Consumers’ purchasing decisions of a dual-channel supply chain system under return and warranty policies. International Journal of Systems Science: Operations & Logistics, 10(1), Article 2173990. https://doi.org/10.1080/23302674.2023.2173990
   Google Scholar
• Sarada, Y., & Sangeetha, S. (2022). Coordinating a reverse supply chain with price and warranty dependent random demand under collection uncertainties. Operational Research, 22(4), 4119–4158. https://doi.org/10.1007/s12351-021-00657-y
   Web of Science ®Google Scholar
• Shen, B., Choi, T. M., Wang, Y., & Lo, C. K. (2013). The coordination of fashion supply chains with a risk-averse supplier under the markdown money policy. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(2), 266–276. https://doi.org/10.1109/TSMCA.2012.2204739
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Akhavan Niaki, S. T., & Hoseini, V. (2009a). Optimizing the multi-product, multi-constraint, bi-objective newsboy problem with discount by a hybrid method of goal programming and genetic algorithm. Engineering Optimization, 41(5), 437–457. https://doi.org/10.1080/03052150802582175
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Aryanezhad, M. B., & Niaki, S. T. A. (2008). Optimizing multi-products multi-constraints inventory control systems with stochastic replenishments. Journal of Applied Sciences, 6, 1.
   Google Scholar
• Taleizadeh, A. A., Khaligh, P. P., & Moon, I. (2019). Hybrid NSGA-II for an imperfect production system considering product quality and returns under two warranty policies. Applied Soft Computing, 75, 333–348. https://doi.org/10.1016/j.asoc.2018.11.013
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Moghadasi, H., Niaki, S. T. A., & Eftekhari, A. K. (2009b). An EOQ-joint replenishment policy to supply expensive imported raw materials with payment in advance. Journal of Applied Science, 8(23), 4263–4273. https://doi.org/10.3923/jas.2008.4263.4273
   Google Scholar
• Taleizadeh, A. A., Niaki, S. T. A., & Aryanezhad, M. B. (2010). Optimising multi-product multi-chance-constraint inventory control system with stochastic period lengths and total discount under fuzzy purchasing price and holding costs. International Journal of Systems Science, 41(10), 1187–1200. https://doi.org/10.1080/00207720903171761
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Niaki, S. T. A., & Nikousokhan, R. (2011). Constraint multiproduct joint-replenishment inventory control problem using uncertain programming. Applied Soft Computing, 11(8), 5143–5154. https://doi.org/10.1016/j.asoc.2011.05.045
   Web of Science ®Google Scholar
• Taleizadeh, A. A., & Noori-daryan, M. (2016a). Pricing, inventory and production policies in a supply chain of pharmacological products with rework process: A game theoretic approach. Operational Research, 16(1), 89–115. https://doi.org/10.1007/s12351-015-0188-7
   Web of Science ®Google Scholar
• Taleizadeh, A. A., & Noori-Daryan, M. (2016b). Pricing, manufacturing and inventory policies for raw material in a three-level supply chain. International Journal of Systems Science, 47(4), 919–931. https://doi.org/10.1080/00207721.2014.909544
   Web of Science ®Google Scholar
• Tarei, P. K., Kumar, G., & Ramkumar, M. (2022). A mean-variance robust model to minimize operational risk and supply chain cost under aleatory uncertainty: A real-life case application in petroleum supply chain. Computers & Industrial Engineering, 166, Article 107949. https://doi.org/10.1016/j.cie.2022.107949
   Web of Science ®Google Scholar
• Tarei, P. K., Thakkar, J. J., & Nag, B. (2018). A hybrid approach for quantifying supply chain risk and prioritizing the risk drivers: A case of Indian petroleum supply chain. Journal of Manufacturing Technology Management, 29(3), 533–569. https://doi.org/10.1108/JMTM-10-2017-0218
   Web of Science ®Google Scholar
• Wan, N., Li, L., Wu, X., & Fan, J. (2022). Risk minimization inventory model with a profit target and option contracts under spot price uncertainty. Journal of Industrial and Management Optimization, 18(4), 2827–2845. https://doi.org/10.3934/jimo.2021093
   Web of Science ®Google Scholar
• Wu, C., Zhao, Q., & Xi, M. (2017). A retailer-supplier supply chain model with trade credit default risk in a supplier-Stackelberg game. Computers & Industrial Engineering, 112, 568–575. https://doi.org/10.1016/j.cie.2017.03.004
   Web of Science ®Google Scholar
• Wu, D., Chen, J., Li, P., & Zhang, R. (2020). Contract coordination of dual channel reverse supply chain considering service level. Journal of Cleaner Production, 260, Article 121071. https://doi.org/10.1016/j.jclepro.2020.121071
   Web of Science ®Google Scholar
• Xiao, T., Choi, T. M., Yang, D., & Cheng, T. C. E. (2012). Service commitment strategy and pricing decisions in retail supply chains with risk-averse players. Service Science, 4(3), 236–252. https://doi.org/10.1287/serv.1120.0021
   Google Scholar
• Xu, G., Dan, B., Zhang, X., & Liu, C. (2014). Coordinating a dual-channel supply chain with risk-averse under a two-way revenue sharing contract. International Journal of Production Economics, 147, 171–179. https://doi.org/10.1016/j.ijpe.2013.09.012
   Web of Science ®Google Scholar
• Xu, Y., Gurnani, H., & Desiraju, R. (2010). Strategic supply chain structure design for a proprietary component manufacturer. Production and Operations Management, 19(4), 371–389. https://doi.org/10.1111/j.1937-5956.2009.01116.x
   Web of Science ®Google Scholar
• Xue, W., Choi, T. M., & Ma, L. (2016). Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer. Transportation Research Part E: Logistics and Transportation Review, 90, 90–107. https://doi.org/10.1016/j.tre.2016.01.013
   Web of Science ®Google Scholar
• Yan, R., & Pei, Z. (2009). Retail services and firm profit in a dual-channel market. Journal of Retailing and Consumer Services, 16(4), 306–314. https://doi.org/10.1016/j.jretconser.2009.02.006
   Google Scholar
• Yang, H., & Chen, W. (2018). Retailer-driven carbon emission abatement with consumer environmental awareness and carbon tax: Revenue-sharing versus cost-sharing. Omega, 78, 179–191. https://doi.org/10.1016/j.omega.2017.06.012
   Web of Science ®Google Scholar
• Yoo, S. H., Kim, D., & Park, M. S. (2015). Pricing and return policy under various supply contracts in a closed-loop supply chain. International Journal of Production Research, 53(1), 106–126. https://doi.org/10.1080/00207543.2014.932927
   Web of Science ®Google Scholar
• Yu, B., Wang, J., Lu, X., & Yang, H. (2020). Collaboration in a low-carbon supply chain with reference emission and cost learning effects: Cost sharing versus revenue sharing strategies. Journal of Cleaner Production, 250, Article 119460. https://doi.org/10.1016/j.jclepro.2019.119460
   Web of Science ®Google Scholar
• Zhan, M., Gao, H., Liu, H., Peng, Y., Lu, D., & Zhu, H. (2020). Identifying market structure to monitor product competition using a consumer-behavior-based intelligence model. Asia Pacific Journal of Marketing and Logistics, 33(1), 99–123. https://doi.org/10.1108/APJML-08-2019-0497
   Web of Science ®Google Scholar
• Zhang, S., Tong, X., & Jin, X. (2023). Contract design and comparison under the opportunity cost of working capital: Buyback vs. revenue sharing. European Journal of Operational Research, 309(2), 845–856. https://doi.org/10.1016/j.ejor.2023.01.051
   Web of Science ®Google Scholar
• Zhang, Y., Donohue, K., & Cui, T. H. (2016). Contract preferences and performance for the loss-averse supplier: Buyback vs. revenue sharing. Management Science, 62(6), 1734–1754. https://doi.org/10.1287/mnsc.2015.2182
   Web of Science ®Google Scholar
• Zhuo, W., Shao, L., & Yang, H. (2018). Mean–variance analysis of option contracts in a two-echelon supply chain. European Journal of Operational Research, 271(2), 535–547. https://doi.org/10.1016/j.ejor.2018.05.033
   Web of Science ®Google Scholar