Open Access
Issue
RAIRO-Oper. Res.
Volume 57, Number 1, January-February 2023
Page(s) 291 - 323
DOI https://doi.org/10.1051/ro/2023007
Published online 28 February 2023
  • S.-H. Yoon, S.-Y. Song and M.-S. Kang, The growth and change of Korean cosmetics market in distribution structure. J. Distrib. Sci. 18 (2020) 5–13. [CrossRef] [Google Scholar]
  • S.P. Parvasi, R. Tavakkoli-Moghaddam, A.A. Taleizadeh and M. Soveizy, A bi-level bi-objective mathematical model for stop location in a school bus routing problem. IFAC-PapersOnLine 52 (2019) 1120–1125. [CrossRef] [Google Scholar]
  • S.P. Parvasi, R. Tavakkoli-Moghaddam, R. Bashirzadeh, A.A. Taleizadeh and A. Baboli, Designing a model for service facility protection with a time horizon based on tri-level programming. Eng. Optim. 52 (2020) 90–105. [CrossRef] [MathSciNet] [Google Scholar]
  • R. Lotfi, N. Mardani and G. Weber, Robust bi-level programming for renewable energy location. Int. J. Energy Res. 45 (2021) 7521–7534. [CrossRef] [Google Scholar]
  • A.M. Fathollahi-Fard, M. Hajiaghaei-Keshteli, R. Tavakkoli-Moghaddam and N.R. Smith, Bi-level programming for home health care supply chain considering outsourcing. J. Ind. Inf. Integr. 25 (2022) 100246. [Google Scholar]
  • S.C. Choi, Price competition in a channel structure with a common retailer. Market. Sci. 10 (1991) 271–296. [CrossRef] [Google Scholar]
  • E.L. Porteus, H. Shin and T.I. Tunca, Feasting on leftovers: Strategic use of shortages in price competition among differentiated products. Manuf. Serv. Oper. Manage. 12 (2010) 140–161. [CrossRef] [Google Scholar]
  • E.J. Anderson and Y. Bao, Price competition with integrated and decentralized supply chains. Eur. J. Oper. Res. 200 (2010) 227–234. [Google Scholar]
  • J. Li, S. Wang and T.C.E. Cheng, Competition and cooperation in a single-retailer two-supplier supply chain with supply disruption. Int. J. Prod. Econ. 124 (2010) 137–150. [CrossRef] [Google Scholar]
  • Y. Lin, A.K. Parlaktürk and J.M. Swaminathan, Vertical integration under competition: forward, backward, or no integration? Prod. Oper. Manage. 23 (2014) 19–35. [CrossRef] [Google Scholar]
  • S. Ba, J. Stallaert and Z. Zhang, Oligopolistic price competition and adverse price effect in online retailing markets. Decis. Support Syst. 45 (2008) 858–869. [CrossRef] [Google Scholar]
  • T. Xiao, Y. Xia and G.P. Zhang, Strategic outsourcing decisions for manufacturers competing on product quality. IIE Trans. 46 (2014) 313–329. [CrossRef] [Google Scholar]
  • A. Ekici, B. Altan and O.Ö. Özener, Pricing decisions in a strategic single retailer/dual suppliers setting under order size constraints. Int. J. Prod. Res. 54 (2016) 1887–1898. [CrossRef] [Google Scholar]
  • T. Xiao, J. Shi and G. Chen, Price and leadtime competition, and coordination for make-to-order supply chains. Comput. Ind. Eng. 68 (2014) 23–34. [CrossRef] [Google Scholar]
  • W. Li and J. Chen, Backward integration strategy in a retailer Stackelberg supply chain. Omega (Westport) 75 (2018) 118–130. [Google Scholar]
  • M.J. Meixell and V.B. Gargeya, Global supply chain design: a literature review and critique. Transp. Res. E Logist. Transp. Rev. 41 (2005) 531–550. [CrossRef] [Google Scholar]
  • W.J. Bilkey and E. Nes, Country-of-origin effects on product evaluations. J. Int. Bus. Stud. 13 (1982) 89–100. [CrossRef] [Google Scholar]
  • R.G. Netemeyer, S. Durvasula and D.R. Lichtenstein, A cross-national assessment of the reliability and validity of the CETSCALE. J. Market. Res. 28 (1991) 320–327. [CrossRef] [Google Scholar]
  • O. Kucukemiroglu, Market segmentation by using consumer lifestyle dimensions and ethnocentrism: an empirical study. Eur. J. Market. 33 (1999) 470–487. [CrossRef] [Google Scholar]
  • G.R. Elliott and R.C. Cameron, Consumer perception of product quality and the country-of-origin effect1. J. Int. Market. 2 (1994) 49–62. [CrossRef] [Google Scholar]
  • T. Seppälä, M. Kenney and J. Ali-Yrkkö, Global supply chains and transfer pricing: insights from a case study. Supply Chain Manage. Int. J. 19 (2014) 445–454. [CrossRef] [Google Scholar]
  • J.F. He and W. Xiao, No-cooperation pricing strategies of global supply chain against monopoly suppliers, in 2009 International Conference on Information Engineering and Computer Science. IEEE (2009) 1–4. [Google Scholar]
  • R. de Matta and T. Miller, Formation of a strategic manufacturing and distribution network with transfer prices. Eur. J. Oper. Res. 241 (2015) 435–448. [CrossRef] [Google Scholar]
  • A. Nagurney and D. Li, A supply chain network game theory model with product differentiation, outsourcing of production and distribution, and quality and price competition. Ann. Oper. Res. 226 (2015) 479–503. [CrossRef] [MathSciNet] [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]
  • J. Song, A. Chutani, A. Dolgui and L. Liang, Dynamic innovation and pricing decisions in a supply-Chain. Omega (Westport) 103 (2021) 102423. [Google Scholar]
  • A. Mukherjee, M. Carvalho and G. Zaccour, Managing quality and pricing during a product recall: an analysis of pre-crisis, crisis and post-crisis regimes. Eur. J. Oper. Res. 307 (2022) 406–420. [Google Scholar]
  • Y. Gao, G. Zhang, J. Lu and H.-M. Wee, Particle swarm optimization for bi-level pricing problems in supply chains. J. Global Optim. 51 (2011) 245–254. [CrossRef] [MathSciNet] [Google Scholar]
  • A.N. Sadigh, M. Mozafari and B. Karimi, Manufacturer–retailer supply chain coordination: a bi-level programming approach. Adv. Eng. Softw. 45 (2012) 144–152. [CrossRef] [Google Scholar]
  • M. Mokhlesian and S.H. Zegordi, Application of multidivisional bi-level programming to coordinate pricing and inventory decisions in a multiproduct competitive supply chain. Int. J. Adv. Manuf. Technol. 71 (2014) 1975–1989. [Google Scholar]
  • G. Zhang, J. Lu and Y. Gao, Bi-level pricing and replenishment in supply chains, in Multi-Level Decision Making. Springer (2015) 325–336. [CrossRef] [Google Scholar]
  • W. Ma, M. Wang and X. Zhu, Improved particle swarm optimization based approach for bilevel programming problem-an application on supply chain model. Int. J. Mach. Learn. Cybern. 5 (2014) 281–292. [CrossRef] [Google Scholar]
  • S.P. Parvasi, M. Mahmoodjanloo and M. Setak, A bi-level school bus routing problem with bus stops selection and possibility of demand outsourcing. Appl. Soft Comput. 61 (2017) 222–238. [CrossRef] [Google Scholar]
  • M. Wang, R. Zhang and X. Zhu, A bi-level programming approach to the decision problems in a vendor–buyer eco-friendly supply chain. Comput. Ind. Eng. 105 (2017) 299–312. [CrossRef] [Google Scholar]
  • O. Amirtaheri, M. Zandieh, B. Dorri and A.R. Motameni, A bi-level programming approach for production-distribution supply chain problem. Comput. Ind. Eng. 110 (2017) 527–537. [CrossRef] [Google Scholar]
  • L. Zhang, Y. Gao, H. Zhu and L. Tao, Bi-level stochastic real-time pricing model in multi-energy generation system: a reinforcement learning approach. energy 239 (2022) 121926. [CrossRef] [Google Scholar]
  • M.L. Katz, Firm-specific differentiation and competition among multiproduct firms. J. Bus. 57 (1984) S149–S166. [CrossRef] [Google Scholar]
  • R.J. Gilbert and C. Matutes, Product line rivalry with brand differentiation. J. Ind. Econ. 41 (1993) 223–240. [CrossRef] [Google Scholar]
  • S.C. Choi and A.T. Coughlan, Private label positioning: quality versus feature differentiation from the national brand. J. Retail. 82 (2006) 79–93. [CrossRef] [Google Scholar]
  • S. Rajagopalan and N. Xia, Product variety, pricing and differentiation in a supply chain. Eur. J. Oper. Res. 217 (2012) 84–93. [CrossRef] [Google Scholar]
  • J. Pang and K.H. Tan, Supply chain quality and pricing decisions under multi-manufacturer competition. Ind. Manage. Data Syst. 118 (2018) 164–187. [CrossRef] [Google Scholar]
  • T. Xiao, T.-M. Choi and T.C.E. Cheng, Product variety and channel structure strategy for a retailer-Stackelberg supply chain. Eur. J. Oper. Res. 233 (2014) 114–124. [CrossRef] [Google Scholar]
  • M.Y. Zhou and J. Lin, Optimal advertising model in a dynamic marketing with competing brands. Int. J. Manuf. Technol. Manage. 29 (2015) 116–137. [CrossRef] [Google Scholar]
  • B.C. Giri, A. Chakraborty and T. Maiti, Quality and pricing decisions in a two-echelon supply chain under multi-manufacturer competition. Int. J. Adv. Manuf. Technol. 78 (2015) 1927–1941. [CrossRef] [Google Scholar]
  • B.C. Giri, B. Roy and T. Maiti, Multi-manufacturer pricing and quality management strategies in the presence of brand differentiation and return policy. Comput. Ind. Eng. 105 (2017) 146–157. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, A.Z. Safaei, A. Bhattacharya and A. Amjadian, Online peer-to-peer lending platform and supply chain finance decisions and strategies. Ann. Oper. Res. 315 (2022) 397–427. [CrossRef] [MathSciNet] [Google Scholar]
  • H.-J. Huang, Pricing and logit-based mode choice models of a transit and highway system with elastic demand. Eur. J. Oper. Res. 140 (2002) 562–570. [CrossRef] [Google Scholar]
  • A. Lüer-Villagra and V. Marianov, A competitive hub location and pricing problem. Eur. J. Oper. Res. 231 (2013) 734–744. [CrossRef] [Google Scholar]
  • D.D. Čvokić, Y.A. Kochetov and A.V. Plyasunov, The existence of equilibria in the leader-follower hub location and pricing problem, in Operations Research Proceedings 2015. Springer (2017) 539–544. [Google Scholar]
  • Y. Zhang, Designing a retail store network with strategic pricing in a competitive environment. Int. J. Prod. Econ. 159 (2015) 265–273. [CrossRef] [Google Scholar]
  • M. Mahmoodjanloo, R. Tavakkoli-Moghaddam, A. Baboli and A. Jamiri, A multi-modal competitive hub location pricing problem with customer loyalty and elastic demand. Comput. Oper. Res. 123 (2020) 105048. [CrossRef] [MathSciNet] [Google Scholar]
  • S.P. Parvasi and A.A. Taleizadeh, Competition pricing between domestic and foreign manufacturers: a bi-level model using a novel hybrid method. Sādhanā 46 (2021) 1–21. [Google Scholar]
  • C.H. Glock and T. Kim, The effect of forward integration on a single-vendor–multi-retailer supply chain under retailer competition. Int. J. Prod. Econ. 164 (2015) 179–192. [CrossRef] [Google Scholar]
  • X. Zhang, S. Huang and Z. Wan, Optimal pricing and ordering in global supply chain management with constraints under random demand. Appl. Math. Model. 40 (2016) 10105–10130. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Sinha, P. Malo and K. Deb, A review on bilevel optimization: from classical to evolutionary approaches and applications. IEEE Trans. Evol. Comput. 22 (2017) 276–295. [Google Scholar]
  • L.N. Vicente and P.H. Calamai, Bilevel and multilevel programming: a bibliography review. J. Global Optim. 5 (1994) 291–306. [CrossRef] [MathSciNet] [Google Scholar]
  • K. Shimizu, Two-level decision problems and their new solution methods by a penalty method. IFAC Proc. 14 (1981) 1303–1308. [CrossRef] [Google Scholar]
  • B. Colson, P. Marcotte and G. Savard, A trust-region method for nonlinear bilevel programming: algorithm and computational experience. Comput. Optim. Appl. 30 (2005) 211–227. [CrossRef] [MathSciNet] [Google Scholar]
  • M. Mahmoodjanloo, S.P. Parvasi and R. Ramezanian, A tri-level covering fortification model for facility protection against disturbance in r-interdiction median problem. Comput. Ind. Eng. 102 (2016) 219–232. [CrossRef] [Google Scholar]
  • R. Mathieu, L. Pittard and G. Anandalingam, Genetic algorithm based approach to bi-level linear programming. RAIRO: Oper. Res. 28 (1994) 1–21. [CrossRef] [EDP Sciences] [Google Scholar]
  • Y. Yin, Genetic-algorithms-based approach for bilevel programming models. J. Transp. Eng. 126 (2000) 115–120. [CrossRef] [Google Scholar]
  • L. Hecheng and W. Yuping, Exponential distribution-based genetic algorithm for solving mixed-integer bilevel programming problems. J. Syst. Eng. Electron. 19 (2008) 1157–1164. [CrossRef] [MathSciNet] [Google Scholar]
  • J.S. Angelo and H.J.C. Barbosa, A study on the use of heuristics to solve a bilevel programming problem. Int. Trans. Oper. Res. 22 (2015) 861–882. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Aravindakshan and B. Ratchford, Solving share equations in logit models using the Lambertw function. Rev. Market. Sci. 9 (2011) 1–17. [CrossRef] [Google Scholar]
  • M. Minaee, S. Elahi, M. Majidpour and M. Manteghi, Lessons learned from an unsuccessful “catching-up” in the automobile industry of Iran. Technol. Soc. 66 (2021) 101595. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, A.A. Najafi and S.T.A. Niaki, Multi product EPQ model with scraped items and limited production capacity. Int. J. Sci. Technol. (Sci. Iran.) Trans. E 17 (2010) 58–69. [Google Scholar]
  • A.A. Taleizadeh, S.J. Sadjadi and S.T.A. Niaki, Multi-product single-machine EPQ model with immediate rework process and back-ordering. Eur. J. Ind. Eng. 5 (2011) 388–411. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, H.M. Wee and S.G.R. Jalali-Naini, Economic production quantity model with repair failure and limited capacity. Appl. Math. Model. 37 (2013) 2765–2774. [CrossRef] [MathSciNet] [Google Scholar]
  • A.A. Taleizadeh, S.T.A. Niaki and M.B. Aryanezhad, Replenish-up-to multi chance-constraint inventory control system with stochastic period lengths and total discount under fuzzy purchasing price and holding costs. Int. J. Syst. Sci. 41 (2010) 1187–1200. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, S.T.A. Niaki and R. Nikousokhan, Constraint multi product joint replenishment problem under uncertain programming. Appl. Soft Comput. 11 (2011) 5143–5154. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.