Open Access
Issue
RAIRO-Oper. Res.
Volume 57, Number 4, July-August 2023
Page(s) 2209 - 2230
DOI https://doi.org/10.1051/ro/2023115
Published online 18 September 2023
  • S.A. Al-Sahli, The impact of immediate sales promotion techniques on brand recall: study on middle income group residents in Riyadh. Eur. J. Bus. Manage. Res. 7 (2022) 170–176. [CrossRef] [Google Scholar]
  • A.N. Avramidis, A pricing problem with unknown arrival rate and price sensitivity. Math. Methods Oper. Res. 92 (2020) 77–106. [CrossRef] [MathSciNet] [Google Scholar]
  • Q. Bai, J. Xu and Y. Zhang, Emission reduction decision and coordination of a make-to order supply chain with two products under cap-and-trade regulation. Comput. Ind. Eng. 119 (2018) 131–145. [CrossRef] [Google Scholar]
  • N. Buyukdag, A.N. Soysal and O. Kitapci, The effect of specific discount pattern in terms of price promotions on perceived price attractiveness and purchase intention: an experimental research. J. Retail. Consumer Serv. 55 (2020) 102112. [CrossRef] [Google Scholar]
  • L.E. Cardenas-Barron and S.S. Sana, A production-inventory model for a two-echelon supply chain when demand is dependent on sales initiatives. Int. J. Prod. Econ. 155 (2014) 249–258. [CrossRef] [Google Scholar]
  • L.E. Cardenas-Barron, A.K. Shaikh, S. Tiwari and G. Trevino-Garza, An EOQ inventory model with nonlinear stock dependent holding cost, nonlinear stock dependent demand and trade credit. Comput. Ind. Eng. 139 (2020) 105557. [CrossRef] [Google Scholar]
  • M. Chaudhuri, R.J. Calantone, C.M. Voorhees and S. Cockrell, Disentangling the effects of promotion mix on new product sales: an examination of disaggregated drivers and the moderating effect of product class. J. Bus. Res. 90 (2018) 286–294. [CrossRef] [Google Scholar]
  • Y. Daryanto, H.M. Wee and R.D. Astanti, Three-echelon supply chain model considering carbon emission and item deterioration. Transp. Res. Part E: Logistics Transp. Rev. 122 (2019) 368–383. [CrossRef] [Google Scholar]
  • Y. Ghiami and P. Beullens, The continuous resupply policy for deteriorating items with stock-dependent observable demand in a two-warehouse and two-echelon supply chain. Appl. Math. Model. 82 (2020) 271–292. [CrossRef] [MathSciNet] [Google Scholar]
  • S.K. Ghosh, M.R. Seikh and M. Chakrabortty, Analyzing a stochastic dual-channel supply chain under consumers’ low carbon preferences and cap-and-trade regulation. Comput. Ind. Eng. 149 (2020) 106765. [CrossRef] [Google Scholar]
  • C.Q. Han, H.Y. Gu, L.H. Sui and C.P. Shao, Carbon emission reduction decision and revenue-sharing contract with consumers’ low-carbon preference and CER cost under carbon tax. Math. Prob. Eng. 2021 (2021) 3458607. [Google Scholar]
  • J. Heydari, T.M. Choi and S. Radkhan, Pareto improving supply coordination under a money-back guarantee service program. Ser. Sci. 9 (2017) 91–105. [CrossRef] [Google Scholar]
  • J. Heydari, A. Heidarpoor and A. Sabbaghnia, Coordinated non-monetary sales promotions: buy one get one free contract. Comput. Ind. Eng. 142 (2020) 106381. [CrossRef] [Google Scholar]
  • I. Khan and U.A. Warraich, Sales promotional tools — a catalyst to speed up sales. J. Marketing Strategies 3 (2021) 38–53. [CrossRef] [MathSciNet] [Google Scholar]
  • C.Y. Lee and D. Lee, An efficient method for solving a correlated multi-item inventory system. Oper. Res. Perspect. 5 (2018) 13–21. [MathSciNet] [Google Scholar]
  • S. Lim, A note on a robust inventory model with stock-dependent demand. J. Oper. Res. Soc. 70 (2019) 851–866. [CrossRef] [Google Scholar]
  • A. Mandal and B. Pal, Effects of green innovation and advertisement in an imperfect production-based competitive supply chain under two-tier credit facility. Math. Methods Appl. Sci. 44 (2021) 13227–13251. [CrossRef] [MathSciNet] [Google Scholar]
  • A.K. Manna, J.K. Dey and S.K. Mondal, Controlling GHG emission from industrial waste perusal of production inventory model with fuzzy pollution parameters. Int. J. Syst. Sci. Oper. Logistics 6 (2019) 368–393. [Google Scholar]
  • O.V. Marchenko, Mathematical modeling and economic efficiency assessment of autonomous energy systems with production and storage of secondary energy carriers. Int. J. Low-Carbon Technol. 5 (2010) 250–255. [CrossRef] [Google Scholar]
  • C.G.D.L.C. Marquez, L.E. Cardenas-Barron and B. Mandal, An inventory model for growing items with imperfect quality when the demand is price sensitive under carbon emissions and shortages. Math. Prob. Eng. 2021 (2021) 6649048. [Google Scholar]
  • L.S. McNeill, K.S. Fam and K. Chung, Applying transaction utility theory to sales promotion – the impact of culture on consumer satisfaction. Int. Rev. Retail Distrib. Consum. Res. 24 (2014) 166–185. [Google Scholar]
  • U. Mishra, L.E. Cardenas-Barron, S. Tiwari, A.A. Shaikh and G. Trevino-Garza, An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. Ann. Oper. Res. 254 (2017) 165–190. [Google Scholar]
  • U. Mishra, J.Z. Wu and B. Sarkar, Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Cleaner Prod. 279 (2020) 123699. [Google Scholar]
  • M. Mishra, S.K. Ghosh and B. Sarkar, Maintaining energy efficiencies and reducing carbon emissions under a sustainable supply chain management. AIMS Environ. Sci. 9 (2022) 603–635. [CrossRef] [Google Scholar]
  • C. Nagadeepa, J.T. Selvi and A. Pushpa, Impact of sale promotion techniques on consumers’ impulse buying behaviour towards apparels at Bangalore. Asian J. Manage. Sci. Edu. 4 (2015) 116–124. [Google Scholar]
  • S. Nasir and E. Bal, Sales promotional strategies and buying behavior in an emerging market at the post recession period, in Global Branding: Breakthroughs in Research and Practice (2020) 404–427. DOI: https://doi.org/10.4018/978-1-5225-9282-2.ch020. [CrossRef] [Google Scholar]
  • R.F. Oller, Divisionalization with asymmetric production costs. Math. Soc. Sci. 118 (2022) 22–29. [CrossRef] [Google Scholar]
  • V. Pando, L.A. San-Jose and J. Sicilia, An inventory model with stock-dependent demand rate and maximization of the return on investment. Mathematics 9 (2021) 844. [CrossRef] [Google Scholar]
  • T.F. Qazi, S. Muzaffar, A.A. Khan and A. Basit, Offer to buy: the effectiveness of sales promotional tools towards purchase intention. Bull. Bus. Econ. 10 (2021) 31–39. [Google Scholar]
  • M. Radovanovic, S. Filipovic, S. Vukadinovic, M. Trbojevic and I. Podbregar, Decarbonisation of eastern European economies: monitoring, economic, social and security concerns. Energy Sustainability Soc. 12 (2022) 16. [CrossRef] [Google Scholar]
  • R.A. Raji, S. Rashid and S. Ishak, The mediating effect of brand image on the relationships between social media advertising content, sales promotion content and behaviuoral intention. J. Res. Interactive Marketing 13 (2019) 302–330. [CrossRef] [Google Scholar]
  • M. Rezagholifam, S. Sadjadi, J. Heydari and M. Karimi, Optimal pricing and ordering strategy for non-instantaneous dete-riorating items with price and stock sensitive demand and capacity constraint. Int. J. Syst. Sci.: Oper. Logistics 9 (2022) 121–132. [Google Scholar]
  • P. Rini, A. Khanna and C.K. Jaggi, An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment: revisited. Opsearch 58 (2021) 181–202. [CrossRef] [MathSciNet] [Google Scholar]
  • B. Sarkar, B. Ganguly, M. Sarkar and S. Pareek, Effect of variable transportation and carbon emission in a three-echelon supply chain model. Transp. Res. Part E Logistics Transp. Rev. 91 (2016) 112–128. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Sarkar, B. Ganguly and L.E. Cardenas-Barron, 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]
  • A. Sepehri, Inventory management under carbon emission policies: a systematic literature review. Decision Making in Inventory Management. edited by N.H. Shah, M. Mittal and L.E. Cardenas-Barron. Springer, Singapore (2021) 187–218. [CrossRef] [Google Scholar]
  • N. Sharma and P. Vrat, Inventory models with stock-dependent demand: a comprehensive review and its linkage with waste management. Int. J. Inventory Res. 2018 (2018) 112–152. [CrossRef] [Google Scholar]
  • S. Sinha and N.M. Modak, An EPQ model in the perspective of carbon emission reduction. Int. J. Math. Oper. Res. 14 (2019) 338–358. [CrossRef] [MathSciNet] [Google Scholar]
  • R. Somogyi, Bertrand-Edgeworth competition with substantial horizontal product differentiation. Math. Soc. Sci. 108 (2020) 27–37. [CrossRef] [Google Scholar]
  • A. Tasnadi, Production in advance versus production to order: equilibrium and social surplus. Math. Soc. Sci. 106 (2020) 11–18. [CrossRef] [Google Scholar]
  • R. Thilagavathi, J. Viswanath, L. Cepova and V. Schindlerova, Effect of inflation and permitted three-slot payment on two- warehouse inventory system with stock-dependent demand and partial backlogging. Mathematics 10 (2022) 3943. [CrossRef] [Google Scholar]
  • S.H. Tseng and S.W. Hung, A strategic decision-making model considering the social costs of carbon dioxide emissions for sustainable supply chain management. J. Environ. Manage. 133 (2014) 315–322. [CrossRef] [Google Scholar]
  • S.R. Vandana, M.Sarkar Singh and B. Sarkar, Effect of learning and forgetting on inventory model under carbon emission and agile manufacturing. Mathematics 11 (2023) 368. [CrossRef] [Google Scholar]
  • B.B. Venegas and J.A. Ventura, A two-stage supply chain coordination mechanism considering price sensitive demand and quantity discounts. Eur. J. Oper. Res. 264 (2018) 524–533. [CrossRef] [Google Scholar]
  • L. Yang, Q. Zhang and J. Ji, Pricing and carbon emission reduction decisions in supply chains with vertical and horizontal cooperation. Int. J. Prod. Econ. 191 (2017) 286–297. [CrossRef] [Google Scholar]
  • S. Zhang, L. Cao and Z. Lu, An EOQ inventory model for deteriorating items with controllable deterioration rate under stock-dependent demand rate and non-linear holding cost. J. Ind. Manage. Optim. 18 (2022) 4231–4263. [CrossRef] [Google Scholar]

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