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All issues Volume 59 / No 1 (January-February 2025) RAIRO-Oper. Res., 59 1 (2025) 335-353 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 59, Number 1, January-February 2025
Page(s) 335 - 353
DOI https://doi.org/10.1051/ro/2024226
Published online 21 January 2025
  • N. Abdali, S. Heidari, M. Alipour-Vaezi, F. Jolai and A. Aghsami, A priority queueing-inventory approach for inventory management in multi-channel service retailing using machine learning algorithms. Kybernetes (2024). DOI: 10.1108/K-07-2023-1281. [Google Scholar]
  • M.K. Alam, O.A. Thakur and F.T. Islam, Inventory management systems of small and medium enterprises in Bangladesh. Rajagiri Manage. J. 18 (2024) 8–19. [CrossRef] [Google Scholar]
  • R. Chenavaz, Dynamic pricing, product and process innovation. Eur. J. Oper. Res. 222 (2012) 553–557. [CrossRef] [Google Scholar]
  • S.A. Edalatpanah, Multidimensional solution of fuzzy linear programming. PeerJ Comput. Sci. 9 (2023) e1646. [CrossRef] [Google Scholar]
  • E. Esmi, D.E. Sanchez, V.F. Wasques and L.C. de Barros, Solutions of higher order linear fuzzy differential equations with interactive fuzzy values. Fuzzy Sets Syst. 419 (2021) 122–140. [CrossRef] [Google Scholar]
  • S. Hati and K. Maity, Reliability dependent imperfect production inventory optimal control fractional order model for uncertain environment under Granular differentiability. Fuzzy Inf. Eng. 14 (2022) 379–406. [CrossRef] [Google Scholar]
  • K.L. Helmes, R.H. Stockbridge and C. Zhu, Continuous inventory models of diffusion type: long-term average cost criterion. Ann. Appl. Probab. 27 (2017) 1831–1885. [Google Scholar]
  • A. Khakbaz, W. Mensi, E.B. Tirkolaee, S. Hammoudeh and V. Simic, The combined effects of interest and inflation rates on inventory systems: a comparative analysis across countries. Int. J. Prod. Econ. 266 (2023) 109035. [CrossRef] [Google Scholar]
  • D. Khatua, K. Maity and S. Kar, A fuzzy optimal control inventory model of product-process innovation and fuzzy learning effect in finite time horizon. Int. J. Fuzzy Syst. 21 (2019) 1560–1570. [CrossRef] [MathSciNet] [Google Scholar]
  • S. Kumar, Fuzzy inventory system of perishable items with reliability and time varying demand. Int. J. Sci. Res. Sci. Technol. 6 (2019) 910–927. [Google Scholar]
  • R. Lotfi, P. MohajerAnsari, M.M.S. Nevisi, M. Afshar, S.M.R. Davoodi and S.S. Ali, A viable supply chain by considering vendor-managed-inventory with a consignment stock policy and learning approach. Results Eng. 21 (2024) 101609. [CrossRef] [Google Scholar]
  • M. Mazandarani and A.R. Ma, Political connections and financial performance of companies accepted in Tehran stock exchange. Int. J. Bus. Econ. Manage. 6 (2018) 81–84. [Google Scholar]
  • M. Mazandarani and L. Xiu, A review on fuzzy differential equations. IEEE Access 9 (2021) 62195–62211. [CrossRef] [Google Scholar]
  • M. Najariyan and M.H. Farahi, Optimal control of fuzzy linear controlled system with fuzzy initial conditions. Iran. J. Fuzzy Syst. 10 (2013) 21–35. [MathSciNet] [Google Scholar]
  • A. Nand, Linear and non-linear time dependent deteriorated inventory control model. J. Adv. Manuf. Syst. (2024). DOI: 10.1142/S0219686725500039. [Google Scholar]
  • A. Nand, Deteriorating inventory management model: adapting to variable lead time and consumer-driven shortages. Int. J. Oper. Res. DOI: 10.1504/IJOR.2023.10064634. [Google Scholar]
  • A. Nand, Optimized economic production quantity inventory model with weibull decay, dynamic holding cost under varied demand scenario and demand series analysis. J. Adv. Manuf. Syst. (2024) 1–26. DOI: 10.1142/S0219686725500106. [Google Scholar]
  • A. Nand and N.S. Chauhan, Multi-entity stock dependent model with capacity and manufacture cost restraint’s. Malaysian J. Sci. 43 (2024) 37–48. [CrossRef] [Google Scholar]
  • A. Nand and W. Younus, Dynamic terminology for supplier–retailer collaboration metrics in inventory model. Int. J. Math. Oper. Res. DOI: 10.1504/IJMOR.2024.10064476. [Google Scholar]
  • A. Nand, V.K. Shivanand, N.S. Chauhan and V. Kumar, Inventory control model for pharmaceutical items with exponential demand and holding cost varying based on time. Int. J. Mech. Eng. 7 (2022) 550–557. [Google Scholar]
  • N.A. Ochuba, F.O. Usman, O.O. Amoo, E.S. Okafor and O. Akinrinola, Innovations in business models through strategic analytics and management: conceptual exploration for sustainable growth. Int. J. Manage. Entrepreneurship Res. 6 (2024) 554–566. [CrossRef] [Google Scholar]
  • C. Paraschiv and R. Chenavaz, Sellers’ and buyers’ reference point dynamics in the housing market. Housing Stud. 26 (2011) 329–352. [CrossRef] [Google Scholar]
  • A. Piegat and M. Landowski, Multidimensional interval type 2 epistemic fuzzy arithmetic. Iran. J. Fuzzy Syst. 18 (2021) 19–36. [MathSciNet] [Google Scholar]
  • S.M. Samak-Kulkarni and N.R. Rajhans, Determination of optimum inventory model for minimizing total inventory cost. Proc. Eng. 51 (2013) 803–809. [CrossRef] [Google Scholar]
  • N.H. Shah and C.R. Oaghela, Retailer’s optimal pricing and replenishment policy for new product and optimal take-back quantity of used product. Yugoslav J. Oper. Res. 28 (2018) 345–353. [CrossRef] [MathSciNet] [Google Scholar]
  • N.H. Shah, M. Keswani, U.K. Khedlekar and N.M. Prajapati, Non-instantaneous controlled deteriorating inventory model for stock-price-advertisement dependent probabilistic demand under trade credit financing. Opsearch 61 (2024) 421–459. [CrossRef] [MathSciNet] [Google Scholar]
  • T. Shevchenko, F. Cluzel, B. Yannou, Z.S. Esfandabadi, M. Ranjbari, M. Saidani and Y. Danko, Completing the design for product circularity toolkit with hierarchical computation of circularity maturity diagram and redesign circular strategies. J. Clean. Prod. 437 (2024) 140742. [CrossRef] [Google Scholar]
  • M. Shin, H. Lee, K. Ryu, Y. Cho and Y.J. Son, A two-phased perishable inventory model for production planning in a food industry. Comput. Ind. Eng. 133 (2019) 175–185. [CrossRef] [Google Scholar]
  • V.K. Srivastava and A. Nand, Application and technique of inventory control theory in pharmaceutical sciences. Int. J. Oper. Res. 47 (2023) 109–123. [CrossRef] [Google Scholar]
  • S. Sutrisno and I. Susanti, Optimizing global competitiveness of MSMEs through innovative strategies for digital business development. J. Contemp. Admin. Manage. (ADMAN) 2 (2024) 307–312. [CrossRef] [Google Scholar]
  • K. Tomaszewska and A. Piegat, Application of the horizontal membership function to the uncertain displacement calculation of a composite massless rod under a tensile load. Soft Comput. Comput. Inf. Sci. (2015) 63–72. [Google Scholar]
  • V. Van Nghia, V. Van Hoa, D.V.Q. Thinh, D.C. Kha, T.N. Huy, N.T.T. Linh, P. Van Duc, N.T.C. Minh, T.M. Quynh, N.H. Bao and T.M. Dung, Building an inventory of learning materials exploiting mobile augmented reality technology for Spatial Geometry. Ho Chi Minh City Univ. Edu. J. Sci. 17 (2020) 1934–1944. [Google Scholar]
  • M.S. Wiglusz, J. Landowski and W.J. Cuba la, Psychometric properties and diagnostic utility of the State-Trait Anxiety Inventory in epilepsy with and without comorbid anxiety disorder. Epilepsy Behav. 92 (2019) 221–225. [CrossRef] [Google Scholar]
  • A.F. Zakaria, S.C.J. Lim and M. Aamir, A pricing optimization modelling for assisted decision making in telecommunication product-service bundling. Int. J. Inf. Manage. Data Insights 4 (2024) 100212. [Google Scholar]

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