Economic order quantity for substitutable growing items

References

• Abdolhosseini, S., Ghandehari, M., Ansari, A., & Roozmand, O. (2023). Joint pricing and inventory management in a competitive market using reinforcement learning: A combination of the agent-based and simulation-optimization approaches. International Journal of Management Science and Engineering Management. 18(2):77–87. doi:10.1080/17509653.2021.1983737
   Web of Science ®Google Scholar
• Anudari, C., Yun, Y., & Gen, M. (2022). Applying GA-VNS approach to supply chain network model with facility and route disruptions. International Journal of Management Science and Engineering Management. 17(3):151–165. doi:10.1080/17509653.2022.2057366
   Web of Science ®Google Scholar
• Asadkhani, J., Fallahi, A., & Mokhtari, H. (2022). A sustainable supply chain under VMI-CS agreement with withdrawal policies for imperfect items. Journal of Cleaner Production, 376, 134098. doi:10.1016/j.jclepro.2022.134098
   Web of Science ®Google Scholar
• Barman, H., Roy, S. K., Sakalauskas, L., & Weber, G.-W. (2023). Inventory model involving reworking of faulty products with three carbon policies under neutrosophic environment. Advanced Engineering Informatics, 57, 102081. doi:10.1016/j.aei.2023.102081
   Web of Science ®Google Scholar
• Belen, S., Kropat, E., & Weber, G.-W. (2011). On the classical Maki–Thompson rumour model in continuous time. Central European Journal of Operations Research. 19(1):1–17. doi:10.1007/s10100-009-0120-4
   Web of Science ®Google Scholar
• Bhuiya, S. K., Ghosh, D., & Chakraborty, D. (2019). On the distribution-free continuous review (Q, r, L) inventory model with lead-time-dependent partial backlogging. International Journal of Management Science & Engineering Management, 14(4), 273–283.
   Google Scholar
• Çalışkan, C. (2021). The economic order quantity model with compounding. Omega, 102, 102307. doi:10.1016/j.omega.2020.102307
   Web of Science ®Google Scholar
• Chen, X., Benjaafar, S., and Elomri, A. (2013). The carbon-constrained EOQ. Operations Research Letters. 41(2):172–179. doi:10.1016/j.orl.2012.12.003
   Web of Science ®Google Scholar
• Dinagar, D. S., & Manvizhi, M. (2023). A fuzzy economic inventory model for substitutable joint complementary items. AIP Conference Proceedings, 2699(1), 020035.
   Google Scholar
• Drezner, Z., Gurnani, H., & Pasternack, B. A. (1995). An EOQ model with substitutions between products. Journal of the Operational Research Society. 46(7):887–891. doi:10.1057/jors.1995.120
   Web of Science ®Google Scholar
• Fallahi, A., Amani Bani, E., & 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, 118018. doi:10.1016/j.eswa.2022.118018
   Web of Science ®Google Scholar
• Fallahi, A., Azimi-Dastgerdi, M., & Mokhtari, H. (2023). A sustainable production-inventory model joint with preventive maintenance and multiple shipments for imperfect quality items. Scientia Iranica, 30(3), 1204–1223.
   Web of Science ®Google Scholar
• Gharaei, A., & Almehdawe, E. (2020). Economic growing quantity. International Journal of Production Economics, 223, 107517. doi:10.1016/j.ijpe.2019.107517
   Web of Science ®Google Scholar
• Gharaei, A., & Almehdawe, E. (2021). Optimal sustainable order quantities for growing items. Journal of Cleaner Production, 307, 127216. doi:10.1016/j.jclepro.2021.127216
   Web of Science ®Google Scholar
• Gharakhani, B., Ghandehari, M., & Ansari, A. (2023). A mathematical model for optimizing pricing-inventory, and advertising frequency decisions with a multivariate demand function and a time-dependent holding-cost function. International Journal of Management Science and Engineering Management. 18(4):249–265. doi:10.1080/17509653.2022.2125452
   Web of Science ®Google Scholar
• Goliomytis, M., Panopoulou, E., & Rogdakis, E. (2003). Growth curves for body weight and major component parts, feed consumption, and mortality of male broiler chickens raised to maturity. Poultry Science. 82(7):1061–1068. doi:10.1093/ps/82.7.1061
   PubMed Web of Science ®Google Scholar
• Golpîra, H., Tirkolaee, E. B., Maihami, R., & Karimi, K. (2023). A robust tri-objective optimization to supply chain configuration under vendor-managed inventory policy considering supply chain visibility. Expert Systems with Applications, 224, 119916. doi:10.1016/j.eswa.2023.119916
   Web of Science ®Google Scholar
• Holland, J. H. (1992). Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. Cambridge, MA, USA: MIT Press.
   Google Scholar
• Jani, M. Y., Chaudhari, U., & Sarkar, B. (2021). How does an industry control a decision support system for a long time? RAIRO-Operations Research, 55(5), 3141–3152.
   Web of Science ®Google Scholar
• Keramati, F., Mokhtari, H., & Fallahi, A. (2022). Joint decisions on inventory classification, supplier selection and production policy for a multi-item EPQ inventory system under uncertainty. Journal of Quality Engineering and Production Optimization, 7(2), 186–204.
   Google Scholar
• Khalilpourazari, S., & Pasandideh, S. H. R. (2017). Multi-item EOQ model with nonlinear unit holding cost and partial backordering: Moth-flame optimization algorithm. Journal of Industrial and Production Engineering. 34(1):42–51. doi:10.1080/21681015.2016.1192068
   Web of Science ®Google Scholar
• Khalilpourazari, S., & Pasandideh, S. H. R. (2019). Modeling and optimization of multi-item multi-constrained EOQ model for growing items. Knowledge-Based Systems, 164, 150–162. doi:10.1016/j.knosys.2018.10.032
   Web of Science ®Google Scholar
• Khalilpourazari, S., Pasandideh, S. H. R., & Niaki, S. T. A. (2016). Optimization of multi-product economic production quantity model with partial backordering and physical constraints: SQP, SFS, SA, and WCA. Applied Soft Computing, 49, 770–791. doi:10.1016/j.asoc.2016.08.054
   Web of Science ®Google Scholar
• Khalilpourazari, S., Pasandideh, S. H. R., & Niaki, S. T. A. (2019). Optimizing a multi-item economic order quantity problem with imperfect items, inspection errors, and backorders. Soft Computing, 23(22), 11671–11698. doi:10.1007/s00500-018-03718-1
   Web of Science ®Google Scholar
• Khalilpourazari, S., Soltanzadeh, S., Weber, G.-W., & Roy, S. K. (2020). Designing an efficient blood supply chain network in crisis: Neural learning, optimization and case study. Annals of Operations Research, 289(1), 123–152. doi:10.1007/s10479-019-03437-2
   Web of Science ®Google Scholar
• Kirkpatrick, G., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671–680. doi:10.1126/science.220.4598.671
   PubMed Web of Science ®Google Scholar
• Kropat, E., & Weber, G. W. (2018). Fuzzy target-environment networks and fuzzy-regression approaches. Numerical Algebra, Control and Optimization, 8(2), 135–155. doi:10.3934/naco.2018008
   Google Scholar
• Lotfi, R., Kargar, B., Rajabzadeh, M., Hesabi, F., & Özceylan, E. (2022). Hybrid fuzzy and data-driven robust optimization for resilience and sustainable health care supply chain with vendor-managed inventory approach. International Journal of Fuzzy Systems. 24(2),1216–1231. doi:10.1007/s40815-021-01209-4
   Web of Science ®Google Scholar
• Maleki Vishkaei, B., Niaki, S. T. A., Farhangi, M., & Mahdavi, I. (2019). A single-retailer multi-supplier multi-product inventory model with destructive testing acceptance sampling and inflation. Journal of Industrial and Production Engineering. 36(6):351–361. doi:10.1080/21681015.2018.1479893
   Web of Science ®Google Scholar
• Mokhtari, H. (2018). Economic order quantity for joint complementary and substitutable items. Mathematics and Computers in Simulation, 154, 34–47. doi:10.1016/j.matcom.2018.06.004
   Web of Science ®Google Scholar
• Mokhtari, H., Hasani, A., & Fallahi, A. (2021). Multi-product constrained economic production quantity models for imperfect quality items with rework. International Journal of Industrial Engineering & Production Research, 32(2), 1–23.
   Google Scholar
• Mokhtari, H., Naimi-Sadigh, A., & Salmasnia, A. (2017). A computational approach to economic production quantity model for perishable products with backordering shortage and stock-dependent demand. Scientia Iranica. 24(4):2138–2151. doi:10.24200/sci.2017.4300
   Web of Science ®Google Scholar
• Mokhtari, H., Salmasnia, A., & Asadkhani, J. (2020). A new production-inventory planning model for joint growing and deteriorating items. International Journal of Supply and Operations Management, 7(1), 1–16.
   Google Scholar
• Mokhtari, H., Salmasnia, A., & Fallahi, A. (2022). Economic production quantity under possible substitution: A scenario analysis approach. International Journal of Industrial Engineering & Production Research, Research, 33(1), 1–17. doi:10.22068/ijiepr.33.1.2
   Google Scholar
• Mukhopadhyay, A. and Goswami, A. (2017). An inventory model with shortages for imperfect items using substitution of two products. International Journal of Operational Research. 30(2):193–219. doi:10.1504/IJOR.2017.086525
   Google Scholar
• Nobil, A. H., Afshar Sedigh, A. H., & Cárdenas-Barrón, L. E. (2018). Multi-machine economic production quantity for items with scrapped and rework with shortages and allocation decisions. Scientia Iranica, 25(4), 2331–2346.
   Web of Science ®Google Scholar
• Nobil, A. H., Nobil, E., Cárdenas-Barrón, L. E., Garza-Núñez, D., Treviño-Garza, G., Céspedes-Mota, A., & Loera-Hernández, I. D. J. (2023a). Discontinuous economic growing quantity inventory model. Mathematics, 11(15), 3258. doi:10.3390/math11153258
   Web of Science ®Google Scholar
• Nobil, A. H., Nobil, E., Cárdenas-Barrón, L. E., Garza-Núñez, D., Treviño-Garza, G., Céspedes-Mota, A., & Loera-Hernández, I. D. J. (2023b). Economic growing quantity model with mortality in newborn items and inhibition cost of ammonia production under all-units discount policy. Sustainability, 15(10), 8086. doi:10.3390/su15108086
   Web of Science ®Google Scholar
• Nobil, A. H., Nobil, E., Cárdenas-Barrón, L. E., Garza-Núñez, D., Treviño-Garza, G., Céspedes-Mota, A., & Loera-Hernández, I. D. J. (2023c). Economic order quantity for growing items with mortality function under sustainable green breeding policy. Mathematics, 11(4), 1039. doi:10.3390/math11041039
   Web of Science ®Google Scholar
• Nobil, A. H., Sedigh, A. H. A., & Cárdenas-Barrón, L. E. (2019). A generalized economic order quantity inventory model with shortage: Case study of a poultry farmer. Arabian Journal for Science & Engineering, 44(3), 2653–2663. doi:10.1007/s13369-018-3322-z
   Web of Science ®Google Scholar
• Nozari, H., Ghahremani-Nahr, J., & Szmelter-Jarosz, A. (2023). A multi-stage stochastic inventory management model for transport companies including several different transport modes. International Journal of Management Science and Engineering Management. 18(2):134–144. doi:10.1080/17509653.2022.2042747
   Web of Science ®Google Scholar
• Özmen, A., Kropat, E., and Weber, G.-W. (2017). Robust optimization in spline regression models for multi-model regulatory networks under polyhedral uncertainty. Optimization. 66(12):2135–2155. doi:10.1080/02331934.2016.1209672
   Web of Science ®Google Scholar
• Özmen, A., Weber, G. W., Batmaz, İ., & Kropat, E. (2011). RCMARS: Robustification of CMARS with different scenarios under polyhedral uncertainty set. Communications in Nonlinear Science and Numerical Simulation. 16(12):4780–4787. doi:10.1016/j.cnsns.2011.04.001
   Web of Science ®Google Scholar
• Özmen, A., Weber, G.-W., Çavuşoğlu, Z., & Defterli, Ö. (2013). The new robust conic GPLM method with an application to finance: Prediction of credit default. Journal of Global Optimization. 56(2):233–249. doi:10.1007/s10898-012-9902-7
   Web of Science ®Google Scholar
• Özmen, A., Zinchenko, Y., & Weber, G.-W. (2023). Robust multivariate adaptive regression splines under cross-polytope uncertainty: An application in a natural gas market. Annals of Operations Research, 324(1), 1337–1367. doi:10.1007/s10479-022-04993-w
   Web of Science ®Google Scholar
• Pasandideh, S. H. R., Niaki, S. T. A., & Nia, A. R. (2011). A genetic algorithm for vendor managed inventory control system of multi-product multi-constraint economic order quantity model. Expert Systems with Applications. 38(3):2708–2716. doi:10.1016/j.eswa.2010.08.060
   Web of Science ®Google Scholar
• Pasandideh, S. H. R., Niaki, S. T. A., & Tokhmehchi, N. (2011). A parameter-tuned genetic algorithm to optimize two-echelon continuous review inventory systems. Expert Systems with Applications. 38(9):11708–11714. doi:10.1016/j.eswa.2011.03.056
   Web of Science ®Google Scholar
• Paul, A., Pervin, M., Pinto, R. V., Roy, S. K., Maculan, N., & Weber, G. W. (2023). Effects of multiple prepayments and green investment on an EPQ model. Journal of Industrial and Management Optimization, 19(9), 6688–6704. doi:10.3934/jimo.2022234
   Web of Science ®Google Scholar
• Paul, A., Pervin, M., Roy, S. K., Maculan, N., & Weber, G.-W. (2022). A green inventory model with the effect of carbon taxation. Annals of Operations Research. 309(1):233–248. doi:10.1007/s10479-021-04143-8
   Web of Science ®Google Scholar
• Pervin, M., Mahata, G. C., & Kumar Roy, S. (2016). An inventory model with declining demand market for deteriorating items under a trade credit policy. International Journal of Management Science and Engineering Management. 11(4):243–251. doi:10.1080/17509653.2015.1081082
   Web of Science ®Google Scholar
• Pervin, M., Roy, S. K., Sannyashi, P., & Weber, G.-W. (2023). Sustainable inventory model with environmental impact for non-instantaneous deteriorating items with composite demand. RAIRO-Operations Research, 57(1), 237–261. doi:10.1051/ro/2023005
   Web of Science ®Google Scholar
• Pervin, M., Roy, S. K., & Weber, G.-W. (2018). Analysis of inventory control model with shortage under time-dependent demand and time-varying holding cost including stochastic deterioration. Annals of Operations Research. 260(1–2):437–460. doi:10.1007/s10479-016-2355-5
   Web of Science ®Google Scholar
• Razmi, J., Baki, F., & Sabbaghnia, A. (2023). A dynamic ordering policy for a three echelon supply chain with backordering for perishable goods. International Journal of Management Science and Engineering Management. 18(4):266–276. doi:10.1080/17509653.2022.2134222
   Web of Science ®Google Scholar
• Rezaei, J. (2014). Economic order quantity for growing items. International Journal of Production Economics, 155, 109–113. doi:10.1016/j.ijpe.2013.11.026
   Web of Science ®Google Scholar
• Richards, F. (1959). A flexible growth function for empirical use. Journal of Experimental Botany. 10(2):290–301. doi:10.1093/jxb/10.2.290
   Web of Science ®Google Scholar
• Roy, S. K., Midya, S., & Weber, G.-W. (2019). Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty. Neural Computing and Applications. 31(12):8593–8613. doi:10.1007/s00521-019-04431-2
   Web of Science ®Google Scholar
• Roy, S. K., Pervin, M., & Weber, G. W. (2020). Imperfection with inspection policy and variable demand under trade-credit: A deteriorating inventory model. 10(1), 45–74. doi:10.3934/naco.2019032
   Google Scholar
• Sadeghi, A. H., Amani Bani, E., Fallahi, A., & Handfield, R. (2023). Grey wolf optimizer and whale optimization algorithm for stochastic inventory management of reusable products in a two-level supply chain. Institute of Electrical and Electronics Engineers Access, 11, 40278–40297. doi:10.1109/ACCESS.2023.3269292
   Google Scholar
• Salameh, M. K., Yassine, A. A., Maddah, B., & Ghaddar, L. (2014). Joint replenishment model with substitution. Applied Mathematical Modelling. 38(14):3662–3671. doi:10.1016/j.apm.2013.12.008
   Web of Science ®Google Scholar
• Savku, E., & Weber, G.-W. (2018). A stochastic maximum principle for a Markov regime-switching jump-diffusion model with delay and an application to finance. Journal of Optimization Theory and Applications. 179(2):696–721. doi:10.1007/s10957-017-1159-3
   Web of Science ®Google Scholar
• Sebatjane, M., & Adetunji, O. (2019a). Economic order quantity model for growing items with imperfect quality. Operations Research Perspectives, 6, 100088. doi:10.1016/j.orp.2018.11.004
   Web of Science ®Google Scholar
• Sebatjane, M., & Adetunji, O. (2019b). Economic order quantity model for growing items with incremental quantity discounts. Journal of Industrial Engineering International. 15(4):545–556. doi:10.1007/s40092-019-0311-0
   Google Scholar
• Sebatjane, M., & Adetunji, O. (2021). Optimal lot-sizing and shipment decisions in a three-echelon supply chain for growing items with inventory level-and expiration date-dependent demand. Applied Mathematical Modelling, 90, 1204–1225. doi:10.1016/j.apm.2020.10.021
   Web of Science ®Google Scholar
• Sebatjane, M., & Adetunji, O. (2023). A four-echelon supply chain inventory model for growing items with imperfect quality and errors in quality inspection. Annals of Operations Research, 335(1), 1–33. doi:10.1007/s10479-023-05501-4
   Web of Science ®Google Scholar
• Shah, N., Chaudhari, U., and Jani, M. (2019). Inventory control policies for substitutable deteriorating items under quadratic demand. Operations and Supply Chain Management: An International Journal. 12(1):42–48. doi:10.31387/oscm0360221
   Google Scholar
• Singh, R., & Mishra, V. K. (2022). Sustainable integrated inventory model for substitutable deteriorating items considering both transport and industry carbon emissions. Journal of Systems Science and Systems Engineering. 31(3):267–287. doi:10.1007/s11518-022-5531-y
   Web of Science ®Google Scholar
• Taheri, J., & Mirzazadeh, A. (2022). Optimization of inventory system with defects, rework failure and two types of errors under crisp and fuzzy approach. Journal of Industrial and Management Optimization. 18(4):2289–2318. doi:10.3934/jimo.2021068
   Web of Science ®Google Scholar
• Taleizadeh, A. A., Niaki, S. T. A., Aryanezhad, M.-B., & Shafii, N. (2013). A hybrid method of fuzzy simulation and genetic algorithm to optimize constrained inventory control systems with stochastic replenishments and fuzzy demand. Information Sciences, 220, 425–441. doi:10.1016/j.ins.2012.07.027
   Web of Science ®Google Scholar
• Zhang, R.-Q., Kaku, I., & Xiao, Y.-Y. (2011). Deterministic EOQ with partial backordering and correlated demand caused by cross-selling. European Journal of Operational Research. 210(3):537–551. doi:10.1016/j.ejor.2010.10.001
   Web of Science ®Google Scholar