Diverse-seasons-nested-in-periods mathematical models for investigating the economic effects of supply chain planning under simultaneous seasonal fluctuations

References

• Alizadeh, M., Ma, J., Marufuzzaman, M., & Yu, F. (2019). Sustainable olefin supply chain network design under seasonal feedstock supplies and uncertain carbon tax rate. Journal of Cleaner Production, 222, 280–299. https://doi.org/10.1016/j.jclepro.2019.02.188
   Web of Science ®Google Scholar
• Ardeshiri, A., Sampson, S., & Swait, J. (2019). Seasonality effects on consumers' preferences over quality attributes of different beef products. Meat Science, 157, 107868. https://doi.org/10.1016/j.meatsci.2019.06.004
   PubMed Web of Science ®Google Scholar
• Bala, B., Bhuiyan, M. G. K., Alam, M. M., Arshad, F. M., Sidique, S. F., & Alias, E. F. (2017). Modelling of the supply chain of rice in Bangladesh. International Journal of Systems Science: Operations & Logistics, 4(2), 181–197. https://doi.org/10.1080/23302674.2016.1179813
   Google Scholar
• Banerjee, S., & Sharma, A. (2010). Inventory model for seasonal demand with the option to change the market. Computers & Industrial Engineering, 59(4), 807–818. https://doi.org/10.1016/j.cie.2010.08.008
   Web of Science ®Google Scholar
• Bayraktar, E., Lenny Koh, S. C., Gunasekaran, A., Sari, K., & Tatoglu, E. (2008). The role of forecasting on bullwhip effect for E-SCM applications. International Journal of Production Economics, 113(1), 193–204. https://doi.org/10.1016/j.ijpe.2007.03.024
   Web of Science ®Google Scholar
• Behroozi, F., Hosseini, S. M. H., & Sana, S. S. (2021). Teaching–learning-based genetic algorithm (TLBGA): an improved solution method for continuous optimization problems. International Journal of System Assurance Engineering and Management, 12(6), 1362–1384.
   Web of Science ®Google Scholar
• Bekkering, J., Hengeveld, E. J., van Gemert, W. J. T., & Broekhuis, A. A. (2015). Designing a green gas supply to meet regional seasonal demand–An operations research case study. Applied Energy, 143, 348–358. https://doi.org/10.1016/j.apenergy.2015.01.034
   Web of Science ®Google Scholar
• Boada-Collado, P., & Martínez-de-Albéniz, V. (2020). Estimating and optimizing the impact of inventory on consumer choices in a fashion retail setting. Manufacturing & Service Operations Management, 22(3), 582–597. https://doi.org/10.1287/msom.2018.0764
   Google Scholar
• Borucka, A. (2023). Seasonal methods of demand forecasting in the supply chain as support for the company’s sustainable growth. Sustainability, 15(9), 7399. https://doi.org/10.3390/su15097399
   Web of Science ®Google Scholar
• Bradley, J. R., & Arntzen, B. C. (1999). The simultaneous planning of production, capacity, and inventory in seasonal demand environments. Operations Research, 47(6), 795–806. https://doi.org/10.1287/opre.47.6.795
   Web of Science ®Google Scholar
• Çağrı, K., Özceylan, E., Kesen, S., Çil, Z. A., & Mete, S. (2018). Forward supply chain network design problem: Heuristic approaches. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 24(4), 749–763.
   Google Scholar
• Canizes, B., Soares, J., Lezama, F., Silva, C., Vale, Z., & Corchado, J. M. (2019). Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation. Renewable Energy, 138, 937–954. https://doi.org/10.1016/j.renene.2019.02.006
   Web of Science ®Google Scholar
• Chang, C.-T., & Chou, H.-C. (2013). A coordination system for seasonal demand problems in the supply chain. Applied Mathematical Modelling, 37(6), 3674–3686. https://doi.org/10.1016/j.apm.2012.07.061
   Web of Science ®Google Scholar
• Chen, K. K., & Chang, C.-T. (2007). A seasonal demand inventory model with variable lead time and resource constraints. Applied Mathematical Modeling, 31(11), 2433–2445. https://doi.org/10.1016/j.apm.2006.09.009
   Web of Science ®Google Scholar
• Cho, D. W., & Lee, Y. H. (2013). The value of information sharing in a supply chain with a seasonal demand process. Computers & Industrial Engineering, 65(1), 97–108. https://doi.org/10.1016/j.cie.2011.12.004
   Web of Science ®Google Scholar
• Costantino, F., Di Gravio, G., Shaban, A., & Tronci, M. (2016). Smoothing inventory decision rules in seasonal supply chains. Expert Systems with Applications, 44, 304–319. https://doi.org/10.1016/j.eswa.2015.08.052
   Web of Science ®Google Scholar
• de Almeida Sfeir, T., Pécora, J. E., Ruiz, A., & LeBel, L. (2021). Integrating natural wood drying and seasonal trucks’ workload restrictions into forestry transportation planning. Omega, 98, 102135. https://doi.org/10.1016/j.omega.2019.102135
   Web of Science ®Google Scholar
• Djebou, C. D. S., Conger, S., Szogi, A. A., Stone, K. C., & Martin, J. H. (2021). Seasonal precipitation pattern analysis for decision support of agricultural irrigation management in Louisiana, USA. Agricultural Water Management, 254, 106970. https://doi.org/10.1016/j.agwat.2021.106970
   Web of Science ®Google Scholar
• Domingues, R., Baringer, M., & Goni, G. (2016). Remote sources for year-to-year changes in the seasonality of the Florida current transport. Journal of Geophysical Research: Oceans, 121(10), 7547–7559. https://doi.org/10.1002/2016JC012070
   Web of Science ®Google Scholar
• Egging-Bratseth, R., Kauko, H., Knudsen, B. R., Bakke, S. A., Ettayebi, A., & Haufe, I. R. (2021). Seasonal storage and demand side management in district heating systems with demand uncertainty. Applied Energy, 285, 116392. https://doi.org/10.1016/j.apenergy.2020.116392
   Web of Science ®Google Scholar
• Ehrenthal, J., Honhon, D., & Van Woensel, T. (2014). Demand seasonality in retail inventory management. European Journal of Operational Research, 238(2), 527–539. https://doi.org/10.1016/j.ejor.2014.03.030
   Web of Science ®Google Scholar
• Eshraghi, H., de Queiroz, A. R., Sankarasubramanian, A., & DeCarolis, J. F. (2021). Quantification of climate-induced interannual variability in residential US electricity demand. Energy, 236, 121273.
   Web of Science ®Google Scholar
• Goli, A., Ala, A., & Mirjalili, S. (2023). A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty. Annals of Operations Research, 328(1), 493–530. https://doi.org/10.1007/s10479-022-04829-7
   Web of Science ®Google Scholar
• Grewal, C. S., Enns, S. T., & Rogers, P. (2015). Dynamic reorder point replenishment strategies for a capacitated supply chain with seasonal demand. Computers & Industrial Engineering, 80, 97–110. https://doi.org/10.1016/j.cie.2014.11.009
   Web of Science ®Google Scholar
• Grossi, L., & Mussini, M. (2021). Seasonality in tourist flows: Decomposing and testing changes in seasonal concentration. Tourism Management, 84, 104289. https://doi.org/10.1016/j.tourman.2021.104289
   Web of Science ®Google Scholar
• Hammer, J., Poliak, M., Jaskiewicz, M., & Ríha, Z. (2019). Identification of change seasonality of demand to transportation in road freight transport. Transportation Research Procedia, 40, 1059–1066. https://doi.org/10.1016/j.trpro.2019.07.148
   Google Scholar
• Huang, Y., Fan, Y., & Chen, C.-W. (2014). An integrated biofuel supply chain to cope with feedstock seasonality and uncertainty. Transportation Science, 48(4), 540–554. https://doi.org/10.1287/trsc.2013.0498
   Web of Science ®Google Scholar
• Huang, Y.-S., Ho, C.-H., & Fang, C.-C. (2016). Information sharing in the supply chains of products with seasonal demand. IEEE Transactions on Engineering Management, 64(1), 57–69. https://doi.org/10.1109/TEM.2016.2623327
   Web of Science ®Google Scholar
• Hussaini, Z., Nemati, A., & Paydar, M. M. (2023). A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: A healthcare closed-loop supply chain application. Annals of Operations Research, 1–46.
   Web of Science ®Google Scholar
• Ivanov, D., & Dolgui, A. (2022). Stress testing supply chains and creating viable ecosystems. Operations Management Research, 15(1-2), 475–486. https://doi.org/10.1007/s12063-021-00194-z
   Web of Science ®Google Scholar
• Kaminsky, P., & Swaminathan, J. M. (2004). Effective heuristics for capacitated production planning with multiperiod production and demand with forecast band refinement. Manufacturing & Service Operations Management, 6(2), 184–194. https://doi.org/10.1287/msom.1030.0032
   Google Scholar
• Kantari, L. A., Pujawan, I. N., Arvitrida, N. I., & Hilletofth, P. (2021). Investigating the mix of contract-based and on-demand sourcing for transportation services under fluctuating and seasonal demand. International Journal of Logistics Research and Applications, 24(3), 280–302. https://doi.org/10.1080/13675567.2020.1751807
   Web of Science ®Google Scholar
• Linkov, I., Trump, B., Trump, J., Pescaroli, G., Hynes, W., Mavrodieva, A., & Panda, A. (2022). Resilience stress testing for critical infrastructure. International Journal of Disaster Risk Reduction, 82, 103323.
   Web of Science ®Google Scholar
• Liu, H., Zhang, J., Zhou, C., & Ru, Y. (2018). Optimal purchase and inventory retrieval policies for perishable seasonal agricultural products. Omega, 79, 133–145. https://doi.org/10.1016/j.omega.2017.08.006
   Web of Science ®Google Scholar
• Nagaraja, C. H., Thavaneswaran, A., & Appadoo, S. (2015). Measuring the bullwhip effect for supply chains with seasonal demand components. European Journal of Operational Research, 242(2), 445–454. https://doi.org/10.1016/j.ejor.2014.10.022
   Web of Science ®Google Scholar
• Panda, S., Senapati, S., & Basu, M. (2008). Optimal replenishment policy for perishable seasonal products in a season with ramp-type time-dependent demand. Computers & Industrial Engineering, 54(2), 301–314. https://doi.org/10.1016/j.cie.2007.07.011
   Web of Science ®Google Scholar
• Polotski, V., Kenné, J.-P., & Gharbi, A. (2023). Estimation-based production control of manufacturing–remanufacturing systems with uncertain seasonal return and imprecise demand and inventory. International Journal of Production Research, 1–28. https://doi.org/10.1080/00207543.2023.2269275
   Web of Science ®Google Scholar
• Quinlan, C., Keane, M., O’Connor, D., & Shalloo, L. (2012). Milk transport costs under differing seasonality assumptions for the Irish dairy industry. International Journal of Dairy Technology, 65(1), 22–31. https://doi.org/10.1111/j.1471-0307.2011.00734.x
   Web of Science ®Google Scholar
• Razmi, J., Kazerooni, M. P., & Sangari, M. S. (2016). Designing an integrated multi-echelon, multi-product, and multi-period supply chain network with seasonal raw materials. Economic Computation & Economic Cybernetics Studies & Research, 50(1), 273–290.
   Web of Science ®Google Scholar
• Rodriguez, M. A., & Vecchietti, A. (2010). Inventory and delivery optimization under seasonal demand in the supply chain. Computers & Chemical Engineering, 34(10), 1705–1718. https://doi.org/10.1016/j.compchemeng.2010.02.009
   Web of Science ®Google Scholar
• Sakulsom, N., & Tharmmaphornphilas, W. (2019). Heuristics for a periodic-review policy in a two-echelon inventory problem with seasonal demand. Computers & Industrial Engineering, 133, 292–302. https://doi.org/10.1016/j.cie.2019.05.017
   Web of Science ®Google Scholar
• Simchi-Levi, D., & Simchi-Levi, E. (2020). We need a stress test for critical supply chains. Harvard Business Review, 28.
   Google Scholar
• Sun, Z., Xu, Q., & Liu, J. (2021). Pricing and replenishment decisions for seasonal and nonseasonal products in a shared supply chain. International Journal of Production Economics, 233, 108011. https://doi.org/10.1016/j.ijpe.2020.108011
   Web of Science ®Google Scholar
• Świderski, A. (2019). Modeling of transport processes in terms of seasonality of transport. Scientific Journal of Polish Naval Academy, 60, 103–116.
   Google Scholar
• Tirkolaee, E. B., Goli, A., Ghasemi, P., & Goodarzian, F. (2022). Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. Journal of Cleaner Production, 333, 130056. https://doi.org/10.1016/j.jclepro.2021.130056
   PubMed Web of Science ®Google Scholar
• Wolff, M., Becker, T., & Walther, G. (2023). Long-term design and analysis of renewable fuel supply chains–An integrated approach considering seasonal resource availability. European Journal of Operational Research, 304(2), 745–762. https://doi.org/10.1016/j.ejor.2022.04.001
   Web of Science ®Google Scholar
• Wu, X., Cao, W., Wang, D., Ding, M., Yu, L., & Nakanishi, Y. (2021). Demand response model based on improved Pareto optimum considering seasonal electricity prices for Dongfushan Island. Renewable Energy, 164, 926–936. https://doi.org/10.1016/j.renene.2020.08.003
   Web of Science ®Google Scholar
• Xie, C., Deng, X., Zhang, J., Wang, Y., Zheng, L., Ding, X., Li, X., & Wu, L. (2023). Multi-period design and optimization of classified municipal solid waste supply chain integrating seasonal fluctuations in waste generation. Sustainable Cities and Society, 93, 104522. https://doi.org/10.1016/j.scs.2023.104522
   Web of Science ®Google Scholar
• Xie, F., Huang, Y., & Eksioglu, S. (2014). Integrating multimodal transport into cellulosic biofuel supply chain design under feedstock seasonality with a case study based on California. Bioresource Technology, 152, 15–23. https://doi.org/10.1016/j.biortech.2013.10.074
   PubMed Web of Science ®Google Scholar