[
[1] Baruffaldi G., Accorsi R., Manzini R., Warehouse management system customization and information availability in 3pl companies: a decision-support tool, Industrial Management & Data Systems, 119, 2, 2018, 251-273.10.1108/IMDS-01-2018-0033
]Search in Google Scholar
[
[2] Ben-Daya M., The economic production lot-sizing problem with imperfect production processes and imperfect maintenance, International Journal of Production Economics, 76, 3, 2002, 257-264.10.1016/S0925-5273(01)00168-2
]Search in Google Scholar
[
[3] Cárdenas-Barrón L.E., Economic production quantity with rework process at a single-stage manufacturing system with planned backorders, Computers & Industrial Engineering, 57, 3, 2009, 1105-1113.10.1016/j.cie.2009.04.020
]Search in Google Scholar
[
[4] Cherchata A., Popovychenko I., Andrusiv U., Gryn V., Shevchenko N., Shkuropatskyi O., Innovations in logistics management as a direction for improving the logistics activities of enterprises, Management Systems in Production Engineering, 30, 1, 2022, 9-17.10.2478/mspe-2022-0002
]Search in Google Scholar
[
[5] Chiu Y.S.P., Chiu S.W., Determining the materials procurement policy based on the economic order/production models with backlogging permitted, The International Journal of Advanced Manufacturing Technology, 30, 1, 2006, 156-165.10.1007/s00170-005-0026-9
]Search in Google Scholar
[
[6] Dolgui A., Ivanov D., Sethi S P., Sokolov B., Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications, International Journal of Production Research, 57, 2, 2019, 411-432.10.1080/00207543.2018.1442948
]Search in Google Scholar
[
[7] Gharaei A., Karimi M., Shekarabi S.A.H., An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: the outer approximation with equality relaxation and augmented penalty algorithm, Applied Mathematical Modelling, 69, 2019, 223-254.10.1016/j.apm.2018.11.035
]Search in Google Scholar
[
[8] Goli A., Malmir B., A covering tour approach for disaster relief locating and routing with fuzzy demand, International Journal of Intelligent Transportation Systems Research, 18, 1, 2020, 140-152.10.1007/s13177-019-00185-2
]Search in Google Scholar
[
[9] Goli A., Khademi-Zare H., Tavakkoli-Moghaddam R., Sadeghieh A., Sasanian M., Malekalipour Kordestanizadeh R., An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study, Network: computation in neural systems, 32, 1, 2021, 1-35.10.1080/0954898X.2020.1849841
]Search in Google Scholar
[
[10] Hariga M.A., Economic production-ordering quantity models with limited production capacity, Production Planning & Control, 9, 7, 1998, 671-674.10.1080/095372898233669
]Search in Google Scholar
[
[11] Goyal S.K., Gopalakrishnan M., Production lot sizing model with insufficient production capacity, Production Planning & Control, 7, 2, 1996, 222-224.10.1080/09537289608930345
]Search in Google Scholar
[
[12] Mishra U., Wu J.Z., Sarkar B., Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions, Journal of Cleaner Production, 279, 2021, 123699.10.1016/j.jclepro.2020.123699
]Search in Google Scholar
[
[13] Mahapatra A.S., N Soni H., Mahapatra M.S., Sarkar B., Majumder S., A continuous review production-inventory system with a variable preparation time in a fuzzy random environment, Mathematics, 9, 7, 2021, 747.10.3390/math9070747
]Search in Google Scholar
[
[14] Pahlevan S.M., Hosseini S.M.S., Goli A., Sustainable supply chain network design using products’ life cycle in the aluminum industry, Environmental Science and Pollution Research, 2021, 1-25.10.1007/s11356-020-12150-8
]Search in Google Scholar
[
[15] Pentico D.W., Drake M.J., A survey of deterministic models for the EOQ and EPQ with partial backordering, European journal of operational research, 214, 2, 2011, 179-198.10.1016/j.ejor.2011.01.048
]Search in Google Scholar
[
[16] Pasandideh S.H.R., Niaki S.T.A., A genetic algorithm approach to optimize a multi-products EPQ model with discrete delivery orders and constrained space, Applied Mathematics and Computation, 195, 2, 2008, 506-514.10.1016/j.amc.2007.05.007
]Search in Google Scholar
[
[17] Paul S.K., Chowdhury P., A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19, International Journal of Physical Distribution & Logistics Management, 51, 2, 2020, 104-125.10.1108/IJPDLM-04-2020-0127
]Search in Google Scholar
[
[18] Saha E., Ray P.K., Modelling and analysis of inventory management systems in healthcare: A review and reflections, Computers & Industrial Engineering, 137, 2019, 106051.10.1016/j.cie.2019.106051
]Search in Google Scholar
[
[19] Soleymanfar V.R., Makui A., Taleizadeh A.A., Tavakkoli-Moghaddam R., Sustainable EOQ and EPQ models for a two-echelon multi-product supply chain with return policy, Environment, Development and Sustainability, 24, 4, 2022, 5317-5343.10.1007/s10668-021-01660-1
]Search in Google Scholar
[
[20] Taleizadeh A.A., Askari R., Konstantaras I., An optimization model for a manufacturing-inventory system with rework process based on failure severity under multiple constraints, Neural Computing and Applications, 34, 6) 2022, 4221-4264.10.1007/s00521-021-06513-6
]Search in Google Scholar
[
[21] Taleizadeh A.A., Niaki S.T.A., Najafi A.A., Multi-product single-machine production system with stochastic scrapped production rate, partial backordering and service level constraint, Journal of Computational and Applied Mathematics, 233, 8, 20101834-1849.10.1016/j.cam.2009.09.021
]Search in Google Scholar
[
[22] Teerasoponpong S., Sopadang A., Decision support system for adaptive sourcing and inventory management in small-and medium-sized enterprises, Robotics and Computer-Integrated Manufacturing, 73, 2022, 102226.10.1016/j.rcim.2021.102226
]Search in Google Scholar
, 