A sustainable inventory optimisation considering imperfect production under uncertain environment

References

• Akhtar, F., Khan, M. A. A., Shaikh, A. A., & Alrasheedi, A. F. (2024). Interval valued inventory model for deterioration, carbon emissions and selling price dependent demand considering buy now and pay later facility. Ain Shams Engineering Journal, 15(3), 102563. https://doi.org/10.1016/j.asej.2023.102563
   Web of Science ®Google Scholar
• Alinaghian, M., Tirkolaee, E. B., Dezaki, Z. K., Hejazi, S. R., & Ding, W. (2021). An augmented Tabu search algorithm for the green inventory-routing problem with time windows. Swarm and Evolutionary Computation, 60, 100802. https://doi.org/10.1016/j.swevo.2020.100802
   Web of Science ®Google Scholar
• Barman, H., Pervin, M., & Roy, S. K. (2022). Impacts of green and preservation technology investments on a sustainable epq model during covid-19 pandemic. RAIRO-Operations Research, 56(4), 2245–2275. https://doi.org/10.1051/ro/2022102
   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. https://doi.org/10.1016/j.aei.2023.102081
   Web of Science ®Google Scholar
• Castellano, D., Gabbrielli, R., Gallo, M., Giri, B. C., & Sarkar, S. (2023). Optimizing production-inventory replenishment and lead time decisions under a fill rate constraint in a two-echelon sustainable supply chain with quality issues. International Journal of Systems Science: Operations & Logistics, 10(1), 2173540.
   Web of Science ®Google Scholar
• Das, K., & Islam, S. (2024). A deterministic multi-item inventory model with quadratic demand under neutrosophic and pythagorean hesitant fuzzy programming approach. Results in Control and Optimization, 14, 100367. https://doi.org/10.1016/j.rico.2023.100367
   Google Scholar
• Das, S. K., Pervin, M., Roy, S. K., & Weber, G. W. (2023). Multi-objective solid transportation-location problem with variable carbon emission in inventory management: A hybrid approach. Annals of Operations Research, 324(1-2), 283–309. https://doi.org/10.1007/s10479-020-03809-z
   Web of Science ®Google Scholar
• De, S. K., & Mahata, G. C. (2017). Decision of a fuzzy inventory with fuzzy backorder model under cloudy fuzzy demand rate. International Journal of Applied and Computational Mathematics, 3(3), 2593–2609. https://doi.org/10.1007/s40819-016-0258-4
   Google Scholar
• De, S. K., & Mahata, G. C. (2019). A cloudy fuzzy economic order quantity model for imperfect-quality items with allowable proportionate discounts. Journal of Industrial Engineering International, 15(4), 571–583. https://doi.org/10.1007/s40092-019-0310-1
   Google Scholar
• Dinagar, D. S., & Manvizhi, M. (2022). Single-stage fuzzy economic inventory models with backorders and rework process for imperfect items. Journal of Algebraic Statistics, 13(3), 3008–3020.
   Google Scholar
• Dutta, D., & Kumar, P. (2013). Fuzzy inventory model for deteriorating items with shortages under fully backlogged condition. International Journal of Soft Computing and Engineering (IJSCE), 3(2), 393–398.
   Google Scholar
• Elhedhli, S., & Merrick, R. (2012). Green supply chain network design to reduce carbon emissions. Transportation Research Part D: Transport and Environment, 17(5), 370–379. https://doi.org/10.1016/j.trd.2012.02.002
   Web of Science ®Google Scholar
• Feng, Y., Liu, Y., & Chen, Y. (2022). A robust multi-supplier multi-period inventory model with uncertain market demand and carbon emission constraint. Computers & Industrial Engineering, 165, 107937. https://doi.org/10.1016/j.cie.2022.107937
   Web of Science ®Google Scholar
• Ghasemi, N., & Afshar Nadjafi, B. (2013). Eoq models with varying holding cost. Journal of Industrial Mathematics, 2013(1), Article ID 743921, 7 pages.
   Google Scholar
• Guchhait, P., Maiti, M. K., & Maiti, M. (2013). Production-inventory models for a damageable item with variable demands and inventory costs in an imperfect production process. International Journal of Production Economics, 144(1), 180–188. https://doi.org/10.1016/j.ijpe.2013.02.002
   Web of Science ®Google Scholar
• Jauhari, W. A., Pujawan, I. N., & Suef, M. (2023). Sustainable inventory management with hybrid production system and investment to reduce defects. Annals of Operations Research, 324(1-2), 543–572. https://doi.org/10.1007/s10479-022-04666-8
   Web of Science ®Google Scholar
• Jauhari, W. A., & Wangsa, I. D. (2022). A manufacturer-retailer inventory model with remanufacturing, stochastic demand, and green investments. Process Integration and Optimization for Sustainability, 6(2), 253–273. https://doi.org/10.1007/s41660-021-00208-0
   Google Scholar
• Khanna, A., Gautam, P., & Jaggi, C. K. (2017). Inventory modeling for deteriorating imperfect quality items with selling price dependent demand and shortage backordering under credit financing. International Journal of Mathematical, Engineering and Management Sciences, 2(2), 110–124. https://doi.org/10.33889/24557749
   Google Scholar
• Kumar, N., Singh, S. R., & Kumari, R. (2012). An inventory model with time-dependent demand and limited storage facility under inflation. Advances in Operations Research, 2012, Article ID 321471. https://doi.org/10.1155/2012/321471
   Google Scholar
• Kwakernaak, H. (1978). Fuzzy random variables–i. definitions and theorems. Information Sciences, 15(1), 1–29. https://doi.org/10.1016/0020-0255(78)90019-1
   Web of Science ®Google Scholar
• Li, J., Xu, J., & Gen, M. (2006). A class of multiobjective linear programming model with fuzzy random coefficients. Mathematical and Computer Modelling, 44(11-12), 1097–1113. https://doi.org/10.1016/j.mcm.2006.03.013
   Google Scholar
• Liu, B., & Liu, Y.-K. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445–450. https://doi.org/10.1109/TFUZZ.2002.800692
   Web of Science ®Google Scholar
• Liu, Y.-K., & Liu, B. (2003). Fuzzy random variables: A scalar expected value operator. Fuzzy Optimization and Decision Making, 2(2), 143–160. https://doi.org/10.1023/A:1023447217758
   Google Scholar
• Liu, Y.-K., & Liu, B. (2005). Fuzzy random programming with equilibrium chance constraints. Information Sciences, 170(2-4), 363–395. https://doi.org/10.1016/j.ins.2004.03.010
   Web of Science ®Google Scholar
• Mandal, P., & Giri, B. C. (2019). A two-warehouse integrated inventory model with imperfect production process under stock-dependent demand and quantity discount offer. International Journal of Systems Science: Operations & Logistics, 6(1), 15–26.
   Google Scholar
• Mondal, A., Giri, B. K., & Roy, S. K. (2023). An integrated sustainable bio-fuel and bio-energy supply chain: A novel approach based on dematel and fuzzy-random robust flexible programming with me measure. Applied Energy, 343, 121225. https://doi.org/10.1016/j.apenergy.2023.121225
   Web of Science ®Google Scholar
• Pakhira, R., Mondal, B., Thirthar, A. A., Alqudah, M. A., & Abdeljawad, T. (2024). Developing a fuzzy logic-based carbon emission cost-incorporated inventory model with memory effects. Ain Shams Engineering Journal, 15(6), 102746. https://doi.org/10.1016/j.asej.2024.102746
   Web of Science ®Google Scholar
• Pervin, M., Roy, S. K., & Weber, G. W. (2020). Deteriorating inventory with preservation technology under price-and stock-sensitive demand. Journal of Industrial & Management Optimization, 16(4), 1585–1612. https://doi.org/10.3934/jimo.2019019
   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. Numerical Algebra, Control & Optimization, 10(1), 45–74. https://doi.org/10.3934/naco.2019032
   Google Scholar
• Ruidas, S., Seikh, M. R., & Nayak, P. K. (2020). An EPQ model with stock and selling price dependent demand and variable production rate in interval environment. International Journal of System Assurance Engineering and Management, 11, 385–399.
   Web of Science ®Google Scholar
• Ruidas, S., Seikh, M. R., & Nayak, P. K. (2021). A production inventory model with interval-valued carbon emission parameters under price-sensitive demand. Computers & Industrial Engineering, 154, 107154. https://doi.org/10.1016/j.cie.2021.107154
   Web of Science ®Google Scholar
• Ruidas, S., Seikh, M. R., & Nayak, P. K. (2022). A production-repairing inventory model considering demand and the proportion of defective items as rough intervals. Operational Research, 22(3), 2803–2829. https://doi.org/10.1007/s12351-021-00634-5
   Web of Science ®Google Scholar
• Ruidas, S., Seikh, M. R., & Nayak, P. K. (2023a). Pricing strategy in an interval-valued production inventory model for high-tech products under demand disruption and price revision. Journal of Industrial and Management Optimization, 19(9), 6451–6477. https://doi.org/10.3934/jimo.2022222
   Web of Science ®Google Scholar
• Ruidas, S., Seikh, M. R., & Nayak, P. K. (2023b). A production inventory model for high-tech products involving two production runs and a product variation. Journal of Industrial & Management Optimization, 19(3), 2178–2205. https://doi.org/10.3934/jimo.2022038
   Web of Science ®Google Scholar
• Ruidas, S., Seikh, M. R., Nayak, P. K., & Tseng, M. L. (2023). An interval-valued green production inventory model under controllable carbon emissions and green subsidy via particle swarm optimization. Soft Computing, 27(14), 9709–9733. https://doi.org/10.1007/s00500-022-07806-1
   Web of Science ®Google Scholar
• Salameh, M., & Jaber, M. (2000). Economic production quantity model for items with imperfect quality. International Journal of Production Economics, 64(1), 59–64. https://doi.org/10.1016/S0925-5273(99)00044-4
   Web of Science ®Google Scholar
• Sarkar, B. (2019). Mathematical and analytical approach for the management of defective items in a multi-stage production system. Journal of Cleaner Production, 218, 896–919. https://doi.org/10.1016/j.jclepro.2019.01.078
   Web of Science ®Google Scholar
• Sarkar, B., & Moon, I. (2011). An epq model with inflation in an imperfect production system. Applied Mathematics and Computation, 217(13), 6159–6167. https://doi.org/10.1016/j.amc.2010.12.098
   Web of Science ®Google Scholar
• Sepehri, A., & Gholamian, M. R. (2022). Joint pricing and lot-sizing for a production model under controllable deterioration and carbon emissions. International Journal of Systems Science: Operations & Logistics, 9(3), 324–338.
   Google Scholar
• Shaikh, A. A., Cárdenas-Barrón, L. E., & Tiwari, S. (2019). A two-warehouse inventory model for non-instantaneous deteriorating items with interval-valued inventory costs and stock-dependent demand under inflationary conditions. Neural Computing and Applications, 31(6), 1931–1948. https://doi.org/10.1007/s00521-017-3168-4
   Web of Science ®Google Scholar
• Tirkolaee, E. B., Mahdavi, I., Esfahani, M. M. S., & Weber, G. W. (2020). A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty. Waste Management, 102, 340–350. https://doi.org/10.1016/j.wasman.2019.10.038
   PubMed Web of Science ®Google Scholar
• Vasanthi, P., Ranganayaki, S., & Kasthuri, R. (2022, September). Fuzzy inventory model without shortages using GMI approach. In In Journal of Physics: Conference Series (Vol. 2332, No. 1, pp. 012002). IOP Publishing..
   Google Scholar
• Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
   Google Scholar