Optimization of Single-Seller Multi-item in Multiple Outlets Distribution Network Fuzzy Inventory System with Lead Time and Carbon Emission Cost
Published 2026-02-14
Keywords
- Fuzzy multi-object in multi-outlet inventory system;,
- Alpha cut technique;,
- Minimum integrated total cost;,
- Optimal order quantity;,
- Lagrangian process.
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Abstract
Managing multiple products across various locations reduces total costs through consolidated replenishment. This strategy reduces ordering costs because fewer transactions result in better pricing. It also reduces shipping costs by using combined shipments to minimize transportation expenses. The objective is currently inaccurate due to several variables that are not well-defined. Hexagonal fuzzy numbers are utilized in this model to account for the uncertain nature of buyer and supplier parameters. Optimizing the fuzzy objective function is challenging because its output value remains uncertain. The model is solved using the alpha cut technique combined with the Lagrangian method, while the fuzzy counterparts of the remaining constraints are available. An algorithm is developed to determine the optimum order size for each item at every outlet. This approach simultaneously minimizes the joined entire price for the entire inventory system. Evaluation of fuzzy multi-item in multi-outlet distribution network inventory system against crisp multi-item in multi-outlet distribution network inventory system is concluded with numerical illustrations. Finally, graphical representations of the proposed system's performance are provided. This fuzzy inventory framework is effective in optimizing results for multi-item across various outlets.
References
- A. Chakraborty, S. Maity, S. Jain, S. P. Mondal, and S. Alam, "Hexagonal fuzzy number and its distinctive representation, ranking, defuzzification technique and application in production inventory management problem," Granular Computing, vol. 5, no. 3, 2020. doi: 10.1007/s41066-020-00212-8.
- S. H. Chen, "Operations on fuzzy numbers with function principle," Tamkang Journal of Management Sciences, vol. 6, no. 1, pp. 13–26, 1985.
- S. H. Chen, S. T. Wang, and S. M. Chang, "Optimization of fuzzy production inventory model with repairable defective products under crisp or fuzzy production size," International Journal of Operations Research, vol. 2, no. 2, pp. 31-37, 2005.
- Z. Hen and B. R. Sarker, "Integrated production-inventory and pricing decisions for a single-manufacturer multi-retailer system of deteriorating items under JIT delivery policy," International Journal of Advanced Manufacturing Technology, vol. 89, no. 5–8, pp. 2099–2117, 2017. doi: 10.1007/s00170-016-9169-0.
- S. Kumar and R. P. Mahapatra, "Design of multi-warehouse inventory model for an optimum replenishment policy using a rain optimization algorithm," Knowledge-Based Systems, vol. 231, p. 107406, 2021. doi: 10.1016/j.knosys.2021.107406.
- M. Lashgari, S. J. Sadjadi, and M. Sahihi, "A multi-product, multi-period model to select supplier for deteriorating products while considering uncertainty as well as backorder," Journal of Industrial Engineering International, vol. 15, pp. 93–101, 2019. doi: 10.1007/s40092-018-0266-6.
- K. Maiti, "Multi-item fuzzy inventory model for deteriorating items in multi-outlet under single management," Journal of Management Analytics, vol. 7, no. 1, pp. 44–68, 2020. doi: 10.1080/23270012.2019.1699873.
- I. Malik and B. Sarkar, "Optimizing a multi-product continuous-review inventory model with uncertain demand, quality improvement, setup cost reduction and variation control in lead time," IEEE Access, vol. 6, pp. 36176–36187, 2018. doi: 10.1109/ACCESS.2018.2849694.
- B. Malleeswaran and R. Uthayakumar, "An integrated vendor–buyer supply chain model for backorder price discount and price-dependent demand using service level constraints and carbon emission cost," International Journal of Systems Science: Operations & Logistics, 2020. doi: 10.1080/23302674.2020.1833258.
- N. K. Mishra and S. Sharma, "Effect of variable inflation on supply chain management in FMCG sector with single supplier-multiple retailers and trade credit," Mathematical Modelling of Engineering Problems, vol. 10, no. 2, pp. 627-638, 2023. doi: 10.18280/mmep.100234.
- S. M. Mousavi, S. T. A. Niaki, A. Bahreininejad, and S. N. Musa, "Multi-item multi-periodic inventory control problem with variable demand and discounts: a particle swarm optimization algorithm," The Scientific World Journal, vol. 2014, p. 136047, 2014. doi: 10.1155/2014/136047.
- H. J. Pan and J. S. Yang, "A study of an integrated inventory with controllable lead time," International Journal of Production Research, vol. 40, no. 5, pp. 1263-1273, 2002. doi: 10.1080/00207540110105680.
- L. A. San-José, M. González-De-la-Rosa, J. Sicilia, and J. Febles-Acosta, "An inventory model for multiple items assuming time-varying demands and limited storage," Optimization Letters, vol. 16, pp. 1935–1961, 2022. doi: 10.1007/s11590-021-01815-z.
- R. Setiawan, Salmah, Widodo, I. Endrayanto, and Indarsih, "Analysis of the single-vendor-multi-buyer inventory model for imperfect quality with controllable lead time," International Journal of Applied Mathematics, vol. 51, no. 3, 2021.
- R. Shin, B. Guchhait, B. Sarkar, and M. Mittal, "Controllable lead time, service level constraint, and transportation discounts in a continuous review inventory model," RAIRO-Operations Research, vol. 50, no. 4-5, pp. 921-934, 2016. doi: 10.1051/ro/2015055.
- G. Tagaras, "Pooling in multi-location periodic inventory distribution systems," Omega: The International Journal of Management Science, vol. 27, no. 1, pp. 39-59, 1999.
- H. A. Taha, Operations Research. New Jersey, USA: Prentice Hall, 1997.
- A. Taleizadeh, S. T. A. Niaki, and F. Barzinpour, "Multiple-buyer multiple-vendor multi-product multi-constraint supply chain problem with stochastic demand and variable lead-time: a harmony search algorithm," Applied Mathematics and Computation, vol. 217, no. 22, pp. 9234–9253, 2011. doi: 10.1016/j.amc.2010.12.043.
- S. Tiwari, Daryanto, and Y. H. M. Wee, "Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission," Journal of Cleaner Production, vol. 192, pp. 281–292, 2018. doi: 10.1016/j.jclepro.2018.04.261.
- R. Uthayakumar and M. Ganesh Kumar, "Single-vendor multi-buyer integrated inventory system for multi-item," International Journal of Mathematics in Operational Research, vol. 14, no. 3, pp. 359–376, 2019. doi: 10.1504/IJMOR.2019.099385.
- R. Vithyadevi and K. Annadurai, "Optimization of fuzzy integrated inventory model with ordering cost reduction dependent on lead time," International Journal of Operations Research, vol. 18, no. 4, pp. 79-96, 2021. doi: 10.6886/IJOR.202112_18(4).0001.
- R. Vithyadevi and K. Annadurai, "Optimization of fuzzy two-level production inventory system with persuasive exertion reliant demand," Ratio Mathematica, vol. 48, 2023. doi: 10.23755/rm.v48i0.1152.
- Y. Xu, J. Zhang, Z. Chen, and Y. Wei, "Single-manufacturer multi-retailer supply chain models with discrete stochastic demand," Sustainability, vol. 13, p. 8271, 2021. doi: 10.3390/su13158271.
- Yadav, R. Kumari, and N. Kumar, "Sustainable supply chain model for multi-stage manufacturing with partial backlogging under the fuzzy environment with the effect of learning in screening process," International Journal of Applied and Computational Mathematics, vol. 7, no. 40, 2021. doi: 10.1007/s40819-021-00951-5.
- H. J. Zimmerman, "Using fuzzy sets in operational research," European Journal of Operational Research, vol. 13, no. 3, pp. 201-216, 1983. doi: 10.1016/0377-2217(83)90048-6.