Abstract
We investigate a two-warehouse inventory model for non-instantaneous deteriorating items with partial backlogging and stock-dependent demand under inflationary conditions. Shortages are allowed. The backlogging rate is variable and depends on the waiting time for the next replenishment. This paper seeks to determine an optimal replenishment policy that minimizes the present value of the total cost per unit time. The necessary and sufficient conditions for the existence and uniqueness of the optimal solution are found. The corresponding problems are formulated and solved with particle swarm optimization. Numerical experimentation and post-optimality analysis are conducted.
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Acknowledgements
The authors are thankful to the valuable, constructive and detailed suggestions provided by three anonymous referees. The first author is grateful to his parents, wife, children Aditi Tiwari and Aditya Tiwari for their valuable support during the development of this paper.
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Tiwari, S., Jaggi, C.K., Bhunia, A.K. et al. Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization. Ann Oper Res 254, 401–423 (2017). https://doi.org/10.1007/s10479-017-2492-5
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DOI: https://doi.org/10.1007/s10479-017-2492-5
Keywords
- Inventory
- Non-instantaneous deterioration
- Partial backlogging
- Stock-dependent demand
- Inflation
- Particle swarm optimization