Multi-index base-stock policy for inventory systems with multiple capacitated suppliers

OR Spectrum ◽  
2021 ◽  
Author(s):  
Chaolin Yang ◽  
Diyuan Huang ◽  
Chenyang Xu
2009 ◽  
Vol 34 (2) ◽  
pp. 397-416 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Ganesh Janakiraman ◽  
John A. Muckstadt ◽  
Paat Rusmevichientong

2021 ◽  
Author(s):  
Alain Bensoussan ◽  
Suresh Sethi ◽  
Abdoulaye Thiam ◽  
Janos Turi

2013 ◽  
Vol 37 (6) ◽  
pp. 4464-4473 ◽  
Author(s):  
N. Anbazhagan ◽  
Jinting Wang ◽  
D. Gomathi

OPSEARCH ◽  
2002 ◽  
Vol 39 (3-4) ◽  
pp. 230-242
Author(s):  
Subrata Mitra ◽  
Ashis K. Chatterjee

2020 ◽  
Author(s):  
Linwei Xin

Single-sourcing lost-sales inventory systems with lead times are notoriously difficult to optimize. In this paper, we propose a new family of capped base-stock policies and provide a new perspective on constructing a practical hybrid policy combining two well-known heuristics: base-stock and constant-order policies. Each capped base-stock policy is associated with two parameters: a base-stock level and an order cap. We prove that for any fixed order cap, the capped base-stock policy converges exponentially fast in the base-stock level to a constant-order policy, providing a theoretical foundation for a phenomenon by which a capped dual-index policy converges numerically to a tailored base-surge policy recently observed in other work in a different but related dual-sourcing inventory model. As a consequence, there exists a sequence of capped base-stock policies that are asymptotically optimal as the lead time grows. We also numerically demonstrate its superior performance in general (including small lead times) by comparing it with otherwell-known heuristics.


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