Abstract
This paper studies the inventory system of a retailer who orders his products from two supply sources, a local one that is responsive and reliable, but expensive, and a global one that is low-cost but less reliable. The deliveries from the global source only partially satisfy the quality requirements. We model this situation with a dual-sourcing inventory model with positive lead times and random yield. We propose a dual-index order-up-to policy (DOP) based on approximating the inventory model with an unreliable supplier by a sequence of dual-sourcing models with reliable suppliers and suitably modified demand distributions. Numerical results show that the performance of this heuristic is close to that of the optimal DOP. Moreover, we extend the heuristic to models with advance yield information and study its impact on the total inventory costs.
Original language | English |
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Pages (from-to) | 490-497 |
Number of pages | 8 |
Journal | European journal of operational research |
Volume | 224 |
Issue number | 2 |
Early online date | 31 Jan 2015 |
DOIs | |
Publication status | Published - 16 Jul 2015 |
Keywords
- Supply chain management
- Applied probability
- Inventory
- Dual-index order-up-to policy
- Yield uncertainty
- 2023 OA procedure