Abstract
This paper develops a continuous-review vendor-buyer supply chain (SC) model wherein the lead-time (taken as replenished) is considered as a factor affected upon by the time stamp required for setup and production followed by transportation. Here, the production time indicates the interaction between the lot-size and lead-time. Assuming the existence of an opportunity with the buyer of reducing the replenishment lead-time. The buyer receives normally distributed stochastic lead-time demands from its customers. Due to the stochastic nature of lead-time demand, shortages may arise at the buyer’s side which is fully backlogged. We presume imperfection production at the vendor’s end, which leads to the generation of a certain ratio/percentage of defective products, which results in additional warranty costs for the vendor. This study intends to uncover the best policy that minimizes the system’s total expected cost. A solution algorithm with some lemmas is provided which helped in finding the optimal solution and to prove the uniqueness of the solutions. Findings demonstrate that a reduction in lead-time can effectively lower safety stock as well as the total cost.
| Original language | English |
|---|---|
| Pages (from-to) | 2027-2055 |
| Journal | Annals of Operations Research |
| Volume | 315 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Aug 2022 |
Bibliographical note
Funding Information:We thank the editor-in-chief and anonymous reviewers for their constructive comments. The work of first author is supported by JU-RUSA 2.0 Doctoral Scholarship, Jadavpur University, Kolkata, India under Ref. No. R-11/197/2019. The second author author would like to express his gratitude to NRF Singapore (Grant NRF-RSS2016-004) for financial assistance to carry out this research work.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- Demand uncertainty
- Investment
- Lead-time reduction
- Safety stock
- Two-echelon supply chain
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