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2464. Multi-Echelon Inventory Optimization: A Case Study considering real-life constraints and uncertainties
Invited abstract in session MC-50: Retail Inventory Management II, stream Retail Operations.
Monday, 12:30-14:00Room: M2 (building: 101)
Authors (first author is the speaker)
| 1. | Philip Mårtensson
|
| Service Market Logistics, Volvo Group | |
| 2. | Joakim Andersson
|
| SML, Volvo Group | |
| 3. | Johan Lidvall
|
| SML, Volvo Group | |
| 4. | Johan Marklund
|
| Industrial Management and Logistics, Lund University |
Abstract
This paper presents an investigation into multi-echelon inventory optimization, emphasizing the integration of real-life constraints and uncertainties. By considering a case study for spare parts in the automotive industry, derived from practical inventory management scenarios, we address the complexities inherent in supply chain dynamics.
Through our analysis, we demonstrate the efficacy of our proposed approach in enhancing inventory control across multiple echelons while underscoring the importance of considering real-world factors such as lead times, demand variability, and capacity constraints.
Another aspect that is considered, in a distribution system with mixed ownership of the retailers, is the implementation feasibility of transitioning from a traditional single-echelon inventory control system, requiring extensive stakeholder management and buy-in.
The findings bridge the gap between practitioners and researchers in this area, offering valuable insights into future research of applying multi-echelon theory and techniques in dynamic supply chain environments.
Keywords
- Inventory
- Service Operations
- Supply Chain Management
Status: accepted
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