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3859. Four-echelon facility location supply chain design
Invited abstract in session MB-25: Discrete, continuous or stochastic optimization and control in networks, transportation and design II, stream Combinatorial Optimization.
Monday, 10:30-12:00Room: 011 (building: 208)
Authors (first author is the speaker)
| 1. | Bahram Alidaee
|
| Marketing, University of Mississippi | |
| 2. | Haibo Wang
|
| Texas A&M International University |
Abstract
At k-level uncapacitated facility location, ensuring each client is served by a sequence of k facilities is common in complex logistical systems, where central depots distribute goods through smaller depots. Due to its complexity, especially when k > 1, approximation algorithms are crucial for swiftly obtaining high-quality solutions. This study focuses on a four-echelon supply chain design facility location problem, involving plants (P), ware-houses (W), distribution centers (D), and retail stores (S). The objective is to select locations of plants, retail stores, warehouses and distribution centers to maximize the total profit of serving selected retail stores. We formulate the problem using a bipartite Boolean quadratic programming (BBQP) model. Its solution is obtained through a heuristic approach that employs Tabu search with an r-Opt sequence embedded diversification.
Keywords
- Algorithms
- Combinatorial Optimization
- Facilities Planning and Design
Status: accepted
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