根据财务预算和资源考虑的航空公司容量分配
1School of Economics and Management, Tongji University, Shanghai, China.
概括
本研究提出了一种用于航空公司容量分配的新算法,优化了财务预算和机队分配. 综合方法提高了航空公司运营的效率和稳定性.
科学领域:
- 运营研究 运营研究
- 航空管理 航空管理
- 优化优化 优化优化
背景情况:
- 航空公司容量分配是一个复杂的优化问题.
- 它涉及长期规划和短期的运营决策.
- 财政预算和资源限制增加了重大挑战.
研究的目的:
- 调查航空公司容量分配问题,考虑到财务和资源限制.
- 开发一个有效的算法来解决这个大规模的优化问题.
- 改进财务预算安排,舰队引入和舰队分配方面的决策.
主要方法:
- 整数编程模型的制定.
- 开发一个集成算法,结合修改的可变邻近搜索 (VNS) 和分支和绑定 (B&B).
- 对于初始车队引入解决方案和最佳车队分配的B&B,利用一个贪的启发式.
主要成果:
- 混合算法在目标值,合速度和稳定性方面表现出强大的性能.
- 预算上限检查成功地融入了财政预算安排.
- 对比分析显示,与基本VNS,差异进化和遗传算法相比,结果优越.
结论:
- 开发的混合算法是航空公司容量分配的有效方法.
- 该方法为优化预算和资源限制下的航空公司运营提供了强大的解决方案.
- 这些发现有助于制定更有效,更稳定的航空公司管理策略.
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