鲁棒汽车排序问题:描述、模型和度量

Joaquín Bautista-Valhondo
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引用次数: 1

摘要

从车辆排序问题(CSP)中引入部分需求不确定性的概念,将特种车队纳入需求计划。在建立了车队的工作假设后,提出了一个混合整数线性规划模型——鲁棒汽车排序问题(r-CSP),以满足最大数量的CSP约束。然后定义了多序列产生和鲁棒性评价指标。r-CSP考虑各种需求场景和功能来衡量生产程序中可选需求的过剩。这些函数是有效的目标优化问题和多序列生产鲁棒性指标。关键词:装配线,排序,汽车排序问题,车队,鲁棒优化,生产组合,需求不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Car Sequencing Problem: Description, models and metrics
The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and functions to measure the excess of optional requirements in production programs. These functions are valid as objectives in optimization problems and as multi-sequence pro-duction robustness metrics. Keywords : Assembly lines, Sequencing, Car Sequencing Problem, Vehicle Fleets, Robust Optimization, Production Mix, Demand uncertainty.
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