不确定彩排时长下节目调度的鲁棒优化

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  • 上海大学管理学院, 上海 200444

收稿日期: 2018-05-18

  网络出版日期: 2020-09-05

基金资助

国家自然科学基金(Nos.11301327,11571221,11871327)

Robust optimization of rehearsal scheduling under uncertain duration

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  • School of Management, Shanghai University, Shanghai 200444, China

Received date: 2018-05-18

  Online published: 2020-09-05

摘要

实际节目彩排调度中,节目的表演时长受内外因素影响,具有不确定性。为了合理调度所有节目,控制演员的空闲时间,使得演员的总等待成本最小,采用了鲁棒优化方法进行研究。首先,建立了节目彩排调度的确定型模型;进一步,考虑节目表演时长的不确定性,采用有界区间描述节目表演时长并考虑决策者风险偏好,在确定型模型的基础上构建区间型两阶段鲁棒优化模型;接着,将鲁棒优化模型转化为0-1混合线性规划模型;最后,采用Matlab进行数值实验,结果表明决策者越偏好规避风险,演员的总等待成本越大。

本文引用格式

仲维亚, 施益媚 . 不确定彩排时长下节目调度的鲁棒优化[J]. 运筹学学报, 2020 , 24(3) : 77 -86 . DOI: 10.15960/j.cnki.issn.1007-6093.2020.03.006

Abstract

In a dress rehearsal, the duration of a program which is affected by internal and external factors, is uncertain. A robust optimization method is adopted to schedule the programs to minimize the total waiting cost of actors. A deterministic dress rehearsal model is first proposed. Then, based on the above deterministic model, a two-stage robust optimization model is built, considering the uncertainty of the programs. durations and the risk preference of decision makers. Thirdly, the robust optimization model is converted into a 0-1 mixed linear programming. At last, numerical experiments are carried out by Matlab, and the results show that the actors' waiting cost increases with the decreasement of decision makers' risk preference.

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