运筹学学报 ›› 2020, Vol. 24 ›› Issue (3): 77-86.doi: 10.15960/j.cnki.issn.1007-6093.2020.03.006

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不确定彩排时长下节目调度的鲁棒优化

仲维亚*, 施益媚   

  1. 上海大学管理学院, 上海 200444
  • 收稿日期:2018-05-18 发布日期:2020-09-05
  • 通讯作者: 仲维亚 E-mail:wyzhong@i.shu.edu.cn
  • 基金资助:
    国家自然科学基金(Nos.11301327,11571221,11871327)

Robust optimization of rehearsal scheduling under uncertain duration

ZHONG Weiya*, SHI Yimei   

  1. School of Management, Shanghai University, Shanghai 200444, China
  • Received:2018-05-18 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。

关键词: 节目彩排调度, 不确定表演时长, 鲁棒优化, 对偶规划

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.

Key words: rehearsal scheduling, uncertain rehearsal duration, robust optimization, duality programming

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