系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2015年
4期
945~954
,共null页
应急救援 前摄性调度 反应性调度 集成优化 禁忌搜索
應急救援 前攝性調度 反應性調度 集成優化 禁忌搜索
응급구원 전섭성조도 반응성조도 집성우화 금기수색
emergency rescue; proactive scheduling; reactive scheduling; integrated optimization; tabu search
突发事件应急救援具有高度的不确定性与动态性,稳定可靠的救援计划及其合理有效的动态调整,对于应急救援的顺利实施具有重要影响.本文以企业生产事故与突发事件为主要对象,研究应急救援的前摄性调度与反应性调度的集成优化问题.作者首先对问题进行界定,构建前摄性调度优化模型以求得一个鲁棒性最大的基准计划,然后以此为基础建立调整损失最小的反应性调度优化模型.针对问题的NP-hard属性,设计专门的禁忌搜索启发式算法.最后,通过对一个实际井喷事故救援过程的求解分析对研究进行说明,得到如下结论:前摄性调度的鲁棒性与反应性调度的损失值之间,并不存在一个绝对的单调关系,通过反复多次的求解运算,可以找到二者之间平衡点,实现两种调度方式的集成优化.本研究可为突发事件应急救援基准计划的制定与动态调整提供定量化决策支持.
突髮事件應急救援具有高度的不確定性與動態性,穩定可靠的救援計劃及其閤理有效的動態調整,對于應急救援的順利實施具有重要影響.本文以企業生產事故與突髮事件為主要對象,研究應急救援的前攝性調度與反應性調度的集成優化問題.作者首先對問題進行界定,構建前攝性調度優化模型以求得一箇魯棒性最大的基準計劃,然後以此為基礎建立調整損失最小的反應性調度優化模型.針對問題的NP-hard屬性,設計專門的禁忌搜索啟髮式算法.最後,通過對一箇實際井噴事故救援過程的求解分析對研究進行說明,得到如下結論:前攝性調度的魯棒性與反應性調度的損失值之間,併不存在一箇絕對的單調關繫,通過反複多次的求解運算,可以找到二者之間平衡點,實現兩種調度方式的集成優化.本研究可為突髮事件應急救援基準計劃的製定與動態調整提供定量化決策支持.
돌발사건응급구원구유고도적불학정성여동태성,은정가고적구원계화급기합리유효적동태조정,대우응급구원적순리실시구유중요영향.본문이기업생산사고여돌발사건위주요대상,연구응급구원적전섭성조도여반응성조도적집성우화문제.작자수선대문제진행계정,구건전섭성조도우화모형이구득일개로봉성최대적기준계화,연후이차위기출건립조정손실최소적반응성조도우화모형.침대문제적NP-hard속성,설계전문적금기수색계발식산법.최후,통과대일개실제정분사고구원과정적구해분석대연구진행설명,득도여하결론:전섭성조도적로봉성여반응성조도적손실치지간,병불존재일개절대적단조관계,통과반복다차적구해운산,가이조도이자지간평형점,실현량충조도방식적집성우화.본연구가위돌발사건응급구원기준계화적제정여동태조정제공정양화결책지지.
Emergency rescue owns characteristics of high uncertainty and dynamic. A rehaDle rescue schedule and its reasonable adjustment during the execution are very important for the smooth implementation of the emergency rescue. Taking the production incidents in enterprises as background, this paper involves the integrated optimization of proactive scheduling and reactive scheduling for emergency rescue. The authors identify the research problem firstly and then construct the optimization model for proactive scheduling to generate a baseline schedule with the maximal robustness. Based on this work, the reactive scheduling optimization model with the objective of minimizing the adjustment loss is established as well. Aiming at the NP-hardness of the problem, a special tabu search heuristic algorithm is developed. Ultimately, through solving and analyzing a practical case of blowout accident, the research is illustrated and the following conclusion is drawn: There is not an absolute monotonous relat, ionship between the robustness of proactive scheduling and the adjustment toss of reactive scheduling. The balance points of the two scheduling methods can be found and thus their integrated optimization can be realized by the repetitious solution operations. The research can provide quantitative decision supports for the preparation and dynmnic adjustments for emergency rescue schedule.