隨機(jī)工期下基于可更新資源約束的Max-npv項目魯棒性調(diào)度優(yōu)化
發(fā)布時間：2019-02-27 16:58
【摘要】：從項目雙方的視角出發(fā),研究了不確定環(huán)境中在可更新資源約束下的、活動工期具有隨機(jī)性的Max-npv項目魯棒性調(diào)度問題。為了應(yīng)對隨機(jī)工期對項目凈現(xiàn)值的影響,引入了RFDFF緩沖方法生成魯棒性調(diào)度計劃以保證項目穩(wěn)定執(zhí)行并得到項目雙方凈現(xiàn)值的最大化。首先對研究問題進(jìn)行界定。其次構(gòu)建由兩個子模型組成的項目調(diào)度優(yōu)化模型,隨后鑒于問題的強(qiáng)NP-hard屬性,設(shè)計了禁忌搜索啟發(fā)式算法求解找到承包商和業(yè)主均可接受的滿意解。最后用一個實際案例對研究進(jìn)行了驗證說明,并分析了關(guān)鍵參數(shù)對合同雙方項目收益的影響。結(jié)果表明,通過添加時間緩沖的方式可以提高項目的魯棒性,保證項目的穩(wěn)定執(zhí)行。與此同時不同的業(yè)主支付方式能夠彌補(bǔ)隨機(jī)工期帶來的雙方收益損失,保證雙方收益的最大化;折現(xiàn)率、支付比例和項目截止日期都會對雙方收益產(chǎn)生影響。
[Abstract]:From the perspective of both sides of the project, the robust scheduling problem of Max-npv projects with stochastic activity duration under the constraint of renewable resources in an uncertain environment is studied in this paper. In order to deal with the influence of random duration on project net present value (NPV), RFDFF buffer method is introduced to generate robust scheduling plan to ensure the stable execution of the project and to maximize the NPV of both sides of the project. First of all, the research issues are defined. Secondly, a project scheduling optimization model composed of two sub-models is constructed. Then, in view of the strong NP-hard attribute of the problem, a Tabu search heuristic algorithm is designed to find the satisfactory solution acceptable to both the contractor and the owner. Finally, a practical case is used to verify the study, and the influence of key parameters on the project income of both parties is analyzed. The results show that the robustness of the project can be improved by adding time buffer to ensure the stable execution of the project. At the same time, different owners' payment methods can make up for the loss of both parties' income caused by random construction period, and guarantee the maximization of both parties' income; the discount rate, payment ratio and project deadline will all affect the income of both parties.
【作者單位】： 西安交通大學(xué)管理學(xué)院過程控制與效率工程教育部重點實驗室;
【基金】：國家自然科學(xué)基金資助項目(71371150) 新世紀(jì)優(yōu)秀人才支持計劃資助項目(NCET-13-0460)
【分類號】：TU722
，
本文編號：2431448
[Abstract]:From the perspective of both sides of the project, the robust scheduling problem of Max-npv projects with stochastic activity duration under the constraint of renewable resources in an uncertain environment is studied in this paper. In order to deal with the influence of random duration on project net present value (NPV), RFDFF buffer method is introduced to generate robust scheduling plan to ensure the stable execution of the project and to maximize the NPV of both sides of the project. First of all, the research issues are defined. Secondly, a project scheduling optimization model composed of two sub-models is constructed. Then, in view of the strong NP-hard attribute of the problem, a Tabu search heuristic algorithm is designed to find the satisfactory solution acceptable to both the contractor and the owner. Finally, a practical case is used to verify the study, and the influence of key parameters on the project income of both parties is analyzed. The results show that the robustness of the project can be improved by adding time buffer to ensure the stable execution of the project. At the same time, different owners' payment methods can make up for the loss of both parties' income caused by random construction period, and guarantee the maximization of both parties' income; the discount rate, payment ratio and project deadline will all affect the income of both parties.
【作者單位】： 西安交通大學(xué)管理學(xué)院過程控制與效率工程教育部重點實驗室;
【基金】：國家自然科學(xué)基金資助項目(71371150) 新世紀(jì)優(yōu)秀人才支持計劃資助項目(NCET-13-0460)
【分類號】：TU722
，
本文編號：2431448
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