【摘要】：從合同雙方的聯(lián)合視角出發(fā),研究項(xiàng)目支付進(jìn)度問題。其中,支付與項(xiàng)目事件相聯(lián)系,任務(wù)是合理地安排支付事件、活動執(zhí)行模式及事件發(fā)生時間,以使合同雙方的共同收益最大化并使二者都能接受相應(yīng)的安排。在對問題進(jìn)行界定的基礎(chǔ)上,構(gòu)建由兩個子模型構(gòu)成的優(yōu)化模型。針對問題的強(qiáng)NP-hard屬性,設(shè)計(jì)包含兩個子模塊的模擬退火啟發(fā)式算法,并在隨機(jī)生成的標(biāo)準(zhǔn)算例集合上對算法進(jìn)行測試,結(jié)果表明,該算法是求解問題的有效算法。最后,用一個算例對研究進(jìn)行說明,得到如下結(jié)論:如果合同雙方均按自身偏好進(jìn)行決策,那么將會導(dǎo)致一種雙輸?shù)慕Y(jié)果;如果他們能夠相互合作和協(xié)調(diào),那么都可從項(xiàng)目中獲得更高的收益。本文的研究可以為合同雙方關(guān)于項(xiàng)目支付進(jìn)度安排的談判提供決策支持。
[Abstract]:From the joint perspective of the parties to the contract, the project payment schedule is studied. The task of payment is to arrange payment event, activity execution mode and event time reasonably, so as to maximize the mutual benefit of both parties and make both parties accept the corresponding arrangement. On the basis of defining the problem, an optimization model consisting of two submodels is constructed. In view of the strong NP-hard property of the problem, a simulated annealing heuristic algorithm with two sub-modules is designed, and the algorithm is tested on the set of randomly generated standard examples. The results show that the algorithm is an effective algorithm for solving the problem. Finally, a numerical example is used to illustrate the study and the following conclusion is drawn: if both parties to the contract make decisions according to their own preferences, it will lead to a double-lose result; if they can cooperate and coordinate with each other, Then you can get a higher return from the project. The research in this paper can provide decision support for the negotiation of project payment schedule.
【作者單位】： 西安交通大學(xué)管理學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(70971105) 陜西省自然科學(xué)基金資助項(xiàng)目(2009JM9001) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)
【分類號】：C935

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 汪嘉e，

本文編號：2131959