發(fā)布時(shí)間：2018-03-06 07:08

  本文選題：分包付款　切入點(diǎn)：資金時(shí)間價(jià)值　出處：《南昌航空大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：工程建設(shè)項(xiàng)目的實(shí)施是一個(gè)龐大且復(fù)雜的系統(tǒng)工程,涉及到諸多方面因素的影響,工程項(xiàng)目能夠高效、順利、成功地完成,需要合理地進(jìn)行項(xiàng)目調(diào)度,使得時(shí)間、費(fèi)用、資源之間相互協(xié)調(diào),以實(shí)現(xiàn)施工單位的最大利益,為社會(huì)創(chuàng)造更大的價(jià)值。針對(duì)該問(wèn)題,本文在總結(jié)與分析國(guó)內(nèi)外關(guān)于工程項(xiàng)目管理理論與方法的研究現(xiàn)狀與發(fā)展的基礎(chǔ)上,對(duì)資源受限的“時(shí)間-費(fèi)用”優(yōu)化問(wèn)題進(jìn)行如下研究:以?xún)衄F(xiàn)值為優(yōu)化目標(biāo)的多模式資源約束型折現(xiàn)流時(shí)間-費(fèi)用權(quán)衡項(xiàng)目進(jìn)度(MRCTCTPDF)模型,是在綜合考慮項(xiàng)目執(zhí)行過(guò)程中各項(xiàng)活動(dòng)的現(xiàn)金流,將每項(xiàng)活動(dòng)的資金流入與流出折算到初始時(shí)間下的資金凈利潤(rùn),該模型對(duì)實(shí)際項(xiàng)目的管理具有較好的指導(dǎo)價(jià)值。但在工程實(shí)踐中,總承包方往往將非主體的部分專(zhuān)業(yè)進(jìn)行分包,分包付款模式產(chǎn)生的時(shí)間費(fèi)用尚未得到研究人員的關(guān)注,且原始模型對(duì)總承包活動(dòng)中可變費(fèi)用的支付方式的選擇不夠合理,不符合項(xiàng)目現(xiàn)場(chǎng)的實(shí)際需求,考慮上述因素,本文建立IMRCTCTPDF模型,并利用對(duì)比分析法對(duì)求解的結(jié)果進(jìn)行比較,確定最佳項(xiàng)目?jī)?yōu)化方案。蟻群算法在求解組合優(yōu)化問(wèn)題時(shí),其特有的種群?jiǎn)�發(fā)式仿生進(jìn)化正反饋并行計(jì)算機(jī)制特性,為本文提供求解IMRCTCTPDF模型的思路。基于蟻群算法,結(jié)合帶時(shí)間窗的利潤(rùn)收集旅行商問(wèn)題求解方法,研究了帶時(shí)間窗的利潤(rùn)收集旅行商問(wèn)題與本文IMRCTCTPDF問(wèn)題的異同,據(jù)此討論了基于改進(jìn)后的蟻群算法求解文中模型的理論依據(jù),從而確定本文改進(jìn)后蟻群算法的實(shí)現(xiàn)步驟、狀態(tài)轉(zhuǎn)移概率公式和信息素更新公式,并設(shè)計(jì)蟻群算法程序,為下文實(shí)例模型求解做好準(zhǔn)備。綜合文中所求結(jié)果進(jìn)行比較,分析不同資源約束條件下,引入分包付款時(shí)項(xiàng)目的凈現(xiàn)值與不考慮分包付款時(shí)的項(xiàng)目?jī)衄F(xiàn)值的差異,并得出考慮分包付款時(shí)的項(xiàng)目?jī)衄F(xiàn)值有所提高的結(jié)論,即在實(shí)際項(xiàng)目調(diào)度中對(duì)分包付款資金時(shí)間價(jià)值的考慮是具有參考價(jià)值的,故本文提出的IMRCTCTPDF改進(jìn)模型是具有工程適用性的。綜上所述,本文的優(yōu)化方法為工程實(shí)際中項(xiàng)目管理優(yōu)化提供了一個(gè)范例,研究成果豐富了項(xiàng)目管理理論并對(duì)項(xiàng)目管理實(shí)踐活動(dòng)具有重要應(yīng)用價(jià)值。
[Abstract]:The implementation of engineering construction project is a huge and complex system engineering, which involves the influence of many factors. The project can be completed efficiently, smoothly and successfully, so it is necessary to schedule the project reasonably to make the time and cost. The resources coordinate with each other in order to realize the greatest benefit of the construction unit and create more value for the society. In view of this problem, this paper summarizes and analyzes the present situation and development of the theory and method of engineering project management at home and abroad. This paper studies the "time-cost" optimization problem with limited resources as follows: Multi-mode resource-constrained discounted flow time-cost tradeoff project progress model with net present value as the optimization objective, MRCTCTPDF model. It is the net profit from the capital inflow and outflow of each activity which is converted to the initial time after considering the cash flow of each activity during the implementation of the project. The model has good guiding value for the management of practical projects. However, in engineering practice, the general contractor often subcontracts some of the non-subject specialties, and the time cost of the sub-payment model has not been paid attention by the researchers. And the original model is not reasonable to choose the payment method of variable cost in general contracting activities, which does not accord with the actual demand of the project site. Considering the above factors, this paper establishes IMRCTCTPDF model, and compares the results of the solution with comparative analysis method. When ant colony algorithm is used to solve combinatorial optimization problem, it has the characteristic of parallel computing mechanism of population heuristic bionic evolution positive feedback, which provides the train of thought for solving IMRCTCTPDF model in this paper. Combined with the method of solving the profit collection traveling salesman problem with time window, the similarities and differences between the profit collection traveling salesman problem with time window and the IMRCTCTPDF problem in this paper are studied, and the theoretical basis of solving the model based on the improved ant colony algorithm is discussed. The implementation steps, state transition probability formula and pheromone update formula of the improved ant colony algorithm are determined, and the program of ant colony algorithm is designed to prepare for the solution of the following example model. This paper analyzes the difference between the NPV of the project when the subpayment is introduced and the NPV of the project when the subpayment is not considered under different resource constraints, and draws the conclusion that the NPV of the project when the subpayment is taken into account is improved. That is, the consideration of the time value of subcontract payment funds in the actual project scheduling is of reference value, so the improved IMRCTCTPDF model proposed in this paper has engineering applicability. The optimization method in this paper provides an example for project management optimization in engineering practice. The research results enrich the project management theory and have important application value to project management practice.
【學(xué)位授予單位】：南昌航空大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TU723

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