本文選題：項目調(diào)度 + 生產(chǎn)轉(zhuǎn)移　； 參考：《上海交通大學(xué)》2011年碩士論文

【摘要】：隨著經(jīng)濟全球化的日益加劇與中國市場的高速發(fā)展,越來越多的跨國公司在中國增加投資,并對華進行生產(chǎn)與技術(shù)轉(zhuǎn)移。這些轉(zhuǎn)移通常以原有的生產(chǎn)情況為基礎(chǔ),以項目的形式進行管理。此類項目涉及到企業(yè)生產(chǎn)中的諸多環(huán)節(jié),其內(nèi)容紛繁復(fù)雜,同時還涉及到國際間的團隊合作,存在時差、距離問題與文化上的差異,因此都對項目管理提出了更高的要求。如何針對跨國公司生產(chǎn)轉(zhuǎn)移類項目的特點與存在的問題制定合理的項目計劃是保證項目順利實施的關(guān)鍵,針對該問題本文就項目的計劃編制與調(diào)度優(yōu)化工作進行了研究。 針對跨國公司生產(chǎn)轉(zhuǎn)移類項目的特點,設(shè)計了模塊化與工作分解結(jié)構(gòu)相結(jié)合的計劃編制方法,總結(jié)了編制計劃的具體步驟。首先,運用模塊化方法,將整個生產(chǎn)流程按照產(chǎn)品的生命周期分解為幾大模塊,明確了項目工作范圍;其次,基于可交付成果的劃分,運用工作分解結(jié)構(gòu)方法將各模塊的工作劃分為較小的、便于管理的組成部分,并制定了詳細的項目活動清單,對項目計劃中的資源因素、時間因素與邏輯因素進行了分析與評估;最后,編制了網(wǎng)絡(luò)圖實現(xiàn)項目活動關(guān)系的可視化。 通過研究常用的項目調(diào)度理論方法,結(jié)合項目執(zhí)行時的需求,選擇了合理的項目調(diào)度方法并做了有效的改進。本文具體研究了以工期最短為目標、具有不確定活動時間且資源有限的項目調(diào)度問題(FuzzyResource-Constrained Project Scheduling Problem,簡稱FRCPSP),采用六點模糊數(shù)表示不確定活動時間,將模糊理論嵌套到改進的遺傳算法中來優(yōu)化項目調(diào)度的過程。 本文以作者在法留學(xué)期間于某跨國公司實習(xí)中參與的對華生產(chǎn)轉(zhuǎn)移項目為實例,制訂了詳細的項目計劃,使用嵌套了模糊理論的遺傳算法對此項目調(diào)度進行了優(yōu)化,并根據(jù)這類項目的特點,對遺傳算法的編碼、解碼、初始種群產(chǎn)生、選擇、交叉、變異等操作進行了改進設(shè)計。通過Matlab仿真,驗證了此調(diào)度方法在求解FRCPSP問題時的有效性。優(yōu)化后得到的調(diào)度計劃與原計劃相比大大縮短了工期,且明確了各個活動的開始與結(jié)束時間及資源的分配使用情況。本文所提出的計劃編制與調(diào)度優(yōu)化方法具有工程實用性,可推廣應(yīng)用于生產(chǎn)轉(zhuǎn)移類項目的管理之中。
[Abstract]:With the increasing economic globalization and the rapid development of the Chinese market, more and more multinational companies increase their investment in China, and carry out production and technology transfer to China. These transfers are usually based on the original production situation and managed in the form of a project. This kind of project involves many links in the enterprise production, its content is complicated, also involves the international team cooperation, exists the time difference, the distance question and the cultural difference, therefore all put forward the higher request to the project management. How to make a reasonable project plan according to the characteristics and existing problems of multinational production transfer projects is the key to ensure the smooth implementation of the project. In view of this problem, this paper studies the project planning and scheduling optimization work. According to the characteristics of production transfer projects in multinational companies, a planning method combining modularization and work breakdown structure is designed, and the concrete steps of compiling the plan are summarized. Firstly, the whole production process is decomposed into several modules according to the life cycle of the product by using modularization method, and the scope of work of the project is defined; secondly, based on the division of deliverables, The work of each module is divided into smaller, manageable components using the work breakdown structure method, and a detailed list of project activities is drawn up, and the resource factors in the project plan are analyzed. The time factor and logic factor are analyzed and evaluated. Finally, the network diagram is compiled to realize the visualization of the project activity relationship. Based on the research of common project scheduling theory and the requirements of project execution, a reasonable project scheduling method is selected and improved effectively. In this paper, the fuzzy Resource-Constrained Project Scheduling Problem, (FRCPSPN), which aims at the shortest project duration, with uncertain activity time and limited resources, is studied, and the uncertain activity time is expressed by a six-point fuzzy number. The fuzzy theory is nested into the improved genetic algorithm to optimize the project scheduling process. In this paper, taking the project of production transfer to China which the author participated in the practice of a multinational company while studying in France as an example, the detailed project plan is worked out, and the scheduling of the project is optimized by using the genetic algorithm nested in fuzzy theory. According to the characteristics of this kind of items, the coding, decoding, initial population generation, selection, crossover, mutation and other operations of genetic algorithm are improved. The effectiveness of this scheduling method in solving FRCPSP problem is verified by Matlab simulation. Compared with the original plan, the optimized scheduling plan greatly shortens the duration, and clarifies the beginning and end time of each activity and the allocation and use of resources. The planning and scheduling optimization method proposed in this paper has engineering practicability and can be applied to the management of production transfer projects.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TH186;F276.7;F273

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本文編號：1874161