本文選題：供應鏈配置 + 離散型制造業(yè)��； 參考：《廣東工業(yè)大學》2014年碩士論文

【摘要】：供應鏈配置是從系統(tǒng)全局優(yōu)化角度出發(fā),對供應鏈各節(jié)點備選的采購、生產(chǎn)、配送等策略進行擇優(yōu)并對其多級庫存控制策略參數(shù)進行優(yōu)化設(shè)定,以保證供應鏈能夠根據(jù)市場環(huán)境動態(tài)調(diào)整戰(zhàn)略、規(guī)劃、運營策略,最終實現(xiàn)供應鏈整體協(xié)調(diào)優(yōu)化。隨著市場需求的不確定性加劇及中小微型企業(yè)群體的不斷擴大,導致傳統(tǒng)離散型制造業(yè)供應鏈呈現(xiàn)出高的復雜性和動態(tài)性,同時,企業(yè)供貨能力越來越受制于中小微型企業(yè)產(chǎn)能約束。在研究供應鏈優(yōu)化配置問題中,考慮需求不確定及有產(chǎn)能約束的庫存控制優(yōu)化和備選策略選擇決策顯得尤為重要。本文將從最常見的多級庫存系統(tǒng)建模手段(保證服務模型)出發(fā),面向離散型制造業(yè),研究考慮需求不確定和有產(chǎn)能約束的供應鏈優(yōu)化配置方法。 首先,本文結(jié)合離散型制造業(yè)供應鏈管理中存在的問題,從供應鏈配置、保證服務模型的國內(nèi)外研究現(xiàn)狀出發(fā),對課題研究的實踐價值和理論價值進行說明。與供應鏈戰(zhàn)略管理相整合,提出了一個供應鏈配置應用方案,為實現(xiàn)供應鏈戰(zhàn)略、規(guī)劃、運營階段進行動態(tài)配置與調(diào)整提供可能。 其次,建立了一個產(chǎn)能約束及需求不確定條件下的供應鏈優(yōu)化問題模型。以產(chǎn)能約束下的保證服務模型為基礎(chǔ),分別對供應鏈中常見的零部件采購、裝配、配送環(huán)節(jié)建立配置模型。 最后,提出了一種高求解精度的改進遺傳算法。通過重新設(shè)計種群初始化規(guī)則和遺傳算子,為大規(guī)模、復雜供應鏈網(wǎng)絡下的供應鏈配置問題提供可行算法。與精確算法對比,得出該算法的求解精度。通過需求端的不確性和供應端的產(chǎn)能進行敏感性分析,研究得出供應鏈配置中的供應商、生產(chǎn)和采購策略選擇及服務時間設(shè)定方面的管理學啟示。 通過本文的研究,我們建立的考慮市場需求不確定性和有產(chǎn)能約束條件下的供應鏈配置問題模型和提出的改進遺傳算法在理論上彌補了現(xiàn)有供應鏈配置研究的不足。同時,本文實驗仿真的結(jié)果也為供應鏈配置中的備選策略擇優(yōu)和保證服務時間的設(shè)定提供可行性建議。
[Abstract]:The supply chain configuration is from the point of view of global optimization system, each node of alternative supply chain procurement, production, distribution and other strategies are preferred and the multi-level inventory control strategy to optimize the parameters set, to ensure the supply chain according to the market environment dynamic adjustment strategy, planning, operation strategy, and ultimately achieve overall optimization of the supply chain with the uncertainty of market demand and the increasing of medium and small micro enterprise group continues to expand, leading to the traditional discrete manufacturing supply chain exhibits high complexity and dynamic, at the same time, the enterprise supply capacity is more and more subject to the small micro enterprise capacity constraints. In optimization of supply chain research, considering the uncertain demand and there are capacity constraints of inventory control and optimization strategies selection decision is particularly important. This paper from the modeling method of multi echelon inventory system (the most common guaranteed service The model) is based on the discrete manufacturing industry, and studies the optimal allocation method of Supply Chain Considering the uncertainty of demand and the capacity constraints.
First of all, based on the existing discrete supply chain management in manufacturing industry, from the supply chain configuration, service model of the presentresearch guarantee, practical value and theoretical value of the research are described. With the integration of supply chain strategic management, puts forward an application scheme for supply chain configuration, supply chain strategy, planning, operation stage of dynamic configuration and adjustment may be provided.
Secondly, a supply chain optimization problem model with capacity constraints and demand uncertainty is established. Based on the guaranteed service model under capacity constraints, the configuration models of procurement, assembly and distribution of common parts in the supply chain are established respectively.
Finally, a modified genetic algorithm is proposed to solve the high accuracy. By redesigning the population initialization rules and genetic operators, provide feasible algorithm for large scale, supply chain configuration of complex supply chain network problems. Compared with the exact algorithm, the accuracy of the algorithm. Through the uncertainty of demand side and supply side the capacity to analyze the sensitivity of the suppliers in the supply chain configuration, production and procurement strategy and Business Hours setting management enlightenment.
Through this study, we set up to consider the market demand uncertainty and improved genetic algorithm model of supply chain configuration capacity constraints and problems proposed in theory makes up the shortage of current research of supply chain configuration. At the same time, the experimental simulation results for the supply chain strategies in the allocation and provide preferential suggestions Business Hours setting.

【學位授予單位】：廣東工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F274;TP18

【參考文獻】

相關(guān)期刊論文 前8條

1 馬金寶;;汽車裝配企業(yè)物流存在問題及建議[J];中共濟南市委黨校學報;2013年03期

2 尹小勇;;制造業(yè)供應鏈管理主要問題研究[J];人民論壇;2011年11期

3 周宇;熊中楷;陳樹楨;;裝配供應鏈上合作新產(chǎn)品開發(fā)管理研究[J];工業(yè)工程與管理;2010年04期

4 黎繼子;馬士華;郭培林;劉春玲;;基于BOM-Supply Hub的供應鏈設(shè)計模型[J];計算機集成制造系統(tǒng);2009年07期

5 洪兆富;柴國榮;;創(chuàng)新產(chǎn)品生產(chǎn)供應鏈配置問題研究[J];軟科學;2008年10期

6 桂賢;杜綱;;不確定條件下新產(chǎn)品供應鏈零部件供應商選擇的優(yōu)化研究[J];西安電子科技大學學報(社會科學版);2008年02期

7 李菲菲;李華;;隨機服務模型下新產(chǎn)品供應鏈的優(yōu)化[J];全國商情(經(jīng)濟理論研究);2007年03期

8 任慶生,葉中行,曾進,戚飛虎;對常用選擇算子的分析[J];上海交通大學學報;2000年04期

相關(guān)博士學位論文 前4條

1 常天田;裝配型供應鏈調(diào)度與協(xié)調(diào)研究[D];青島大學;2013年

2 李雙艷;裝配型制造企業(yè)庫存協(xié)同優(yōu)化理論與方法研究[D];中南大學;2012年

3 李武;供應商選擇群決策建模與多源多時段采購優(yōu)化[D];華中科技大學;2009年

4 馬林;基于SCOR模型的供應鏈風險識別、評估與一體化管理研究[D];浙江大學;2005年

相關(guān)碩士學位論文 前1條

1 劉曉逸;面向資源—時間—服務水平約束的供應鏈優(yōu)化配置研究[D];鄭州大學;2012年

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