本文關(guān)鍵詞： 模式識(shí)別 筆記本電腦 生產(chǎn)產(chǎn)能 樸素貝葉斯算法 生產(chǎn)產(chǎn)能因素　出處：《上海交通大學(xué)》2012年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：自上世紀(jì)90年代起，筆記本電腦以其輕便、高效、靈活等特點(diǎn)逐步成為人們生活中的必需品。隨著用戶對(duì)市場(chǎng)上筆記本的更新速度、穩(wěn)定性和價(jià)格等多方面需求的不斷提高，筆記本代工制造行業(yè)的競(jìng)爭(zhēng)也變得異常激烈。技術(shù)平臺(tái)的更新使得筆記本研發(fā)更新?lián)Q代的速度以“月”為單位，，高速、高效、利潤(rùn)最大化的理念已經(jīng)成為筆記本電腦代工制造行業(yè)間競(jìng)爭(zhēng)生存的不二法寶�？焖俜磻�(yīng)，高產(chǎn)能，過(guò)硬質(zhì)量，強(qiáng)大物流及成本優(yōu)勢(shì)是筆記本代工制造行業(yè)發(fā)展的必要條件。如何能按照筆記本品牌商的要求，及時(shí)保證大批量物美價(jià)廉的筆記本按計(jì)劃上市，是筆記本代工制造行業(yè)目前最重要的課題。 結(jié)合這些來(lái)自筆記本代工生產(chǎn)企業(yè)的實(shí)際需求，我們針對(duì)某筆記本電腦制造企業(yè)的生產(chǎn)狀況進(jìn)行了調(diào)查。根據(jù)在筆記本代工企業(yè)多年相關(guān)的實(shí)際工作經(jīng)驗(yàn)和企業(yè)數(shù)據(jù)庫(kù)中提取出與筆記本電腦生產(chǎn)運(yùn)作流程有關(guān)的數(shù)據(jù)信息，我們初步總結(jié)出三個(gè)主要影響制造企業(yè)日常生產(chǎn)運(yùn)作的因素包括：人為因素、生產(chǎn)計(jì)劃因素和設(shè)備因素。 基于此假定，本文通過(guò)來(lái)自筆記本制造企業(yè)的大量實(shí)際數(shù)據(jù)應(yīng)用樸素貝葉斯（Naive Bayesian）分類(lèi)算法進(jìn)行驗(yàn)證分析。本文所述結(jié)果可幫助筆記本代工制造企業(yè)在做出生產(chǎn)資源配置決策，輔助企業(yè)制定更為合理、準(zhǔn)確和科學(xué)的生產(chǎn)運(yùn)作制度，以達(dá)到企業(yè)利潤(rùn)的最大化，并贏得更多客戶和訂單的目的。 本項(xiàng)目所涉及的具體工作包含： (1)梳理筆記本代工企業(yè)生產(chǎn)制造流程，并對(duì)影響企業(yè)日常生產(chǎn)因素進(jìn)行設(shè)。 (2)學(xué)習(xí)并研究模式識(shí)別及模式識(shí)別中的樸素貝葉斯算法。 (3)基于樸素貝葉斯算法理論設(shè)計(jì)實(shí)現(xiàn)了可應(yīng)用于某筆記本代工企業(yè)的軟件，并對(duì)其中訓(xùn)練樣本加載及執(zhí)行流程做了詳細(xì)的闡述。且對(duì)算法有效性做出評(píng)估，從而分析出真正影響筆記本生產(chǎn)的因素。 (4)根據(jù)實(shí)驗(yàn)結(jié)果，對(duì)樸素貝葉斯算法應(yīng)用于筆記本代工企業(yè)日常生產(chǎn)的可行性進(jìn)行了論證，并對(duì)筆記本生產(chǎn)產(chǎn)能的預(yù)測(cè)做出總結(jié)，驗(yàn)證算法的有效性。 本項(xiàng)目的實(shí)驗(yàn)結(jié)果基本印證了文章提出的假定，也同時(shí)證明了該算法在對(duì)筆記本代工制造企業(yè)產(chǎn)能分析上的有效性。
[Abstract]:Since -10s, notebook computers with its portable, efficient, flexible and other characteristics have gradually become a necessity in people's lives. With the increasing demand for stability and price, the competition in the notebook contract manufacturing industry has become extremely fierce. The update of the technology platform makes the speed of notebook R & D update to the "month" as the unit, high speed. The concept of high efficiency and profit maximization has become the key to the survival of the notebook computer contract manufacturing industry. Rapid response, high capacity, excellent quality. Strong logistics and cost advantages are the necessary conditions for the development of notebook contract manufacturing industry. How to ensure that large quantities of high-quality and inexpensive notebooks can be listed as planned according to the requirements of notebook brands. It is the most important subject of notebook contract manufacturing industry at present. Combine these from the actual needs of notebook contract manufacturing enterprises. We investigated the production status of a notebook computer manufacturing enterprise. Based on the actual work experience and enterprise database of notebook contract manufacturing enterprise for many years, we extracted from the notebook computer production operation process. Data information. We preliminarily summarize three main factors that affect the daily production operation of manufacturing enterprises: human factors, production planning factors and equipment factors. Based on this assumption. This paper applies naive Bayesian Bayesian (Bayesian) to a large number of practical data from notebook manufacturing enterprises. The results of this paper can help the notebook manufacturing enterprises to make the decision of allocation of production resources. Assist enterprises to establish more reasonable, accurate and scientific production operation system to maximize profits and win more customers and orders. The specific work involved in this project includes: 1) carding the manufacturing process of Notebook manufacturer, and setting up the daily production factors. Learning and studying naive Bayes algorithm in pattern recognition and pattern recognition. Based on the theory of naive Bayes algorithm, the software which can be used in a notebook contract manufacturing enterprise is designed and implemented. The training sample loading and execution flow are described in detail, and the effectiveness of the algorithm is evaluated, and the factors that affect the notebook production are analyzed. 4) based on the experimental results, the feasibility of applying naive Bayes algorithm to the daily production of notebook contract manufacturing enterprises is demonstrated, and the prediction of notebook production capacity is summarized to verify the validity of the algorithm. The experimental results of this project basically confirm the hypothesis put forward in this paper, and at the same time prove the validity of the algorithm in the capacity analysis of notebook contract manufacturing enterprises.
【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：TP368.32

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 錢(qián)芝網(wǎng);大規(guī)模定制化與供應(yīng)鏈管理[J];技術(shù)經(jīng)濟(jì)與管理研究;2005年05期

本文編號(hào)：1486037