Plant layout的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到附近那裡買和營業時間的推薦產品

Plant layout的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Patil, Narasai F.寫的 Quantitative Techniques for Plant Layout Analysis 和Patil, Narasai F.的 Quantitative Techniques for Plant Layout Analysis都 可以從中找到所需的評價。

另外網站Improvement Plant Layout Using Systematic Layout Planning ...也說明:Abstract: The objective of this research is to study plant layout of iron manufacturing based on the systematic layout planning pattern theory (SLP) for ...

這兩本書分別來自 和所出版 。

中原大學 環境工程學系 林志麟所指導 康艾途的 強化氧化混凝程序鋁水解物種對藻類衍生消毒副產物前質去穩定之影響 (2021),提出Plant layout關鍵因素是什麼,來自於藻類、強化前氧化、混凝、消毒副產物。

而第二篇論文中原大學 工業與系統工程研究所 周永燦所指導 林映齡的 應用混合式演算法於設施規劃之研究-以氣封開關生產線為例 (2021),提出因為有 混合式演算法、Blocplan、設施規劃問題、系統模擬、FlexSim的重點而找出了 Plant layout的解答。

最後網站Design Elements - Plant Layout Plans - Conceptdraw.com則補充:Plant Layout Plans solution can be used for power plant design and plant layout design, for making the needed building plant plans and plant layouts looking ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Plant layout,大家也想知道這些:

Quantitative Techniques for Plant Layout Analysis

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為了解決Plant layout的問題,作者Patil, Narasai F. 這樣論述:

Plant layout進入發燒排行的影片

Sant’Agata Bolognese, 17 October 2017 – Automobili Lamborghini’s ongoing strategic investment programme, aligned with the launch of its new Super SUV the Urus, sees its production site now doubled with the creation of substantial new facilities and technologies at its factory headquarters in Sant’ Agata Bolognese, Italy.

As well as expanding the site from 80,000 to 160,000 m2, the Urus will also bring about a substantial increase in the company’s production capacity, doubling it to 7,000 units a year.

The new production facility houses a new assembly line dedicated to Urus, the new finishing department for all Lamborghini models, and a new office building with LEED Platinum certification: the highest standard in the world for energy and environmental certification in building design and construction. A new test track has also been built with thirteen different surfaces specific to SUVs, as well as a new logistics warehouse, a second trigeneration power plant, and the new energy hub for centralized production of all the energy carriers.

Ranieri Niccoli, Chief Manufacturing Officer, commented: “With our third model, we wanted to introduce the most innovative production technologies and smart factory concepts, supporting and complementing the activities of our workforce. Urus ushers in a new model of factory, which we call Manifattura Lamborghini, a new point of reference in the luxury automobile industry. The substantial resultant benefits include greater production flexibility, better information accessibility, and the interconnection of systems: strengthening the professionalism of craftsmanship that has always distinguished us and supporting the doubling of our production volumes.”

The creation of new buildings and the installation of innovative technologies involved more than 600 enterprises working on the project with a total of 3,600 external workers.

The factory expansion was completed in a record time of just 18 months, during which the company operated at full production capacity and achieved record sales in 2016 (+7% over the previous year). The project was achieved without neglecting Lamborghini’s commitment to environmental sustainability: the entire production facility in Sant’Agata Bolognese maintains the carbon neutral certification obtained in 2015.

Manifattura Lamborghini

The new Industry 4.0 assembly line, dedicated entirely to the Urus Super SUV, integrates new production technologies to support workers in assembly activities.

The super sports car maker expresses this approach as Manifattura Lamborghini, which is characterized by four basic principles:

Craftsmanship: preserving and optimizing craftsmanship with the integration of innovative technologies, increasing the potential for product customization on one hand, and guaranteeing the highest quality standards on the other.
Competencies and specialization: digitalization enables workers, via touchscreen devices, to access production information made available by easily-consulted interconnected systems.
Production process: AGVs (Automatic Guided Vehicles) are used as vehicle and material transport systems. Thanks to this system, the flexibility of the building layout is maintained.
Ergonomics and safety: collaborative robots assist the workers, to improve ergonomics and for repetitive operations that require high quality, such as window gluing, under-body screwing, and wheel assembly.

強化氧化混凝程序鋁水解物種對藻類衍生消毒副產物前質去穩定之影響

為了解決Plant layout的問題,作者康艾途 這樣論述:

水庫水源發生藻華會為水廠帶來豐富的藻類有機物(Algogenic organic matter, AOM),從而導致飲用水供應加氯過程產生消毒副產物(DBPs)。前氧化是一種很有用的方式去提高藻類去除效能,以利後續聚氯化鋁(Polyaluminum chloride, PACl)混凝進行最大限度地減少消毒副產物前質(precursors)。然而,鋁水解物種會嚴重影響DBP前質減少之效能。本研究旨在探討 NaOCl 和 ClO2 前氧化對兩種藻類(銅綠微囊藻(Microcystis aeruginosa)和小球藻(Chlorella sp)細胞降解之影響,以及AOM 之分子量(MW)分佈和相應

的 DBP 生成潛能(DBPFP)。此外,進一步評估了具有不同鋁物種之PACl混凝劑,即包括具有71%聚合鋁(Alb)之PACl-H和具有51%單體鋁(Ala)之PACl-W,其對各種分子量之AOM和DBPFP降低之影響。研究結果顯示,在低混凝劑量下(1和2 mg/L as Al),無論氧化劑種類為何,PACl-H混凝減少藻細胞數之能力均較PACl-W佳。然而,PACl-W混凝搭配ClO2前氧化,在高混凝劑量下(4 mg/L as Al)可有效減少藻細胞數(減少比例高達99.6%)。在銅綠微囊藻和小球藻懸浮液之DOC、UV 吸光度和螢光強度方面,PACl-H混凝搭配ClO2前氧化可顯著降低AO

M濃度。此時,在提高氧化劑量後(4 mg/L as Cl2),強化ClO2氧化在特定的分子量(MW)分佈中(10 kDa至大於100 kDa)表現出較佳的AOM 減少率。另一方面,主成份分析(Principal component analysis, PCA)推論已進一步顯示鹵化DBP生成與特定MW分佈(小於1 kDa至100 kDa)的類腐殖酸(Humic acid-like)和類可溶性微生物產物(SMP-like)物質相關密切。總而言之,前氧化程序採用NaOCl或ClO2強化氧化足以增強PACl-H混凝處理含藻水中DBP前質之最小化。

Quantitative Techniques for Plant Layout Analysis

為了解決Plant layout的問題,作者Patil, Narasai F. 這樣論述:

應用混合式演算法於設施規劃之研究-以氣封開關生產線為例

為了解決Plant layout的問題,作者林映齡 這樣論述:

由於全球化的競爭越來越激烈,近年來更受到短交期之影響,也因為顧客不斷要求降價以及勞動力成本的逐年增加,使各個企業持續受到成本上的壓力,產業界對於獲利方面也面臨嚴峻的挑戰。唯有不斷提高自身的生產效率,以及降低不必要的成本,增進企業的競爭優勢,為當今現代企業要努力的重要課題。有學者提及在製造業中,物料搬運成本約占產品總製造成本的15%至70%之間。因此,物料搬運的改善將可以節省可觀的成本,如果能將工廠內部的佈置重新進行設施規劃至少能讓物料搬運成本降低10%至30%。而完善的設施規劃評估相當複雜,無法以人工方式進行計算與評估,須仰賴良好的演算法、電腦強大的運算能力和系統模擬來達到完善的規劃。本研究

以氣封開關生產線為研究對象,個案公司主要的目的在於使搬移時間及搬移距離減少。本研究所使用的Blocplan軟體是進行運算,此軟體是以混合式演算法(Hybrid Algorithms),將資料套入軟體後得出結果,從中挑選出最佳設施佈置,再導入3D動態模擬軟體FlexSim建構新的設施佈置之模型。最後經由模擬得出的驗證結果顯示該設施規劃有利於個案公司參考,降低了物料總搬移時間為21%,物品總搬移時間降低了24%。此方法幫助需要重新設施規劃之企業,利用本研究之研究方法更容易上手,且利用電腦化的軟體,找出最佳設施佈置。