試翻美國(guó)IndustryWeek上關(guān)于智能制造的一段介紹文章，自學(xué)與分享。
Tag: 工業(yè)4.0、物聯(lián)網(wǎng)、智能制造

在70和80年代，我們觀察到了制造業(yè)的一波生產(chǎn)率改進(jìn)浪潮。新科技，包括個(gè)人電腦PC，數(shù)控機(jī)器，PLC和計(jì)算機(jī)輔助制造，結(jié)合了最新的流程改進(jìn)方法，比如TQM全員質(zhì)量管理，Just-In-Time準(zhǔn)時(shí)化和六西格瑪方法論，在多個(gè)產(chǎn)業(yè)帶來(lái)了生產(chǎn)率和效率的巨大提升。

如今，我們一樣看到了新科技結(jié)合流程改進(jìn)方法會(huì)帶來(lái)潛在的徹底改變，這會(huì)改善制造廠商們?cè)谡麄€(gè)產(chǎn)品價(jià)值鏈中如何融入流程和系統(tǒng)的方法，從而給客戶(hù)帶來(lái)更多選擇和全新的服務(wù)類(lèi)型。

一些組織致力于把制造廠商、科技和信息化系統(tǒng)帶到一起，這些組織包括制造企業(yè)系統(tǒng)協(xié)會(huì)(MESA)，工業(yè)互聯(lián)網(wǎng)聯(lián)盟(IIC)和智能制造領(lǐng)導(dǎo)聯(lián)盟(SMLC)，他們正通過(guò)IIoT物聯(lián)網(wǎng)和智能制造來(lái)協(xié)調(diào)這些新技術(shù)的整合，從而更快的把流程改進(jìn)落地。

智能制造倡議會(huì)帶來(lái)制造業(yè)商業(yè)策略的革新，把傳統(tǒng)工廠從成本中心變成可盈利的創(chuàng)新中心，通過(guò)工業(yè)自動(dòng)化，IIoT和IT的整合，其中包含了云服務(wù)、3D建模、移動(dòng)計(jì)算、智能和統(tǒng)一平臺(tái)等。

智能制造會(huì)通過(guò)信息化、及時(shí)化（越接近實(shí)時(shí)越好）和深入的決策執(zhí)行從而給制造企業(yè)帶來(lái)主動(dòng)型管理。智能制造倡議包含了下列目標(biāo)：

- 有能力從設(shè)備接收公開(kāi)數(shù)據(jù)，利用安全的開(kāi)放標(biāo)準(zhǔn)，分析積累數(shù)據(jù)，并且在企業(yè)和相連的價(jià)值鏈上的設(shè)備，記錄系統(tǒng)以及過(guò)程工作流提供過(guò)程控制。
- 對(duì)于設(shè)備、機(jī)器和工廠級(jí)的自主和分布式?jīng)Q策支持。
- 對(duì)產(chǎn)品價(jià)值鏈挖掘數(shù)據(jù)的普遍應(yīng)用，包括對(duì)任何一條生產(chǎn)線(xiàn)的點(diǎn)對(duì)點(diǎn)的價(jià)值鏈的可視化，把制造廠商、顧客和供應(yīng)商網(wǎng)絡(luò)連在一起。
- 通過(guò)從智能制造設(shè)備和流程中的大量原數(shù)據(jù)的處理，從而提高基于數(shù)據(jù)和分析的決策能力。
- 更高效支持新服務(wù)和商業(yè)模式，包括大規(guī)模定制和產(chǎn)品即服務(wù)模式。
- 這些最新的功能會(huì)給所有不同類(lèi)型、不同產(chǎn)業(yè)的制造商們帶來(lái)廣闊前景和市場(chǎng)，價(jià)格合理并且方便實(shí)現(xiàn)。

On the Journey to a Smart Manufacturing Revolution

In the 1970s and 80s, we witnessed a revolutionary wave of productivity improvements in manufacturing. New technologies, including personal computers (PCs), numerically controlled (NC) machines, programmable logic controllers (PLCs), and computer-aided manufacturing (CAM), combined with new process improvement ideas like Total Quality Management (TQM), Just-In-Time, and Six Sigma yielded great new levels of productivity and efficiency in many manufacturing industries.

Now, in this decade, we are seeing a similar convergence of technologies and process improvement initiatives with the potential to radically improve the way manufacturers thread processes and systems in the entire product value chain in order to deliver more options and new service models to customers.

Several organizations that bring together manufacturers, technologies and information systems, organizations like MESA (Manufacturing Enterprise Systems Association), the Industrial Internet Consortium (IIC), and the Smart Manufacturing Leadership Coalition (SMLC), are working on initiatives including the Industrial Internet of Things (IIoT) and Smart Manufacturing to coordinate this convergence of technologies and realize the process improvement potential sooner rather than later.

Smart Manufacturing is an initiative to bring about a revolution in manufacturing business strategy, turning traditional factories from cost centers into profitable innovation centers, through the integration of industrial automation, IIoT, and information technology (IT) including cloud services, 3D models, mobile computing, intelligence, and integration platforms.

Smart Manufacturing will enable proactive management of the manufacturing enterprise through informed, timely (as close to real-time as possible), in-depth decision execution. Smart Manufacturing initiatives share the following goals:

? Ability to receive published data from equipment using secure open standards, analyze and aggregate the data, and trigger process controls back to equipment, systems of record and process workflows across the enterprise and value chain connected via A2A and B2B open standards.

? Autonomous and distributed decision support at the device, machine and factory level.

? Ubiquitous use of mined information throughout the product value chain including end-to-end value chain visibility for each product line connecting manufacturer to customers and supplier network.

? Enhanced information- and analytics-based decision making on large amounts of raw data gathered from the smart manufacturing equipment and processes.

? New levels of efficiency to support new services and business models including mass customization (highly configured products) and product-as-a-service.

? Provide a broad portfolio of these advanced capabilities to manufacturers of all sizes and in all industry sectors, at acceptable levels of cost and implementation complexity.

原文可見(jiàn)：http://www.industryweek.com/systems-integration/journey-smart-manufacturing-revolution
作者：Conrad Leiva; VP Product Strategy and Alliances, iBaset

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