當今世界進入了數據爆炸的時代，數據成為企業(yè)最重要的資產之一，是實現智能制造的基礎。隨著各類數據采集、整理、分析相關技術的發(fā)展及應用，數據的價值逐步在多方面得到了體現，越來越受到企業(yè)的重視。數據在制造企業(yè)內的核心價值凸顯。
In the field of product design and development, enterprise can through the product definition (MBD) implementation based on the model, build product Digital Twin Twin model (Digital), at the same time of delivery of physical products, the delivery of products Digital Twin, establish data supply chain.
在產品設計研發(fā)領域，企業(yè)可通過實現基于模型的產品定義（MBD），構建產品的Digital Twin（數字孿生模型），在交付實體產品的同時，交付產品的Digital Twin，建立數據供應鏈。最大限度地利用已有的設計成果，實現設計重用。此外，企業(yè)還可以構建自己的三維零件庫，這方面目前市場上已有完整的解決方案，如德國卡迪納斯（CADENAS）。
Make the best use of existing design results and realize design reuse. In addition, companies can build their own three-dimensional parts library, which is now available on the market for complete solutions, such as CADENAS in Germany.
隨著社交媒體的廣泛應用，企業(yè)進行產品創(chuàng)新設計也可以基于社交大數據的反饋來優(yōu)化設計方案，使產品設計更加貼近客戶的需求。數據能夠驅動現代制造企業(yè)的產品研發(fā)、生產、采購等業(yè)務流程。例如，可通過結構化數據來描述客戶需求，并且與產品數據關聯起來，將產品結構、裝配關系、制造工藝、產品配置等產品全生命周期的數據統一管理。在整個產品生命周期，從客戶需求到概念設計、詳細設計、工藝設計、仿真試驗、生產制造到售后服務過程的數據應當全部貫通，并且通過結構樹的方式準確地表達。這樣，客戶需求如果出現變更，會對產品結構，乃至后續(xù)的制造和服務產生哪些影響，才能夠追溯清楚。對企業(yè)級BOM的有效管理，是制造企業(yè)實現設計重用，提升研發(fā)效率，實現產品快速配置的基礎。
In this way, if the customer needs change, the product structure, and even subsequent manufacturing and service, can be traced back clearly. The effective management of enterprise BOM is the basis for manufacturing enterprises to realize design reuse, improve r&d efficiency and realize the rapid configuration of products.
企業(yè)進行工藝規(guī)劃、生產計劃排產和確定物料需求計劃，也可以利用數據驅動。企業(yè)應用ERP系統可以實現產、供、銷、人、財、物的協同管理，MES系統則要處理人、機、料、法、環(huán)等影響生產和質量的數據。根據不同產品的銷售數據分析，還可以有針對性地調整產品的生產計劃等等。
The enterprise carries out the process planning, the production plan to produce and determines the material demand plan, also can use the data drive. Enterprise application ERP system can realize the cooperative management of production, supply, sales, people, wealth and things, and the MES system should deal with the data of people, machine, material, law, ring, etc., which affect production and quality. According to the analysis of sales data of different products, the production plan of products can be adjusted accordingly.
除以上提到的以外，在質量管理、企業(yè)內外部協同、決策支持、供應鏈的分析與優(yōu)化、市場營銷……等領域，數據的價值日益凸顯，此外許多新的技術，如物聯網的應用、增材制造的實現等都需要基于數據。這些數據有些來自企業(yè)內部，如設計、加工、仿真等產品數據，設備、營銷、生產、采購等運營數據；有些來自外部，如客戶、供應商等價值鏈數據，以及社交媒體數據等等。越來越多的制造企業(yè)開始認識到數據的價值，并開始積極利用數據實現業(yè)務的革新，數據已經成為推動企業(yè)智能化轉型的重要力量。
More and more manufacturing enterprises are beginning to realize the value of data and begin to actively use data to realize the innovation of business. Data has become an important force to promote the intelligent transformation of enterprises.
筆者認為，在制造企業(yè)轉型的過程中，數據將會凸顯其核心價值。只有企業(yè)在充分完成數字化和智能化改造，打通數據流通的各個關鍵點，數據的威力才能得到充分發(fā)揮。隨著智能制造戰(zhàn)略的推進，企業(yè)智能化水平的提高，數據必將在未來的工業(yè)轉型過程中扮演越來越重要的角色。
The author thinks that in the process of manufacturing enterprise transformation, the data will highlight its core value. Only when the enterprise fully completes digitization and intelligentized transformation, can the data flow through the key points, the power of the data can be fully played. With the advancement of intelligent manufacturing strategy and the improvement of enterprise intelligence level, the data will play an increasingly important role in the future industrial transformation.
