借助 E2 Shop System 创纪录地在 3 个月内获得 AS9100/NADCAP 认证！
公司规模
Startup
地区
- America
国家
- United States
产品
- E2 Shop System
- E2's RDS module (Rapid Documentation System)
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Brand Awareness
技术
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 航天
适用功能
- 离散制造
用例
- 库存管理
服务
- 软件设计与工程服务
- 系统集成
关于客户
Endeavor Precision 是一家总部位于美国的初创公司。该公司由总裁 Dave Langenkamp 所有并领导，专门从事合同 EDM（电火花加工）钻孔。Endeavor Precision 主要服务于航空航天业，是美国为数不多的提供这种专业服务的公司之一。该公司成立于 2018 年 1 月，同年 5 月，它已开始考虑如何精简运营并获得行业认证。
挑战
Endeavor Precision 是一家专门为航空航天业承包 EDM（电火花加工）钻孔的初创公司，该公司面临着获得 AS9100 和 NADCAP 认证的挑战。认证过程的复杂性使得该公司总裁 Dave Langenkamp 考虑聘请顾问或投资软件来协助认证。该公司还处理 Excel 电子表格和其他数据库中分散的信息，这使得有效管理业务变得困难。
解决方案
Endeavor Precision 决定投资 E2 Shop System（一种制造软件产品），以协助认证流程并将所有业务运营整合到一个系统中。E2 Shop System 的快速文档系统 (RDS) 模块使该公司能够快速准备审计。该模块提供预先编写的程序、完成的文档、流程图和表格，只需进行少量定制。该公司还利用 E2 支持团队的专业知识（包括认证质量管理体系审计师）来协助认证流程。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
