Global Engineering Organization Improves Bids and Estimates with Aspen Capital Cost Estimator
公司规模
1,000+
地区
- America
国家
- United States
产品
- Aspen Capital Cost Estimator
- aspenONE Engineering
技术栈
- Estimating Software
- Process Manufacturing Software
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 过程分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 化学品
- 建筑与基础设施
适用功能
- 离散制造
- 采购
用例
- 预测性维护
- 过程控制与优化
服务
- 系统集成
- 培训
关于客户
Linde is one of the leading global producers of industrial gases, with an associated world-class engineering organization. The company has a presence in approximately 100 countries and employs nearly 52,000 people. Linde is committed to technologies and products that unite the goals of customer value and sustainable development. The company's U.S. engineering organization was facing challenges with high estimating variances and overruns, coupled with a large, dispersed estimating team.
挑战
Linde’s U.S. engineering organization was facing high estimating variances and overruns, coupled with a large, dispersed estimating team. The problem was diagnosed as an inconsistent use of tools and business processes in the estimating function. The company was looking for a more strategic, centralized solution to streamline its estimating discipline, improve the accuracy of capital cost estimates, and achieve long-term cost savings.
解决方案
Linde implemented aspenONE Engineering and the Aspen Capital Cost Estimator. The software enabled fast, accurate estimates and analysis, and allowed the company to phase out disparate legacy products for greater efficiency. To test the value of the software, five recently built plants were fully modeled and implemented in the software. The models successfully matched the historical data within a small overall variability. Following the initial implementation phase, the company put the solution to work on two hydrogen plant proposals, testing both the technical and work process aspects of the approach. The software was run in parallel with legacy systems to build confidence in the solution and fine tune the cost models to match Linde practices.
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
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Honeywell - Tata Chemicals Improves Data Accessibility with OneWireless
Tata was facing data accessibility challenges in the cement plant control room tapping signals from remote process control areas and other distant locations, including the gas scrubber. Tata needed a wireless solution to extend its control network securely to remote locations that would also provide seamless communication with existing control applications.
Case Study
Advanced Elastomer Systems Upgrades Production
In order to maintain its share of the international market for thermoplastic elastomers AES recently expanded its Florida plant by adding a new production line. While the existing lines were operating satisfactorily using a PROVOX distributed control system with traditional analog I/O, AES wanted advanced technology on the new line for greater economy, efficiency, and reliability. AES officials were anxious to get this line into production to meet incoming orders, but two hurricanes slowed construction.
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.
Case Study
Bridge monitoring in Hamburg Port
Kattwyk Bridge is used for both rail and road transport, and it has played an important role in the Port of Hamburg since 1973. However, the increasing pressure from traffic requires a monitoring solution. The goal of the project is to assess in real-time the bridge's status and dynamic responses to traffic and lift processes.