Banco de España: Managing 3,000,000 Square Feet – and 65,000 Asset Elements – Made Easy with ARCHIBUS
公司规模
Large Corporate
地区
- Europe
国家
- Spain
产品
- ARCHIBUS Space Management
- ARCHIBUS Furniture & Equipment Management
- ARCHIBUS Strategic Master Planning
- ARCHIBUS Overlay with Design Management for AutoCAD and Revit
- ARCHIBUS Workplace Portal
技术栈
- Visual Basic.Net
- Oracle Lite
- Barcode Readers
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 功能应用 - 企业资产管理系统 (EAM)
- 功能应用 - 库存管理系统
- 功能应用 - 远程监控系统
适用行业
- 金融与保险
适用功能
- 商业运营
- 设施管理
用例
- 资产健康管理 (AHM)
- 库存管理
- 远程资产管理
服务
- 软件设计与工程服务
- 系统集成
关于客户
Banco de España, established in Madrid in 1782, is the national central bank of Spain. It manages reserves of over €15 billion (approximately $22 billion USD) and oversees an extensive portfolio of office properties, including 33 historic and modern buildings. These buildings, covering over 3,000,000 square feet, house numerous employees and a vast array of assets such as chairs, desks, and equipment. The bank's operations require frequent movement of employees and assets, necessitating an efficient system for asset and space management. Banco de España aims to improve its business processes and decision-making capabilities through advanced asset tracking and space management solutions.
挑战
Banco de España faced significant challenges in managing its extensive portfolio of office properties, which includes 33 historic and modern buildings comprising 300,000 square meters (over 3,000,000 square feet) of space. The bank needed to effectively track and manage a large inventory of non-human assets, such as chairs, desks, and equipment, which frequently moved along with employees. Additionally, the bank required improved space management functions to simplify move management and enhance decision-making processes. The existing system lacked the necessary accuracy and efficiency, leading to difficulties in asset tracking, space classification, and department allocations.
解决方案
To address these challenges, Banco de España, in collaboration with ARCHIBUS Business Partner ActivaFM, implemented the ARCHIBUS suite of applications. The deployment included ARCHIBUS Space Management, Furniture & Equipment Management, Strategic Master Planning, and Overlay with Design Management for AutoCAD and Revit at its Madrid headquarters. The bank also connected its 22 branch offices to the central ARCHIBUS implementation using Web Central and the Workplace Portal application. This integration facilitated comprehensive asset and space management across all locations. ActivaFM developed software for mobile devices with barcode readers to streamline asset data collection. These devices synchronized asset information with the main database using Visual Basic.Net and Oracle Lite, ensuring accurate and efficient data entry. The new system enabled the bank to inventory, label, and locate 65,000 asset elements on floor plans, optimizing asset surveys and minimizing data entry errors.
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”
