下载PDF
Consolidated Contractors Company: Generating million-dollar cost savings by improving the performance and utilization of assets
技术
- 功能应用 - 车队管理系统 (FMS)
适用行业
- 建筑与基础设施
适用功能
- 物流运输
- 维护
用例
- 预测性维护
- 资产健康管理 (AHM)
- 车队管理
服务
- 系统集成
挑战
2008 年经济危机后,建筑市场崩溃,迫使联合承包商公司 (CCC) 等老牌企业削减成本、提高收入,以保持其在与来自远东的新竞争对手的市场份额。CCC 认识到需要成为一家灵活、高度动态的企业,并制定了 2020 年愿景,即在尖端物联网技术支持下运营更智能的建筑工地。具体来说,它的目标是改进设备的管理和利用,因为这些因素对完成每个建筑项目的总成本有重大影响。为了确定需要改进的领域,CCC 需要清楚地了解设备的可用性、健康状况、状态、位置和维护成本,而其现有的 IT 系统和纸质流程无法提供这些。
关于客户
联合承包商公司 (CCC) 成立于 1952 年,是中东地区最大的建筑公司之一,位列全球前 20 名承包商之列。该公司年收入约为 53 亿美元,拥有约 130,000 名员工,管理的项目遍布全球 40 多个国家。2008 年经济危机后,建筑市场崩溃,迫使 CCC 等老牌企业削减成本、增加收入,以保持其市场份额,对抗来自远东的新竞争对手。
解决方案
CCC 部署了 IBM® Maximo® for Transportation 软件,该解决方案旨在帮助大型公司优化资产性能和管理。遍布全球施工现场的 CCC 员工直接在 Maximo 解决方案中记录每项资产的状态、位置和维护详细信息,该解决方案管理着超过 16,500 台设备,总价值 12 亿美元。该解决方案在帮助 CCC 降低设备运输和维护成本、最大程度提高资产可用性、提高利用率以及确保其购买的任何设备尽可能长时间可用方面发挥着关键作用。
运营影响
数量效益
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
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.
Case Study
Bellas Landscaping
Leading landscaping firm serving central Illinois streamlines operations with Samsara’s real-time fleet tracking solution: • 30+ vehicle fleet includes International Terrastar dump trucks and flatbeds, medium- and light-duty pickups from Ford and Chevrolet. Winter fleet includes of snow plows and salters.
Case Study
Condition Based Monitoring for Industrial Systems
A large construction aggregate plant operates 10 high horsepower Secondary Crusher Drive Motors and associated conveyor belts, producing 600 tons of product per hour. All heavy equipment requires maintenance, but the aggregate producer’s costs were greatly magnified any time that the necessary maintenance was unplanned and unscheduled. The product must be supplied to the customers on a tight time schedule to fulfill contracts, avoid penalties, and prevent the loss of future business. Furthermore, a sudden failure in one of the drive motors would cause rock to pile up in unwanted locations, extending the downtime and increasing the costs.Clearly, preventative maintenance was preferable to unexpected failures. So, twice each year, the company brought in an outside vendor to attach sensors to the motors, do vibration studies, measure bearing temperatures and attempt to assess the health of the motors. But that wasn’t enough. Unexpected breakdowns continued to occur. The aggregate producer decided to upgrade to a Condition Based Monitoring (CBM) sensor system that could continually monitor the motors in real time, apply data analytics to detect changes in motor behavior before they developed into major problems, and alert maintenance staff via email or text, anywhere they happened to be.A wired sensor network would have been cost prohibitive. An aggregate plant has numerous heavy vehicles moving around, so any cabling would have to be protected. But the plant covers 400 acres, and the cable would have to be trenched to numerous locations. Cable wasn’t going to work. The aggregate producer needed a wireless solution.