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COSTMAN: A Real-Time Commitment to Cost Management

机译:COSTMAN:对成本管理的实时承诺

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For a refinery maintenance organization, performance is often based on how productivity and budget spending relate to neighboring refineries. In other words, how well the organization can make use of its time and money versus the competition. The measurement of time and money relies heavily on the refinery's ability to accurately status and forecast its project-spending level. Fluctuations in spending levels, if detected early, can improve management's ability to minimize overruns or maximize its available budget. The potential volume of projects worked by a maintenance organization may often require a large amount of contract labor to supplement the company labor force. The combination of the two labor forces will allow managers to achieve productivity and performance goals in times of increased maintenance activity. However, the frequent oscillation in the size of the contract work force will facilitate the need for accurate commitment tracking to ensure all costs are accounted for when reporting project spending levels. Many organizations are capable of tracking their own costs, but will fail to forecast proper cost data if not supplied with adequate tools to forecast and manage contract work. This article attempts to demonstrate how one major US refinery attempted to diagnose and treat its failing cost tracking abilities through the development of an in house real-time cost tracking tool. By capturing the flow of contractual activity, data that is complied in real-time can be used to identify project accruals, provide a more complete monthly forecast, and ensure that project budget is being used to its full extent.
机译:对于精炼厂维护组织,绩效通常取决于生产率和预算支出与相邻精炼厂的关系。换句话说,与竞争相比,组织可以更好地利用其时间和金钱。时间和金钱的测量在很大程度上取决于精炼厂准确地状态和预测其项目支出水平的能力。如果尽早发现支出水平的波动,则可以提高管理层将超支额最小化或将其可用预算最大化的能力。维护组织工作的潜在项目量通常可能需要大量合同工来补充公司劳动力。两种劳动力的结合将使管理人员能够在增加维护活动时实现生产力和绩效目标。但是,合同工规模的频繁波动将促进对准确承诺跟踪的需求,以确保在报告项目支出水平时将所有成本都考虑在内。许多组织能够跟踪自己的成本,但是如果没有提供足够的工具来预测和管理合同工作,就无法预测适当的成本数据。本文试图说明美国一家大型炼油厂如何通过开发内部实时成本跟踪工具来诊断和处理其成本跟踪能力不足的问题。通过捕获合同活动的流,可以将实时编译的数据用于识别项目应计项目,提供更完整的每月预测,并确保充分利用项目预算。

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