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Analysis of decisions involved in offering a product warranty

机译:提供产品保修的决策分析

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Every day, competitive proposals are submitted to the Department of Defense for anything ranging from weapons to service and support contracts to dual-band ship-based radar systems. A company's competitiveness against other potential contractors is riding on its ability to design superior products at an affordable cost to the customer. Part of offering an affordable product comes in the form of a warranty. It is difficult to quantify the risks and rewards of offering a warranty. Reliability engineers are often asked to evaluate the risk of offering a warranty on a system. Offering a warranty on an unproven technology is obviously very risky. However, not providing some form of guarantee on their products also comes with risk, as it infers added life cycle costs to the customer, particularly if the competition is offering a warranty. The goal of any company is to identify a way to examine and manage risks associated with offering a warranty, versus not offering a warranty. A working model was developed, which can be used to evaluate optimal warranty terms and conditions to maximize net present value (NPV). The NPV is calculated from a series of future cash flows derived from product sales and expenses associated with warranty program costs. The Warranty Costs and Decision Model can be refined continuously and be improved for actual use by any defense contractor. Additional data could be collected to minimize the amount of assumptions, such as the probability of winning a contract under certain conditions, etc. The current model as presented, however, demonstrates the power of the @RISK software tool, and the type of complex analyses that can be easily performed. As defense contractors continue to try to improve their proposal processes and contract win percentages, development of a warranty cost and risk analysis tool, like the one presented here, offers an edge over the competition. Being able to quantify risk and opportunity associated with many unknowns is advant-ageous over making those types of decisions based on "gut feel" and intuition alone.
机译:每天,竞争性提案都会提交给国防部,涉及从武器,服务和支持合同到双频舰载雷达系统等所有方面。公司相对于其他潜在承包商的竞争力在于其以客户可承受的成本设计出优质产品的能力。提供负担得起的产品的一部分以保修的形式出现。很难量化提供保修的风险和回报。经常要求可靠性工程师评估对系统提供保修的风险。对未经验证的技术提供保修显然具有很大的风险。但是,不为其产品提供某种形式的担保也会带来风险,因为这会给客户带来更高的生命周期成本,尤其是在竞争对手提供保修的情况下。任何公司的目标都是确定一种检查和管理与提供保修相关的风险的方法,而不是不提供保修的方法。开发了一种工作模型,该模型可用于评估最佳保修条款和条件,以使净现值(NPV)最大化。净现值是根据一系列未来现金流量计算的,这些现金流量来自产品销售以及与保修计划成本相关的费用。保修成本和决策模型可以不断完善,并可以为任何国防承包商的实际使用而改进。可以收集其他数据以最大程度地减少假设,例如在某些条件下赢得合同的可能性等。但是,所提供的当前模型证明了@RISK软件工具的强大功能以及复杂分析的类型可以很容易地执行。随着国防承包商继续努力改善提案流程和合同中标率,开发保修成本和风险分析工具(如此处介绍的工具)在竞争中占了上风。能够量化与许多未知因素相关的风险和机会是有利的, 仅凭“直觉”和直觉做出这些类型的决策就很不明智了。

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