多代产品开发环境下支持工程决策的产品全生命周期成本估算模型的建立

Xianming Cai, S. Tyagi
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引用次数: 13

摘要

产品开发领域的研究在设计、规划、制造、测试和服务领域识别和实施新概念,以跟上市场需求。许多产品开发本质上是多代的,可能需要在每一代重新设计产品,因为针对单代的优化策略可能不是多代场景中的最佳选择。为此,本文提出了一种新的产品生命周期成本估算模型,以支持多代产品开发环境下的工程决策。该成本估算模型开发了一个数学公式,其中包含三个主要成本组成部分:开发成本、服务成本和相关风险成本。风险成本又包括技术风险、市场风险和操作风险三个组成部分。所开发的数学公式衡量了正在进行的多代产品开发的状态,解决了其基本需求,如未来重用的设计。它还可以作为成功的项目管理的战略决策工具。为了验证所提出的成本模型,通过考虑三个候选概念,对基于制造的产品(燃气轮机)进行了实证案例研究。对于那些在设计产品时对成本分析稍有了解的设计工程师来说,这种成本估算非常方便。它帮助设计团队准确地预测和战略性地规划项目,并以相对较低的成本做出与未来世代兼容的决策。因此,本文旨在提供一个新的方向和方法,以最大限度地提高从多代产品中获得的商业利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a Product Life-Cycle Cost Estimation Model to Support Engineering Decision-Making in a Multi-Generational Product Development Environment
The research under product development domain identifies and implements new concepts in design, planning, manufacturing, testing, and service sectors to keep up with the market demands. Many product developments are multi-generational in nature and may require redesigning the product at each generation because an optimized strategy for a single generation may not be the best option in the multi-generation scenarios. With this regard, this article proposes a novel product life-cycle cost estimation model to support engineering decision-making in a multi-generational product development environment. This cost estimation model develops a mathematical formulation which has three major cost constituents: development cost, service cost, and associated risks cost. The risks cost further includes three components coming from technical risk, market risk, and operation risk. The developed mathematical formulation measures the on-going multi-generational product development’s status, addresses its basic needs such as design for future reuse. It also serves as a strategic decision-making tool for successful project management. For the purpose of validating the proposed cost model, an empirical case study of a manufacturing-based product (gas turbine) is illustrated by considering three candidate concepts. This cost estimation is very handy to those design engineers who have a little idea of cost analysis when they design a product. It assists design teams by accurately forecasting and strategically planning a project and by making decisions which are compatible with future generations at a relatively cheaper cost. Thus, this article aims to provide a new direction and approach to maximize the business profit earned from multi-generational products.
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