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Resilience in Product Design and Development Processes: A Risk Management Viewpoint

机译:产品设计和开发过程中的弹性:风险管理观点

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Product development (PD) faces uncertainties caused by rapidly developing technologies, shifting market demands and the changes occasioned by these developments, including new requirements for products being developed and increased difficulty for companies to reliably execute state-of-the-art processes. In this paper, we argue that classic PD risk management methods and tools are based on the ‘predict and plan’ paradigm, which assumes that organisation members involved in PD have sufficient time and resources to identify, analyse and mitigating technology risks and organisational risks. However, the reality of product development is that time and resources are rarely sufficient, and uncertainty is currently being introduced to the development process at an accelerated rate by trends such as pervasive digitalisation. This paper therefore investigates a resilience-inspired approach to PD risk management that abandons the predict and plan paradigm in favour of a ‘monitor and adapt’ approach. We argue that, in industrial practice, predict and plan approach is the de facto risk management baseline, and suggest deliberately tailoring risk management and PD processes to incorporate resilience-based practices. To that end, we provide suggestions for process frameworks and tools organisations may adopt and discuss how resilience and risk management are complementary approaches to traditional PD. Our arguments are supported by a case study of an engineering organisation and additional interviews conducted with members of similar organisations for purposes of validation.
机译:产品开发(PD)面临着由快速发展的技术,不断变化的市场需求以及这些发展带来的变化所带来的不确定性,其中包括对正在开发的产品的新要求以及使公司难以可靠地执行最新流程的困难。在本文中,我们认为经典的PD风险管理方法和工具基于“预测和计划”范式,它假定参与PD的组织成员有足够的时间和资源来识别,分析和缓解技术风险和组织风险。但是,产品开发的现实是时间和资源很少足够,并且由于诸如数字化普及之类的趋势,不确定性目前正以更快的速度引入到开发过程中。因此,本文研究了以恢复力为灵感的PD风险管理方法,该方法放弃了预测和计划范式,而采用“监视和适应”方法。我们认为,在工业实践中,预测和计划方法是事实上的风险管理基准,并建议刻意调整风险管理和PD流程以纳入基于弹性的实践。为此,我们为组织可以采用的流程框架和工具提供建议,并讨论弹性和风险管理如何成为传统PD的补充方法。我们的论点得到了一个工程组织的案例研究的支持,并为验证目的而对类似组织的成员进行了额外的采访。

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