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Product and supply chain related data, processes and information systems for product portfolio management

机译:产品和供应链相关数据,工艺和信息系统,用于产品组合管理

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摘要

Traditional product data management (PDM) systems have evolved to support the product lifecycle management (PLM). The combination, also referred to as PDM/PLM has developed into a product master data (PMD) repository. The PMD and business process related data are utilised in product portfolio management (PPM). However, companies' tendency to have productrelated data in silos among multiple business processes and information systems (IS) results in uncertain information for PPM. This study focuses on data, processes and information systems related to PMD and supply chain product data (SCPD), PPM and supply chain (SC) processes and information systems. The study highlights the related challenges in providing fact-based data for PPM analysis and decision-making. The results indicate that the key PMD and SCPD have not been connected back to PPM as automated and integrated data flow from enterprise resource planning (ERP) system to the PDM/PLM system. The key SCPD consists of product-related volume and cost information that should be linked to PPM analysis and decision making. These findings are critical to further develop data, processes and IS to support strategic and financial PPM analysis and decision making on what products a company should have in the portfolio.
机译:传统产品数据管理(PDM)系统已经发展起来支持产品生命周期管理(PLM)。该组合,也称为PDM / PLM已开发成产品主数据(PMD)存储库。 PMD和业务流程相关数据在产品组合管理(PPM)中使用。但是,公司在多个业务流程和信息系统中在孤岛中具有优化数据的公司趋势导致PPM的不确定信息。本研究侧重于与PMD和供应链产品数据(SCPD),PPM和供应链(SC)流程和信息系统相关的数据,流程和信息系统。该研究突出了基于PPM分析和决策的基于事实的数据的相关挑战。结果表明,关键的PMD和SCPD尚未将PPM与企业资源规划(ERP)系统的自动化和集成数据流返回到PDM / PLM系统。关键SCPD包括与PPM分析和决策相关的产品相关的卷和成本信息。这些调查结果对于进一步开发数据,流程以及支持战略和金融PPM分析和决策,对公司应该在投资组合中的产品中进行的战略和金融PPM分析和决策。

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