Key Performance Indicators for Design and Engineering

Beisheim, Nicolai; Stotz, Florian

doi:10.1007/978-1-4471-4426-7_30

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Product development processes, success and failure factors, and best practices have received much attention in the existing literature (Bhasin, 2012;Sedighadeli and Kachouie, 2019). However, research on PM in new PD is very limited relatively (Beisheim and Stotz, 2013;Cazeri et al, 2019;Driva et al, 2000). Advanced concepts such as lean are now adopted by organizations to ensure market survival, however, PM systems that are in place are outdated (Dybvik et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Performance measurement of a lean product development process

Hejazi

Bhuiyan

Othman

2020

Concurrent Engineering

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Over the past few years, organizations have faced pressure from stakeholders to implement lean principles in their product development processes. However, the existing methods are not capable of measuring the benefits of adopting lean initiatives in the product development process. This research aims to develop a performance measurement model that can measure the effects of implementing lean in the engineering process. Engineering effort is analyzed in order to identify hidden wastes (e.g. inventory in the form of information about product specifications or engineering errors) in the engineering process. The model has been implemented in a civil design process of an engineering consultant company to validate the general applicability of the new model. The implementation of the model provides visibility on the waste hidden in the engineering process and quantifies that waste. The most significant contribution of this research is the development of new performance metrics and a decomposition chart. Finally, performance metrics are properly linked and the model treats lean as a holistic system, quantitatively measuring performance at different organizational levels.

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Section: Introductionmentioning

confidence: 99%

Performance measurement of a lean product development process

Hejazi

Bhuiyan

Othman

2020

Concurrent Engineering

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Preliminary Requirements and Architecture Definition for Integration of PLM and Business Intelligence Systems

Bosch-Mauchand

Bricogne

Eynard

et al. 2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Part 1: Knowledge Discovery and SharingInternational audienceWith the advance of information systems and business intelligence technologies, new possibilities and functionalities to measure, monitor and control processes have emerged in the research area and in the market. In the context of PLM system, not only KPI for strategic goals can be measure and indicators for decision but also operational metrics link to product, project and process to manage agility of companies

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Key Performance Indicators for Design and Engineering

Cited by 2 publications

References 4 publications

Performance measurement of a lean product development process

Performance measurement of a lean product development process

Preliminary Requirements and Architecture Definition for Integration of PLM and Business Intelligence Systems

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