Abstract
Synthesising knowledge for lean product development process of a low noise jet engine
Highlights
Rapid technological changes cause organisations to adopt the fast-paced technological changes for sustainability and continuous improvement of their product development activities
The combination of the lean and product development processes addressed the challenges as lean product development (LeanPD); an application of lean principles to product development (Araci et al, 2016)
trade-off curves (ToCs) are commonly generated in the form of mathematical algorithms; this paper focuses on using real data which has been collected from previous, either successful or failed projects
Summary
Rapid technological changes cause organisations to adopt the fast-paced technological changes for sustainability and continuous improvement of their product development activities. Organisations need a product development approach that can handle the rapid changes along with complex customer requirements to fulfil (Addo-Tenkorang et al, 2016). LeanPD supports research and development (R&D) to acquire the required knowledge for improving the quality and design of a product. LeanPD, combined with trade-off curves (ToCs), provides the required environment by acquiring and visualising the knowledge of the product as well as outcomes from the R&D (Araci et al, 2017; Tariq, 2013). LeanPD is often referred to as the cross functional activity that uncovers the required knowledge and environment for optimal product development. This research aims to address two major areas: creating the right knowledge environment by improving product development processes and providing support to successful decision making for a reduction of aircraft jet engine takeoff noise level (Kopsch, 2016; Gagliardi et al, 2018)
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