The paper proposes a framework for analysing the performances of product-service systems (PSSs) development processes using a balanced scorecard (BSC) as an instrument to guide the implementation and the evaluation of new methods and tools. Emerging from a case study in the aerospace industry, the paper discusses the main challenges in PSS development and proposes a performance measurement framework for PSS development based on multi-criteria indicators. Finally, the benefits of a framework for PSS development performance measurement are discussed.Keywords: PSS; product-service system; performance measurement; balanced scorecard; performance indicators; product development; cross-functional teams; aerospace.
Performance measurement framework
147Reference to this paper should be made as follows: Chirumalla, K., Bertoni, A., Parida, A., Johansson, C. and Bertoni, M. (2013) Christian Johansson is a Postdoctoral Researcher with experience and skills from applied research projects in primarily engineering product development. His main research interest is in knowledge-based support to drive product development. His doctoral work analysed the decision-making phase and role of information and knowledge in Stage-Gate process. As an outcome, the concept of knowledge maturity was presented as a way of assessing the base for decision-making. By applying the maturity scale appropriately, sometimes mitigating, actions can be taken where it is needed the most from a knowledge perspective.Marco Bertoni is an Associate Professor at Blekinge Institute of Technology, working with a focus on the conceptual design stage of product service systems, in close academia/industry collaboration. With an international research background from EU FP6 and FP7 aerospace projects, his research work focuses on value-driven design methods to complement traditional requirements management processes. In this area, he investigated the engineering need for visualising technical performances and in-service value of complex system, and developing decision-making models to guide early concept selection activities. In parallel, he has worked in the domain of engineering knowledge management, exploring mechanisms for experience capturing and sharing, to enable such decision-making models to be constructed and populated.
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