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Towards global deviation management in product development using pulse methodology: A case study

Onur Kaya (Institutionen för produkt- och produktionsutveckling, Produktutveckling) ; Daniel Stenholm (Institutionen för produkt- och produktionsutveckling, Produktutveckling) ; Amer Catic (Institutionen för produkt- och produktionsutveckling, Produktutveckling) ; Dag Bergsjö (Institutionen för produkt- och produktionsutveckling, Produktutveckling)
Procedia Computer Science (1877-0509). Vol. 28 (2014), p. 265-274.
[Konferensbidrag, refereegranskat]

Problem solving is an important part of product development. Efficient deviation management together with efficient synchronization can increase the problem solving capabilities of companies. In this paper, we present a deviation management methodology called pulse methodology, which is widely used for product development management in Sweden. It is based on identifying deviations with traffic-coded magnets on a whiteboard and synchronizing the company with frequent meetings. We describe both the baseline pulse methodology and a specific adaptation case of it in a Swedish product development company where this research was carried out. Results showed that pulse methodology manages deviations in local projects efficiently and brings further benefits to the company. The aim of this research is to make the case company more efficient at managing deviations in global projects; specifically help them use pulse methodology for also global projects. In order to do so, we proposed improvements on pulse methodology to make it feasible to be used for global projects. The results have implications to all companies that use or want to use pulse methodology for managing deviations in global projects.

Nyckelord: Boundary objects , Integrative events , Knowledge boundaries , Lean , Synchronizing organisation

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Denna post skapades 2014-05-09. Senast ändrad 2017-09-14.
CPL Pubid: 197770


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Institutioner (Chalmers)

Institutionen för produkt- och produktionsutveckling, Produktutveckling (2005-2017)


Data- och informationsvetenskap

Chalmers infrastruktur

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