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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(3): 256-262 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.421

Requirement Management Strategy

Dagný Hauksdóttir and Poul E. Nielsen
Abstract—For every organization it holds true that resources are limited. It is therefore critical for success to direct the available resources in the right directions. For this purpose it might be valuable identifying the key business processes and creating strategic plans for their future objectives. Such strategic plans would be more closely aligned with daily operational management and also enable operational improvement opportunities to surface to a strategic level. This paper focuses on the field of Requirement Management (RM). RM is considered a key business process for directing attention to creating customers value and to ensure a successful project startup. The objective of the paper is to establish an understanding of the purpose of having a RM strategy and what the content of a requirement strategy should be. A case study presenting a strategy to RM generated at Danfoss Power Electronics is presented. The results found were that defining a RM strategy proved to provide several benefits e.g. aligning and directing resources across business segments, enabling identification and assignment of roles related to requirement operations across functional areas and establishing a long term plan for how to achieve the identified future objectives.

Index Terms—Requirement management, operation-based strategy, strategic management.

Dagný Hauksdóttir is with the Engineering Design and Product Development, Technical University of Denmark (e-mail: dagha@dtu.dk).
Poul E. Nielsen is with Danfoss’ Power Electronics Division in Graasten, Denmark (e-mail: Poul_Erik_Nielsen@danfoss.com).

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Cite: Dagný Hauksdóttir and Poul E. Nielsen, "Requirement Management Strategy," International Journal of Machine Learning and Computing vol.4, no. 3, pp. 256-262, 2014.

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