An analytical management framework for new product development processes featuring uncertain iterations

  • Authors:
  • Hilda C. MartíNez LeóN;Jennifer A. Farris;Geert Letens;Alberto Hernandez

  • Affiliations:
  • School of Business, Clarkson University, B.H. Snell Hall, Box 5790, Potsdam, NY 13699, USA;Industrial Engineering Department, Texas Tech University, Industrial Engineering Building, Box 43061, Lubbock, TX 79407, USA;Department of Economics, Management and Leadership, Royal Military Academy, Renaissancelaan 30, 1000 Brussels, Belgium;Department of Quality and Manufacturing Engineering, Tecnológico de Monterrey, Av. Garza Sada No. 2501 Sur, Monterrey NL 64849, Mexico

  • Venue:
  • Journal of Engineering and Technology Management
  • Year:
  • 2013

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Abstract

This paper presents an analytical framework for effective management of projects with uncertain iterations. The framework is based upon: (1) the combination of two complementary techniques, one focused on improving iterative process architectures, the Design Structure Matrix, and one focused on predicting project performance, the Graphical Evaluation Review Technique; and (2) the introduction of an activity set-based criticality measure. The intent of the framework is to help project managers and researchers identify and evaluate alternative process architectures, in order to help them determine the alternative which best balances risk and other project performance parameters, as illustrated through an example application.