Title :
PLM software selection model for project management using hierarchical decision modeling with criteria from PMBOK knowledge areas
Author :
Eastham, James ; Tucker, David ; Varma, Sumir ; Sutton, Scott
Author_Institution :
Dept. of Eng. & Technol. Manage., Portland State Univ., Portland, OR, USA
fDate :
July 28 2013-Aug. 1 2013
Abstract :
This paper presents a methodology for product lifecycle management (plm) software selection utilizing the nine knowledge areas of the project management body of knowledge (pmbok). The methodology utilizes a five process gate approach where the plm offerings are researched, sorted, paired down, evaluated, and implemented. The primary decision model utilizes hierarchical decision modeling (hdm). Prioritizations are assigned to the pmbok knowledge areas utilizing a pair-wise comparison survey and then assessed across the different plm system offerings. The proposed decision methodology is meant to serve only as a guide to assist with selection of plm software from a project management perspective. To validate the model, several case studies are presented that apply the selection methodology to different industries: semiconductor, information technology (it), and automotive supply.
Keywords :
decision theory; product life cycle management; project management; software development management; HDM; PLM software selection model; PMBOK knowledge areas; automotive supply; hierarchical decision modeling; information technology; pair-wise comparison survey; process gate approach; product lifecycle management; project management body of knowledge; semiconductor industry; Companies; Industries; Logic gates; Project management; Software; Technology management;
Conference_Titel :
Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
Conference_Location :
San Jose, CA