Expanded models of the project portfolio selection problem with learning effect. Issue 3 (24th June 2019)

• Record Type: Journal Article
• Authors: Wang, Li; Li, Xingmei; Zhao, Lu; Liu, Zailing
• Is Part Of: CAAI transactions on intelligence technology. Volume 4:Issue 3(2019)
• Page Start: 142
• Page End: 147
• Publication Date: 2019-06-24
• Subjects: investment; candidate projects -- multiple repetitive units -- project portfolio selection problem -- expanded models -- learning effect -- mathematical representations -- learning experience -- investment cost; C1290D Systems theory applications in economics and business; Artificial intelligence -- Periodicals; Computer science -- Periodicals; Artificial intelligence; Computer science; Electronic journals; Periodicals; 006.305
• DOI: 10.1049/trit.2019.0015
• Languages: English
• ISSNs: 2468-6557

Abstract

Abstract : This research develops two new models for project portfolio selection, in which the candidate projects are composed of multiple repetitive units. To reflect some real situations, the learning effect is considered in the project portfolio selection problem for the first time. The mathematical representations of the relationship between learning experience and investment cost are provided. One numerical example under different scenarios is demonstrated and the impact of considering learning effect is then discussed.