PMID- 37662808
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230905
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 9
DP  - 2023 Sep
TI  - Using the deterministic approach model for project portfolio selection problem 
      (PPSP) solutions.
PG  - e19129
LID - 10.1016/j.heliyon.2023.e19129 [doi]
LID - e19129
AB  - Selection of projects using a robust technique is rare as most of the techniques 
      are not considered useful due to the limitation on the number of projects that 
      can be selected as well as cost saving projects not being selected. This study 
      investigated the validity of a hybrid model - integrated analytical hierarchy 
      process-goal programming (AHP-GP) - to avoid project portfolio selection problems 
      delaying community development. The proposed model includes two steps: AHP to 
      determine the project criteria, the relative importance of weights, and priority 
      preferences, while the GP model was formulated to select the optimal projects. An 
      empirical study on government agencies was carried out to validate the proposed 
      model, and the results compared against GP as a standalone to solve the same 
      problem. The results proved that the hybrid model (AHP-GP) was better than the GP 
      model. AHP-GP has proved to be a robust mechanism most suitable for managerial 
      use due to its ability to handle multi-criteria decision-making (MCDM) 
      situations. This study showed that the hybrid model can select more projects and 
      will create more jobs in the communities concerned compared to the single model 
      (GP). The novelty of this study is the introduction of an integrated model formed 
      from two distinct models as a deterministic approach to solving project portfolio 
      selection problems.
CI  - (c) 2023 The Authors.
FAU - Mogbojuri, A O
AU  - Mogbojuri AO
AD  - Durban University of Technology, Department of Industrial Engineering, Durban, 
      South Africa.
FAU - Olanrewaju, O A
AU  - Olanrewaju OA
AD  - Durban University of Technology, Department of Industrial Engineering, Durban, 
      South Africa.
LA  - eng
PT  - Journal Article
DEP - 20230819
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10474411
OTO - NOTNLM
OT  - Analytic hierarchy process
OT  - Community benefits
OT  - Goal programming
OT  - Multi-criteria decision making
OT  - Project portfolio selection problem
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2023/09/04 06:43
MHDA- 2023/09/04 06:44
PMCR- 2023/08/19
CRDT- 2023/09/04 04:49
PHST- 2023/01/13 00:00 [received]
PHST- 2023/07/22 00:00 [revised]
PHST- 2023/08/13 00:00 [accepted]
PHST- 2023/09/04 06:44 [medline]
PHST- 2023/09/04 06:43 [pubmed]
PHST- 2023/09/04 04:49 [entrez]
PHST- 2023/08/19 00:00 [pmc-release]
AID - S2405-8440(23)06337-5 [pii]
AID - e19129 [pii]
AID - 10.1016/j.heliyon.2023.e19129 [doi]
PST - epublish
SO  - Heliyon. 2023 Aug 19;9(9):e19129. doi: 10.1016/j.heliyon.2023.e19129. eCollection 
      2023 Sep.