Staff Hiring and Reassignment based on Resource-Constrained Project Scheduling

The implementation of a set of projects within an organization can be scheduled through a project scheduling procedure, that is based on the organizational resources available, such as the number of teams and team members, and the tasks that each team must perform. Nevertheless, hiring new personnel (staff hiring) and rearranging the members among the existing teams (staff reassignment) can lead to better scheduling solutions. This can potentially have a large financial impact for the organization, as it will reduce the projects’ implementation cost and will bring products earlier to market. To this end, this work presents different approaches to solve the resource-constrained project scheduling problem considering the reassignment of existing personnel as well as the hiring of new personnel. This is achieved by modifying a previously presented integer linear program (ILP) formulation to solve the aforementioned problem and considering different objectives and scenarios for staff hiring and reassignment. From the results obtained, it is evident that by using the developed ILPs, an organization can schedule its projects in a more time- and cost-efficient manner through the newly proposed recruitment and staff reassignment processes, compared to the benchmark approach that considers only existing personnel and team compositions.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3588234
Primary Topic
Resource-Constrained Project Scheduling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Staff Hiring and Reassignment based on Resource-Constrained Project Scheduling

Georgios Ellinas, Konstantinos Manousakis, Giannis Savva
IEEE Access
Resource-Constrained Project Scheduling
article

Staff Hiring and Reassignment based on Resource-Constrained Project Scheduling

Georgios Ellinas, Konstantinos Manousakis, Giannis Savva
article en

Abstract

The implementation of a set of projects within an organization can be scheduled through a project scheduling procedure, that is based on the organizational resources available, such as the number of teams and team members, and the tasks that each team must perform. Nevertheless, hiring new personnel (staff hiring) and rearranging the members among the existing teams (staff reassignment) can lead to better scheduling solutions. This can potentially have a large financial impact for the organization, as it will reduce the projects’ implementation cost and will bring products earlier to market. To this end, this work presents different approaches to solve the resource-constrained project scheduling problem considering the reassignment of existing personnel as well as the hiring of new personnel. This is achieved by modifying a previously presented integer linear program (ILP) formulation to solve the aforementioned problem and considering different objectives and scenarios for staff hiring and reassignment. From the results obtained, it is evident that by using the developed ILPs, an organization can schedule its projects in a more time- and cost-efficient manner through the newly proposed recruitment and staff reassignment processes, compared to the benchmark approach that considers only existing personnel and team compositions.

IEEE Access
University of Cyprus (CY)
Horizon 2020 Framework Programme
Openalex Percentile: Top 80%
Resource-Constrained Project Scheduling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Staff Hiring and Reassignment based on Resource-Constrained Project Scheduling — Georgios Ellinas, Konstantinos Manousakis, et al. · IEEE Access (2025) | TGRS Research Map | TGRS