UROP Project

Competency-based resource allocation in multi-project environments

Contact

Name

Daniel Holder

Program Director UROP

Telephone

workPhone
+49 241 80-90695

E-Mail

Key Info

Basic Information

Project Offer-Number:
1193
Category:
UROP International
Field:
Mechanical Engineering
Faculty:
4
Organisation unit:
Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University
Language Skills:
Fluency in Englisch or German
Computer Skills:
Phython programming is beneficial

MoveOn

In recent years, companies have carried out an increasing proportion of their development activities in the form of projects, resulting in more projects being processed simultaneously. However, many projects are failing to meet their time and cost goals. The increasing number of projects, as well as the VUCA-environment, made multi-project management more complex and challenging than before. Many projects have to be scheduled and human resources have to be allocated while avoiding resource conflicts. Therefore, a core discipline in multi-project management is resource allocation and project scheduling. Poor resource management leads to delays and missed project goals, especially in complex multi-project environments. The aim is to develop a methodology that improves resource allocation in multi-project management based on an optimization algorithm that automatically creates project schedules.

Task

- Familiarization with existing approaches to resource allocation and optimization in the context of project schedules - Elaboration and description of the methodology for a competency-based resource allocation in multi-project environments. - Development of an optimization model for resource allocation in multi-project environments - Exemplary verification of the algorithm's functional

Requirements

- Willingness to learn how to program optimization problems with Phython - Interest in the field of project management - Systematic and scientific way of working