A dynamic input-output work capacity model for a group of agents
College
College of Computer Studies
Department/Unit
Computer Science
Document Type
Conference Proceeding
Source Title
Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2012
Publication Date
12-28-2012
Abstract
Work capacity models are very important tool in profiling a person against a defined set of competencies usually related to knowledge and skills, and the person's physical and behavioral characteristics and constraints. In the case of an engineering student, for example, these set of competencies may be defined by a mentor or adviser such as, but are not limited to: knowledge on certain theoretical and practical aspects, skills in analyzing and designing engineering systems, leadership skills, and team-work, for example. Physical and behavioral characteristics, on the other hand, would depend on the person being assessed and various methods are also available in literature. However, work capacity models available in literature suffer from various drawbacks such as: 1) they do not reflect the fact that work capacity vary with time and external conditions; and 2) work capacity models are usually used to describe a single agent and not on a group of agents. In order to be able to include these drawbacks and convert them as added features, a dynamic input-output model describing the work capacity of a group of agents is devised using simple linear algebra and system theory concepts. We show that such models could be utilized in the academe in assessing the net work capacity (NWC) of a group of student working on a thesis topic, or even in the industry in assessing the NWC of a certain group of employees in a department, for example. © 2012 IEEE.
html
Digitial Object Identifier (DOI)
10.1109/TALE.2012.6360396
Recommended Citation
Gonzalez, E. A. (2012). A dynamic input-output work capacity model for a group of agents. Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2012 https://doi.org/10.1109/TALE.2012.6360396
Disciplines
Computer Sciences | Engineering
Keywords
Work capacity evaluation; Core competencies
Upload File
wf_no