DocumentCode
2326526
Title
A dynamic input-output work capacity model for a group of agents
Author
Gonzalez, Emmanuel A.
Author_Institution
Existing Installation Dept., Jardine Schindler Elevator Corp., Makati City, Philippines
fYear
2012
fDate
20-23 Aug. 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.
Keywords
linear algebra; software agents; agents; behavioral characteristics; dynamic input output work capacity model; engineering system; leadership skills; linear algebra; system theory concept; teamwork; Barium; Biological system modeling; Educational institutions; Equations; Mathematical model; Numerical models; Vectors; competency; discrete-time state space; systems theory; work capacity modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Teaching, Assessment and Learning for Engineering (TALE), 2012 IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4673-2417-5
Electronic_ISBN
978-1-4673-2416-8
Type
conf
DOI
10.1109/TALE.2012.6360396
Filename
6360396
Link To Document