P-graph approach to planning human resource expansion for universities in transition
Added Title
23rd International Congress of Chemical and Process Engineering (23rd : 2018)
CHISA 2018
Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (21st : 2018)
PRES 2018
College
Gokongwei College of Engineering
Department/Unit
Chemical Engineering
Document Type
Conference Proceeding
Source Title
23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018
Volume
2
First Page
1210
Publication Date
1-1-2018
Abstract
In the developing world, many universities are currently in the midst of transition from being purely teaching institutions focused on educational and degree-granting functions, towards becoming more research-intensive organizations that contribute new knowledge. Such transitions are usually hampered by difficulties associated with resource constraints, excessively bureaucratic support processes, and, most importantly, a staff profile inappropriate to the increased demands of research activities. Thus, systematic approaches for planning human resource expansion in such cases can facilitate such transitions. In this work, a P-graph approach is developed as a decision support model for planning staffing levels in universities that seek to expand research activities. Different staff categories are represented as process units in the P-graph model, while interactions among staff categories are modeled as process streams. This methodology is illustrated with a hypothetical but representative example of a typical Philippine university.
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Recommended Citation
Aviso, K. B., Demeterio, F. A., Lucas, R. G., & Tan, R. R. (2018). P-graph approach to planning human resource expansion for universities in transition. 23rd International Congress of Chemical and Process Engineering, CHISA 2018 and 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2018, 2, 1210. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/154
Disciplines
Engineering | Human Resources Management
Keywords
Manpower planning; Universities and colleges—Employees; Bipartite graphs
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