Title :
A Resource Planning Model for Professional Services Organizations
Author :
Goh, M. ; Balaji, K. ; DeSouza, R. ; Eck, B.T. ; Jianying Hu ; Ray, B.
Author_Institution :
Logistics Inst.-Asia Pacific, Nat. Univ. of Singapore
Abstract :
Professional services firms are project based. Execution of these projects involve identifying and planning for the right skills. In this paper, we model the problem of predicting the skills requirement for the projects in the pipeline of a professional services firm from the bill of resources of some similar projects that had been executed in the past by the firm. This tactical decision problem is modeled as a graph clustering problem by representing the projects as nodes of the graph. Agglomerative clustering heuristic is applied for optimally clustering the nodes of the graph. The proposed model is analyzed for a simple case in which there are five projects in the history of a professional services firm.
Keywords :
decision making; enterprise resource planning; graph theory; organisational aspects; professional aspects; project management; resource allocation; service industries; statistical analysis; agglomerative clustering heuristic; bill of resources; graph clustering problem; professional services organizations; project management; resource planning model; skills requirement; tactical decision problem; Business; Companies; Cost function; Design engineering; Engineering management; Manufacturing automation; Manufacturing industries; Pipelines; Supply chain management; Supply chains;
Conference_Titel :
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0310-3
DOI :
10.1109/COASE.2006.326956
