Abstract
In this paper, a multi-agent model is proposed for considering the human resources factor in decision making in relation to the six sigma project. The proposed multi-agent system is expected to increase the acccuracy of project prioritization and to stabilize the human resources service level. A simulation of the proposed multi-agent model is conducted. The results show that a multi-agent model which takes into consideration human resources when making decisions about project selection and project team formation is important in enabling efficient and effective project management. The multi-agent modeling approach provides an alternative approach for improving communication and the autonomy of six sigma projects in business organizations.
Highlights
Six sigma is a powerful philosophy that aims at improving the quality of an organization’s performance, and focusses on identifying and quantifying errors in business processes
This dataset captures the statistical value of the number of projects in human resources agent, i.e. the number of projects that can start with the required number of green belt agents and suitable black belt agent
At time period 4, a six sigma project is initiated by project agent, human resources agent starts the green belt/ black belt recruiting processes simultaneously, and as some of the agents are being recruited for the project, as shown in Fig. 7(c), the number of working green belt/ black belt agents increases
Summary
Six sigma is a powerful philosophy that aims at improving the quality of an organization’s performance, and focusses on identifying and quantifying errors in business processes. This paper is an attempt to further improve the project selection and project team formation processes, in the six sigma projects, by considering human resources factors. This will increase the success of project management. We propose a multi-agent model for considering human resources factors in the six sigma project selection process. With the multi-agent model, human resources are involved in the decision making in connection with the six sigma project selection process. The structure of this paper is as follows: In section 2, the proposed multi-agent model for the six sigma project selection with its four agents, i.e. project agent, human resources agent, green belt/ black belt agent is defined and modeled.
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