Mississippi State University
Other Advisors or Committee Members
Ma, Jungfeng||Bian, Linkan||Pope-Ford, Regina||Keith, Jason M.
Date of Degree
Original embargo terms
Dissertation - Open Access
James Worth Bagley College of Engineering
Department of Industrial and Systems Engineering
The Focus of this mixed method research was the implementation of lean six sigma principles to improve productivity of outpatients’ programs where each case requires multiple scheduling, multiple visits to patients’ homes and multiple visits to the health department. The site is the Peoria City/County Health Department (PCCHD). The PCCHD is the delegate agency for Illinois Department of Public Health Childhood Lead Poisoning Prevention Program (EH). They are also a recipient of the Federal Lead-Based Paint Hazard Control (LHC) program from the Department of Housing and Urban Development (HUD). In line with their mission, they sought opportunities to review and streamline their lead abatement programs to improve productivity and effectiveness of service value offered to their recipients. This research analyzed the current state of lead abatement efforts in Peoria County and used lean six sigma methodologies to identify quantifiable opportunities to improve the effectiveness of PCCHD’s lead abatement efforts. Results show that through the use of lean six sigma methods, the lead time of the PCCHD lead abatement program Lead-Based Paint Hazard Control from the Department of Housing and Urban Development (HUD) was reduced by 30%. Secondly opportunities to eliminate duplication and omission of activities between lead abatement programs were identified and recommended. This research confirms that lean six sigma methods can also be applied successfully to more complex programs such as the lead abatement programs that require multiple scheduling, multiple visits to patients’ homes and multiple visits to the health department
Dede, Songo, "Improvement of lead abatement programs effectiveness in Peoria City/County Health Department using Lean Six Sigma methodologies" (2019). Theses and Dissertations MSU. 2647.