Six Sigma is used heavily in various industrial sectors, yet no noticeable applications are seen in healthcare logistics. This paper reveals the special case of healthcare logistics where cost reduction is not the only factor considered in project selection; performance and criticality of each item in the logistics system are of high importance as well. This paper provides a proposed framework to apply Six Sigma in the area of healthcare logistics. It also presents a case study implementing the proposed framework at a Jordanian hospital. In the case study, the paper reveals how the modifications of the define phase to take into consideration the criticality, cost, and performance of items make typical Six Sigma methodology very beneficial for healthcare logistics. In addition, it shows how the Six Sigma project selection can be done to deal effectively with healthcare logistics issues. This paper paves the road for research to elaborate on ways to use Six Sigma in the area of improving healthcare logistics.

Spare parts are very essential in most industrial companies. They are characterized by their large number and their high impact on the companies' operations whenever needed. Therefore companies tend to analyze their spare parts demand and try to estimate their future consumption. Nevertheless, they face difficulties in figuring out an optimal forecasting method that deals with the lumpy and intermittent demand of spare parts. In this paper, we performed a comparison between five forecasting methods based on three statistical tools; Mean squared error (MSE), mean absolute deviation (MAD) and mean error (ME), where the results showed close performance for all the methods associated with their optimal parameters and the frequency of the spare part demand. Therefore, we proposed to compare all the methods based on the tracking signal with the objective of minimizing the average number of out of controls. This approach was tested in a comparative study at a local paper mill company. Our findings showed that the application of the tracking signal approach helps companies to better select the optimal forecasting method and reduce forecast errors.

Purpose The purpose of this paper is to present the process followed to control records in a Jordanian private community hospital as an ISO 9001:2008 standard requirement. Design/methodology/approach Under the hospital quality council's supervision, the quality management and development office staff were responsible for designing, planning and implementing the quality management system (QMS) using the ISO 9001:2008 standard. A policy for records control was established. An action plan for establishing the records control was developed and implemented. On completion, a coding system for records was specified to be used by hospital staff. Finally, an internal audit was performed to verify conformity to the ISO 9001:2008 standard requirements. Findings Successful certification by a neutral body ascertained that the hospital's QMS conformed to the ISO 9001:2008 requirements. A framework was developed that describes the records controlling process, which can be used by staff in any healthcare organization wanting to achieve ISO 9001:2008 accreditation. Originality/value Given the increased interest among healthcare organizations to achieve the ISO 9001 certification, the proposed framework for establishing records control is developed and is expected to be a valuable management tool to improve and sustain healthcare quality.

No abstract

No abstract

No abstract

In order to provide an integrated approach to improve healthcare logistics. This paper integrated the analysis of logistics decisions made at the three hierarchical levels with the problem analysis and improvement suggestions. Following a thorough analysis of the problematic logistics decisions, alternative decisions were suggested to improve the current logistics system. The proposed forecasting technique is expected to reduce the average error in forecasting as a percent of average demand from 30.3% to 22.5%. The proposed methodology provides a new structured problem-analysis and problem-solving processes for healthcare logistics and it is expected to be a valuable management tool to improve the quality of patient care.