MBA, Tabuk pharmaceuticals, Saudi Arabia
*Corresponding author: Ahmed Assem, MBA, Tabuk pharmaceuticals, Saudi Arabia, Email: firstname.lastname@example.org
Submission: January 16, 2018;Published: April 06, 2018
ISSN: 2578-0190 Volume1 Issue3
This article will address a model for implementation of quality risk management for the manufacturing of a non-sterile product through a real case. The risk addressed in the article is the microbiological contamination and the procedure followed was Failure Mode Effect Analysis (FMEA) mainly. It can be used by pharmaceutical scientist to evaluate the possible causes of microbiological contamination of their products and will show how to evaluate the risks and describe a monitoring plan based on the associated risks
Keywords: Pharmaceutical microbiology; Quality risk management; Pharmaceutical manufacturing; Microbial contamination
The holder of a manufacturing authorisation must manufacture medicinal products so as to ensure that they are fit for their intended use, comply with the requirements of the Marketing Authorisation and do not place patients at risk due to inadequate safety, quality or efficacy . As Per ICH Q9, Quality Risk Management, “Risk management is the systematic application of quality management policies, procedures, and practices to the tasks of assessing, controlling, communicating and reviewing risk .
To protect patients in terms of quality, safety and efficacy of medicines, international medicines regulatory authorities (MRAs) are recommending pharmaceutical manufacturers to adopt a riskbased approach to the life-cycle of a pharmaceutical product . The quality risk management system should ensure that . The evaluation of the risk to quality is based on scientific knowledge, experience with the process and ultimately links to the protection of the patient; the level of effort, formality and documentation of the quality risk management process is commensurate with the level of risk.
The following procedure will be used to perform the risk assessment (the risk addressed is the microbial contamination of a non-sterile product).
The team should be composed of to reflect all function that could have a decision influence on quality or complianceThe team will include product-specific knowledge and expertise The team will include:
One of the most common used methods is Fish –bone diagram which summaries all critical influencing variables on the product quality [6,7]; (Figure 2).
Figure 2: Cause & Effect Diagram.
Vilfredo Pareto was an Italian economist who lived from 1848to 1923. His study of the wealth distribution in the Italian economy yielded a key finding that 80% of the land was owned by 20% of the population. Since then, his discovery what we call the Pareto principle has been found to hold true in many other situations. For problem solvers, the simple Pareto principle provides a powerful root cause analysis (RCA) tool to separate the vital few factors from the trivial many determining risk ranking for Raw materials & Primary Packaging materials using the Pareto Chart.Risk assessment using FMEA [8,9]
Table 1: The Product.
Table 2: The following table showing scoring policy.
Table 3: The following table showing Ranking policy.
Table 4: Risk Assessment for Raw Materials & Packaging Material.
Table 5: Risk Assessment of different processes.
Table 6: Risk Assessment of different Utilities, Equipments and machines.
Table 7: Risk Assessment of different premises.
Figure 3: Determining Risk Ranking for different Processes using the Pareto Chart.
Vilfredo Pareto was an Italian economist who lived from 1848 to 1923. His study of the wealth distribution in the Italian economy yielded a key finding that 80% of the land was owned by 20% of the population. Since then, his discovery what we call the Pareto principle has been found to hold true in many other situations. For problem solvers, the simple Pareto principle provides a powerful root cause analysis (RCA) tool to separate the vital few factors from the trivial many . Determining Risk Ranking for Raw materials & Primary Packaging materials using the Pareto Chart [11,12]; (Figure 3).
Using the QRM the following monitoring plan was developed which can be considered an effective monitoring plan. The developed plan is highly effective as it will monitor the most critical factors that may cause microbial contamination in a non-sterile product and it found to be a cost effective plan as it will eliminate monitoring the factors that will not affect the product quality (Table 8).
© 2018 Ahmed Assem. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.