Presenting a multivariate model of the effect of maintenance and repairs on production quality in pharmaceutical industry processes using the Bayesian approach
Volume 13, Issue 4, Winter 2024, Pages 335-354
https://doi.org/10.48313/jqem.2024.210887
Farshid mashayekh, Amir Azizi, Esmaiel Mehdizadeh, Mehdi Yazdani
Abstract This paper aims to develop a comprehensive model for the synergy of quality, sustainability, and agility in drug production systems. This model seeks to use data collected by automated inspection systems to improve product quality, plan preventive maintenance, and optimize production planning. Reviewing the literature on quality management, sustainability, and agility in production, an integrated model of quality, maintenance, and production (IQMP) was designed and developed using Bayesian approaches. The results show that the model can effectively improve product quality, and increase production stability and system agility against environmental changes and fluctuations. Using online inspection data in this model significantly increases its accuracy and efficiency in decisions related to quality, maintenance, and production planning. In addition to helping to improve the efficiency of production systems, this model can be used as a strategic tool for production and maintenance managers. By implementing this model in real conditions, companies can take advantage of the data collected by automatic inspection systems and make more detailed plans for maintenance and quality control.