Preventive maintenance model for heating ventilation air conditioning in pharmacy manufacturing sector
International Journal of System Assurance Engineering and Management, 2020•Springer
One of the most important factors for the success of maintenance system in heating,
ventilation, and air conditioning (HVAC) implementation is satisfaction rate of preventive
maintenance. However, there is only few research available regarding the factors influence
in the success of maintenance system in manufacturing facilities, including HVAC. The study
unearths the complexity link by using the Preventive Maintenance Satisfaction Model,
specifically constructed for this study by combining four external factors and two internal …
ventilation, and air conditioning (HVAC) implementation is satisfaction rate of preventive
maintenance. However, there is only few research available regarding the factors influence
in the success of maintenance system in manufacturing facilities, including HVAC. The study
unearths the complexity link by using the Preventive Maintenance Satisfaction Model,
specifically constructed for this study by combining four external factors and two internal …
Abstract
One of the most important factors for the success of maintenance system in heating, ventilation, and air conditioning (HVAC) implementation is satisfaction rate of preventive maintenance. However, there is only few research available regarding the factors influence in the success of maintenance system in manufacturing facilities, including HVAC. The study unearths the complexity link by using the Preventive Maintenance Satisfaction Model, specifically constructed for this study by combining four external factors and two internal factors to evaluate the implementation of the preventive maintenance system in the pharmacy manufacturing industries. The Indonesia pharmacy manufacturing is selected as a case study. The Structural Equation Modeling approach is applied in the analysis phase. Four factors are explored in this evaluation, tools, duration, rate of skill competency, and rate of machine complexity. The analysis results indicated that all factors positively influenced the rate of preventive maintenance satisfaction through facilitating conditions (β = 0.566, p < 0.001). The significant contribution of this research is to develop methodologically factors of the satisfaction rate of preventive maintenance in terms of HVAC maintenance system in manufacturing, supporting company sustainability programs. This study gives valuable insights to decision-makers involved in the implementation and development of maintenance system.
Springer
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