Abstract
Buildings and machinery in brewery industries in Tanzania work effectively and efficiently when the conflicts between energy performance and maintenance are balanced, and in order to attain optimal energy performance, proper maintenance is required. Although many of the brewery industries in Tanzania have implemented and adopted preventive maintenance practices, there has been a rise in utility costs because of excessive energy consumption, particularly in gas (m3) and electricity (KWh), which is directly tied to maintenance practices. This study was conducted with the intention of identifying the factors affecting the maintenance management system, which will improve energy efficiency at breweries in Tanzania. The study adopted a qualitative approach for data collection and a quantitative approach for quantifying the problem. The literature review, fishbone diagram, questionnaires, field measurements, inspections, and observations were all part of the research methodology. Through a questionnaire submitted to 40 respondents, 38 questionnaires received and analyzed. Analysis employed to determine and identify factors (variables) that contribute to the dependent variable as well as decide which ones to keep in consideration of their contributions, and these carried out using the IBM SPSS Statistics Version 26 package. Factors with the highest RII were termed as significant factors affecting the maintenance management system that improves energy efficiency at Brewery Industries in Tanzania. Lack of energy expertise and skills, condition monitoring technologies, lack of energy audits, and skipping of maintenance were termed as significant factors, having Relative Importance Index (RII) of 0.84, 0.81, 0.77, and 0.75 respectively. If those factors are eliminated, maintenance management and energy efficiency in breweries is improved. The identified factors were used to develop Maintenance Management Model for brewery Industries in Tanzania, where multiple regression and stepwise method were used to develop the model. Maintenance factors affecting energy efficiency improved by increasing energy expertise, implementing condition monitoring technologies, reducing skipping of maintenance, and performing energy audits by 0.219, 0.257, -0.114, and 0.201, respectively. According to the findings, it is recommended that industries ensure that employees have adequate training in energy management techniques, advance monitoring technology, have a plan in place for conducting energy audits at least twice a year, and ensure that preventative maintenance is not neglected.