Increasing global competition has made many business leaders and policyrnmakers turn their attention to such critical issues as productivity and quality.rnBusinesses seek new approaches to production processes and manufacturingrntechniques and explore new boundaries of technology. One of the frequentlyrnprescribed remedies for the problem of decreased productivity and decliningrnquality is the automation of factories. To achieve strategic benefits of automationrnin line with improved quality, greater flexibility, and cost reduction, firms mustrncarefully manage the implementation of their techniques.rnIn the light of the above, because of capital intensive and complex nature ofrnautomated manufacturing system (AMS), the design and operation of thesernsystems require modeling and analysis in order to select the optimal designrnalternative and operational policy. Besides, errors in the modeling process canrnsubstantially contribute to the development time and cost. Therefore, specialrnattention should be paid to the correctness of the models that are used at allrnplanning levels. Petri nets as a graphical and mathematical tool provide a uniformrnenvironment for modeling, formal analysis and design of manufacturing systems.rnThis study therefore, focuses on both traditional analysis of manufacturingrnsystem after setting key performance factors and the application of Petri nets inrnmodeling and analysis of an AMS. It also includes a comprehensive review ofrnxvirnPetri nets and manufacturing system in view of Petri nets application domain. ithrnthe view to give more emphasis in the practical and realistic industrial applicationrnof Petri nets, particularly in modeling and analysis of AMS, a case study on anrnexisting manufacturing firm was carried. In this regard, Meta Abo Brewery S. Corn(MABSCo) is believed to serve as a model.rnAbove all, the success of Petri nets and related technologies can be greatlyrnachieved only when more industrial engineers and designers use them togetherrnwith other techniques in system development and operation. The author, beingrnan industrial engineer, develop the sample model attributed to the bottling line ofrnMABSCo through a careful study of relevant literatures, systematic datarncollection, and after systematic survey of the plant, particularly the bottling line.rnFurther research in the future that includes other classes of Petri nets is alsornproposed to make the study more complete.