In response to today's highly competitive business environment, companies are forced to analyzernand improve their existing manufacturing system continuously to minimize production lossesrndue to production disturbances that hinder the system efficiency, performance and reducernprofitability. The major problems of the case production line are related with low throughput,rnhigh inefficiency losses, and higher raw material cost etc. As a result, over all equipmentrnefficiency of the production line is blow target (management plan) and it was challenged tornfulfilling the expected production plan (volume). Therefore, the purposes of this study are tornevaluate line efficiency and improve performance of the bottling production line. rn Researches in relation to production line, productivity, efficiency losses, OEE analysis,rnimprovement, simulation modelling has been reviewed, primary and secondary data have beenrncollected from the case company through direct observations, check sheets. Also, different toolsrnsuch as OEE, Pareto chart, fish bone diagram, Arena simulation has been utilized, and root causernanalysis, brainstorming sessions has been conducted in analysis and improvement process. rnEfficiency analysis of line is has been done using OEE, as a result the disturbances that resultsrnproduction losses are studied, major efficiency losses are identified, focus of improvement areasrnwith associated challenges and their root causes has been investigated, then corrective actions,rncounter measures and action plans has been suggested as strategy for improvements. Also, modelrnof the real production line has been developed Using Arena software, and validated. Afterrnanalyzing the production line model, line behavior, disturbances, efficiency losses under varyingrnset of circumstances were studied and performance measures quantified. Also, a number ofrnproblems including; short stops, starvation and blockage were identified as problems. Then a set rnof changes and modifications on the actual system simulation model has been suggested. rnFinally, an improved model was proposed where line availability and performance can bernenhanced by 11%, line OEE increased by 21.4% and raw material loss and cost reduced.rnTherefore, the achieved results in the proposed model can be easily adapted after similar studiesrnand the company's targets can be achieved and profitability, competitiveness can be improvedrnsignificantly.