One of the major determinants that enable manufacturing organizations to compete in the global market is improving productivity. Total productive maintenance (TPM) is a maintenance program which exists from different types of productivity improvements; it is a newdefined concept for maintaining plants and equipment. Today’s industries require excellent TPM practices to increase machine availability for production by reducing machine downtime and increase manufacturing performance with decreasing production cost and products with desired quality and quantity. Total productive maintenance is a tactic to improve maintenance downtime activities with the aim in improving equipment effectiveness by employee participation from top management up to shop floor workers. This thesis provides useful insight for developing a TPM model to improve performances in Repi Wilmar soaps and detergent PLC. The study is a case study and used as structured interviews, physical observation in site and collecting data and analyzing the collected data, a survey questionaries’ were distributed for 36 employees of the factory with the resulting response rate is 98% using descriptive statistics tools, validating the data by using Cronbach alpha. We also doing interviews questionaries’ for the workers and their responses and answers are considered. Factory overall performance also evaluated using collected downtime data and questionaries’ from respondent. In this research we found that the OEE and performance of the company is less than 60% we found (13-57%) for each three years for each plant which is not acceptable when compared with the world class OEE. In the study findings maintenance downtime is the main reasons to decreasing its production performance. Selecting the appropriate TPM pillars by measuring the factory performance measures and using analytical hierarchy decision making or problem-solving methods in order to select TPM pillars like Autonomous maintenance, planned maintenance, Training and Education, as well as Kaizen or focus improvement TPM pillars in order to improve productivity for the case study company. vii The company does not have strong maintenance wing to solve unplanned breakdowns due to these repetitive failures will stopping production as we see from cause and effect diagrams in this research. Operators are not performing any maintenance activity and there is no sense of ownership of their operating machines also greater contribution of downtime as per our research study. In this thesis we study the factory performance measurers availability, delivery, flexibility and OEE and relate them to the TPM pillars including the questionaries’ and site visiting feedback to making TPM pillars selections using analytical hierarchy decision making tools. Using this tool from the 8Pillars of TPM we select the Autonomous maintenance, focus improvement, planned maintenance, training and education pillars are selected pillars the developed framework is used to show how to implement it to the case study company to improve his performance. Key words: Total productive maintenance, Overall equipment effectiveness, Availability, Autonomous maintenance, up time. Analytical hierarchy decision making method