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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.
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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 |
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