PERENCANAAN PEMELIHARAAN
MESIN FILLING OTOMATIS
DENGAN MENGGUNAKAN METODE MARKOV CHAIN
DI PT.CIPTA PERKASA OLEINDO - SIDOARJO
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Institusion
Universitas Pembangunan Nasional Veteran Jawa Timur
Author
PARAMITA , WAHYU DEWANTI
Subject
TS192 Plant maintenance
Datestamp
2013-04-15 07:39:34
Abstract :
Smoothness and success of the production process is determined by the condition of production machinery and support equipment. The performance of a system or installation of production will decline operate in conditions after a certain period. This causes the engine stalled or broken often sudden and ultimately disrupted production processes that result in failure to achieve production targets. PT.Cipta Perkasa Oleindo-Sidoarjo engaged in the production of edible oils, has a problem in its Automatic Filling machine where damage often occurs due to less than optimal care. In addressing these issues the company needs to do an evaluation of engine maintenance activities, it is necessary for maintenance planning Automatic Filling machine, including control activities, repair and replacement of spare parts using the Markov Chain. Markov Chain is a technique for estimating the cost of future maintenance to a minimum so that the Steady State based on the probability of the transition probability matrix in the past, which is then used to plan Automatic Filling machine maintenance in the future. The results of the company is the maintenance cost of Rp. 54,819,529,- while the cost of maintenance after using the Markov Chain Rp. 38,519,061,-, resulting in a savings of Rp. 16,300,468,- or decreased by 29.73%. This proves that the method can provide a Markov Chain proposal Automatic Filling machine maintenance appropriate to the company because it can save the cost of maintenance. Preventive maintenance plan proposed Automatic Filling machine is preventative maintenance to component Nozle every 4 months, scroll every 2 months and components Head Capper done every 3 months. Keywords: Target, Optimal, Maintenance Planning, Markov Chain Method, Maintenance Costs
Smoothness and success of the production process is determined by the condition of production machinery and support equipment. The performance of a system or installation of production will decline operate in conditions after a certain period. This causes the engine stalled or broken often sudden and ultimately disrupted production processes that result in failure to achieve production targets. PT.Cipta Perkasa Oleindo-Sidoarjo engaged in the production of edible oils, has a problem in its Automatic Filling machine where damage often occurs due to less than optimal care. In addressing these issues the company needs to do an evaluation of engine maintenance activities, it is necessary for maintenance planning Automatic Filling machine, including control activities, repair and replacement of spare parts using the Markov Chain. Markov Chain is a technique for estimating the cost of future maintenance to a minimum so that the Steady State based on the probability of the transition probability matrix in the past, which is then used to plan Automatic Filling machine maintenance in the future. The results of the company is the maintenance cost of Rp. 54,819,529,- while the cost of maintenance after using the Markov Chain Rp. 38,519,061,-, resulting in a savings of Rp. 16,300,468,- or decreased by 29.73%. This proves that the method can provide a Markov Chain proposal Automatic Filling machine maintenance appropriate to the company because it can save the cost of maintenance. Preventive maintenance plan proposed Automatic Filling machine is preventative maintenance to component Nozle every 4 months, scroll every 2 months and components Head Capper done every 3 months. Keywords: Target, Optimal, Maintenance Planning, Markov Chain Method, Maintenance Costs
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