INTEGRATED MODEL BETWEEN PRODUCTION SCHEDULING AND MAINTENANCE PLANNING FOR MINIMIZING TOTAL PRODUCTION COST
A manufacturing company is one company that often considers several techniques to improve the performance of the company such as production scheduling and machine maintenance policy planning. In general, production scheduling and maintenance planning in a manufacturing system are two interdependent...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/54144 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | A manufacturing company is one company that often considers several techniques to improve the performance of the company such as production scheduling and machine maintenance policy planning. In general, production scheduling and maintenance planning in a manufacturing system are two interdependent activities. Not being empowered simultaneously with production scheduling and maintenance planning will result in an uncertain production schedule coupled with uncertain machine conditions.
The optimization model with the mixed integer non-linear programming category is also designed as a performance criterion where the function of this optimization model is to calculate the total value of production costs consisting of production costs, maintenance costs and delay costs. A solution search algorithm is also needed to run the optimization model in this research where the algorithm used is based on genetic algorithms. The algorithm designed for this research is sequencing where the parameter to be used is the reliability threshold which can be used to determine the machine maintenance plan. After the machine maintenance plan is determined, production scheduling can then be searched so that delays can be minimized. From the results of this research, it is evident that the genetic algorithm can solve the problem of production scheduling and maintenance planning where the reliability threshold value is very influential on production scheduling if the value is changed. In addition, based on the objective function, the total cost of production can also be minimized.
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