Open AccessPrediction System of Facility Maintenance using Weight Product (WP) Algorithm
Author(s) -
Sofika Enggari,
Larissa Navia Rani,
Hari Marfalino,
Deri Marse Putra
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1783/1/012030
Subject(s) - computer science , predictive maintenance , normalization (sociology) , reliability engineering , work (physics) , preventive maintenance , scheduling (production processes) , operations research , process (computing) , work order , operations management , engineering , mechanical engineering , sociology , anthropology , operating system
This study aims to create a decision support system in determining the priority of facilities maintenance work. The current priority system of maintenance work is based on various criteria with uncertainties that often results in work that is not completed or requires a long time to work on it. It happens because the scheduling of maintenance priorities is wrong. Therefore, it needs a method of selecting priority maintenance in order to get a more accurate decision. This decision system design uses the WP method to consider the maintenance department to determine the priority selection of facility maintenance. The basic concept of the WP method is the method of solving using multiplication to link the attribute rating, where the rating must be raised first with the weight of the attribute in question. This process is the same as the normalization process. Based on this study, the results were obtained in the form of a priority level of maintenance work quickly and precisely on target from the results of the assessment and calculation of the priority level of maintenance work. Thus, using this method can increase the accuracy by 80% in determining the priority of the facility maintenance that will be conducted.