Lee, Yong Sheng (2019) Selection Of Best Plant Maintenance Strategy Using Analytic Hierarchy Process(AHP), TOPSIS-AHP And Fuzzy-AHP. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Abstract
The objective of this project is to select the best plant maintenance strategy in wire manufacturing industry. The suitability of plant maintenance strategy will directly impact on the overall production cost. In order to select the best plant maintenance strategy is a complex engineering problem. So, Multi-criteria Decision Making(MCDM) tool is required. There are several popular MCDM tools such as Analytic Hierarchy Process(AHP) and Fuzzy-AHP. According to Ayhan (2013), the uncertainties and vagueness of judgements in criteria’s performance in traditional AHP can be reduced using Fuzzy-AHP. In this project, four Multicriteria Decision Making(MCDM) methods have been applied to select the best plant maintenance strategy in wire manufacturing industry, which are Analytic Hierarchy Process(AHP), Trapezoidal Fuzzy-AHP, Triangular Fuzzy AHP and Technique for Order Preferences by Similarity to Ideal Solution with AHP(TOPSIS-AHP). The maintenance strategies that were included in the selection are Corrective Maintenance(CM), Predictive Maintenance(PDM) and Condition-based Maintenance(CBM). It is found that all the four methods showed consistent selection whereby Condition-based Maintenance(CBM) is selected as the best plant maintenance strategy in wire manufacturing industry. The conclusion also has been made from the project and the final selection of best plant maintenance strategy is justified. Several suggestions and recommendations for future study also included in this project for improvement.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Plant maintenance, Total productive maintenance, Cost control |
| Subjects: | T Technology > TS Manufactures |
| Divisions: | Library > Final Year Project > FKP |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 10 Mar 2021 08:22 |
| Last Modified: | 15 Dec 2023 02:46 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/24979 |
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