Date of Award

7-7-2020

Publication Type

Doctoral Thesis

Degree Name

Ph.D.

Department

Industrial and Manufacturing Systems Engineering

First Advisor

Walid Abdul-Kader

Keywords

overall equipment effectiveness, principal component analysis, Total productive maintenance

Rights

info:eu-repo/semantics/embargoedAccess

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Maintenance strategies play a crucial role in achieving organizations’ goals and abilities to reach their profit targets and survive in the competitive global marketplace and changing economies. Total productive maintenance (TPM) is one of the lean manufacturing approaches that help to improve equipment performance by increasing production rate and equipment availability and enhancing the overall productivity of manufacturing. Implementing the eight pillars of TPM involves many challenges and difficulties, and it is difficult for small to medium enterprises (SMEs) in Canada to successfully implement TPM. The main objective of this study is to determine whether the Short-Term TPM (STTPM), based on Autonomous Maintenance and Planned Maintenance pillars and 5S technique can minimize losses in a production process and have a positive impact on manufacturing performance (MP). Furthermore, this study is to facilitate successful TPM implementation using the Short-Term TPM (STTPM) approach. Therefore, this research is to develop an implementation framework for the introduction of the TPM improvement approach into SMEs. The framework’s fundamentals are STTPM team commitment and involvement, training, member involvement, and culture change. Overall line effectiveness (OLE) should be calculated based on the overall equipment effectiveness (OEE) metrics. The OLE was analyzed for different production line configurations and the multivariate consideration of quality rate through principal component analysis (PCA). Daily data from production lines was collected from a real manufacturing environment. A paired t-test was conducted to compare a production rate (P_r R), equipment availability (EV), and cycle time (CT) before and after STTPM implementation for each production line. The study was performed using Minitab 19 software to identify the effect of STTPM on MP. The result shows that P_r R, EV, and CT had significant differences before and after the implementation of STTPM in the production line. Similarly, the OEE was significantly different before and after the implementation of STTPM in the production line. This study will also make a meaningful contribution to the related scholarly literature in the form of a novel model of TPM implementation, mainly among Canada’s SMEs.

Available for download on Sunday, January 03, 2021

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