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Rasaei, H., Faroughi, H. (2023). Investigating the Effect of Different Failure Mechanisms of Manufacturing Processes in Model Integration Maintenance and Repairs and Statistical Process Control by Design of Experiment. Comparative Linguistic Research, 11(22), 125-137. doi: 10.22084/ier.2023.27913.2130
Hassan Rasaei; Hiva Faroughi. "Investigating the Effect of Different Failure Mechanisms of Manufacturing Processes in Model Integration Maintenance and Repairs and Statistical Process Control by Design of Experiment". Comparative Linguistic Research, 11, 22, 2023, 125-137. doi: 10.22084/ier.2023.27913.2130
Rasaei, H., Faroughi, H. (2023). 'Investigating the Effect of Different Failure Mechanisms of Manufacturing Processes in Model Integration Maintenance and Repairs and Statistical Process Control by Design of Experiment', Comparative Linguistic Research, 11(22), pp. 125-137. doi: 10.22084/ier.2023.27913.2130
Rasaei, H., Faroughi, H. Investigating the Effect of Different Failure Mechanisms of Manufacturing Processes in Model Integration Maintenance and Repairs and Statistical Process Control by Design of Experiment. Comparative Linguistic Research, 2023; 11(22): 125-137. doi: 10.22084/ier.2023.27913.2130

Investigating the Effect of Different Failure Mechanisms of Manufacturing Processes in Model Integration Maintenance and Repairs and Statistical Process Control by Design of Experiment

نشریه پژوهش های مهندسی صنایع در سیستم های تولید
Article 9, Volume 11, Issue 22, September 2023, Pages 125-137    PDF (695.37 K)
Document Type: Research Paper
DOI: 10.22084/ier.2023.27913.2130
Authors
Hassan Rasaei* 1; Hiva Faroughi2
1Assistant Professor, Industrial Engineering Department, Faculty of Engineering Management, Kermanshah University of Technology, Kermanshah, Iran
2Professor of Industrial Engineering Department, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran
Abstract
Both in the academic environment and in the realm of operation, it has been shown that there is a close relationship between product quality and maintenance of equipment. Thus, coordination of the decisions associated with maintenance and quality can lead to decrease in operational costs of a production system and improve the overall productivity. To coordinate the decisions related to maintenance and statistical process control, this thesis develops integrated mathematical models. The system performance is compared in two states: (1) while there is a coordination between the decisions of maintenance and SPC, (2) while the decisions of maintenance and SPC are conducted separately, and indeed, there is no coordination between SPC and maintenance. To determine the system performance in state 1, an integrated model of SPC and maintenance is developed. Optimization of the integrated model determines the value of ECT in state 1. To determine the system performance in the uncoordinated state,i.e., state 2, the following steps are performed: (1) a stand-alone model of maintenance is proposed, (2) a stand-alone model of SPC is developed, (3) according to the results of optimization of step 1 and 2, the value of ECT in the uncoordinated state is computed. Finally, comparison of the values of ECT in the coordinated state and uncoordinated state clarifies that, due to the performance of the integrated model, how much saving in operational cost is obtained. For the systems investigated in the thesis, using factorial designs, the effect of the system parameters on the decision variables and the objective function is analyzed. Also, it is investigated that, with respect to the operational costs, what circumstances are more suitable for implementing the integrated models of SPC and maintenance. According to the results of the study, integration of the decisions associated with maintenance and SPC leads to a better performance. The amount of saving obtained from the coordination is significant for the different production systems.
Keywords
Failure Mechanism; Integrated Model; Design of Experiment; Maintenance
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