{"title":"Developing Quantitative Methods for Quality and Maintenance Management in Micro-Electromechanical Systems","authors":"","doi":"10.55057/ijarti.2023.5.3.1","DOIUrl":null,"url":null,"abstract":"In this research, we create and refine a computational model using Matlab software, focusing on the degradation characteristics of light-emitting devices. This work acknowledges the critical importance of burn-in procedures, quality control measures, and preventive maintenance policies in any organization. The burn-in phase serves as a fundamental step in recognizing faulty products by subjecting them to a predetermined testing period. Post the burn-in phase, a quality control system is employed, leading to the exclusion of sub-standard products. Concurrently, we establish a preventive maintenance strategy that aims at enhancing the product's performance over its lifespan. For the identification of the best choices concerning burn-in, quality control, and preventive maintenance, a cost-efficiency optimization model is formulated. The developed model is then used to assess the value of these policies, comparing original and optimal measurements using an optimization algorithm, all demonstrated through a practical case study.","PeriodicalId":492266,"journal":{"name":"International Journal of Advanced Research in Technology and Innovation","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Technology and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55057/ijarti.2023.5.3.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this research, we create and refine a computational model using Matlab software, focusing on the degradation characteristics of light-emitting devices. This work acknowledges the critical importance of burn-in procedures, quality control measures, and preventive maintenance policies in any organization. The burn-in phase serves as a fundamental step in recognizing faulty products by subjecting them to a predetermined testing period. Post the burn-in phase, a quality control system is employed, leading to the exclusion of sub-standard products. Concurrently, we establish a preventive maintenance strategy that aims at enhancing the product's performance over its lifespan. For the identification of the best choices concerning burn-in, quality control, and preventive maintenance, a cost-efficiency optimization model is formulated. The developed model is then used to assess the value of these policies, comparing original and optimal measurements using an optimization algorithm, all demonstrated through a practical case study.