{"title":"Self-organized criticality in manufacturing system unscheduled downtime series and its application to major failure prediction","authors":"Bo Li, Hengchang Liu, Fengjiao Yang, Nan Jiang","doi":"10.1080/08982112.2022.2150084","DOIUrl":"https://doi.org/10.1080/08982112.2022.2150084","url":null,"abstract":"Abstract In this study, self-organized criticality theory was applied to analyze the unscheduled downtime (USDT) characteristic of a complex manufacturing system. The long-range correlation of the USDT series was verified through the Hurst exponent value. Then, we developed a model to depict the relationship between the frequency and USDT duration with the extreme value theory. The parameters of the model were estimated with the maximum likelihood method and updated with Bayesian inference when new data was available. Finally, the effectiveness of the proposed method was validated by the USDT data of the bottleneck system from a semiconductor assembly and test factory.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"444 - 456"},"PeriodicalIF":2.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48956030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability analysis for systems subject to dependent and competing failure processes with random failure thresholds","authors":"Yuexin Xia, Wenjie Dong, Zhigeng Fang","doi":"10.1080/08982112.2022.2151369","DOIUrl":"https://doi.org/10.1080/08982112.2022.2151369","url":null,"abstract":"Abstract This paper intends to investigate the reliability model for competing failure systems under the influence of random failure thresholds. The random threshold distribution function of hard failure is developed incorporating parameter estimation and goodness-of-fit analysis while the soft failure threshold is assumed to be normally distributed. Specifically, the competing failure result is composed of a degradation process and a shock process, in which the former is simultaneously affected by random shocks and the latter is concurrently influenced by cumulative degradation. For the degradation process, a normal distribution is adopted for soft failure threshold to reflect the randomness of threshold level, and the soft failure survival function is developed subsequently. While for the shock process, the initial random hard failure threshold is regarded as the intensity distribution and a time-varying hard failure threshold function is developed, which describes the dependent strength between the hard failure process and the soft failure process. System reliability function is finally constructed based on the competing and dependent result of these two processes. An illustrative example of a micro-electro-mechanical system (MEMS) is analyzed to examine the developed reliability model, demonstrating that the dependence between degradation and shocks has a greater impact on reliability and overestimation may be caused without considering random characteristics of failure thresholds.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"467 - 479"},"PeriodicalIF":2.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41693690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lean, data, and statistics","authors":"Pere Grima, Lourdes Rodero, X. Tort-Martorell","doi":"10.1080/08982112.2022.2141125","DOIUrl":"https://doi.org/10.1080/08982112.2022.2141125","url":null,"abstract":"Key Point Although Lean techniques are often presented as something unrelated to statistics, the truth is that many Lean techniques and methodologies use data in varying degrees. Often this data is somewhat underused, and a better use of statistical thinking and basic statistical techniques will enhance the usually good results of these methodologies.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"364 - 369"},"PeriodicalIF":2.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44341825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using statistical engineering in pharmaceutical and biotech problem solving a case study","authors":"R. Snee","doi":"10.1080/08982112.2022.2132867","DOIUrl":"https://doi.org/10.1080/08982112.2022.2132867","url":null,"abstract":"Abstract Statistical engineering can be applied in a wide diversity of areas. This case study shows how statistical engineering is used to solve a large, complex biopharmaceutical supply chain problem. This major undertaking has been discussed previously. This article shows how the project has all the characteristics of a statistical engineering project. The project story complete with steps and results is presented to illustrate how a statistical engineering project is conducted.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"17 6","pages":"489 - 498"},"PeriodicalIF":2.0,"publicationDate":"2022-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41306382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corporation-wide variation reduction","authors":"L. Hare","doi":"10.1080/08982112.2022.2132403","DOIUrl":"https://doi.org/10.1080/08982112.2022.2132403","url":null,"abstract":"Abstract We illustrate the Statistical Engineering (SE) approach to the solution of large unstructured problems through some years-long experiences with improving productivity and quality using only a relatively small technical staff to elicit a major manufacturing culture change. The invention of a program for Process Variation Reduction (PVR) paralleling the SE steps of opportunity identification, problem definition, operating within the organizational context, strategy development, identification of tactics and creating sustainable solutions, enabled staff at all levels to drive down costs while improving customer satisfaction. Examples here involve advances in the food industry, but the variation reduction planning and strategies are applicable to most organizations.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"34 1","pages":"482 - 488"},"PeriodicalIF":2.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45723779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The North America competitive product laundry initiative – a case study on thorough understanding and quantitation of laundry product performance through Statistical Engineering","authors":"Sol Escobar, Cindy Rodenberg, A. Varbanov","doi":"10.1080/08982112.2022.2135010","DOIUrl":"https://doi.org/10.1080/08982112.2022.2135010","url":null,"abstract":"Abstract It is essential for The Procter & Gamble Company (P&G) to play at the leading edge of product superiority by providing consumers with high-performing options. This involves not only leading the market on key benefit spaces but also communicating those benefits to consumers around the world. P&G has the NA Competitive Product Laundry Project across the myriad of consumer benefit spaces in Laundry Category: Stain Removal, Odor Removal, Whitening, and other attributes. The initiative meets the criteria of a large, complex, unstructured problem, and benefits from the strategies of Statistical Engineering.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"34 1","pages":"499 - 506"},"PeriodicalIF":2.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46153669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent fault diagnosis of rolling bearings based on clustering algorithm of fast search and find of density peaks","authors":"Jun Wu, Manxi Lin, Yaqiong Lv, Yiwei Cheng","doi":"10.1080/08982112.2022.2140436","DOIUrl":"https://doi.org/10.1080/08982112.2022.2140436","url":null,"abstract":"Abstract Rolling bearings based rotating machinery are widely used in various industrial applications. The failure of rolling bearings, as one of the most critical components, would lead to disastrous consequences to the machinery. Therefore, it’s paramount to deliver an effective intelligent fault diagnosis method for rolling bearings to ensure the machinery’s stability and reliability. With this aim, this article proposes a novel approach that features are extracted via an improved complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and the faults are identified based on a semi-supervised clustering algorithm, that is, clustering approach of fast search and discovery of density peaks (CFSFDP). The proposed method provides two main contributions: (1) highly representative important features may be derived from common high-dimensional features, and (2) the intelligent semi-supervised classifier can identify faults type adaptively without large amount of type-labelled data unlike other supervised classifiers. Benchmarking studies were carried out to indicate that the proposed methodology for the fault diagnostic is superior to other common-used approaches.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"399 - 412"},"PeriodicalIF":2.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42677428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeremy Ash, Caleb King, Laura Lancaster, R. Lekivetz, Joseph Morgan, Yeng Saanchi
{"title":"Testing the prediction profiler with disallowed combinations—A statistical engineering case study","authors":"Jeremy Ash, Caleb King, Laura Lancaster, R. Lekivetz, Joseph Morgan, Yeng Saanchi","doi":"10.1080/08982112.2022.2135445","DOIUrl":"https://doi.org/10.1080/08982112.2022.2135445","url":null,"abstract":"Abstract The prediction profiler is an interactive display in JMP statistical software that allows a user to explore the relationships between multiple factors and responses. A common use case of the profiler is for exploring the predicted model from a designed experiment. For experiments with a constrained design region defined by disallowed combinations, the profiler was recently enhanced to obey such constraints. In this case study, we show how our validation approach for this enhancement touched upon many of the fundamental principles of statistical engineering. The team approached the task as a design of experiments problem.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"34 1","pages":"507 - 521"},"PeriodicalIF":2.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42432734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new incapability index for simple linear profile with asymmetric tolerances","authors":"A. Pakzad, E. Basiri","doi":"10.1080/08982112.2022.2129025","DOIUrl":"https://doi.org/10.1080/08982112.2022.2129025","url":null,"abstract":"Abstract Simple linear profiles (SLPs) are modeled by linear functional relationship between a response variable and an explanatory variable. A number of process capability indices (PCIs) for SLPs with symmetric tolerances have been proposed. However, PCIs for SLPs with asymmetric tolerances have received little attention. This article proposes a new functional incapability index for dealing with asymmetric tolerances. To demonstrate the improved performance of the new index, numerical examples and simulation studies are used to compare it to existing functional PCIs. Bootstrap confidence intervals for the proposed index are also obtained. Two examples illustrate the applicability of the proposed index.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"324 - 340"},"PeriodicalIF":2.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46778802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bernat Plandolit, Ignasi Puig‐de‐Dou, G. Costigan, Xavier Puig, Lourdes Rodero, José Miguel Martínez
{"title":"A mixture model application in monitoring error message rates for a distributed industrial fleet","authors":"Bernat Plandolit, Ignasi Puig‐de‐Dou, G. Costigan, Xavier Puig, Lourdes Rodero, José Miguel Martínez","doi":"10.1080/08982112.2022.2132866","DOIUrl":"https://doi.org/10.1080/08982112.2022.2132866","url":null,"abstract":"Abstract Remotely monitoring industrial printers for an unexpected increase of warning and error messages reduces equipment downtime and increases customer satisfaction. Directly tracking raw error messages rates during a given observation period poses some issues. Firstly, when a printer has not been used much during the observation period, its actual printing time is low. In this situation, even a small set of error messages can become an unexpectedly large rate of messages per printing hour. Secondly, classifying printers in error messages groups based on their rate (for instance, low, medium and high) and studying group changes over time, is useful in identifying potential problems. To overcome these issues, a nonparametric estimation method which simultaneously obtains empirical Bayes estimations of error messages rates and the number of error messages groups is used. This approach has been used in epidemiology, mainly in disease mapping research, but not in an industrial reliability context. The objective of our work is to show the application of the mixture model to real-time monitoring of printers’ error message rates in a way that addresses the two issues mentioned above.","PeriodicalId":20846,"journal":{"name":"Quality Engineering","volume":"35 1","pages":"519 - 533"},"PeriodicalIF":2.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49326188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}