The objective of public health surveillance is to systematically collect, analyze, and interpret data (about chronic or infectious diseases) understand trends; detect changes in disease incidence death rates; plan, implement, evaluate practices. Recently, studies have been conducted develop methods algorithms for detection. This paper attempts review recent research on temporal spatiotemporal methods. We addressed specific challenges gaps the relevant research. Lastly, we discuss a...

Abstract Process selection is the problem of comparing two processes and selecting one that has a higher capability value. In this paper, we consider process by using yield index S pk to compare production select yield. An analytical exact approach proposed solve problem. Testing hypotheses with phases for are developed. Critical values test obtained determine decisions. Sample sizes required designated power confidence level also investigated. The results provide useful information...

Evaluating and selecting suppliers are essential tasks in managing supply chains. Quality is one of the most important factors for supplier selection among various criteria. To compare quality k ( ≥ 2) suppliers, this paper proposes a multiple comparisons with best method based on yield index, S pk . Other than existing work that provides subset containing supplier, proposed further gives upper lower bounds each difference from unknown at confidence level least 1‐ α The having zero bound...

Early detection of lung cancer has a higher likelihood curative treatment and thus improves survival rate. Low-dose computed tomography (LDCT) screening been shown to be effective for high-risk individuals in several clinical trials, but high false positive rates. To evaluate the risk stage I general population not limited smokers, retrospective study 133 subjects was conducted medical center Taiwan. Regularized regression used build prediction model by using LDCT health examinations. The...

Colorectal cancer is the leading cause of cancer-related deaths worldwide, and early detection has proven to be an effective method for reducing mortality. The machine learning can implemented build a noninvasive stratifying tool that helps identify patients with potential colorectal precancerous lesions (polyps). This study aimed develop risk-stratified polyps in asymptomatic, healthy participants. A total 20,129 consecutive asymptomatic who underwent health checkup between January 2005...

Spatial surveillance is critical to health systems, manufacturing industries, and in many other domains. For example, determining hotspots of infectious diseases detecting defect patterns on semiconductor wafers require sensitive spatial analysis tools. The goal this paper detect clusters with mean shifts. Conventional multivariate methods may ignore structure among data lead inefficient inspection. Several likelihood ratio‐based scan statistics have been designed for surveillance. However,...

Supplier selection is a strategic decision for production management. Evaluating the performance of suppliers and selecting one with highest quality are important tasks. An electronic component required to meet specifications in practical applications. Generally, supplier procedure must evaluate overall yield respect multiple characteristics. A subset method proposed identify under The confidence interval each difference from unknown best provided terms index. In demonstration, effectively...

Finding an alternative material to gold wire is important cost reduction for the bonding process. The materials laser diodes are required pass ball shear test, pull test and several reliability tests, so that it can be used in production. This research employs Multi-response Quality Test procedure investigates feasibility optimal conditions of using silver alloy weighted Principal Components Analysis-based Taguchi method determine parameter combination process, which minimize quality loss...

The Group Selection problem is an essential in the supplier selection process. objective of to select a subset suppliers containing best among multiple candidate suppliers. Manufacturers should procure parts from selected produce high-quality products. Lin, C.J., W.L. Pearn, J.Y. Huang, and Y.H. Chen [2017. “Group for Processes with Multiple Quality Characteristics.” Communications Statistics – Theory Methods. doi:10.1080/03610926.2017.1364392] considered under quality characteristics,...

This paper focuses on signaling the clustering of anomaly with mean shifts. The shift magnitude, location, coverage size, and change point time are often unknown, which makes monitoring process challenging. Spatiotemporal scan statistics effective to detect existence clustering. However, none existing method is optimal when several parameters about unspecified. spatial structure informative but partially used in calculation statistics. proposes a spatiotemporal statistic that exponentially...

Timely detection of an event is one the important tasks in many spatiotemporal applications. The unknown nature makes process challenging. Likelihood ratio (LR) methods have been widely used for identifying locations and change point times through searching maximum evidence over temporal spatial windows. However, LR-based may not be optimal if shift parameters are unknown. This paper introduces a new test framework surveillance based on EWMA technique. We propose statistic that applies...

A manufacturing process often uses multiple lines to produce the same product for productivity purpose. The capabilities of are non-identical in practice. task evaluation needs measure overall yield. This research compares yield among I processes from K lines, ⩾ 2, 2. An unconstrained comparisons with best (UMCB) method based on index is proposed determine highest simultaneous confidence intervals each difference unknown terms provided at a level least 1 −α. To demonstrate effectiveness UMCB...

Abstract The lens module is a critical part of the camera module. quality significantly influences auto‐focus and image stability functions A new approach that uses sequential tests proposed to select alternative suppliers provide qualified parts as current supplier under linear profile data. Having several can reduce dependency on one supplier, improve bargaining power, capacity risk. displacement has relationship with characteristic for evaluating suppliers. To suppliers, difference...

Selecting qualified suppliers from a group of candidates is important to procurement. Having several choose can increase production flexibility and bargaining power. This research aims at selecting the substitute that produce parts with same quality as current supplier. Most existing supplier selection methods focused on univariate or linear profile data, which are insufficient solve problem under nonlinear data. develops step-up approach select for substitution data where there exists...

Process evaluation is a common yet important problem in industry. Among the key measurements such as quality, processing time, cost, and robustness, production yield one of fundamental criteria frequently adopted to evaluate quality level process. A process with high better capable producing products meeting requirements preset by customers. However, general procedures that count number defectives become inefficient especially when rates are high. This paper considers processes comparing...

The development of Statistical Process Control mostly focuses on temporal data. Those techniques are not sufficient for analyzing the manufacturing information embedded with spatial structure. monitoring process that treats records as purely multivariate data would miss important relationship among records. Thus, this paper proposes a spatial-EWMA test procedure to identify mean shift in plane. goal is analyze whether there an outbreak cluster investigated area. proposed method uses relative...

Process selection has been a focal task in operation management. This research focuses on finding alternatives to the current process that have be at least as capable process. Having multiple alternative processes available enables manufacturers better resource utilization and scheduling flexibility. However, selecting right under non-normal data remains challenge. Quality loss is popular criterion because of its direct relationship with cost objectives. In this research, we propose...

Applying spatiotemporal scan statistics is an effective method to detect the clustering of mean shifts in many application fields. Although several exponentially weighted moving average (EWMA) based have been proposed, existing methods generally require a fixed window size or apply weighting technique across temporal axis only. However, shift coverage often unavailable practical problems. Using mismatching radius may mislead cluster space delay time detection. This research proposed stEWMA...

Comparing the capability of processes is an essential task in manufacturing industry. Selecting process with a higher yield critical to maintaining production quality and cost. With miniaturization physical dimensions lower power consumptions, microelectromechanical systems (MEMS) are widely applied various domains. This research compares two that produce pre-amplifier MEMS sensors. Three characteristics were investigated: gain, absolute reference voltage, module quiescent current. To...

This research aims at detecting spatiotemporal clustering with increased mean. Scan statistics are popular methods for surveillance. Several likelihood-ratio (LR) and exponentially weighted moving average (EWMA) based scan have been studied the scenarios known or unknown size of shifted coverage. However, existing EWMA-based applying fixed radii may not be efficient to detect cluster paper proposed an statistic variable instead. The weights observations by distance in each circular window...