The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps to identify and reduce the risks of failure in a system, component, or process. One important issue of FMEA is the determination of the risk priorities of failure modes. Risk ranking is produced in order to prioritize the focus on each of the failure modes that are identified. In this study, we applied...

The control chart (CC) is an important tool in Statistical Process Control (SPC) to improve the quality of products and processes. An unnatural variation in control maps assumes that an assignable cause affects the process is present, and some actions need to be applied to solve the problem. Thanks to their better recognition capability, NEURO-FUZZY is a powerful tool for process control and ra...

introduction : although many protocols are available in the field of the prehospital medical care (pmc), there is still a notable gap between protocol based directions and applied clinical practice. this study measures the rate of protocol adherence in pmc provided for patients with chest pain and loss of consciousness (loc). method : in this cross-sectional study, 10 educated research assistan...

Technical regulations that determine milk quality standards in Brazil establish the minimum criteria processing industry's raw material must present. These rules can challenge logistics sector (transport) to maintain adequate conservation levels. We aimed evaluate influence of bulk transport and storage conditions on refrigerated quality. The experiment was carried out a dairy industry Santa Ca...

In statistical process control/monitoring (SPC/M), memory-based control charts aim to detect small/medium persistent parameter shifts. When a phase I calibration is not feasible, self-starting methods have been proposed, with the predictive ratio cusum (PRC) being one of them. To apply such in practice, needs derive decision limit threshold that will guarantee preset false alarm tolerance, very...

Complex processes in modern manufacturing and business environments can generate hundreds and even thousands of process measurements that vary over time. Early detection of process instability is critical for avoiding costly failures and minimizing risk. When the process measurements are correlated, multivariate statistical process monitoring methods are appropriate. Three new procedures in SAS...

although control charts are very common to monitoring process changes, they usually do not indicate the real time of the changes. identifying the real time of the process changes is known as change-point estimation problem. there are a number of change point models in the literature however most of the existing approaches are dedicated to normal processes. in this paper we propose a novel appro...

Inventory control policies have been recognized as a contributory factor to the bullwhip effect and inventory instability. Previous studies have indicated that there is a trade-off between bullwhip effect and inventory performance where the bullwhip effect reduction might increase inventory instability. Therefore, there is a need for inventory control policies that can cope with supply chain dy...

As a provider of public transportation services in the Philadelphia area, the Southeastern Pennsylvania Transportation Authority operates and maintains a large number of transit vehicles for daily use. In an attempt to improve service quality and reduce costs, the Southeastern Pennsylvania Transportation Authority underwent a program to train staff on the use of Statistical Process Control to t...