An Attribute Control Chart Based on the Birnbaum-Saunders Distribution Using Repetitive Sampling

In this paper, an attribute control chart using repetitive sampling is proposed when the lifetime of a product follows the Birnbaum Saunders distribution. The number of failures is to be monitored by designing two pairs of upper and lower control limits. The necessary measurements are derived to assess the average run length (ARL). The various tables for ARLs are presented when the scale parameter and/or the shape parameter are shifted. The efficiency of the proposed control chart is compared with an existing chart. The proposed chart is shown to be more efficient than an existing control chart in terms of ARL. A real example is given for illustration purpose.112Ysciescopu

New Challenges in Neutrosophic Theory and Applications

Neutrosophic theory has representatives on all continents and, therefore, it can be said to be a universal theory. On the other hand, according to the three volumes of “The Encyclopedia of Neutrosophic Researchers” (2016, 2018, 2019), plus numerous others not yet included in Encyclopedia book series, about 1200 researchers from 73 countries have applied both the neutrosophic theory and method. Neutrosophic theory was founded by Professor Florentin Smarandache in 1998; it constitutes further generalization of fuzzy and intuitionistic fuzzy theories. The key distinction between the neutrosophic set/logic and other types of sets/logics lies in the introduction of the degree of indeterminacy/neutrality (I) as an independent component in the neutrosophic set. Thus, neutrosophic theory involves the degree of membership-truth (T), the degree of indeterminacy (I), and the degree of non-membership-falsehood (F). In recent years, the field of neutrosophic set, logic, measure, probability and statistics, precalculus and calculus, etc., and their applications in multiple fields have been extended and applied in various fields, such as communication, management, and information technology. We believe that this book serves as useful guidance for learning about the current progress in neutrosophic theories. In total, 22 studies have been presented and reflect the call of the thematic vision. The contents of each study included in the volume are briefly described as follows. The first contribution, authored by Wadei Al-Omeri and Saeid Jafari, addresses the concept of generalized neutrosophic pre-closed sets and generalized neutrosophic pre-open sets in neutrosophic topological spaces. In the article “Design of Fuzzy Sampling Plan Using the Birnbaum-Saunders Distribution”, the authors Muhammad Zahir Khan, Muhammad Farid Khan, Muhammad Aslam, and Abdur Razzaque Mughal discuss the use of probability distribution function of Birnbaum–Saunders distribution as a proportion of defective items and the acceptance probability in a fuzzy environment. Further, the authors Derya Bakbak, Vakkas Uluc¸ay, and Memet S¸ahin present the “Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making” together with several operations defined for them and their important algebraic properties. In “Neutrosophic Multigroups and Applications”, Vakkas Uluc¸ay and Memet S¸ahin propose an algebraic structure on neutrosophic multisets called neutrosophic multigroups, deriving their basic properties and giving some applications to group theory. Changxing Fan, Jun Ye, Sheng Feng, En Fan, and Keli Hu introduce the “Multi-Criteria Decision-Making Method Using Heronian Mean Operators under a Bipolar Neutrosophic Environment” and test the effectiveness of their new methods. Another decision-making study upon an everyday life issue which empowered us to organize the key objective of the industry developing is given in “Neutrosophic Cubic Einstein Hybrid Geometric Aggregation Operators with Application in Prioritization Using Multiple Attribute Decision-Making Method” written by Khaleed Alhazaymeh, Muhammad Gulistan, Majid Khan, and Seifedine Kadry

ISBIS 2016: Meeting on Statistics in Business and Industry

This Book includes the abstracts of the talks presented at the 2016 International Symposium on Business and Industrial Statistics, held at Barcelona, June 8-10, 2016, hosted at the Universitat Politècnica de Catalunya - Barcelona TECH, by the Department of Statistics and Operations Research. The location of the meeting was at ETSEIB Building (Escola Tecnica Superior d'Enginyeria Industrial) at Avda Diagonal 647. The meeting organizers celebrated the continued success of ISBIS and ENBIS society, and the meeting draw together the international community of statisticians, both academics and industry professionals, who share the goal of making statistics the foundation for decision making in business and related applications. The Scientific Program Committee was constituted by: David Banks, Duke University Amílcar Oliveira, DCeT - Universidade Aberta and CEAUL Teresa A. Oliveira, DCeT - Universidade Aberta and CEAUL Nalini Ravishankar, University of Connecticut Xavier Tort Martorell, Universitat Politécnica de Catalunya, Barcelona TECH Martina Vandebroek, KU Leuven Vincenzo Esposito Vinzi, ESSEC Business Schoo

La Estadística Neutrosófica es una extensión de la Estadística de Intervalos, mientras que la Estadística Plitogénica es la forma más general de estadística. (Cuarta versión). Neutrosophic Statistics is an extension of Interval Statistics, while Plitogenic Statistics is the most general form of statistics (Fourth version)

In this paper we show that Neutrosophic Statistics is an extension of Interval Statistics, since it deals with all kinds of indeterminacy (with respect to data, inferential procedures, probability distributions, graphical representations, etc.), allows for indeterminacy reduction, and uses neutrosophic probability which is more general than imprecise and classical probabilities, and has more detailed corresponding probability density functions. Whereas Interval Statistics only deals with indeterminacy that can be represented by intervals. And we respond to the arguments of Woodall et al [1]. We show that not all indeterminacies (uncertainties) can be represented by intervals. Moreover, in some applications, we should use hesitant sets (which have less indeterminacy) instead of intervals. We redirect the authors to Plitogenic Probability and Plitogenic Statistics which are the most general forms of Multivariate Probability and Multivariate Statistics respectively (including, of course, Imprecise Probability and Interval Statistics as subclasses)

An investigation into Indian apparel and textile supply chain networks

The activities of the Indian clothing industry supplying Western markets have been investigated, with particular reference to identifying where improvements could be made to supply chain management. Focus group discussions, case studies and questionnaire analysis established that long lead-times in pre-production areas were of great concern. However Indian apparel manufacturers were found to be more cost conscious and rather less conscious about the value of time in pre-production areas. It was found that pre-production activities constituted 73% of total manufacturing lead time and have high positive correlation (0.96) with total manufacturing lead time. Preproduction activities in India mainly consist of prototype making and pre-production sample development; of which approval processes were found to have a high correlation (0.63) with pre-production. A significant (more than 50%) time of all activities consist of waiting time, which has positive influence on total lead time (0.86)

A study of job strain and depression in laboratory technicians in Hospital Universiti Sains Malaysia(HUSM) and Kementerian Kesihatan Malaysia(KKM) Hospitals, Kelantan

Job strain is the harmful physical and emotional responses that can happen when there is a conflict between job demands on the employee and the amount of control an employee has over meeting these demands.Job-related depression may often be initiated by high levels of long-term job stress,failure associated with stress-related under-performance, or by life crises.Job-related depression is a clinical illness and the workers should take this seriously.This study is aimed at identifying the psychosocial characteristics of job strain and the relationship between psychosocial job factors and depression in laboratory technicians in HUSM and KKM Hospitals.A cross-sectional study of 84 laboratory technicians in HUSM (response rate 82.4%) and 71 in KKM Hospitals (response rate 89.9%) was conducted from June 2001 till February 2002.Seven KKM Hospitals in Kelantan- Hospital Kota Bharu,Hospital Pasir Mas,Hospital Pasir Puteh,Hospital Tumpat,Hospital Tanah Merah,Hospital Machang,and Hospital Kuala Krai were chosen. Karasek's Job Content Questionnaire (Malay Version) was used as research instrument this study.There were five scales in the questionnaire; two scales were used to define job strain- decision latitude and psychological demands.Results showed that the majority of laboratory technicians in HUSM and KKM Hospitals were classified as passive.However,the proportion of high strain group was the second highest after passive group in both HUSM and KKM Hospitals.The percentage of laboratory technicians in HUSM which was classified as having a high job strain was higher compared to those in KKM Hospitals (33.3% and 26.8%, respectively).The results showed that job insecurity,physical exertion,and total psychological stressor are the significant risk factors of job strain in laboratory technicians in HUSM.However,the significant risk factors of job strain for laboratory technicians in KKM Hospitals are physical exertion and total psychological stressor.Laboratory technicians in HUSM had significantly higher depression as compared to those in KKM Hospitals (59.5% and 39.4%, respectively).We also found significant associations between the risk factors of depression and low social support,and high psychological demands (OR 3 .0, 95o/o CI 1.0-8.8) laboratory technicians in HUSM.However,for laboratory technicians in KKM Hospitals,the significant association was between depression and low social support and low decision authority (OR 9.7, 95o/o CI 1.0-91.1 ).The results of multiple logistic regression analysis revealed that low social support was highly associated with depression in laboratory technicians in HUSM and KKM Hospitals.We therefore conclude that physical exertion and total psychological stressor in the workplace posed significant risk of job strain in laboratory technicians in HUSM and KKM Hospitals.Job insecurity also significantly affected job strain in laboratory technicians in HUSM.A higher proportion of laboratory technicians in HUSM experienced depression compared to those in KKM Hospitals.Low social support positively predicted depression in laboratory technicians in HUSM and KKM Hospitals.In addition, high psychological demand also significantly predicted depression in laboratory technicians in HUSM; however,in laboratory technicians in KKM Hospitals, low decision authority was the significant predictor of depression

Robustness of Multiple Objective Decision Analysis Preference Functions

This research investigated value and utility functions in multiobjective decision analysis to examine the relationship between them in a military decision making context. The impact of these differences was examined to improve implementation efficiency. The robustness of the decision model was examined with respect to the preference functions to reduce the time burden imposed on the decision maker. Data for decision making in a military context supports the distinction between value and utility functions. Relationships between value and utility functions and risk attitudes were found to be complex. Elicitation error was significantly smaller than the difference between value and utility functions. Risk attitudes were generally neither constant across the domain of the evaluation measure nor consistent between evaluation measures. An improved measure of differences between preference functions, the weighted root means square, is introduced and a goodness of fit criterion established. An improved measure of risk attitudes employing utility functions is developed. Response Surface Methodology was applied to improve the efficiency of decision analysis utility model applications through establishing the robustness of decision models to the preference functions. An algorithm was developed and employs this information to provide a hybrid value-utility model that offers increased elicitation efficiency