Reviewing the Challenges of Big Data Use in Smart Industries

Purpose: In recent years, data has been growing on a large scale, and the development of Internet applications, mobile applications, and network-connected sensors has also increased dramatically. These programs and extensive Internet communications continuously generate large volumes of data that are diverse and structurally different, called big data. Methodology: This article first reviews big data and defines its features, and then discusses the challenges it faces in the smart industry. Finally, using fuzzy hierarchical analysis, the most important challenges of using big data in smart industries have been prioritized. Findings: Due to the increasing volume of information transfer in the space of industrial generation, big data problem, import and storage of large volume of data information items and its management, preprocessing and post-processing, speed, accuracy and security of information are very important. It has gained a lot of attention and has attracted the attention of many researchers and experts in the field of information technology and active in the industry. Originality/Value: This article review the challenges of big data use in smart industries

Business Intelligence Analysis in Small and Medium Enterprises

In order to share knowledge, through discussion and exchange of information, about the technological challenges and management in the digital age, this article discusses in the following sections: First, the mining process - prerequisites and their application to “Small and Medium Enterprises” (SMEs) are discussed. Section two discusses "Using Customer Analytics for Success: The Case of Mexican SMEs." In next Section reviews data management software solutions for business sustainability. Finally, a "marketing analysis" is provided by analysis of SMEs

Anxiety in patients under electrophysiological interventions and related factors

زمینه و هدف: مداخلات الکتروفیزیولوژیک یکی از جدیدترین روش‌های تشخیص و درمان دیس‌ریتمی‌ها هستند که می‌توانند همانند دیگر روش‌های تهاجمی موجب اضطراب بیماران گردند. اضطراب از این جهت حائز اهمیت است که می تواند باعث کاهش اثربخشی مداخله گردد؛ لذا این مطالعه با هدف بررسی میزان اضطراب بیماران تحت مداخلات تشخیصی و درمانی الکتروفیزیولوژیک و شناسایی عوامل فردی و بالینی مرتبط با آن صورت گرفته است. روش بررسی: در این مطالعه توصیفی- تحلیلی که به صورت مقطعی انجام شد، 72 نفر از بیماران در انتظار مداخلات تشخیصی و درمانی الکتروفیزیولوژیک بستری در بیمارستان دکتر حشمت شهر رشت به روش تدریجی از اردیبهشت تا مرداد ماه سال 1392 انتخاب و وارد مطالعه شدند. داده های پژوهش با استفاده از ابزاری 2 بخشی شامل پرسشنامه اطلاعات فردی– بالینی و ابزار اضطراب و افسردگی بیمارستانی (فقط بخش اضطراب این ابزار) به روش مصاحبه و مشاهده یافته های ثبت شده در پرونده در محدوده زمانی 5-3 ساعت قبل از مداخله الکتروفیزیولوژی گردآوری شدند. یافته ها: بین میانگین نمره اضطراب نمونه ها با جنسیت ارتباط معناداری وجود داشت و میانگین اضطراب در زنان به طور معناداری بیش از مردان بود (001/0≥P). همبستگی معکوس معناداری نیز بین میانگین نمره اضطراب نمونه ها با سن آنان (03/0>P و 255/0-=r) به دست آمد؛ بدین ترتیب که نمرات اضطراب نمونه ها با افزایش سن آنان کاهش می یافت. نتیجه گیری: بر اساس نتایج این مطالعه پرستاران باید کنترل اضطراب را در بیماران زن و در سنین جوان تر با دقت بیشتری مورد توجه قرار دهند تا بتوان با کنترل اضطراب این افراد، به اثر بخشی بیشتر مداخلات الکتروفیزیولوژیک دست یافت

Managing supply chain collaboration in high-tech aerospace industry

Step changes in supply chain performance cannot be enacted unless collaboration exists between buyers and suppliers, and encourages the right connections and commitments. We aim to improve the understanding of the supply chain collaboration and its critical success factors within the aerospace industry and the interactions and links between these factors. Upon reviewing literature, propositions are conceptualised for this industry. These are then verified through a case-study involving a series of interviews by the stakeholders and managers of a major European company in this industry. Finally, a steering model and a strategic framework are developed

Exploring the seminal origins of key operations management developments

The purpose of this paper is to explore the underlying systems approach associated with key developments in operations management, namely operations strategy, TQM, lean supply and TOC. These developments are shown to have embraced a paradigm shift in both thinking and practice which reflect a common systems perspective. However, this perspective has been interpreted in different ways to address the needs of different operations environments at different times. Through analyzing the originating literature the underlying conflicts and key developments have been explored as a means of clarifying the seminal contributions. This is then used to better understand the assumptions associated with these distinct developments providing a basis for extending such applications into other environments

Supply chain integration strategies in fast evolving industries

Purpose – We aim to define the ‘fast-evolving-industry’ (FEI) and its supply chain management (SCM) challenges. We review and structure the literature regarding integration strategies and implementation methods to develop a strategic decision-making framework for SCM in the FEI. Design/methodology/approach – We conduct a review of SCM literature, including supply chain strategy, supply chain integration (SCI), agile and responsive supply chain and SCM for innovative and fast-changing industries. We develop a conceptual model and a decision-making framework and use four mini cases to provide support for the model and framework. Findings – The FEI, characterised by a high level of innovation and differentiation, short products/services lifecycle and high variety, is yet to be fully defined. Inherent uncertainty in FEI supply systems makes SCM in these industries a complex but strategic task for their managers. The framework and the model offered in this study, which employ a core competency concept and provide risk management strategies, offer a strategic tool for managers and scholars in the field to optimise their integration strategies and to operationalise integration decisions. Original Value – Little research has been published on transferable and cross-industrial SCM in Fast Evolving Industries (FEIs). This paper defines the FEI and its resource-related concerns and then offers a conceptual model and a strategic decision-making framework for SCI in FEIs

Predictors of Self-Care Behaviors in Heart Failure Patients: A Cross-Sectional Study

Abstract Introduction: Adherence to self-care behaviors and determining its related factors in patients with chronic illnesses are mandatory. The objective of the present study was two-fold: first, to examine the self-care behaviors adherence among heart failure patients and second, to determine its predictors in a comprehensive study of various factors in patients with heart failure. Methods: This descriptive cross-sectional study was conducted on 239 patients with heart failure referred to Dr.Heshmat hospital as the only heart center in Guilan province (Northern Iran). The consecutive sampling method was used. Data were collected by Self-Care Heart Failure Index, Cardiac Depression Scale, Mini-Mental State Examination, and Charlson Comorbidity Index and were analyzed by descriptive statistics and analytical statistics in SPSS. Results: Results showed educational level, history of receiving information, and cognitive function as predictors of self-care maintenance. Also, monthly income, history of receiving information, and ventricular dysfunction were predictors of self-care management. Monthly income, admission status, number of hospitalizations, history of receiving information, and cognitive function are mentioned as predictors of self-confidence. Predictors of total self-care were monthly income, history of receiving information, and cognitive function. (P . 0.05). Conclusions: Promoting self-care behaviors could prevent the adverse effects of diseases such as readmission, prolonged hospitalization, and bed occupancy ratio. The majority of the participants had non-adherent self-care, and, according to the results, it is recommended that assessing predictors in these patients and planning. Also, it is suggested that more observational, qualitative, and mixed-method studies be done in the future

A bi-objective blood supply chain model under uncertain donation, demand, capacity and cost: a robust possibilistic-necessity approach

This paper addresses a multi-objective blood supply chain network design, considering economic and environmental aspects. The objective of this model is to simultaneously minimize a blood supply chain operational cost and its logistical carbon footprint. In order to embed the uncertainty of transportation costs, blood demand, capacity of facilities and carbon emission, a novel robust possibilistic-necessity optimization used regarding a hybrid optimistic-pessimistic form. For solving our bi-objective model, three multi-objective decision making approaches including LP-metric, Goal-Programming and Torabi-Hassini methods are examined. These approaches are assessed and ranked with respect to several attributes using a statistical test and TOPSIS method. Our proposed model can accommodate a wide range of decision-makers viewpoints with the normalized objective weights, both at the operational or strategic level. The trade-offs between the cost and carbon emission for each method has been depicted in our analyses and a Pareto frontier is determined, using a real case study data of 21 cities in the NorthWest of Iran considering a 12-month implementation time window

Quality management in heavy duty manufacturing industry: TQM vs. Six Sigma

‘Is TQM a management fad?’ This question has been extensively documented in the quality management literature; and will be tackled in this research though a critical literature review on the area. ‘TQM versus Six-Sigma’ debate, which has also been a fundamental challenge in this research filed, is addressed by a thematic and chronological review on the peer papers. To evaluate this challenge in practice, a primary research in heavy duty machinery production industry have been conducted using a case-study on, J C Bamford Excavators Ltd (JCB), the largest European construction machinery producer. The result highlights that TQM is a natural foundation to build up Six-Sigma upon; and not surprisingly the quality yield in a TQM approach complemented by Six-sigma is far higher and more stable than when TQM with no Six-Sigma focus is being put in place; thus presenting the overall finding that TQM and Six Sigma are compliments, not substitutes. The study will be concluded with an overview on quality management approaches in the heavy duty manufacturing industry to highlight the way forward for the industry

A Multi-surgeon Robotic-guided Thoracolumbar Fusion Experience: Accuracy, Radiation, Complications, Readmissions, and Revisions of 3,874 Screws across Three Robotic Generations

Objective Robotic guidance provides indirect visualization of key anatomic landmarks to facilitate minimally invasive surgery (MIS) and is emerging as a reliable and accurate technique for posterior spine instrumentation. We sought to describe eight years of experience with robotic guidance at a high-volume, multi-surgeon center. We hypothesize that robotic guidance will lead to (1) low rates of complication, readmissions, and revision surgery, (2) reduced fluoroscopic radiation exposure, (3) and accurate thoracolumbar instrumentation. Methods A retrospective review of complications, revision surgery, and readmission rates in patients undergoing thoracolumbar fusion surgery utilizing three robotic generations. Secondary analysis was conducted comparing the three robotic generations for complications, revision surgery, accuracy, and readmission rates along with intraoperative fluoroscopic duration. Results A total of 628 patients (3,874 robotic-guided screws) ages 12–81 years-old (43.9% male) were included in the study. At one year, the cumulative complication incidence was 15.5% with a 10.3% incidence of surgical complications (3.7% wound, 1.2% robot-related, and 5.4% non-robot-related complications). At one year, the revision surgery incidence was 9.4%. There was no statistical difference between complications, readmission, or revision surgery after initial admission among the three robotic generations. The average intraoperative fluoroscopic duration was 53.8 seconds (11.9 seconds per screw and 17.6 seconds per instrumented level). Conclusion Robotic guidance in thoracolumbar instrumented fusions was associated with low complication, revision surgery, and readmission rates. Our results suggest robotic guidance can provide accurate guidance with minimal adverse events in thoracolumbar instrumentation