Standards

The aim of this study is to identify the differentiated services university libraries are able to offer students by prioritizing service quality factors using the various dimensions and factors of service quality. The paper proposes a study that adopts the Parasuraman, Zeithaml, and Berry (PZB) service quality model to construct a model for measuring the service quality of a university library. The study conducts analysis using an expert questionnaire and the Analytic Hierarchy Process (AHP) to identify students’ needs with respect to the library’s service quality. This study covered 44 different graduate institutes, but it is aimed at postgraduate student-oriented university libraries, which may not reveal the real status of different types of libraries. The five dimensions of service quality identified in this study by order of importance are responsiveness, tangibility, reliability, assurance, and empathy. The first three criteria of the twenty-two assessment criteria are “The staff is unwilling to help students”, “The library’s facilities match up with the type of services” and “Students are unable to receive fast services from staff”. This article seeks to provide innovative methods for previous library management in the university library and the research results could also provide useful references with social implications and novel value to the university library’s management team to improve the library’s service quality. Full article

This paper gives an overview of scientific challenges in implementing and certifying “Zero residue” approach. The rationale behind the concept is that final control of commodities during/immediately after harvesting should confirm that traces of all used plant protection products are less than or equal to 0.01 mg/kg. To evaluate the risks in applying this concept, FMEA (Failure Mode and Effect Analysis) as a tool has been used. Among the most common factors affecting the pesticide residue levels in fresh produce, the following three appeared to be the biggest challenges in the “Zero residue” concept implementation and certification process: the use of unregistered plant protection products, inadequate sampling plan, and inappropriate laboratory methods. The analysis showed that all three factors have strong influence on achieving “Zero residue” limits. Full article

Ceramic tile adhesives (CTA) are playing a dominant role for the business of dry-mix producers. Their quality is classified according to EN 12004. In addition, this standard describes the procedure of a CTA’s performance evaluation. Therefore, a defined ceramic tile, a concrete substrate, and the actual tile adhesive is required. In our study, we investigated the influence of different concrete slabs on the results of two tile adhesives. In two cases, the influence of an additional thermal storage of the concrete slabs was evaluated. The tests were strictly performed according to EN 12004-2:2017. The highest variation for the same tile adhesive was found for the adhesion after heat storage measured on different concrete substrates. With a higher polymer content the influence tended to level out. Additionally, a significant deviation was observed for the adhesion strength after water storage, even causing a lower CTA classification on one substrate. The results of our investigation show that the quality of concrete slabs and their storage conditions should be seriously considered in comparing the performance of tile adhesive according to EN 12004. Full article

Software development has a problem with transparency/visibility. As an intangible product, software and its intermediate development results are hard to see or touch. Customers of custom software have difficulties checking progress, and risk coming out with costly but low-quality software. In the space domain with its often expensive and one-of-a-kind devices, which are developed in complex multitier supply chains, the risk is even greater. This paper presents the SKQuest data set. It contains the completed responses with 190 variables from an empirical study with over 100 software experts. The data set covers distinct aspects of measuring metrics and transparency in software projects. To show what information lies in the data set, the paper investigates, and affirms, from different perspectives, the following questions: Is transparency a problem in software development projects? Is there a desire for more transparency in projects? Can metrics contribute to improving the situation? Moreover, it attempts to replicate the results of an earlier study. The main contribution of this paper is, however, the SKQuest data set that is published with this paper in CSV formatas. It is a tool that enables systematic investigations of software metrics and allows research on how they can improve the efficiency of the software lifecycle, not limited to, but particularly with respect to transparency. Consequently, the paper may serve as a starting point for future research avenues in academia and industry and help to improve existing and future standards in software development. Full article

This study investigates the effectiveness of robust estimators of location and dispersion, used in proficiency testing and listed in ISO 13528:2015, in outlier detection. The models utilize (a) kernel density plots, (b) Z-factors, (c) Monte Carlo simulations, and (d) distributions derived from at most two contaminating distributions and one main Gaussian. The simulation parameters cover a wide range of those commonly encountered in proficiency testing (PT) schemes, so the results presented are of fairly general application. We chose a functional sub-optimal solution by grouping and classifying the model settings, resulting in five matrices readily usable for selecting the best robust estimator. Whenever at most half of the distribution of each contaminating population is outside the central distribution, there is only one optimal estimator. For all other cases, the five matrices provide the appropriate robust statistic. The proposed method applies to 95.1% of 144 results for an existing PT for cement. These actual datasets indicate that the Hampel estimator for the mean and the Q-method for the standard deviation provide the most appropriate performance statistic in 86.1% of the cases. Full article

With the rapid advancement of Unmanned Aerial Vehicle (UAV) technologies in recent years, their uses have been increasingly adopted in the architecture, engineering, and construction industries. To satisfy the needs of various types of construction projects, a considerable amount of research work has been performed to implement and refine the operations, safety, and accuracy of UAVs. This paper presents the findings of a comprehensive literature review that focuses on UAV research in construction management during the timeframe of 2016 to 2021. A total of 95 papers were identified and collected from a list of 21 relevant journals and conference proceedings, and were then categorized by their research topic, sensor types, and targeted structures. The results of 47 exemplary studies were reported in two categories, namely UAV uses and construction uses. The research topics identified for UAV uses include algorithm, applications, operations, framework, and training, while research topics identified for construction use include inspection, surveying, safety, and monitoring. The connection between the research topics, sensor types, targeted structures, and other advanced technologies were also discussed. This paper summarizes the current results of UAV research in construction management, reviews the methodology, benefits, and limitations of the reviewed literature, and provides valuable knowledge for the future trend of UAV applications in the civil, infrastructure, and construction industries. Full article

A systematic approach to nonconformity management and continuous improvements are the key elements of the quality management system. The objective of this paper is to present quality improvement for a manufacturing company producing forgings through the combination of several statistical methods and quality control techniques. First, Pareto analysis was applied, followed by the 8D (eight disciplines) methodology using a structured eight-step approach to problem solving following the PDCA (plan-do-check-act) method. The aim was to identify the problem and discover the critical causes of failures in the management system that allowed the problem to occur, by modifying and combining appropriate quality management methods and tools. The paper introduces a case study considering the forging process in the production of gearboxes, where customer complaints were identified in the last year, demanding the need to eliminate failures. Using the mentioned methods, the root cause of the problem was identified and permanent corrective action was planned and implemented according to the recommendations of the 8D report, which made it possible to reduce the likelihood of a recurrence of this problem and increase customer satisfaction. Full article

Advanced air mobility (AAM) is a sustainable aviation initiative to deliver cargo and passengers in urban and regional locations by electrified drones. The widespread expectation is that AAM adoption worldwide will help to reduce pollution, reduce transport costs, increase accessibility, and enable a more reliable and resilient supply chain. However, most countries lack regulations that legalize AAM. A fragmented regulatory approach hampers the progress of business prospectors and international organizations concerned with human welfare. Therefore, amidst high uncertainty, knowledge of indicators that can predict the propensity for AAM adoption will help nations and organizations plan for drone use. This research finds predictive indicators by assembling a unique dataset of 36 economic, social, environmental, governance, land use, technology, and transportation indicators for 204 nations. Subsequently, the best of 12 different machine learning models ranks the predictive importance of the indicators. The gross domestic product (GDP) and the regulatory quality index (RQI) developed by the Worldwide Governance Indicators (WGI) project were the two top predictors. Just as importantly, the poor predictors were as follows: the social progress index developed by the Social Progress Imperative, the WGI rule-of-law index, land use characteristics such as rural and urban proportions, borders on open waterways, population density, technology accessibility such as electricity and cell phones, carbon dioxide emission level, aviation traffic, port traffic, tourist arrivals, and roadway fatalities. Full article

Organizations and laboratories tend to integrate systems based on risk management. Risk management helps to optimize laboratory processes and information flow, increase valid and reliable results, and make better decisions. This paper describes the development and present trends in risk management related to standard ISO/IEC 17025. This paper focuses on risk assessment in the accredited testing laboratories using the FMEA tool. In the basic eight defined laboratory areas, risks were identified and evaluated, and methods were proposed to minimize them. Full article

Approximately one-third of the food produced globally—close to 1 billion tons—ends up as waste, and, at the same time, more than 800 million people are undernourished, which makes Sustainable Development Goal 12.3, to halve food waste by 2020, rather ambitious if not illusory. In the present study, data on food waste in households, the food service sector, and the retail sector are used as indicators for 78 countries that are analyzed by applying a partial order methodology—allowing all indicators to be taken into account simultaneously—to disclose the “good” (below average) and the “bad” (above average) among the countries on an average scale. Countries such as Belgium, Japan, and Slovenia should be labeled as “good” in this context, whereas the “bad” includes countries such as Nigeria, Rwanda, and Tanzania, countries that must cope simultaneously with severe malnutrition and hunger. This study further includes a search for so-called peculiar countries. Here, the USA and Ireland pop up, as they have very high amounts of waste in their food service sectors due to their eating profiles. Finally, the possible influence of assigning a higher weight to household waste is discussed. The overall objective of this study is to contribute to the necessary decisions that need to be made in order to fight the food waste problem and, thus, fulfill Sustainable Development Goal No. 2—zero hunger. As the world produces enough food for everyone, it is unacceptable that more than 800 million people are undernourished and that 14 million children suffer from stunting; perhaps all countries call for the label “ugly”. The present study contributes to highlighting the food waste problem and suggests specific action points for the studied countries. Full article

This study presents an approach to structure, analyze and evaluate corporate standardization processes using the example of pre-standardization for the reduction of environmental impacts in product design and development. For this purpose, we give a detailed description of the evolution of the European Standard EN 16524 entitled “Mechanical products—Methodology for reduction of environmental impacts in product design and development”. The standardization strategy behind the evolution of EN 16524 is analyzed using the approach of a Business Model Canvas combined with an evaluation using pre-defined success factors. Moreover, we derive general recommendations for corporate standardization professionals in checklists for each field of the underlying Business Model Canvas. With regard to the case study depicted here, we come to the conclusion that pre-standards are especially suited for innovation transfer in the field of emerging and rapidly evolving scientific and technical results. Full article

This paper proposes a workflow so that engineering scholars can learn to ask effective questions to establish systems of consultation to workers following the indications of the international standard ISO 45001 “Occupational health and safety management systems” (Chapter 5.1) in the context of a medium-size developer and construction company. The methodology has been specifically designed to assess whether it is possible for students to acquire skills in ISO 45001 by developing an innovative method for their own employee questionnaires, and this new standard requires professionals who know how to apply the fundamentals in an industrial context. An experiment with 31 mechanical engineering students was carried out. The new methodology was applied based on three learning levels: large group, working group, and individual student. Different research instruments have been applied to evaluate how they perceive the activity with respect to the usefulness for learning and adaptation to reality. It has also tried to evaluate the subjective sensation during the development of the activity: feelings of happiness, self-confidence, and satisfaction of the scholars. The results show that students considered the activity as interesting, useful for learning, and adapted to reality, posing an important challenge that may have served to improve intrinsic motivation in the learning of management systems. Full article

The Internet of Things (IoT) and smart manufacturing (SM) are mutually reinforcing. The establishment of IoT-based common facilities for SM is the premise of building SM system. Industrial IoT (IIoT) infrastructure for SM refers to common facilities based on IoT that support SM in industries or sectors, and plays a dominant role and faces severe challenges in the intelligence of SM. The infrastructure is independent of the products and production process in a specific factory. This paper develops conceptual and capability frameworks of IIoT infrastructure from a unified perspective of IIoT-related SM industries. These frameworks reflect relationships between IIoT and SM with in-depth relationships among basic facilities of IIoT infrastructure and lay the foundation of SM. In this paper the common characteristics and high-level requirements with respect to the different IoT layers of IIoT infrastructure are analyzed, and the capability framework and relevant capabilities of IIoT infrastructure are summarized according to the characteristics and requirements. In order to help service providers implement their systems to meet the needs of SM, the existing and newly developed IIoT infrastructure are integrated partially or in whole according to the intelligence level, so as to provide technical guidance for stakeholders to apply emerging ICTs to SM. Full article

Multi-criteria decision analyses (MCDA) for prioritizations may be performed applying a variety of available software, e.g., methods such as Analytic Network Process (ANP) and Elimination Et Choice Translating Reality (ELECTRE III) as recently suggested by Kalifa et al. In addition to a data matrix, usually based on indicators and designed for describing the parts of the framework intended for the MCDA, these methods require input of a variety of other parameters that are not necessarily immediately obtainable. Often the indicators are simply combined by a weighted sum to obtain a ranking score, which is supposed to reflect the opinion of a multitude of stakeholders. A single ranking score facilitates the decision as a unique ordering is obtained; however, such a ranking score masks potential conflicts that are expressed by the values of the single indicators. Beyond hiding the inherent conflicts, the problem arises that the weights, needed for summing up the indicator values are difficult to obtain or are even controversially discussed. Here we show a procedure, which takes care of potential different weighting schemes but nevertheless does not mask any inherent conflicts. Two examples are given, one with a small (traffic) system and one with a pretty large data matrix (food sustainability). The results show how decisions can be facilitated even taking a multitude of stakeholder opinions into account although conflicts are not necessarily completely eliminated as demonstrated in the second case. Full article

Extensive research is currently being conducted on nanotechnologies worldwide, and the applications of nanomaterials are continuously expanding. Given their unique intrinsic characteristics, such as their small size and increased reactivity, nanomaterials may pose an occupational, environmental or consumer hazard. Therefore, a highly important aspect of ensuring the sustainable use of nanotechnologies is the establishment of proper health and safety practices. The area of nanosafety research has produced significant outcomes the last decades, and many of these achievements have been reflected in the standardization field. In this work, a discussion of prominent nanosafety standards (ISO/TS 12901-2:2014 and ISO/TR 12885:2018) is presented, based on the barriers faced during the endeavor to apply their principles within a research context. A critical viewpoint regarding their application is presented, and gaps faced in adapting the standards to the materials and processes applied are noted. Additionally, approaches that were followed to circumvent these gaps are also highlighted as suggestions to potentially overcome these barriers in future standardization efforts. Full article

Background: Patient satisfaction is tightly linked with healthcare quality and high-value care. Timely communication is important in attaining patient satisfaction. The aim of the study was to provide all delivering mothers an update within an hour of their newborn’s admission to the neonatal intensive care unit (NICU). Methods: An educational module was developed with a PowerPoint presentation on the role of a timely update. The team, consisting of the neonatal nurse practitioners (NNP) and residents, were provided access to the presentation. After completing the presentation, they completed a questionnaire showing understanding. The principal investigator met with the mother after admissions to assess if she was updated within an hour of the admission of her baby to the NICU. Results: A total of 22 mothers participated in the study. Thirty-six percent of the mothers were updated within an hour of admission of their neonates to the NICU. The average time taken from admission to updating mothers was 5.75 ± 6.7 h. All mothers were satisfied with the explanation of the NICU staff. Conclusions: We noted a 100% satisfaction rate; however, we observed a low percentage of communication with the mother. The study provided the baseline data for the next PDSA cycle. Full article

An in-depth experimental study of the matrix effect of antifreeze (ethylene glycol) and water contamination of engine oil through FT-IR spectroscopy. With a comparison of the percent by volume concentration of contaminated fresh 15W-40 engine oil, there appeared to be a noticeable reduction in the O–H stretching signal in the infrared spectrum when ethylene glycol based antifreeze was included as a contaminant. The contaminants of distilled water, a 50/50 mixture of water and commercial ethylene glycol antifreeze, and straight ethylene glycol antifreeze were compared and a signal reduction in the O–H stretch was clearly evident when glycol was present. Doubling the volume of the 50/50 mixture as compared to water alone still resulted in a weaker O–H stretching signal. The possibility that this signal reduction was due to the larger ethylene glycol molecule having fewer O–H bonds in a given sample size was eliminated by comparing samples with the same number of O–H bonds per unit volume. The strong hydrogen bonding between that of water and glycol appeared to reduce the O–H stretching signal, even after comparing the different sample types at concentrations with the same number of O–H bonds per unit volume. Tukey’s highly significant difference was used to show that samples of the 50/50 mixture and straight glycol were not reliably distinguishable from one another when comparing the same number of O–H bonds per unit volume but readily distinguishable from that of water as the lone contaminant. Full article