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This article analyses the strategic construction of a factory management regime as an instrument of local value extraction, set against an intensely competitive global value chain in the apparel sector. The article focuses on Bangladesh where, as elsewhere, work in ready‐made garment factories is characterised by long hours, poor pay, hostility to freedom of association and the suppression of independent collective bargaining. This article presents a long‐term study of the ways that managers who preside over such environments are identified, recruited and deployed. In the context of the global value chain in garments, this article shines a light on managerial regimes which squeeze labour and perpetuate inequality as part of extracting value at workplace level, in the context of a broader, internationally dispersed, industrial regime of exploitation. [ABSTRACT FROM AUTHOR]

As businesses gradually transition to the concept of Industry 4.0, they strive to digitize all necessary data. The aim of this article is to demonstrate how the digitalization of shop floor management (dSFM) can enhance the efficiency of production process management, and to propose steps for faster and more effective implementation of dSFM in industrial enterprises. The digitalization of shop floor management increases agility, responsiveness, and overall improves decision-making processes. In the analyzed enterprise, the traditional shop floor management was overly burdensome, accompanied by excessive documentation and inefficient processes. It was necessary to analyze three areas: data collection, information visualization, and the flow of shop floor meetings. Based on this analysis, shortcomings were identified, and measures were proposed to automate routine activities and streamline processes. This case study thus fills a gap in the research by focusing on specific challenges in implementing dSFM in an industrial enterprise. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: This paper analyzes the ways in which accounting enables operations managers to enter and perform multiple roles in their interplay with organizational groups on the shop floor and in management, and the associated negotiations that operations managers have with "the self." Design/methodology/approach: Using field-based studies in a mining organization, the study draws on Goffman's backstage–frontstage metaphor to analyze how operations managers enter and perform several roles with the aid of accounting. Findings: The findings show that accounting legitimizes operations managers when they cross organizational boundaries, as accounting gives them an "entry ticket" that legitimizes their presence with the group. Accounting further allows operations managers to embrace more than one role by "putting on a mask" to become an outsider or insider in relation to a group. In performing their roles, operations managers exhibit varying attributes and knowledge. Accounting can thereby be withheld from, or shared with, organizational groups. The illusion of accounting as deterministic presented frontstage is not necessarily negotiated that way backstage. Rather, alternatives discussed backstage often become silenced in the frontstage performance. The study concludes that operations managers cross boundaries, embrace roles and exert agency as they navigate with accounting, enrolling it into their performance simultaneously as they backstage reflect upon accounting and its role for their everyday work. Originality/value: This study relies on the frontstage/backstage metaphor to visualize the discrepancies in how accounting is enrolled into role performances and how seemingly categorical fronts do not necessarily share that dominant position backstage. [ABSTRACT FROM AUTHOR]

The sugar industry has complex production processes and involves various risks, including the high potential for employee accidents. To reduce this risk, the implementation of an effective work safety programme is required. This reserach aims to analyse the effect of safety leadership and safety climate on safety behaviour mediated by safety motivation in sugar factory employees. The method used is quantitative with data collection through questionnaires. The population of this study were all sugar factory employees in Indonesia, with a sample of 100 respondents selected using random sampling technique. Data analysis was carried out using Path Analysis in the SEM-PLS programme. The results showed that Safety Leadership and Safety Climate positively influence the Safety Behaviour of sugar factory employees. In addition, Safety Motivation mediates the influence of Safety Leadership and Safety Climate on Safety Behaviour, which indicates that Safety Motivation can strengthen the influence of these two factors on the safety behaviour of sugar factory employees. This reserach provides important implications for sugar factory management to pay more attention to aspects of motivation and safety climate to improve safety behaviour in the workplace. [ABSTRACT FROM AUTHOR]

This paper focuses on the reconstruction of the Ottoman fleet following the naval defeat at Lepanto (1571). It examines the event from the perspective of management studies. Drawing on extensive archival research, we reconstruct the Ottoman Empire's decision-making processes, looking at the main organisational conditions that made this remarkable feat possible. This allows us to make a preliminary comparison with the management of the Venice Arsenal in the same period, as an example of an early form of modern management. To what extent this extraordinary effort was—at the same time—a consequence and a driver of a different pattern of organising economic activities on two sides of Mediterranean Sea? Differences between the two contexts are discussed, while addressing the importance of shipbuilding in the development of early forms of management and the invention of the factory system in preindustrial, state run manufacturing, with particular reference to shipyards. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering Management / Gongcheng Guanli Xuebao is the property of Journal of Engineering Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Some Business Process Management Systems (BPMSs) have been developed in the field of smart factories. These systems are typically based on technical or production areas and technical processes. However, many existing systems, with respect to technologies used in smart factories and also the dynamic nature of the processes in these environments, are not able meet requirements of smart factories in the business process execution. The present study presents a new prototype of BPMS architecture based on smart factories' characteristics. This prototype has several components. In the monitoring component, process management can take place through process mining techniques inside a defined data analysis system for collecting event logs from big data. This component could operate based on control and optimization modules. The control module is applied to discover process models and their conformity with models extracted from business process analysis using Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and Adaptive Boosting (AdaBoost) algorithms. Also, the optimization module can improve the processes model based on Business Process Intelligence (BPI) technique and Key Performance Indicators (KPIs). The results of the new prototype execution on a case study indicate that the proposed architecture is highly accurate, complete, and optimal in process management for smart factories. [ABSTRACT FROM AUTHOR]

The heterogeneous network formed by the deployment and interconnection of various network devices (e.g., sensors) has attracted widespread attention. P M 2.5 forecasting on the entire industrial region throughout mainland China is an important application of heterogeneous networks, which has great significance to factory management and human health travel. In recent times, Large Language Models (LLMs) have exhibited notability in terms of time series prediction. However, existing LLMs tend to forecast nationwide industry P M 2.5 , which encounters two issues. First, most LLM-based models use centralized training, which requires uploading large amounts of data from sensors to a central cloud. This entire transmission process can lead to security risks of data leakage. Second, LLMs fail to extract spatiotemporal correlations in the nationwide sensor network (heterogeneous network). To tackle these issues, we present a novel framework entitled Spatio-Temporal Large Language Model with Edge Computing Servers (STLLM-ECS) to securely predict nationwide industry P M 2.5 in China. In particular, We initially partition the entire sensor network, located in the national industrial region, into several subgraphs. Each subgraph is allocated an edge computing server (ECS) for training and inference, avoiding the security risks caused by data transmission. Additionally, a novel LLM-based approach named Spatio-Temporal Large Language Model (STLLM) is developed to extract spatiotemporal correlations and infer prediction sequences. Experimental results prove the effectiveness of our proposed model. [ABSTRACT FROM AUTHOR]

The trends of the 21st century are challenging the traditional production process due to the reduction in the life cycle of products and the demand for more complex products in greater quantities. Industry 4.0 (I4.0) was introduced in 2011 and it is recognized as the fourth industrial revolution, with the aim of improving manufacturing processes and increasing the competitiveness of industry. I4.0 uses technological concepts such as Cyber-Physical Systems, Internet of Things and Cloud Computing to create services, reduce costs and increase productivity. In addition, concepts such as Smart Factories are emerging, which use context awareness to assist people and optimize tasks based on data from the physical and virtual world. This article explores and applies the capabilities of context-aware applications in industry, with a focus on production lines. In specific, this paper proposes a context-aware application based on a microservices approach, intended for integration into a context-aware information system, with specific application in the area of manufacturing. The manuscript presents a detailed architecture for structuring the application, explaining components, functions and contributions. The discussion covers development technologies, integration and communication between the application and other services, as well as experimental findings, which demonstrate the applicability and advantages of the proposed solution. [ABSTRACT FROM AUTHOR]

The emergence of industrial capitalism in the 19th century undoubtedly changed production processes in factories, and mass production theories and practices emerged for the first time in human history. Pioneers, namely Taylor and Ford, had revolutionary factory production and management innovations under industrial capitalism. However, the basic rights of workers, along with those of large factories, have been largely neglected. Marx, Engels, Lenin, and Gramsci began to formulate theories and practices of workers' emancipation based on the mass production of industrial capitalism. As the two most important socialist countries on Earth, the Soviet Union and China have practiced emancipatory policies at the factory level based on the Marxist ideal. Through a triangular comparison model, this article examines whether the Soviet Union and China have achieved their ideals of worker emancipation. This article proposes a theory of workers' emancipation, mainly based on the Marxist ideal, while Soviet and Chinese practices are compared horizontally. In the end, the article concludes that both the ideals of the Soviets and Chinese on workers' emancipation have not been fully achieved despite both having some contributions to worker emancipation; the failure of achieving the emancipatory ideal rendered both countries' claims on emancipation as mere 'illusions.' [ABSTRACT FROM AUTHOR]

Since the Software Quality Model was defined as an international standard, many quality assurance teams have used this quality model in a waterfall model for software development and quality control. As more software is delivered as a cloud service, various methodologies have been created with an awareness of the link between development productivity and operations, enabling faster development. However, most development methods are development-oriented with awareness of development progress, and there has been little consideration of methods that achieve quality orientation for continuous quality improvement and monitoring. Therefore, we developed a method to visualize the progress of software quality during development by defining quality goals in the project charter using the quality model defined in international standards, classifying each test by quality characteristics, and clarifying the quality ensured by each test. This was achieved by classifying each test by quality characteristics and clarifying the quality ensured by each test. To use quality characteristics as KPIs, it is necessary to manage test results for each test type and compare them with past build results. This paper explains how to visualize the quality to be assured and the benefits of using quality characteristics as KPIs and proposes a method to achieve rapid and high-quality product development. [ABSTRACT FROM AUTHOR]

The Ikhwan Shop provides goods and cellphone repair services, but the system that runs in the shop records incoming and outgoing goods, and the results of repair services are still done by writing in a hand-written shop logbook. Therefore, a management system, an application designed to cover all activities running in the store, is needed. The activities are selling pulses, snacks, office stationery, receiving damaged cellphone repairs, and serving consignment of supplier goods. The system is equipped with a calculation of net and gross income and data collection related to employee salaries. After managers, cashiers, and technicians tested and implemented the system, it was concluded that it followed the business processes running at the Ikhwan shop. The system testing results with Blackbox show that all system functions can run well, so management activities run more effectively and efficiently. [ABSTRACT FROM AUTHOR]

This article presents the development and implementation of an intelligent assistant for smart energy management in an industrial setting. The project, developed in collaboration with Bosch Termotecnologia Aveiro, aims to leverage the advancements of Industry 4.0 and address the increasing demands for efficiency, quality and sustainability in industrial processes. The intelligent assistant implements machine learning algorithms, specifically autoencoders, to predict energy consumption related variables and detect anomalies in data collected from the factory floor. In the models' building process, an AutoML hyperparameter optimization tool is utilized to further enhance their predictive abilities. The implementation of the assistant showcases its capabilities not only regarding the predictions, but also in terms of data visualization and alarm generation. The results obtained through the use of Auto ML showcase remarkable improvements compared to traditional regression models and basic autoencoders, proving its effectiveness in terms of making accurate predictions, with improvements up to 90% in some indicators when compared to those basic models. Alsointerms of the anomaly detection task, the chosen methodology proves to be effective in detecting different kinds of anomalies. The integration of the assistant with a Grafana dashboard and the exploration of additional communication tools, such as a Telegram bot, further improve the user experience and expand the potential applications of the assistant. [ABSTRACT FROM AUTHOR]

The investment in a smart manufacturing factory with corresponding management information systems is strategic, complex, and costly. This paper aims to develop a cost estimation framework for a smart factory management information system (SFMIS). This paper proposed a fuzzy activity-based costing (FABC) model for the evaluation of the SFMIS under conditions of uncertainty. The model presented a multi-step procedure to do the identification, estimation, determination, calculation, and computation of the resource costs, activity costs, and systems as cost objects. The fuzzy Delphi method is adopted, and seventeen experts are surveyed in two rounds of a questionnaire assessing the importance of resources, activities, systems, and industry type and company size. The proposed FABC cost estimation model is illustrated by a case study. This model can identify and allocate resources and estimate SFMIS costs accurately and efficiently. By using this FABC cost evaluation framework, policymakers facilitate smart factory implementation for its management information system under uncertainty. [ABSTRACT FROM AUTHOR]

As the best integration point to integrate information technology and manufacturing technology, the digital factory is the basis for the intelligent transformation of manufacturing companies. This article will discuss how to build it and discuss the digital world. When companies develop, integrate, share, apply and update different knowledge, create more added value and benefits, and make significant contributions to the sustainable development of knowledge management companies, they pay more and more attention to improving their own competitiveness. Therefore, this article proposes a method to improve knowledge management based on the actual situation of the enterprise, and proposes a strategy for recent development. In the knowledge management applications of the digital factory, the high-speed transmission and processing of data becomes crucial. But the traditional network technology has been unable to meet the increasing demand for data. This paper explores the potential application and advantages of optical network transmission based on 5G network in the application of knowledge management in digital factory, studies the optical network transmission technology based on 5G network, and discusses its feasibility and advantages in the application of knowledge management in digital factory. The study found that the optical network transmission technology based on 5G network can greatly improve the data transmission speed and bandwidth, and meet the needs of digital factories for efficient data transmission. Optical network transmission technology also has the advantages of low latency, high reliability and low energy consumption. [ABSTRACT FROM AUTHOR]

Copyright of Revista Producao Online is the property of Associacao Brasileira de Engenharia de Producao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista da Micro e Pequena Empresa is the property of Faculdade Campo Limpo Paulista and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Business & Projects / Revista de Gestão e Projetos is the property of Revista de Gestao e Projetos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To ensure sustainability in agriculture, many optimization problems need to be solved. An important one of them is harvest scheduling problem. In this study, the harvest scheduling problem for the tea is discussed. The tea harvest problem includes the creating a harvest schedule by considering the farmers' quotas under the purchase location and factory capacity. Tea harvesting is carried out in cooperation with the farmer - factory. Factory management is interested in using its resources. So, the factory capacity, purchase location capacities and number of expeditions should be considered during the harvesting process. When the farmer's side is examined, it is seen that the real professions of farmers are different. On harvest days, farmers often cannot attend to their primary professions. Considering the harvest day preferences of farmers in creating the harvest schedule are of great importance for sustainability in agriculture. Two different mathematical models are proposed to solve this problem. The first model minimizes the number of weekly expeditions of factory vehicles within the factor and purchase location capacity restrictions. The second model minimizes the number of expeditions and aims to comply with the preferences of the farmers as much as possible. A sample application was performed in a region with 12 purchase locations, 988 farmers, and 3392 decares of tea fields. The results show that the compliance rate of farmers to harvesting preferences could be increased from 52% to 97%, and this situation did not affect the number of expeditions of the factory. This result shows that considering the farmers' preferences on the harvest day will have no negative impact on the factory. On the contrary, it was concluded that this situation increases sustainability and encouragement in agriculture. Furthermore, the results show that models are effective for solving the problem. [ABSTRACT FROM AUTHOR]

As a highly decentralised research infrastructure, the Distributed System of Scientific Collections (DiSSCo) will need to develop cross-institutional teams, adopting work practices where individual staff are intensively working collectively on common tasks in a distributed environment. These flexible and distributed working practices will be essential to the delivery of the research infrastructure across a wide range of delivery partners and a geographically dispersed set of scarce resources and skills, particularly in more technical roles. Since work to consider secondment and distributed working in DiSSCo was first envisaged, there has been a step change in distributed working owing to the Covid-19 pandemic and lockdowns or other restrictions to where work could take place. This report examines distributed team working practices and how they have changed, through interviews with a range of key roles across DiSSCo Prepare institutions. It briefly examines key project management and technical team delivery techniques. It documents how some of these approaches have been piloted within DiSSCo Prepare for the development, testing and delivery of DiSSCo Policy and Digital Maturity tools. Finally, bringing this together with previous work on secondment policies and practices for DiSSCo, we make recommendations about how secondment and distributed team working can be approached to enhance DiSSCo capabilities and the likelihood of successful implementation of the research infrastructure. [ABSTRACT FROM AUTHOR]

Coffee shop business opportunities show a positive trend, encouraging business actors to set up new coffee shops. The growth of coffee shops causes competition to become increasingly high. Therefore, coffee shop management must strengthen the main variables in its business. The main variables in a coffee shop include barista, product, price, atmosphere, social media, and customer satisfaction. This research aims to determine and describe the variable conditions of the barista, product, price, atmosphere, social media, and consumer satisfaction. The research location is Tangerang City, Banten Province, Republic of Indonesia, considering that the area is included in lowland topography and many modern coffee shops are standing. The research was conducted in July-September 2023 with a sample size of 131 respondents. The research design is descriptive, using survey methods. Data analysis uses confirmatory factor analysis (CFA) instruments and the calculation of variable scores, which are compared with expected scores. The research results show that the condition of the barista is in the very skilled category (83.57%), the condition of the product is in the outstanding category (82.33%), the condition of the coffee shop atmosphere is in the very comfortable category (83.77%), the condition of the price is in the very affordable category (83.17%), social media conditions are in the outstanding category (81.76%), and consumer satisfaction conditions are in the very satisfied category (81.50%). The results of this research are very useful in planning/determining coffee shop business management strategies to win competition in the lowlands. [ABSTRACT FROM AUTHOR]

Mining industrial areas with anthropogenic engineering structures are one of the most distinctive features of the real world. 3D models of the real world have been increasingly popular with numerous applications, such as digital twins and smart factory management. In this study, 3D models of mining engineering structures were built based on the CityGML standard. For collecting spatial data, the two most popular geospatial technologies, namely UAV-SfM and TLS were employed. The accuracy of the UAV survey was at the centimeter level, and it satisfied the absolute positional accuracy requirement of creating all levels of detail (LoD) according to the CityGML standard. Therefore, the UAV-SfM point cloud dataset was used to build LoD 2 models. In addition, the comparison between the UAV-SfM and TLS sub-clouds of facades and roofs indicates that the UAV-SfM and TLS point clouds of these objects are highly consistent, therefore, point clouds with a higher level of detail and accuracy provided by the integration of UAV-SfM and TLS were used to build LoD 3 models. The resulting 3D CityGML models include 39 buildings at LoD 2, and two mine shafts with hoistrooms, headframes, and sheave wheels at LoD 3. [ABSTRACT FROM AUTHOR]

Shared intentionality theory posits that at age 3, children expand their conception of plural agency to include 3- or more-person groups. We sought to determine whether this conceptual shift is detectable in children's pronoun use. We report the results of a series of Bayesian hierarchical generative models fitted to 479 English-speaking children's first-person plural, first-person singular, second-person, third-person plural, and third-person singular pronouns. As a proportion of pronouns, children used more first-person plural pronouns, only, after 3;0 compared to before. Additionally, children used more 1pp. pronouns when their mothers used more 1pp. pronouns. As a proportion of total utterances, all pronoun classes were used more often as children aged. These findings suggest that a shift in children's social conceptualizations at age 3 is reflected in their use of 1pp. pronouns. [ABSTRACT FROM AUTHOR]

To overcome disability and default in process quality control and failure of traditional quality management in job shop manufacturing and customised orders, which are important issues in lean production, we investigate a sustainable quality control of plant-wide production process. In this paper, we construct the mechanisms consisting of pre-production quality prevention, quality control of production process and post-production feedback, using modified turtle diagram and VDA-based evaluation model. After the application of the mechanism in a large heavy truck enterprise in Chine for three years, the average benefit of the enterprise reached 36.58 million yuan, the gross loss of the single after-sales service decreased by 37.4%, and the net loss decreased by 21.1%, which indicates improvement of capacity of sustainable development. Case above in our paper shows that the mechanism we put forward is effective and practical for continuous improvement of quality management and sustainable development of enterprises. Besides, it provides a further supplement to existing lean production theory. [ABSTRACT FROM AUTHOR]

This paper describes a framework for implementing Smart manufacturing Shop floor systems based on the Ubiquitous Augmented Reality technology (SSUAR). The proposed system makes use of data sharing between shop floor resources and a sensor network in order to optimise the production schedules for carrying out projects. The optimisation is performed in real-time and the production scheduling responds to new projects as well as the changing status of resources, such as machines and workers. Ubiquitous augmented reality interface has been developed and utilised as a user interface for the shop floor workers to receive information, instructions and guidance from the experts and manufacturing systems, and to update the systems on task parameters, such as estimated completion times, progress and machine status. A review of related work, methodology and implementation of the proposed system, and a case study are presented in this paper. Using this architecture, real-time scheduling of tasks in the smart shop floor can be achieved. The case study demonstrated the ability of SSUAR to integrate task scheduling with two-way communication between the system and the users. [ABSTRACT FROM AUTHOR]

Renewable energy systems are essential for carbon neutrality and energy savings in industrial facilities. Factories use a lot of electrical and thermal energy to manufacture products, but only a small percentage is recycled. Utilizing energy storage systems in industrial facilities is being applied as a way to cut energy costs and reduce carbon emissions. However, lithium-based batteries, which are predominantly used in traditional industries, face challenges in terms of affordability and reliability. Redox flow batteries, on the other hand, offer high power output and reliability, and are economical to manufacture for installations with high capacity. Although redox flow batteries are difficult to use in general electrical systems due to their small volume-to-capacity ratio, they can be easily utilized as energy storage devices in industrial parks or renewable energy parks with relatively little space constraints. In addition, since factories use a lot of heat energy in addition to electricity, utilizing combined heat and power can further reduce heat energy. In this study, we analyzed the cost estimation and economic feasibility of utilizing photovoltaics, redox flow cells, and combined heat and power to save energy in a factory's energy management system. [ABSTRACT FROM AUTHOR]

Tumour sampling is indispensable to diagnostic and therapeutic decision making. Thus, 18F-FDG PET/CT has the potential to accurately discriminate between viable and non-viable tissues due to its ability to characterise the metabolism of visible tissues. This study's objective was to evaluate the incremental utility of 18F-FDG PET-CT-guided metabolic biopsy in individuals with suspected lesions and a previous negative anatomical biopsy. This study included a total of 190 consecutive patients with probable malignancy and who had experienced a previous unsuccessful anatomical biopsy who underwent PET-CT-guided metabolic biopsy. We retrospectively analysed the patients' medical records and imaging investigations to assess demographics, complications, pathologies, and final clinical diagnoses. Using multivariate logistic regression, correlation between several confounding factors that lead to post-procedural problems was evaluated. Adequate material was obtained in all patients, and 162 (85%) were found to be positive for malignancy with a diagnostic yield of 96.9%. In 25 (13.1%) patients, post-procedural complications were reported, with pneumothorax being the most prevalent issue. In evaluating oncological patients, metabolic biopsy provides a safer alternative therapy with a high diagnostic yield and comparable complications. PET-CT, being an essential component of cancer staging, may serve as a one-stop shop for the management of these patients' conditions. [ABSTRACT FROM AUTHOR]

Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This case asks information systems analysts to assess the cybersecurity posture of a manufacturing company. The exercise works well as a group activity in an information systems course that addresses cybersecurity controls. The case introduces guidance from the National Institute of Standards and Technology, and learners develop work products consistent with the standards. The narrative provides high-level summaries of relevant cybersecurity standards. The case is based on a real company and actual projects, but the company name and specific details have been fictionalized and made more abstract to make this case relevant even when specific technologies evolve. Through this experience, students will learn the importance of a defense-in-depth strategy for securing information systems. [ABSTRACT FROM AUTHOR]

This study was conducted to support the process of Vietnamese garment companies in building smart factories with production activities that can be controlled automatically. It is a model for managing the system of machines in the factory using MS Access, which allows for updating machines information, searching for machines, reporting, and statistics. It allows for managing the information changes in the system, including machine information, warranty time, maintenance schedule, repair history, disposed of machines, and purchasing new machines. The system replaced a batch of manual operations and paperwork procedures with queries, macros, and reports. The results are labor cost savings, reduced costs, and increased machine utilization efficiency. [ABSTRACT FROM AUTHOR]

A shopping mall refers to a structure with several retail establishments managed as a single property that offers various products and services. It has become essential to the functioning of contemporary society, particularly for residents of urban and suburban areas. However, concerns or Issues regarding facilities and services In shopping malls continue to surface even today. Past studies have suggested that facility management Is a best practice for overcoming management and operation Issues. It also aligns with the Islamic principle as It Is beneficial knowledge relevant to the modern management approach. Therefore, this paper seeks to comprehend the potential facility management approach to shopping mall management. The main objective of this study Is to emphasize the Importance of facility management In shopping malls by evaluating consumer satisfaction. A survey Is conducted with a total sample of 200 respondents based on three facility management maintenance characteristics: functional, technical, and Image. One of the reputable shopping malls In Johor Bahru Is selected for this study because It attracts numerous visitors from throughout Johor Bahru. The results show that most of the visitors are pleased and satisfied with all three aspects from the dimension of facility management. [ABSTRACT FROM AUTHOR]

In this paper, optimal control models ruled by discrete and continuous stochastic descriptor systems are investigated in order. These descriptor systems are assumed to be regular and impulse-free. For settling discrete optimal control problems, a recurrence equation is proposed with the help of dynamic programming method. Then, optimal control problems for two types of discrete stochastic descriptor systems are considered and optimal solutions are presented by analytical expressions. To simplify continuous optimal control problems, an equation of optimality is derived according to the principle of optimality, and it reveals the essential connection between optimal value and optimal control. Two numerical examples and a factory management model are provided to illustrate the validness of above results. [ABSTRACT FROM AUTHOR]