Hasil untuk "Industrial engineering. Management engineering"

Michele Antonio Fino, Carmine Garzia

In the context of strategies for the promotion of a sustainable wine industry, the utilization of production regulations under the European Geographical Indications system is seldom contemplated. Furthermore, when such texts are considered, the focus is typically on rules for viticulture or winemaking, rather than on articles governing the boundaries of a PDO or PGI. The present study examines the manner in which regulatory innovation, when viewed from a strictly geographical perspective, can promote the sustainable growth of the sparkling wine districts of Franciacorta and Oltrepò Pavese, which are located in the Italian Lombardy region. Through a comparative analysis of Franciacorta and Oltrepò Pavese, we explore how regulatory frameworks, land-use constraints, and production capacities interact to shape environmental, social, and economic sustainability. Franciacorta’s premium positioning and global reputation are constrained by its limited geographic area, making expansion environmentally and socially challenging. In contrast, Oltrepò Pavese has substantial production potential, particularly for Pinot Noir-based classic-method sparkling wines but suffers from a fragmented identity and weak market recognition. Benchmarking the Prosecco PDO evolution, we propose a sustainability-oriented growth model integrating multiple territories under harmonized rules, termed “Grande Franciacorta”. This framework would enable controlled growth, reduce land pressure in high-density areas, enhance regional competitiveness, and support long-term ecological stewardship. This study outlines managerial implications for producers, emphasizing multi-tier product architectures, dynamic capabilities, and coordinated governance mechanisms. Policy recommendations highlight the need for regulatory frameworks that embed sustainability criteria, optimize land use, and consolidate regional reputation to ensure the long-term viability of high-quality sparkling wine production.

Світлана Шевченко, Юлія Жданова, Олексій Кія

У сучасному ландшафті кіберзагроз жоден програмний таф технічний засіб не може повністю компенсувати відсутність комплексного підходу до управління безпекою, що включає як технологічні, так і організаційні аспекти. Сучасні організації часто змушені відповідати вимогам декількох міжнародних стандартів одночасно (NIST CSF 2.0, ISO/IEC 27001:2022, COBIT 2019, CIS Controls v8) через регуляторні зобов'язання, вимоги клієнтів та внутрішні політики, що призводить до фрагментації зусиль, дублювання робіт та неефективного використання обмежених ресурсів. Дана стаття присвячена розробці напівавтоматизованого інструменту багатостандартної оцінки кіберзрілості, який дозволяє організаціям провести оцінку відповідності всім чотирьом фреймворкам через єдину точку входу — структуроване опитування за  фреймворком NIST CSF 2.0 як базового вимірювального інструменту, COBIT 2019 як механізму визначення цільового стану через пріоритизацію бізнес-процесів, ISO/IEC 27001:2022 як референсу документованих контролів та CIS Controls v8 як додаткової практичної деталізації для малих та середніх організацій (МСО). На основі систематичного аналізу наукової літератури та практичних кейсів обґрунтовано необхідність використання матриці відповідностей (mapping matrix) між стандартами для автоматичного відображення результатів оцінки у термінах всіх чотирьох фреймворків одночасно. Описано архітектуру інструменту та деталізовано логіку його роботи: від формування експертної групи та збору організаційного контексту до автоматизованого оцінювання поточного стану та генерації рекомендацій для цільового. Науковою новизною роботи є розробка практичного інструменту, що поєднує методологічні підходи, а саме: багатостандартну оцінку кіберзрілості організації через матрицю відповідностей між NIST CSF 2.0, ISO/IEC 27001:2022, COBIT 2019 та CIS Controls v8, яка дозволяє уникнути дублювання зусиль при відповідності множинним стандартам;  напівавтоматизацію оцінки з використанням об'єктивних структурованих опитувальників, що підвищує надійність та повторюваність результатів; валідацію результатів міждисциплінарною експертною групою за принципом «Human-in-the-Loop», що забезпечує врахування організаційного контексту. Охарактеризовано роль експертної групи як валідатора автоматично згенерованих даних та визначника організаційних пріоритетів, що дозволяє поєднати переваги автоматизації з гнучкістю експертного аналізу. Особливу увагу приділено економічній ефективності запропонованого рішення через використання загальнодоступних інструментів (Microsoft Excel) та можливості поетапного впровадження для МСО через систему груп впровадження CIS Controls (IG1→IG2→IG3). Результати дослідження можуть бути використані як практичний інструмент для організацій будь-якого розміру: малі організації можуть розпочати з базового рівня (CIS IG1) та поступово нарощувати зрілість, тоді як великі підприємства отримують комплексний огляд відповідності множинним стандартам через єдину модель оцінки без дублювання зусиль

Rungkanda Ong-art, Duangjai Puttasem

การวิจัยในครั้งนี้มีวัตถุประสงค์ 1) เพื่อศึกษาสภาพปัญหาการจัดกิจกรรมการจัดการเรียนรู้วิทยาการคำนวณของครูผู้สอน สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร และ 2) เพื่อศึกษาแนวทางการจัดกิจกรรมการเรียนรู้วิทยาการคำนวณของครูผู้สอน สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร กลุ่มตัวอย่างในการศึกษาในครั้งนี้คือครูผู้สอนรายวิชาวิทยาการคำนวณ สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร อำเภอเมือง จังหวัดพิจิตร จำนวน 30 คน โดยวิธีการสุ่มแบบโควต้า เครื่องมือในการศึกษาคือ แบบสอบถามสภาพปัญหาในการจัดกิจกรรมการเรียนรู้สำหรับครูผู้สอนวิทยาการคำนวณ สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร สถิติที่ใช้ในการวิเคราะห์ข้อมูลได้แก่ ร้อยละ และค่าเฉลี่ย ผลการศึกษาครั้งนี้พบว่า 1) สภาพปัญหากิจกรรมการจัดการเรียนรู้วิทยาการคำนวณของครูผู้สอน สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร  เมื่อพิจารณาประเด็น พบว่า การจัดกิจกรรมการเรียนการสอนให้ผู้เรียนใช้แนวคิดเชิงคำนวณ ที่มีปัญหามาก มีค่าเฉลี่ยเท่ากับ 3.80  และ 2) ผลการศึกษาแนวทางการจัดกิจกรรมการเรียนรู้วิทยาการคำนวณของครูผู้สอน สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาพิจิตร ได้ใช้หลักการโมเดลแอดดี้มาเป็นแนวทางเสนอแนะ

Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo et al.

Online platforms have become the primary means for travellers to search, compare, and book accommodations for their trips. Consequently, online platforms and revenue managers must acquire a comprehensive comprehension of these dynamics to formulate a competitive and appealing offerings. Recent advancements in natural language processing, specifically through the development of large language models, have demonstrated significant progress in capturing the intricate nuances of human language. On the other hand, knowledge graphs have emerged as potent instruments for representing and organizing structured information. Nevertheless, effectively integrating these two powerful technologies remains an ongoing challenge. This paper presents an innovative deep learning methodology that combines large language models with domain-specific knowledge graphs for classification of tourism offers. The main objective of our system is to assist revenue managers in the following two fundamental dimensions: (i) comprehending the market positioning of their accommodation offerings, taking into consideration factors such as accommodation price and availability, together with user reviews and demand, and (ii) optimizing presentations and characteristics of the offerings themselves, with the intention of improving their overall appeal. For this purpose, we developed a domain knowledge graph covering a variety of information about accommodations and implemented targeted feature engineering techniques to enhance the information representation within a large language model. To evaluate the effectiveness of our approach, we conducted a comparative analysis against alternative methods on four datasets about accommodation offers in London. The proposed solution obtained excellent results, significantly outperforming alternative methods.

Nakharin Ingo, Budsarathip Phatichaikiart, Sakpod Tongleamnak et al.

The art of silk weaving has been transferred through generations as part of folk wisdom. Every locality has its distinct silk pattern design. Expertise and familiarity with silk are necessary for the classification of silk patterns. Therefore, only a few experts can recognize the silk's pattern. This study aims to implement a system for classifying silk patterns using image processing technology to help identify silk patterns from images. This research collected silk pattern data from the Chonnabot district, Khon Kaen Province. We selected 15 silk patterns and collected a total of 2,156 images. We examined two convolutional neural networks (CNNs), which differed in feature extraction and regularization via the dropout technique. The experimental results showed that CNN model 1 achieved an F1-score of 0.62. The CNN model 2, in which feature extraction using the pre-trained model was added to the CNN model 2, achieved an F1-score of 0.92, which can assist in resolving the confusion in silk pattern classification.

Ana Claudia Lara, Elizangela Maria Pas Menegon, Simone Sehnem et al.

Abstract: Companies strive for superior results. Focusing on return, performance, and profitability is mainstream; this reasoning is constantly present in the decisions of the strategic operational management of companies. Based on this assumption, the objective of this work is to evaluate empirically whether the degree to which a company implements a combination of Just in Time (JIT) or Lean Manufacturing practices systematically affects the company's operational, financial, and/or organisational performance. For this, a meta-analysis was carried out; the final sample consisted of 28 articles, with 41 studies and 12,708 included subjects who provided the effects that explain the proposed relationship. The data were collected in the Web of Science, EBSCO, and Science Direct databases, with an open period, considering all works available until July 2020. Among the main findings, JIT practices and the company's operational performance present a positive, significant, medium effect. Lean manufacturing practices demonstrate a positive and significant relationship in operational, financial, and organisational performance, all with an average impact on the effect size. No direct relationship was found between the JIT variables and organisational performance (financial, operational, and environmental), based on the TBL. Additional research is needed regarding the relationship of JIT and Lean Manufacturing practices with the organisational performance (financial, operational, and environmental) based on the TBL, as well as an in-depth analysis of previous research related to green Lean practices and their relationship with organisational performance, based on the TBL.

محمد جلینی, محمد کریمی, جواد باغانی

باتوجه ‏به کمبود آب در کشور، بهبود مدیریت آبیاری مزارع سیب‌زمینی می‌تواند کاهش مصرف آب و افزایش بهره‏ وری آب این محصول مهم را به همراه داشته باشد. به این منظور، لازم است اطلاع کافی و دقیقی از وضعیت میزان آب کاربردی و بهره‌وری آب در شرایط مدیریت زارعین وجود داشته باشد. ازاین‏‌رو میزان آب کاربردی، عملکرد و بهره‌وری آب در شرایط مدیریت زارعین در دو منطقه عمده تولید سیب‌زمینی در استان خراسان رضوی بررسی شد. دو منطقه فریمان و تربت حیدریه با بیشترین سطح زیرکشت و تولید محصول سیب ‏زمینی به‏ عنوان شهرستان‏‌های پایلوت انتخاب شدند. روش آبیاری تمام مزارع، روش قطره‏‌ای (تیپ) بود. در مزارع آزمایشی، خصوصیات آبی و زراعی، مشخصات منبع آب و شبکه آبیاری، داده‌های هواشناسی مورد نیاز، حجم آب کاربردی، عملکرد سیب‌زمینی و بهره‌وری آب در سال زراعی 1398 اندازه‌گیری شد. همچنین حجم آب کاربردی توسط کشاورزان با نیازآبیاری برآورد شده براساس داده‌های هواشناسی سال 98 و ده ساله اخیر محاسبه شده به روش پنمن- مانتیث مقایسه شد. مقدار آب کاربردی بر اساس داده‌های هواشناسی سال 98 حدود 26 درصد و نسبت به آمار 10 ساله حدود 15 درصد بیشتر بود. نتایج همچنین نشان داد، حجم آب کاربردی سیب‌زمینی در مزارع مورد مطالعه از 9888 تا 14573 مترمکعب در هکتار متغیر و میانگین آن 11885 مترمکعب در هکتار بود. عملکرد سیب‌زمینی در مزارع منتخب از 28600 تا 60000 کیلوگرم ‌بر هکتار متغیر و میانگین آن 40399 کیلوگرم ‌بر هکتار بود. بهره‌‏وری آب از 2/22 تا 5/25 متغیر و میانگین 3/42 کیلوگرم ‌بر مترمکعب بود.

Dorota Michałowska-Maziejuk, Barbara Goszczyńska

This paper presents the analysis of the results of research on concrete compressive strength on cubic samples, in the early stage of its curing (after 7, 14, and 28 days). The analysis considers the variable water-cement ratio. Statistical and strength parameters were assessed, estimating the quality of the obtained concrete at the same time. Verification of the expected C25/30 concrete grade was carried out from the recipe provided by the prefabrication plant. Then, the grammage of individual components was adjusted to obtain the grade of concrete assumed by the authors. The article estimates the concrete grade based on strength parameters in three stages of concrete curing. The concrete was then compared with the concrete class calculated based on standard procedures (EC2 procedures), which could be reached after 28 days. The paper also provides an overview of the most used methods of testing concrete compressive strength.

Alexandru Anichiti, Larisa-Loredana Dragolea, Georgia-Daniela Tacu Hârșan et al.

This study investigates safety and security from the perspective of Romanian tourists by assessing the level of importance that tourists give to safety and security depending on the level of classification of the services they experienced and the generation to which they belong. We used a quantitative research method in the form of a questionnaire and analysed eight dimensions of safety and security: detectors, emergency preparedness, medical preparedness, staff security, guestroom security, pool and beach security, hotel access control, and cyber security. We identified the differences between tourists’ perception of safety and security depending on the level of classification of accommodation services and on generation.

G. Billen, J. Garnier, L. Lassaletta

Morgiève, Margot, Genty, Catherine, Azé, Jérôme et al.

BackgroundMany suicide risk factors have been identified, but traditional clinical methods do not allow for the accurate prediction of suicide behaviors. To face this challenge, emma, an app for ecological momentary assessment (EMA), ecological momentary intervention (EMI), and prediction of suicide risk in high-risk patients, was developed. ObjectiveThe aim of this case report study was to describe how subjects at high risk of suicide use the emma app in real-world conditions. MethodsThe Ecological Mental Momentary Assessment (EMMA) study is an ongoing, longitudinal, interventional, multicenter trial in which patients at high risk for suicide are recruited to test emma, an app designed to be used as a self-help tool for suicidal crisis management. Participants undergo clinical assessment at months 0, 1, 3, and 6 after inclusion, mainly to assess and characterize the presence of mental disorders and suicidal thoughts and behaviors. Patient recruitment is still ongoing. Some data from the first 14 participants who already completed the 6-month follow-up were selected for this case report study, which evaluated the following: (1) data collected by emma (ie, responses to EMAs), (2) metadata on emma use, (3) clinical data, and (4) qualitative assessment of the participants' experiences. ResultsEMA completion rates were extremely heterogeneous with a sharp decrease over time. The completion rates of the weekly EMAs (25%-87%) were higher than those of the daily EMAs (0%-53%). Most patients (10/14, 71%) answered the EMA questionnaires spontaneously. Similarly, the use of the Safety Plan Modules was very heterogeneous (2-75 times). Specifically, 11 patients out of 14 (79%) used the Call Module (1-29 times), which was designed by our team to help them get in touch with health care professionals and/or relatives during a crisis. The diversity of patient profiles and use of the EMA and EMI modules proposed by emma were highlighted by three case reports. ConclusionsThese preliminary results indicate that patients have different clinical and digital profiles and needs that require a highly scalable, interactive, and customizable app. They also suggest that it is possible and acceptable to collect longitudinal, fine-grained, contextualized data (ie, EMA) and to offer personalized intervention (ie, EMI) in real time to people at high risk of suicide. To become a complementary tool for suicide prevention, emma should be integrated into existing emergency procedures. Trial RegistrationClinicalTrials.gov NCT03410381; https://clinicaltrials.gov/ct2/show/NCT03410381

Wojciech J. Nowak, Małgorzata Tomków, Patrycja Wierzba et al.

The Ni-base superalloys facing high temperature require further protection against high temperature oxidation. One of the most common methods providing high temperature oxidation resistance is the production of aluminide layers (NiAl-coatings). It is known that the thickness of produced diffusion layer can be controlled by the temperature and time of aluminization process. However, no research on the effect of surface roughness on aluminization kinetics was conducted so far. Then, to elucidate the effect of surface roughness on aluminization kinetics, diffusion layers were obtained by an in-pack aluminization method on the IN 617 alloy with differently prepared surfaces, namely polished, ground using 220 grit SiC paper and 80 grit SiC paper. The obtained results revealed that different surface preparation does not affect the chemical and phase composition of produced layers. However, a strong influence of surface preparation method on aluminide layers thicknesses was observed. Namely, it was found that the increase in substrate surface roughness results in an increase of aluminization kinetics. The dependence between surface roughness and thickness of aluminide layers was found to be logarithmic. Moreover, it was found that the aluminization kinetics is influenced, especially at early stages of the aluminization process.

Alif Al-Fadhilah Nur Wahyudin, Aji Primajaya, Agung Susilo Yuda Irawan

PT.Astra International Tbk – Isuzu adalah perusahaan yang bergerak dalam bidang otomotif khususnya adalah mobil. Penjualan PT.Astra International Tbk – Isuzu setiap tahunnya mengalami perubahan yang tidak menentu, hal tersebut dapat mempengaruhi jumlah produksi. Dari permasalahan tersebut, maka perlu adanya Estimasi dalam jumlah produksi setiap tahunnya agar tidak terjadi produksi yang berlebihan. Penelitian ini menggunakan Algoritma Regresi Linear Berganda dengan menerapkan metode  Cross Industry Standard Process for Data mining (CRISP-DM), Algoritma Regresi Linear Berganda bertujuan untuk mencari nilai persamaan regresi dengan menggunakan tools SPSS24. Setelah mendapatkan persamaan regresi tersebut dilakukan perhitungan secara manual untuk menemukan estimasi penjualan PT.Astra International Tbk – Isuzu pada tahun 2020, pada penelitian digunakan 2 variabel independen yaitu cabang (X1) dan type (X2) dan 1 variabel  dependen yaitu Penjualan (Y). Berdasarkan perhitungan Algoritma Regresi Linear Berganda menggunakan tools SPSS24 ditemukan hasil nilai FHitung sebesar 48,657 dengan nilai signifikansi 0,000 yang berarti bahwa variabel X1 dan X2 mempengaruhi dari vairabel Y dengan nilai R2=74,7% dan nilai MAD=0,0607 Hasil penelitian ini mendapatkan estimasi penjualan PT.Astra International Tbk – Isuzu tahun 2020 sebanyak 12.223, penelitian ini juga dapat digunakan sebagai acuan perusahaan agar dapat mengestimasi berapa jumlah yang akan di produksi.

Gordon A. Robb, V. Novotny, H. Olem

A. Olness

A. M. Akhmetvaleev, Alexey S. Katasev

This article solves the problem of vehicles drivers intoxication functional statedetermining. Its solution is relevant in the transport security field during pre-trip medical examination. The problem solution is based on the papillomometry method application, which allows to evaluate the driver state by his pupillary reaction to illumination change. The problem is to determine the state of driver inebriation by the analysis of the papillogram parameters values - a time series characterizing the change in pupil dimensions upon exposure to a short-time light pulse. For the papillograms analysis it is proposed to use a neural network. A neural network model for determining the drivers intoxication functional state is developed. For its training, specially prepared data samples are used which are the values of the following parameters of pupillary reactions grouped into two classes of functional states of drivers: initial diameter, minimum diameter, half-constriction diameter, final diameter, narrowing amplitude, rate of constriction, expansion rate, latent reaction time, the contraction time, the expansion time, the half-contraction time, and the half-expansion time. An example of the initial data is given. Based on their analysis, a neural network model is constructed in the form of a single-layer perceptron consisting of twelve input neurons, twenty-five neurons of the hidden layer, and one output neuron. To increase the model adequacy using the method of ROC analysis, the optimal cut-off point for the classes of solutions at the output of the neural network is determined. A scheme for determining the drivers intoxication state is proposed, which includes the following steps: pupillary reaction video registration, papillogram construction, parameters values calculation, data analysis on the base of the neural network model, drivers condition classification as "norm" or "rejection of the norm", making decisions on the person being audited. A medical worker conducting driver examination is presented with a neural network assessment of his intoxication state. On the basis of this assessment, an opinion on the admission or removal of the driver from driving the vehicle is drawn. Thus, the neural network model solves the problem of increasing the efficiency of pre-trip medical examination by increasing the reliability of the decisions made.

Atefeh Sadat Haghighat Hoseini, Hossein Bobarshad, Fatemeh Saghafi et al.

Background and Aim: The emergence of Web interactive technologies has enabled interactive social networking services. The purpose of this research is to choose a model and present an architectural design for the social network of health at Shariati Hospital in Tehran. Materials and Methods: At first, valid enterprise architecture frameworks were reviewed. Then, dimensions of the architecture frameworks needed for the social network of health were reviewed and six dimensions including of input, output, goals, views, abstraction, and system life cycle were selected. Architecture frameworks were prioritized on the basis of these six dimensions and the Zachman framework was selected. The extracted elements for these dimensions were evaluated by using a researcher-made questionnaire and experts’ opinion in the t-test. The questionnaire was distributed among 40 health-care information technology experts. After analyzing and verifying the dimensions and sub-indicators of each dimension, probable risks for the implementation of the health social network were identified based on interviews with experts and were approved by a panel of five experts. Results: The Zachman framework was selected based on six dimensions as a suitable framework and potential implementation risks were identified. Conclusion: The results showed that the proposed architecture model could be the basis for the implementation of this network in the country. Attention to extracted risks can minimize the failure of the implementation of the health social network.

Baocheng Wang, Yafei Hu, Yu Xiao et al.

Scheduling EV user’s charging behavior based on charging price and applying renewable energy resources are the effective methods to release the load pressure of power grids brought about by the large-scale popularity of electric vehicles (EVs). This paper presents a novel approach for EV charging scheduling based on price negotiation. Firstly, the EV charging system framework based on price negotiation and renewable energy resources is discussed. Secondly, the price negotiation model is presented, including the initial price models and the conditions of transactions. Finally, an EV charging scheduling mechanism based on price negotiation (CSM-PN), including the price adjustment strategies of both the operator and EV users is proposed to seek a final transaction during multi-round price negotiation. Simulation results show that this novel approach can effectively improve the charging station operator’s income, reduce the EV users’ costs, and balance the load of the power grid while improving the efficiency of the EV charging system.

N. Duić, K. Urbaniec, D. Huisingh

Á. García-Beltrán, R. Martínez, J. Jaén et al.

In this work, several activities that can be carried out by means of self-assessment modules of web-based learning management systems are described. Some self-assessment experiences developed by the authors and other teachers of the ETSI Industriales of the Universidad Politecnica de Madrid in activities of different courses taught in this engineering faculty are explained. The learning management system used in these experiences is AulaWeb.