Operations Research, Systems Engineering and Industrial Engineering Commons^™

Machine Learning In Requirements Elicitation: A Literature Review, Cheligeer Cheligeer, Jingwei Huang, Guosong Wu, Nadia Bhuiyan, Yuan Xu, Yong Zeng

Engineering Management & Systems Engineering Faculty Publications

A growing trend in requirements elicitation is the use of machine learning (ML) techniques to automate the cumbersome requirement handling process. This literature review summarizes and analyzes studies that incorporate ML and natural language processing (NLP) into demand elicitation. We answer the following research questions: (1) What requirement elicitation activities are supported by ML? (2) What data sources are used to build ML-based requirement solutions? (3) What technologies, algorithms, and tools are used to build ML-based requirement elicitation? (4) How to construct an ML-based requirements elicitation method? (5) What are the available tools to support ML-based requirements elicitation methodology? Keywords …

Precursors Of Email Response To Cybersecurity Scenarios: Factor Exploration And Scale Development, Miguel A. Toro-Jarrin, Pilar Pazos-Lago, Miguel Padilla

Engineering Management & Systems Engineering Faculty Publications

In the last decade, information security research has further expanded to include human factors as key elements of the organization's cybersecurity infrastructure. Numerous factors from several theories have been explored to explain and predict the multitude of information security-related behaviors in organizations. Lately, there has been a call for the study of specific cybersecurity behaviors in contextualized scenarios that reflect specific and realistic situations of a potential cyber-attack. This paper focuses on precursors of email response in situations that can be the origin of cybersecurity incidents in organizations (i.e., phishing attacks, ransomware, etc.). This study explores participants' intentions to follow …

Theorizing The Initial Response Of Countries In Bringing Covid-19 Pandemic Under Control: The Effect Of Change Readiness Of Countries, M. Mahdi Moeini Gharagozloo, Farinaz Sabz Ali Pour, Chen Chen, Mozhgan Moeini Gharagozloo

Engineering Management & Systems Engineering Faculty Publications

Pandemic crises can bring the biggest and deepest shocks to countries around the world. In the first quarter of 2020, a global pandemic named “COVID-19” spread all over the world and not only took so many lives and created so much fear but also brought a tremendous financial pain as a result of shutting down economies to fight with this unknown contagious virus. This paper examines how countries’ change readiness enables them to bring the spread of an international crisis under control. We propose that higher levels of change readiness would help countries to cope with risks and uncertainties generated …

Managing Stochastic Bucket Brigades On Discrete Work Stations, Peng Wang, Kai Pan, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Bucket brigades are notably used to coordinate workers in production systems. We study a J-station, I-worker bucket brigade system. The time duration for each worker to serve a job at a station is exponentially distributed with a rate that depends on the station's expected work content and the worker's work speed. Our goal is to maximize the system's productivity or to minimize its inter-completion time variability. We analytically derive the throughput and the coefficient of variation (CV) of the inter-completion time. We study the system under two cases. (i) If the work speeds depend only on the workers, the throughput …

A Primer On The Human Readiness Level Scale (Ansi/Hfes 400-2021), Kelly Steelman, Holly Handley, Katie Plant (Ed.), Gesa Praetorius (Ed.)

Engineering Management & Systems Engineering Faculty Publications

"The Human Readiness Level (HRL) Scale is a simple 9-level scale for evaluating, tracking, and communicating the readiness of a technology for safe and effective human use. It is modeled after the well-established Technology Readiness Level (TRL) framework that is used throughout the government and industry to communicate the maturity of a technology and to support decision making about technology acquisition. Here we (1) introduce the ANSI/HFES 400-2021 Standard that defines the HRL scale and (2) provide concrete examples of evaluation activities to support the application of HRLs in the development of automated driving systems."

Examining Cognitive Empathy Elements Within Ai Chatbots For Healthcare Systems, Lamia Alam

Dissertations, Master's Theses and Master's Reports

Empathy is an essential part of communication in healthcare. It is a multidimensional concept and the two key dimensions: emotional and cognitive empathy allow clinicians to understand a patient’s situation, reasoning, and feelings clearly (Mercer and Reynolds, 2002). As artificial intelligence (AI) is increasingly being used in healthcare for many routine tasks, accurate diagnoses, and complex treatment plans, it is becoming more crucial to incorporate clinical empathy into patient-faced AI systems. Unless patients perceive that the AI is understanding their situation, the communication between patient and AI may not sustain efficiently. AI may not really exhibit any emotional empathy at …

Grinding And Super-Finishing Test Machine Project, Michael Simon

Williams Honors College, Honors Research Projects

A research project in The University of Akron to study grinding and super-finishing of silicon nitride ceramic was initiated by Dr. Siamak Farhad and sponsored by the Timken Company, with the assistance of undergraduate students Michael Simon, Ryan Hosso and Mathew Rozmajzl. The study required analysis of forces and scratches generated during grinding processes of silicon nitride samples. A testing assembly was designed and constructed to record the forces generated during grinding and super-finishing of silicon nitride samples in a computer-numerical-control machine. Silicon nitride samples were subjected to desired grinding and super-finishing operations and all forces generated during the process …

Human Ergonomic Simulation To Support The Design Of An Exoskeleton For Lashing/De-Lashing Operations Of Containers Cargo, Francesco Longo, Antonio Padovano, Vittorio Solina, Virginia D' Augusta, Stefan Venzl, Roberto Calbi, Michele Bartuni, Ornella Anastasi, Rafael Diaz

VMASC Publications

Lashing and de-lashing operations of containers cargo on board containerships are considered as quite strenuous activities in which operators are required to work continuously over a 6 or 8 hours shift with very limited break. This is mostly because containerships need to leave the port as soon as possible and containers loading and unloading operations must be executed with very high productivity (stay moored in a port is a totally unproductive time for a ship and a loss-making business for a shipping company). Operators performing lashing and de-lashing operations are subjected to intense ergonomic stress and uncomfortable working postures. To …

Combining Green Metrics And Digital Twins For Sustainability Planning And Governance Of Smart Buildings And Cities, Casey R. Corrado, Suzanne M. Delong, Emily G. Holt, Edward Y. Hua, Andreas Tolk

VMASC Publications

Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes …

Green Supplier Evaluation And Selection For A Furniture Sales Company, Jiahao Li

Chulalongkorn University Theses and Dissertations (Chula ETD)

This paper proposes a supplier evaluation method for a furniture sales company in China that focuses on the evaluation process and sustainability of business operation. Firstly, we have arranged a meeting with experts from various fields to gather information concerning evaluation problems and choices of evaluation indicators. We then go through the literature in the field of supplier evaluations to create a new green supplier evaluation indicator system comprising of 5 first-level and 19 second-level evaluation indicators. Once selected, the Fuzzy-entropy-TOPSIS approach has been adopted for the evaluation of 13 suppliers via MATLAB. We find that, among these suppliers, S1 …

Critical Success Factors For Data Warehouse Implementation In An Industrial Associations Organization, Phatnarin Khantayana

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this research is to delve into the key success factors (CSFs) associated with data warehouse (DW) implementation from the perspectives of various stakeholders within an organization. A data warehouse provides a unified and structured view of an organization's data for analysis and reporting, and successfully implementing such a system can have a significant impact on overall organizational performance. It enables better data management, facilitates improved decision-making, and enhances strategic planning. The scope of this research encompasses an in-depth examination of the core CSFs that are instrumental in achieving success during data warehouse deployments. It focuses on understanding …

Demand Forecasting And Inventory Management For An Automotive Tire Distributor In Northeast Thailand, Vasinee Chantaraponpun

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of this research is to improve the inventory management for an automotive tire distributor company in Northeast Thailand to mainly reduce the excessive unnecessary stock. According to the initial investigations, the main causes of overstock are unstable customer demands and a lack of an inventory control system based on theory. In order to better address the issues and scope down the research area, three suitable products and sub-dealers with different demand patterns are selected to find the best-fit forecasting model for each of them and be customized the inventory policy based on the demand patterns. The methodology is …

Optimizing Energy Efficiency Projects In Bangkok Large Commercial Buildings, Angelica Arisa Morgan

Chulalongkorn University Theses and Dissertations (Chula ETD)

As a significant contributor to greenhouse gas emissions in the Asia Pacific region, Thailand has pledged to lower its GHG emissions by 555 million tCO2e by the year 2030. In Bangkok, energy efficiency projects in the large commercial buildings sector are an integral method by which to reduce emissions and to support a lower carbon future. Besides carbon dioxide emissions, energy efficiency projects also have the potential for other benefits including electricity and cost savings. This study develops a methodology to quantify the emissions reduction, electricity savings, and cost savings potential of various energy efficiency methods in this sector, and …

Multi-Objective Vehicle Loading And Routing Problem For Fresh Fruit And Vegetable Transportation, Supisara Krairiksh

Chulalongkorn University Theses and Dissertations (Chula ETD)

Multi-compartment refrigerated vehicles are recently utilized in the cold chain industry, due largely to their flexibility in storage capacities with different temperature settings. To better comprehend the costs and benefits of this vehicle type in fresh fruits and vegetable transportation, a multi-compartment vehicle routing and loading problem (MCVRLP) with three different objectives – namely (i) minimizing total transportation cost, (ii) minimizing CO2 emissions, and (iii) minimizing weight loss of fresh fruits and vegetable – is herein explored and solved by mathematical formulation and genetic-based evolutionary algorithm approaches. Based on our computational results, we find that large and complicated MCVRLP instances …

Bitcoin Candlestick Price Prediction With Recurrent Neural Network, Sutiwat Simtharakao

Chulalongkorn University Theses and Dissertations (Chula ETD)

Bitcoin is a high-risk asset with a potentially high return. Predicting Bitcoin candlestick, i.e., open, high, low, and close (OHLC) prices, can help investors make trading decisions. The objective of this study is to develop a neural network model to predict the candlestick prices of Bitcoin for the next period. Additionally, this study investigates methods to enhance the model's forecasting performance by feature transformations, specifically data normalization. This study employs two neural network algorithms, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), to forecast daily Bitcoin OHLC prices. To enhance the model's performance, we compare sliding window normalization with …

การประยุกต์ใช้โดโลไมต์จากดินตะกอนเหมืองหินปูนสำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด, กรบงกช วรนาถสุรงค์

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อประยุกต์ใช้โดโลไมต์จากดินตะกอนเหมืองหินมาเป็นสารตัวเติมผสมกับมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด โดยหาสัดส่วนที่ให้คุณภาพตามเกณฑ์มาตรฐานปุ๋ยอินทรีย์กรมวิชาการเกษตร เพื่อเพิ่มมูลค่าให้ดินตะกอนเหมืองหิน และสามารถลดต้นทุนการผลิตปุ๋ยอินทรีย์อัดเม็ดได้ โดยงานวิจัยนี้ ใช้ดินตะกอนเหมืองหินกรณีศึกษาในจังหวัดชุมพรที่มีคุณสมบัติเทียบเท่าโดโลไมต์ นำมาผสมมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ดทั้งหมด 7 สัดส่วน ได้แก่ 0:100 (T0), 10:90 (T1), 20:80 (T2), 30:70 (T3), 40:60 (T4), 50:50 (T5) และ 60:40 (T6) และวางแผนการปลูกทดลองแบบสุ่มอย่างสมบูรณ์ (Completely Randomized Design: CRD) กับผักสลัด 2 ชนิด คือ กรีนโอ๊ค และกรีนคอส โดยใช้ดินของจังหวัดปทุมธานี เพื่อทำการเปรียบเทียบกับสัดส่วนที่ควบคุม (T0) จำนวน 3 ซ้ำ ผลการศึกษาพบว่า สัดส่วนที่ T0 – T4 มีคุณสมบัติทางเคมีทั้งหมดผ่านเกณฑ์มาตรฐานปุ๋ยอินทรีย์กรมวิชาการเกษตร คุณสมบัติทางเคมีและทางกายภาพของดินหลังปลูกดีขึ้นโดยเฉพาะสัดส่วนที่ T3 และ T4 สัดส่วนโดโลไมต์ที่มากขึ้นส่งผลให้ดินมีความโปร่งพรุนมากขึ้น ผลการเจริญเติบโตและผลผลิตในสัดส่วนที่ T0 – T4 นั้นไม่มีความแตกต่างกันอย่างมีนัยสำคัญทางสถิติทั้งกรีนโอ๊คและกรีนคอส แต่สัดส่วนที่ T4 ให้ผลผลิตน้อยสุด เพราะสัดส่วนของมูลไก่ที่เป็นแหล่งธาตุอาหารพืชหลักของผักสลัดน้อยลง ดังนั้นสัดส่วนโดโลไมต์จากดินตะกอนเหมืองหินกรณีศึกษาแห่งนี้ที่ใช้เป็นสารตัวเติมผสมกับมูลไก่สำหรับการผลิตปุ๋ยอินทรีย์อัดเม็ด ที่ดีที่สุด คือ สัดส่วนของโดโลไมต์ต่อมูลไก่ที่ 30 : 70 (T3) ซึ่งสามารถลดต้นทุนการผลิตปุ๋ยอินทรีย์อัดเม็ดได้ถึง 24.41%

Implementation Of Good Distribution Practice In A Pharmaceutical Manufacturer, Pana Chinajitphan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Good Distribution Practice (GDP) has recently been adopted and practised by Thailand's pharmaceutical industry, which has complemented the supply chain perspective and radically changed the quality landscape of the industry. This study presents a case of a pharmaceutical manufacturer in Thailand that implemented GDP to ensure the quality of its products during storage and distribution processes, as well as to prevent the entry of falsified products into the Pharmaceutical Supply Chain (PSC). The GDP implementation combined Project Management and Quality Risk Management (QRM) to identify operational gaps, manage identified risks, and reduce GDP gaps. After analysing internal stakeholders, related teams …

แนวทางการตัดสินใจการนำหุ่นยนต์มาใช้ทดแทนหรือปฏิบัติร่วมกับพนักงานในการทำงาน, ชนาธิป ทองดอนน้อย

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้ให้ความสำคัญเกี่ยวกับกรอบการตัดสินใจสำหรับการนำหุ่นยนต์ร่วมปฏิบัติการหรือโคบอท เข้ามาใช้แทนที่แรงงานมนุษย์และ/หรือเพื่อทำงานร่วมกับคนงาน ในกรณีศึกษาของบริษัทที่ผลิตเลนส์แว่นตาผู้บริหารระดับสูงต้องการนำหุ่นยนต์ร่วมปฏิบัติการเข้ามาใช้ในกระบวนการคัดแยกชิ้นงาน เนื่องจากกระบวนการนี้เป็นกระบวนการทำงานแบบซ้ำ ๆ ซึ่งส่งผลกระทบให้พนักงานเกิดความเมื่อยล้าและความเจ็บป่วยทางการยศาตร์ ในการตัดสินใจสำหรับการนำหุ่นยนต์ร่วมปฏิบัติการทางโรงงานกรณีศึกษาได้ทำการพิจารณาเพียงด้านการเงินโดยไม่คำนึงถึงปัจจัยสำคัญอื่นๆ ดังนั้นบทความนี้จึงมุ่งเน้นสำรวจปัจจัยที่มีบทบาทสำคัญในการตัดสินใจใช้หุ่นยนต์ร่วมปฏิบัติการในสายการผลิต โดยการวิเคราะห์ปัจจัยเชิงสำรวจ (EFA) และการวิเคราะห์ปัจจัยเชิงยืนยัน (CFA) ซึ่งเป็นขั้นตอนทางสถิติหลายตัวแปร ถูกนำมาใช้ในการวิเคราะห์ปัจจัยที่เกี่ยวข้องกับตัวแปรแฝง นอกจากนี้ได้ทำการจำลองสถานการณ์ด้วยโปรแกรม ARENA เพื่อตรวจสอบประโยชน์ของการนำโคบอทไปใช้ในกรณีศึกษาอีกด้วย

Submaximal Electromyography-Driven Musculoskeletal Modeling Of The Human Trunk During Static Tasks: Equilibrium And Stability Analyses, Farshid Ghezelbash, Aboulfazl Shirazi-Adl, Denis Gagnon, Ali Shahvarpour, Navid Arjmand, Amir Hossein Eskandari, Christian Larivière

Études primaires

Conventional electromyography-driven (EMG) musculoskeletal models are calibrated during maximum voluntary contraction (MVC) tasks, but individuals with low back pain cannot perform unbiased MVCs. To address this issue, EMG-driven models can be calibrated in submaximal tasks. However, the effects of maximal (when data points include the maximum contraction) and submaximal calibration techniques on model outputs (e.g., muscle forces, spinal loads) remain yet unknown. We calibrated a subject-specific EMG-driven model, using maximal/submaximal isometric contractions, and simulated different independent tasks. Both approaches satisfactorily predicted external moments (Pearson’s correlation ∼ 0.75; relative error = 44%), and removing calibration tasks under axial torques markedly improved …

Performance Degradation Based On Importance Change And Application In Dissimilar Redundancy Actuation System, Yadong Zhang, Chao Zhang, Shaoping Wang, Rentong Chen, Mileta M. Tomovic

Engineering Technology Faculty Publications

The importance measure is a crucial method to identify and evaluate the system weak link. It is widely used in the optimization design and maintenance decision of aviation, aerospace, nuclear energy and other systems. The dissimilar redundancy actuation system (DRAS) is a key aircraft control subsystem which performs aircraft attitude and flight trajectory control. Its performance and reliability directly affect the aircraft flight quality and flight safety. This paper considers the influence of the Birnbaum importance measure (BIM) and integrated importance measure (IIM) on the reliability changes of key components in DRAS. The differences of physical fault characteristics of different …

The Relationship Between First Case On-Time Starts, Turnover Times, And Operating Room Productivity, Rhafia Bucoy

Walden Dissertations and Doctoral Studies

Operating room (OR) managers struggle to manage day-to-day surgical operations while meeting and exceeding organizational productivity amid the COVID-19 pandemic. The deferral of surgeries contributes to millions of backlogs of surgical case volume and unintended negative consequences. Grounded in the proposition that first-case on-time starts (FCOTS) and turnover time (TOT) are correlates of OR productivity, the purpose of this quantitative correlational study was to examine the relationship between FCOTS, TOT, and OR productivity. Archival data from 136 electronic surgical records were collected from two free-standing ambulatory surgery centers and analyzed using multiple regression. The results of the one-service, eye-specialized, ambulatory …

The Two-Echelon Vehicle Routing Problem With Transshipment Nodes And Occasional Drivers: Formulation And Adaptive Large Neighborhood Search Heuristic, Vincent F. Yu, Minh P. K. Nguyen, Kuza Putra, Aldy Gunawan, I. Gusti Bagus Budi Dharma

Research Collection School Of Computing and Information Systems

This research introduces a new variant of the two-echelon vehicle routing problem (2EVRP) called the two-echelon vehicle routing problem with transshipment nodes and occasional drivers (2EVRP-TN-OD). In addition to city freighters in the second-echelon network, a set of occasional drivers (ODs) is available to serve customers. ODs are the basis of a crowd-shipping system in which crowds with planned trips are willing to take detours to deliver packages in exchange for some compensation. To serve customers, ODs collect the assigned packages at either satellite served by first-echelon trucks or transshipment nodes served by city freighters. We formulate this problem as …

Exploring Cyber-Physical Systems’ Security Governance In The Oil And Gas Industry, Soliman Mahmoud

Walden Dissertations and Doctoral Studies

The Fourth Industrial Revolution, which utilizes modern communication-dependent technologies, including cyber-physical systems (CPS), has made exploration and production operations more efficient in the oil and gas industry. CPS in this industry should be secured against operational threats to prevent interruption of critical oil and gas supplies and services. However, these systems are vulnerable to cyberattacks, and many oil and gas companies have not incorporated effective cybersecurity measures into their corporate management strategies. This qualitative, multiple-case study, which was guided by the routine activity theory, explored how cybersecurity governance was applied to develop controls that stopped or mitigated the consequences of …

Developing Artificial Intelligence Tools To Investigate The Phenotypes And Correlates Of Chronic Kidney Disease Patients In West Virginia, Marzieh Amiri Shahbazi

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Developing Artificial Intelligence tools to investigate the phenotypes and correlates of Chronic Kidney Disease patients in West Virginia

Marzieh Amiri Shahbazi

Chronic kidney disease (CKD) is responsible for disrupting the lives of 37 million people just in the USA, which is about 1 in 7 adults. CKD results in a gradual loss of kidney function over time. Sometimes CKD doesn’t produce any significant symptoms until it reaches an advanced stage. On the other hand, acute kidney injury (AKI) accounts for a sudden decline in the kidney’s function. As a result, the kidneys fail to filter waste materials from the …

Coherent Control Of Dispersive Waves, Jimmie Adriazola

Dissertations

This dissertation addresses some of the various issues which can arise when posing and solving optimization problems constrained by dispersive physics. Considered here are four technologically relevant experiments, each having their own unique challenges and physical settings including ultra-cold quantum fluids trapped by an external field, paraxial light propagation through a gradient index of refraction, light propagation in periodic photonic crystals, and surface gravity water waves over shallow and variable seabeds. In each of these settings, the physics can be modeled by dispersive wave equations, and the technological objective is to design the external trapping fields or propagation media such …

Energy Planning Model Design For Forecasting The Final Energy Consumption Using Artificial Neural Networks, Haidy Eissa

Theses and Dissertations

“Energy Trilemma” has recently received an increasing concern among policy makers. The trilemma conceptual framework is based on three main dimensions: environmental sustainability, energy equity, and energy security. Energy security reflects a nation’s capability to meet current and future energy demand. Rational energy planning is thus a fundamental aspect to articulate energy policies. The energy system is huge and complex, accordingly in order to guarantee the availability of energy supply, it is necessary to implement strategies on the consumption side. Energy modeling is a tool that helps policy makers and researchers understand the fluctuations in the energy system. Over the …

Evaluating Technology-Mediated Collaborative Workflows For Telehealth, Christopher Bondy Ph.D., Pengcheng Shi, Pamela Grover Md, Vicki Hanson, Linlin Chen, Rui Li

Articles

Goals: This paper discusses the need for a predictable method to evaluate gains and gaps of collaborative technology-mediated workflows and introduces an evaluation framework to address this need. Methods: The Collaborative Space Analysis Framework (CS-AF), introduced in this research, is a cross-disciplinary evaluation method designed to evaluate technology-mediated collaborative workflows. The 5-step CS-AF approach includes: (1) current-state workflow definition, (2) current-state (baseline) workflow assessment, (3) technology-mediated workflow development and deployment, (4) technology-mediated workflow assessment, (5) analysis, and conclusions. For this research, a comprehensive, empirical study of hypertension exam workflow for telehealth was conducted using the CS-AF approach. Results: The CS-AF …

Uncertainty Of The Ultrasonic Method For Determining The Strength Of Concrete, Ortagoli Sharipovich Hakimov, Zamira Khudoyberdiyevna Ernazarova

Chemical Technology, Control and Management

The issues of measuring the strength of concrete by the method of surface sounding by ultrasound are considered. A measurement model and formulas for estimating the total standard measurement uncertainty, information about the standards used, measurement tools and methods, and environmental parameters are given. Information about the estimation of uncertainty in the form of "eight steps", such as: measurement task; mathematical model of measurement; analysis of input values; observation results; correlations; uncertainty budget; expanded uncertainty; measurement result. It has been established that the uncertainty of type B of the ultrasonic method for determining the strength of concrete is much less …

Mathematical Modeling Of Processes Of Diagnostics Of Technical And Technological Objects, Azizbek Nodirbekovich Yusupbekov, Khurshid Salim Ugli Turayev

Chemical Technology, Control and Management

The work is an introduction to the technical diagnostics of technical (or technological) objects. It discloses the basic concepts and definitions of the reliability of dynamic systems as objects of diagnostic reference knowledge and their diagnosis. Structural schemes of diagnosing objects with individual and combined channels of influence are analyzed. Questions of rational construction of base of reference knowledge are stated.

Virtual Analyzers For Increasing The Intelligence Of Industrial Process Control Systems, Umidjon Abdimajotovich Ruziev Phd, Marufjon Kobuljanovich Shodiev

Chemical Technology, Control and Management

It is shown that the development and implementation of virtual analyzers of the quality of the final industrial products is an effective tool for increasing the efficiency of industrial production. The methodology and stages of development of virtual analyzers for predicting the quality of products, monitoring non-measurable or difficult-to-measure parameters of continuous and periodic technological processes are considered, and issues of supporting and adapting a virtual analyzer during its operation without restructuring are also considered.