Academic literature on the topic 'Other industrial, systems and processes engineering'
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Journal articles on the topic "Other industrial, systems and processes engineering"
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NIKOLAEV, M. YU, V. A. ZAKHARENKO, E. V. NIKOLAEVA, and A. K. NIKITIN. "MODELING OF INTERACTION PROCESSES AND METROLOGY IN ELECTRIC PULSE SYSTEMS." Actual Issues Of Energy 3, no. 1 (2021): 058–62. http://dx.doi.org/10.25206/2686-6935-2021-3-1-58-62.
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Electro-pulse systems have an undeniable number of advantages, since they use eddy-current non-contact interaction of the electromagnetic field of the inductor with electrically conductive surfaces. The resulting intense and high-speed deformation creates instantaneous (10-4 - 10-5c) mechanical overloads that destroy the bonds of substances with surfaces, without violating the mechanical strength of the surfaces themselves. Such systems can be used in construction, mechanical engineering, railway transport, heat and power engineering and other areas of industrial activity to remove various materials from the walls and structural elements of equipment, including icicles and ice from the eaves and roofs of houses, which is an effective, low-cost and technological method.
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BENNEYAN, JAMES C., and CLAIRE BOND. "SYSTEMS ENGINEERING APPROACHES FOR IMPROVING REUSABLE MEDICAL EQUIPMENT REPROCESSING PROCESSES." International Journal of Innovation and Technology Management 10, no. 03 (June 2013): 1340009. http://dx.doi.org/10.1142/s0219877013400099.
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Hospital reusable medical equipment (RME) includes any items that are intended to be reprocessed and reused indefinitely, including surgical instruments, dental equipment, endoscopes, and others. Such equipment represent a significant portion of a hospital's inventory costs and recently have generated significant patient cross-contamination concerns due to reprocessing cleaning failures. This paper discusses recent applications of industrial and systems engineering (ISyE) methods within healthcare organizations to help manage, understand, and improve RME processes, including quality control (QC), reliability, patient safety, facility layout, queuing networks, and inventory management models. Several examples demonstrate the value of these approaches for improved reprocessing management of RME technology.
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Bogdanic, Grozdana. "Group contribution methods for estimating the properties of polymer systems." Chemical Industry 60, no. 11-12 (2006): 287–305. http://dx.doi.org/10.2298/hemind0612289b.
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Polymer materials are nowadays used in a wide range of technological applications. Reliable knowledge of the thermo physical properties of pure polymers and their mixtures in the whole composition and a wide temperature and pressure range determines whether a given polymer is suitable for a specific application. On the other hand, accurate knowledge of the thermodynamic properties of the systems is a vital prerequisite for computer-aided syntheses, design, and the optimization of industrial polymer processes. However, the experimental data on polymer solubility are often scarce, and at this point, thermodynamics provide a powerful tool for modeling and extrapolating the experimental data. These models, together with factual data banks, are powerful software tools for the reliable development of chemical processes and other applications of industrial interest. The status of the different approaches and important applications of industrial interest using thermodynamic information derived from data banks or by using predictive thermodynamic models are presented in this review.
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Hawryluk, Marek, and Jacek Ziemba. "Lubrication in hot die forging processes." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 233, no. 5 (June 28, 2018): 663–75. http://dx.doi.org/10.1177/1350650118784728.
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This article presents selected aspects of lubricant application, as well as lubrication methods and devices in the context of forging tool durability and accessories used in die forging processes at elevated temperatures. The properties and applications of the currently used lubricating and cooling agents in selected industrial forging processes were analyzed. The authors’ original studies on the influence of lubricant application, dose size, time and feed direction as well as other factors affecting tribological conditions are also presented. A review of lubricating and cooling systems and devices is provided, as well as a lubricating device built on the basis of the authors’ knowledge and experience is presented. The developed system, implemented into an industrial process, makes it possible to select and maintain its optimal tribological conditions through the control of the size and frequency of the administered lubricant dose. It may be an alternative to the manual lubricant application method, where human error is a factor, or to fully automated, but expensive, lubrication systems.
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Popovic, Ana, Sonja Milicevic, Vladan Milosevic, Branislav Ivosevic, Jelena Carapic, Vladimir Jovanovic, and Dragan Povrenovic. "Fenton process in dispersed systems for industrial wastewater treatment." Chemical Industry 73, no. 1 (2019): 47–62. http://dx.doi.org/10.2298/hemind181019005p.
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Industrial wastewater contains recalcitrant organic compounds with a very complex chemical structure, built of molecules with long chains of carbon atoms and attached different functional groups. Chemical or biological treatments used for removal of these compounds are being replaced with more efficient non-commercial wastewater treatments. Advanced oxidation processes overcome limitations of conventional methods regarding formation of by-products during degradation of recalcitrant organic compounds. The Fenton process, or use of the Fenton?s reagent, has became one of the most utilized processes due to simplicity, economy and accessible amounts of ferrous iron and hydrogen-peroxide, which are used in the process. In specific, the Fenton?s reagent is a catalytic-oxidative mixture of these two components. The ferrous iron Fe2+ initiates and catalyzes decomposition of H2O2, resulting in generation of hydroxyl radicals, which are the main radical species in the process able to detoxify several organic pollutants by oxidation. In addition, other mechanisms besides formation of hydroxyl radicals may occur during the Fenton process and participate in degradation of target pollutants. Generally, the treatment efficiency relies upon the physical and chemical properties of target pollutants and the process operating conditions. The main disadvantage of the Fenton process is production of sludge formed by iron hydroxide at certain pH values. An alternative solution for this problem is application of this process in fluidized bed reactors. This paper presents an overview of Fenton and photo-Fenton processes in dispersed systems for removal of different industrial wastewater pollutants. The most important process parameters, required for efficient degradation of recalcitrant organic compounds are also described, such as the catalyst type, pH value, temperature, H2O2 concentration and retention time. Strict control of Fenton process parameters in fluidized bed reactors at desired values can bring these systems to the commercial use.
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Zuev, A. S., M. A. Makushchenko, M. E. Ivanov, and E. S. Merkulov. "Extended reality technology – a new component in industrial engineering and production systems." Russian Technological Journal 8, no. 4 (August 6, 2020): 46–65. http://dx.doi.org/10.32362/2500-316x-2020-8-4-46-65.
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Extended (virtual, augmented and mixed) reality technology gets considered as a new universal component of production (industrial) engineering’s methodological basis, receiving the possibilities for wide use in both extensive and intensive development of carrying and other branches of the fourth, fifth and the forming nucleus of the sixth technological wave. The article gives grounds for the role and place of this kind of technology in contemporary technological processes and production systems (including the flexible, small-volume and discrete production), and in the context of cyberphysical systems and the incoming fourth industrial revolution. The authors describe underline the set of tasks that are universal for a wide range of branches in any national economy, that can be most efficiently completed in terms of the current and prognosed level of development of man-machine interaction can be provided for as a result of using VR, AR and MR technologies. Based on the comparison of implementation principles and examples of applied implementation, the article gives grounds for term correspondence and opportunities of use of “extended reality technology”. The authors have made and explained the conclusion on practicability of integrating extended reality technology based on a universal hardwaresoftware complex that provides VR, AR and MR services corresponding to the composition of a given task within the technological process or the operating mode chosen by a user. The article gives descriptions of task assignments, terms of conduct and results of experiments on designing and testing extended reality interactive environments performed at the institute of information technology RTU MIREA in 2019–2020.
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Kannengiesser, Udo, and John S. Gero. "What distinguishes a model of systems engineering from other models of designing? An ontological, data-driven analysis." Research in Engineering Design 33, no. 2 (January 15, 2022): 129–59. http://dx.doi.org/10.1007/s00163-021-00382-9.
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AbstractThis paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analysis show that the INCOSE model differs from the other models in its increased emphasis on requirements and on behaviours derived from structure, in the uniqueness of its verification and validation phases, and in some patterns related to the temporal development and frequency distributions of FBS design issues.
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Rudas, Imre J. "Intelligent Engineering Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 3 (June 20, 1998): 69–71. http://dx.doi.org/10.20965/jaciii.1998.p0069.
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Building intelligent systems has been one of the great challenges since the early days of human culture. From the second half of the 18th century, two revolutionary changes played the key role in technical development, hence in creating engineering and intelligent engineering systems. The industrial revolution was made possible through technical advances, and muscle power was replaced by machine power. The information revolution of our time, in turn, canbe characterized as the replacement of brain power by machine intelligence. The technique used to build engineering systems and replace muscle power can be termed "Hard Automation"1) and deals with industrial processes that are fixed and repetitive in nature. In hard automation, the system configuration and the operations are fixed and cannot be changed without considerable down-time and cost. It can be used, however, particularly in applications calling for fast, accurate operation, when manufacturing large batches of the same product. The "intelligent" area of automation is "Soft Automation," which involves the flexible, intelligent operation of an automated process. In flexible automation, the task is programmable and a work cell must be reconfigured quickly to accommodate a product change. It is particularly suitable for plant environments in which a variety of products is manufactured in small batches. Processes in flexible automation may have unexpected or previously unknown conditions, and would require a certain degree of "machine" intelligence to handle them.The term machine intelligence has been changing with time and is machinespecific, so intelligence in this context still remains more or less a mysterious phenomenon. Following Prof. Lotfi A. Zadeh,2) we consider a system intelligent if it has a high machine intelligence quotient (MIQ). As Prof. Zadeh stated, "MIQ is a measure of intelligence of man-made systems," and can be characterized by its well defined dimensions, such as planning, decision making, problem solving, learning reasoning, natural language understanding, speech recognition, handwriting recognition, pattern recognition, diagnostics, and execution of high level instructions.Engineering practice often involves complex systems having multiple variable and multiple parameter models, sometimes with nonlinear coupling. The conventional approaches for understanding and predicting the behavior of such systems based on analytical techniques can prove to be inadequate, even at the initial stages of setting up an appropriate mathematical model. The computational environment used in such an analytical approach is sometimes too categoric and inflexible in order to cope with the intricacy and complexity of real-world industrial systems. It turns out that, in dealing with such systems, one must face a high degree of uncertainty and tolerate great imprecision. Trying to increase precision can be very costly.In the face of the difficulties above, Prof. Zadeh proposes a different approach for Machine Intelligence. He separates Hard Computing techniques based Artificial Intelligence from Soft Computing techniques based Computational Intelligence.•Hard computing is oriented toward the analysis and design of physical processes and systems, and is characterized by precision, formality, and categorization. It is based on binary logic, crisp systems, numerical analysis, probability theory, differential equations, functional analysis, mathematical programming approximation theory, and crisp software.•Soft computing is oriented toward the analysis and design of intelligent systems. It is based on fuzzy logic, artificial neural networks, and probabilistic reasoning, including genetic algorithms, chaos theory, and parts of machine learning, and is characterized by approximation and dispositionality.In hard computing, imprecision and uncertainty are undesirable properties. In soft computing, the tolerance for imprecision and uncertainty is exploited to achieve an acceptable solution at low cost, tractability, and a high MIQ. Prof. Zadeh argues that soft rather than hard computing should be viewed as the foundation of real machine intelligence. A center has been established - the Berkeley Initiative for Soft Computing (BISC) - and he directs it at the University of California, Berkeley. BISC devotes its activities to this concept.3) Soft computing, as he explains2),•is a consortium of methodologies providing a foundation for the conception and design of intelligent systems,•is aimed at formalizing of the remarkable human ability to make rational decision in an uncertain, imprecise environment.The guiding principle of soft computing, given by Prof. Zadeh2) is: Exploit the tolerance for imprecision, uncertainty, and partial truth to achieve tractability, robustness, low solution cost, and better rapport with reality.Fuzzy logic is mainly concerned with imprecision and approximate reasoning, neurocomputing mainly with learning and curve fitting, genetic computation mainly with searching and optimization and probabilistic reasoning mainly with uncertainty and propagation of belief. The constituents of soft computing are complementary rather than competitive. Experience gained over the past decade indicates that it can be more effective to use them combined, rather than exclusively.Based on this approach, machine intelligence, including artificial intelligence and computational intelligence (soft computing techniques) is one pillar of Intelligent Engineering Systems. Hundreds of new results in this area are published in journals and international conference proceedings. One such conference, organized in Budapest, Hungary, on September 15-17, 1997, was titled'IEEE International Conference on Intelligent Engineering Systems 1997' (INES'97), sponsored by the IEEE Industrial Electronics Society, IEEE Hungary Section, Bá{a}nki Doná{a}t Polytechnic, Hungary, National Committee for Technological Development, Hungary, and in technical cooperation with the IEEE Robotics & Automation Society. It had around 100 participants from 29 countries. This special issue features papers selected from those papers presented during the conference. It should be pointed out that these papers are revised and expanded versions of those presented.The first paper discusses an intelligent control system of an automated guided vehicle used in container terminals. Container terminals, as the center of cargo transportation, play a key role in everyday cargo handling. Learning control has been applied to maintaining the vehicle's course and enabling it to stop at a designatedlocation. Speed control uses conventional control. System performance system was evaluated by simulation, and performance tests slated for a test vehicle.The second paper presents a real-time camera-based system designed for gaze tracking focused on human-computer communication. The objective was to equip computer systems with a tool that provides visual information about the user. The system detects the user's presence, then locates and tracks the face, nose and both eyes. Detection is enabled by combining image processing techniques and pattern recognition.The third paper discusses the application of soft computing techniques to solve modeling and control problems in system engineering. After the design of classical PID and fuzzy PID controllers for nonlinear systems with an approximately known dynamic model, the neural control of a SCARA robot is considered. Fuzzy control is discussed for a special class of MIMO nonlinear systems and the method of Wang generalized for such systems.The next paper describes fuzzy and neural network algorithms for word frequency prediction in document filtering. The two techniques presented are compared and an alternative neural network algoritm discussed.The fifth paper highlights the theory of common-sense knowledge in representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning, and experimental results using this method presented.The next paper introduces an expert consulting system that employs software agents to manage distributed knowledge sources. These individual software agents solve users' problems either by themselves or thorough mutual cooperation.The last paper presents a methodology for creating and applying a generic manufacturing process model for mechanical parts. Based on the product model and other up-to-date approaches, the proposed model involves all possible manufacturing process variants for a cluster of manufacturing tasks. The application involves a four-level model structure and Petri net representation of manufacturing process entities. Creation and evaluation of model entities and representation of the knowledge built in the shape and manufacturing process models are emphasised. The proposed process model is applied in manufacturing process planning and production scheduling.References:1) C. W. De Silva, "Automation Intelligence," Engineering Application of Artificial Intelligence, 7-5, 471-477, (1994).2) L. A. Zadeh, "Fuzzy Logic, Neural Networks and Soft Computing," NATO Advanced Studies Institute on Soft Computing and Its Application, Antalya, Turkey, (1996).3) L. A. Zadeh, "Berkeley Initiative_in Soft Computing," IEEE Industrial Electronics Society Newsletter. 41-3, 8-10, (1994).
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Alperin, Boris, Inna Zibareva, and Aleksey Vedyagin. "CRIS Systems in Research Organization Administrating." Science Management: Theory and Practice 4, no. 1 (March 28, 2022): 143–56. http://dx.doi.org/10.19181/smtp.2022.4.1.8.
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Complementary to storage, management and exchange of scientific metadata, the CRIS system SciAct of the Boreskov Institute of Catalysis by means of special modules provides online support for a number of standard business processes regarding to research organization’s (RO) everyday administrating. The processes cover: preparing of expert judgments on research materials submitting for publication; preparing of applications on filling of vacant positions, together with conducting of corresponding competitions; conducting of open or / and secret voting of Academic and Dissertation Councils including generating of corresponding protocols; administrating of documents and procedures regarding to postgraduateeducation; as well as some other processes. This substantially simplifies inner document flow of RO and facilitates personnel’s online / remote work from the one hand; and provides comfortable conditions for genuine research activities from the other hand. Flexibility of the SciAct system allows embracing of additional business processes, as well as already realized its exploitation at other ROs.
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Ziegler, Lynn R., and Richard C. Dorf. "An analysis of the geometry of light-striping vision systems for feedrate control in robot welding and other industrial processes." Robotics 3, no. 2 (June 1987): 167–73. http://dx.doi.org/10.1016/0167-8493(87)90004-0.
Full textDissertations / Theses on the topic "Other industrial, systems and processes engineering"
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Sukumara, Sumesh. "A MULTIDISCIPLINARY TECHNO-ECONOMIC DECISION SUPPORT TOOL FOR VALIDATING LONG-TERM ECONOMIC VIABILITY OF BIOREFINING PROCESSES." UKnowledge, 2014. http://uknowledge.uky.edu/cme_etds/42.
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Increasing demand for energy and transportation fuel has motivated researchers all around the world to explore alternatives for a long-term sustainable source of energy. Biomass is one such renewable resource that can be converted into various marketable products by the process of biorefining. Currently, research is taking strides in developing conversion techniques for producing biofuels from multiple bio-based feedstocks. However, the greatest concern with emerging processes is the long-term viability as a sustainable source of energy. Hence, a framework is required that can incorporate novel and existing processes to validate their economic, environmental and social potential in satisfying present energy demands, without compromising the ability of future generations to meet their own energy needs.
This research focuses on developing a framework that can incorporate fundamental research to determine its long-term viability, simultaneously providing critical techno-economic and decision support information to various stakeholders. This contribution links various simulation and optimization models to create a decision support tool, to estimate the viability of biorefining options in any given region. Multiple disciplines from the Process Systems Engineering and Supply Chain Management are integrated to develop the comprehensive framework. Process simulation models for thermochemical and biochemical processes are developed and optimized using Aspen Engineering Suite. Finally, for validation, the framework is analyzed by combining the outcomes of the process simulation with the supply chain models. The developed techno-economic model takes into account detailed variable costs and capital investments for various conversion processes. Subsequently, case studies are performed to demonstrate the applicability of the decision support tool for the Jackson Purchase region of Western Kentucky. The multidisciplinary framework is a unique contribution in the field of Process Systems Engineering as it demonstrates simulation of process optimization models and illustrates its iterative linking with the supply chain optimization models to estimate the economics of biorefinery from multi-stakeholder perspective. This informative tool not only assists in comparing modes of operation but also forecasts the effect of future scenarios, such as, utilization of marginal land for planting dedicated energy crops and incorporation of emerging enzymatic processes. The resulting framework is novel and informative in assisting investors, policy makers and other stakeholders for evaluating the impacts of biorefining. The results obtained supports the generalizability of this tool to be applied in any given region and guide stakeholders in making financial and strategic decisions.
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Anandappa, Marienne A. "EVALUATING FOOD SAFETY SYSTEMS DEVELOPMENT AND IMPLEMENTATION BY QUANTIFYING HACCP TRAINING DURABILITY." UKnowledge, 2013. http://uknowledge.uky.edu/animalsci_etds/19.
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HACCP-based food safety programs have been widely acclaimed, accepted and implemented as an effective means of managing food safety risks. While HACCP training is a cornerstone of managing HACCP programs, there is little information about the effectiveness of HACCP training and the durability of HACCP knowledge. Findings reveal a link between involvement level in HACCP activities and the accuracy of HACCP knowledge over time. Opportunities for peer training in HACCP, irrespective of overall experience in the food industry provide favorable circumstances for maintaining accuracy of HACCP knowledge. The optimal window for engaging employees in HACCP is directly following the completion of training for achieving the minimal depletion level of content knowledge. This study further reveals that refresher training in HACCP is necessary within three years. Furthermore, training standardization organizations likely need a formal process of monitoring and maintaining HACCP trainer and trainee qualifications to ensure uniformity in HACCP programming.
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Leung, Wai-man Wanthy. "Evolutionary optimisation of industrial systems /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2132668X.
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Kroener, Martina Ursula. "Multi-level Analytic Network Process Model to Mitigate Supply Chain Disruptions in Disaster Recovery Planning." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1540.
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Over the past few decades, environmental changes have led to more frequent occurrences and greater intensities of natural disasters worldwide. In terms of globally connected supply chains, this has resulted in an enormous economical loss for corporations. Therefore, Business Continuity and Disaster Recovery (BC/DR) planning and management has become essential for businesses in order to protect their critical business flow. Yet there is a lack of systematic and transparent methodologies for companies to handle this problem.
Hence, this thesis introduces a novel approach to combine consecutive steps of the Disaster Recovery Planning (DRP) process within one application. The multi-criteria decision-making (MCDM) tool called the Analytic Network Process (ANP) is employed to identify critical products of a business and match them with optimal disruption mitigation strategies based on an evaluation of benefits, opportunities, costs, and risks (BOCR).
To validate the method developed in this thesis, a case study using historical data of a U.S. company (Company XYZ) is introduced. The results of the ANP mathematical modeling demonstrate that the developed methodology provides a valuable approach to analyze and confirm BC/DR planning decisions. Moreover, an expert of Company XYZ confirmed that the suggested solution established through this case study is in agreement with the preferable choice based on his expertise and professional decision-making.
Further research could extend the proposed methodology to other fields of BC/DR planning, such as IT Disaster Recovery Planning or Human Disaster Relief.
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Searle, Diane. "The industrial use of inorganic tin compounds in coal conversion processes and other systems." Thesis, City University London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292720.
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梁慧敏 and Wai-man Wanthy Leung. "Evolutionary optimisation of industrial systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B30252994.
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Brophy, Timothy. "APPLYING SUSTAINABILITY FROM A SYSTEMS PERSPECTIVE:." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1007.
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Becoming sustainable is no longer an option. Current industry methods will not be able to support the necessary changes our growing society demands. In order to keep up with ever increasing demands industry will be aimed toward making major system changes toward a fully sustainable model. As of right now only basic sustainability actions have been put in place. Industry needs to make a strategic change toward resilient systems with an end goal of evolving into fully biomimic systems. This thesis covers a brief history of production leading to the Industrial Revolution which created a need for increased sustainability efforts. The Environmental Movement was started in hopes of creating these changes and is extensively studied in this thesis logically leading up to industry’s current sustainable actions. A discussion of widely applied sustainability methods helps to describe a need for a framework that will help move industry toward increased resiliency. The culmination of this thesis is the creation of a three-piece framework for change, called RISE (Reshaping Industry Sustainably Efforts). This framework is the product of extensive research into current sustainability efforts, collected survey results, and the need to increase understanding of resilience and biomimicry from an applied system perspective.
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Ahirwal, Deepak. "Large deformation shear and elongation rheology of polymers for electrospinning and other Industrial Processes." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01065971.
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The goals of this thesis are the characterization of polymer melts using mainly non-linear shear and extensional rheological techniques. The fabrication of scaffolds with excellent physical and mechanical properties using solution electrospinning technology for tissue engineering applications and the development of melt electrospinning equipment to facilitate the fabrication of solvent free scaffolds. To achieve the first goal, we focused on the characterization of entangled polymer melts in the linear and nonlinear viscoelastic regimes. The influence of molecular weight, Mw, molecular weight distribution (MWD), long-chain branching (LCB) and addition of particles to the polymer matrix on polymer melt properties were investigated using shear and extensional rheological techniques. The resulting structure-property relationships were established using newly introduced mechanical parameters under large amplitude oscillatory shear (LAOS) flow.
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Iwaki, Takuya. "Wireless Sensor Network Scheduling and Event-based Control for Industrial Processes." Licentiate thesis, KTH, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237527.
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Control over wireless sensor and actuator networks is of growing interest in process industry since it enables flexible design, deployment, operation, and maintenance. An important problem in industrial wireless control is how to limit the amount of information that needs to be exchanged over the network. In this thesis, network scheduling and remote control co-design is considered to address this problem. In the first part, we propose a design of an optimal network schedule for state estimation over a multi-hop wireless sensor network. We formulate an optimization problem, minimizing a linear combination of the averaged estimation error and transmission energy. A periodic network schedule is obtained, which specifies when and through which routes each sensor in the network should transmit its measurement, so that an optimal remote estimate under sensor energy consideration is achieved. We also propose some suboptimal schedules to reduce the computational load. The effectiveness of the suboptimal schedules is evaluated in numerical examples. In the second part, we propose a co-design framework for sensor scheduling, routing, and control over a multi-hop wireless sensor and actuator network. For a decoupled plant and LQG control performance, we formulate an optimization problem and show that the optimal schedule, routing, and control can be obtained locally for each control loop. In this part, we also introduce algorithms to reconfigure the schedules and routes when a link in the network is disconnected. The results are illustrated in a numerical example. In the third part, we consider event-based feedforward control from a wireless disturbance sensor. We derive stability conditions when the closed-loop system is subject to actuator saturation. Feedforward control with anti-windup compensation is introduced to reduce the effect of actuator saturation. The effectiveness of the approach is illustrated in some numerical examples.QC 20181029
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Bekker, James. "Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71717.
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Thesis (PhD)--Stellenbosch University, 2012.ENGLISH ABSTRACT: A difficult subclass of engineering optimisation problems is the class of optimisation problems which are dynamic and stochastic. These problems are often of a non-closed form and thus studied by means of computer simulation. Simulation production runs of these problems can be time-consuming due to the computational burden implied by statistical inference principles. In multi-objective optimisation of engineering problems, large decision spaces and large objective spaces prevail, since two or more objectives are simultaneously optimised and many problems are also of a combinatorial nature. The computational burden associated with solving such problems is even larger than for most single-objective optimisation problems, and hence an e cient algorithm that searches the vast decision space is required. Many such algorithms are currently available, with researchers constantly improving these or developing more e cient algorithms. In this context, the term \e cient" means to provide near-optimised results with minimal evaluations of objective function values. Thus far research has often focused on solving speci c benchmark problems, or on adapting algorithms to solve speci c engineering problems. In this research, a multi-objective optimisation algorithm, based on the cross-entropy method for single-objective optimisation, is developed and assessed. The aim with this algorithm is to reduce the number of objective function evaluations, particularly when time-dependent (dynamic), stochastic processes, as found in Industrial Engineering, are studied. A brief overview of scholarly work in the eld of multiobjective optimisation is presented, followed by a theoretical discussion of the cross-entropy method. The new algorithm is developed, based on this information, and assessed considering continuous, deterministic problems, as well as discrete, stochastic problems. The latter include a classical single-commodity inventory problem, the well-known buffer allocation problem, and a newly designed, laboratory-sized recon gurable manufacturing system. Near multi-objective optimisation of two practical problems were also performed using the proposed algorithm. In the rst case, some design parameters of a polymer extrusion unit are estimated using the algorithm. The management of carbon monoxide gas utilisation at an ilmenite smelter is complex with many decision variables, and the application of the algorithm in that environment is presented as a second case. Quality indicator values are estimated for thirty-four test problem instances of multi-objective optimisation problems in order to quantify the quality performance of the algorithm, and it is also compared to a commercial algorithm. The algorithm is intended to interface with dynamic, stochastic simulation models of real-world problems. It is typically implemented in a programming language while the simulation model is developed in a dedicated, commercial software package. The proposed algorithm is simple to implement and proved to be efficient on test problems.
AFRIKAANSE OPSOMMING: 'n Moeilike deelklas van optimeringsprobleme in die ingenieurswese is optimeringsprobleme van 'n dinamiese en stogastiese aard. Sulke probleme is dikwels nie-geslote en word gevolglik met behulp van rekenaarsimulasie bestudeer. Die beginsels van statistiese steekproefneming veroorsaak dat produksielopies van hierdie probleme tydrowend is weens die rekenlas wat genoodsaak word. Groot besluitnemingruimtes en doelwitruimtes bestaan in meerdoelige optimering van ingenieursprobleme, waar twee of meer doelwitte gelyktydig geoptimeer word, terwyl baie probleme ook 'n kombinatoriese aard het. Die rekenlas wat met die oplos van sulke probleme gepaard gaan, is selfs groter as vir die meeste enkeldoelwit optimeringsprobleme, en 'n doeltre ende algoritme wat die meesal uitgebreide besluitnemingsruimte verken, is gevolglik nodig. Daar bestaan tans verskeie sulke algoritmes, terwyl navorsers steeds poog om hierdie algoritmes te verbeter of meer doeltre ende algoritmes te ontwikkel. In hierdie konteks beteken \doeltre end" dat naby-optimale oplossings verskaf word deur die minimum evaluering van doelwitfunksiewaardes. Navorsing fokus dikwels op oplossing van standaard toetsprobleme, of aanpassing van algoritmes om 'n spesi eke ingenieursprobleem op te los. In hierdie navorsing word 'n meerdoelige optimeringsalgoritme gebaseer op die kruis-entropie-metode vir enkeldoelwit optimering ontwikkel en geassesseer. Die mikpunt met hierdie algoritme is om die aantal evaluerings van doelwitfunksiewaardes te verminder, spesi ek wanneer tydafhanklike (dinamiese), stogastiese prosesse soos wat dikwels in die Bedryfsingenieurswese te egekom word, bestudeer word. 'n Bondige oorsig van navorsing in die veld van meerdoelige optimering word gegee, gevolg deur 'n teoretiese bespreking van die kruis-entropiemetode. Die nuwe algoritme se ontwikkeling is hierop gebaseer, en dit word geassesseer deur kontinue, deterministiese probleme sowel as diskrete, stogastiese probleme benaderd daarmee op te los. Laasgenoemde sluit in 'n klassieke enkelitem voorraadprobleem, die bekende buffer-toedelingsprobleem, en 'n nuut-ontwerpte, laboratorium-skaal herkon gureerbare vervaardigingstelsel. Meerdoelige optimering van twee praktiese probleme is met die algoritme uitgevoer. In die eerste geval word sekere ontwerpparameters van 'n polimeer-uittrekeenheid met behulp van die algoritme beraam. Die bestuur van koolstofmonoksiedbenutting in 'n ilmeniet-smelter is kompleks met verskeie besluitnemingveranderlikes, en die toepassing van die algoritme in daardie omgewing word as 'n tweede geval aangebied. Verskeie gehalte-aanwyserwaardes word beraam vir vier-en-dertig toetsgevalle van meerdoelige optimeringsprobleme om die gehalte-prestasie van die algoritme te kwanti seer, en dit word ook vergelyk met 'n kommersi ele algoritme. Die algoritme is veronderstel om te skakel met dinamiese, stogastiese simulasiemodelle van regtew^ereldprobleme. Die algoritme sal tipies in 'n programmeertaal ge mplementeer word terwyl die simulasiemodel in doelmatige, kommersi ele programmatuur ontwikkel sal word. Die voorgestelde algoritme is maklik om te implementeer en dit het doeltre end gewerk op toetsprobleme.
Books on the topic "Other industrial, systems and processes engineering"
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E, Creux Simone, and Weber Marin Andrea K, eds. Process oriented analysis: Design and optimization of industrial production systems. Boca Raton, FL: CRC/Taylor & Francis, 2007.
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Engineering design: Products, processes, and systems. San Diego: Academic Press, 1999.
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1931-, Popović Dobrivoje, ed. Analysis and control of industrial processes. Braunschweig: Vieweg, 1991.
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Fundamentals of modern manufacturing: Materials, processes, and systems. New York, NY: John Wiley, 1999.
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Ben, Wang, ed. Concurrent design of products, manufacturing processes and systems. Australia: Gordon and Breach Science Pub., 1998.
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Operation and diagnostics of machines and production systems operational states: Special topic volume. Durnten-Zurich, Switzerland: Trans Tech Publications Ltd., 2013.
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International Conference on Mechanics, and Manufacturing Systems (2011 Ningbo, China). Emerging systems for materials, mechanics, and manufacturing: Selected, peer reviewed papers from the 2011 International Conference on Mechanics and Manufacturing Systems (ICMMS 2011), November 13-14, 2011, Ningbo, China. Durnten-Zurich: Trans Tech Publications, 2012.
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Milner, D. A. Computer-aided engineering for manufacture. London: Kogan Page, 1986.
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C, Vasiliou V., ed. Computer-aided engineering for manufacture. New York: McGraw-Hill, 1987.
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Kołowrocki, Krzysztof. Reliability and safety of complex technical systems and processes: Modeling, identification, prediction, optimization. London: Springer Verlag, 2011.
Find full textBook chapters on the topic "Other industrial, systems and processes engineering"
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Alarcón, Faustino, María del Mar Eva Alemany, and Ángel Ortiz. "Making Product-Service Systems in Collaborative Networks: Implications in Business Processes." In Industrial Engineering: Innovative Networks, 229–36. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2321-7_26.
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Azzaro-Pantel, Catherine. "Methods for Design and Evaluation of Sustainable Processes and Industrial Systems." In Process Engineering and Industrial Management, 275–305. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118562130.ch8.
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Hungenberg, Klaus-Dieter, and Ekkehard Jahns. "Trends in Emulsion Polymerization Processes from an Industrial Perspective." In Polymer Reaction Engineering of Dispersed Systems, 195–214. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/12_2017_14.
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Frauendorfer, Eric, Muhammad Babar, Timo Melchin, and Wolf-Dieter Hergeth. "Monitoring of Vinyl Acetate–Ethylene Processes: An Industrial Perspective." In Polymer Reaction Engineering of Dispersed Systems, 183–214. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/12_2017_22.
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Fruhmann, Martin, and Klaus Gebeshuber. "Radio Frequency (RF) Security in Industrial Engineering Processes." In Security and Quality in Cyber-Physical Systems Engineering, 413–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25312-7_15.
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Vairetti, Carla, Rosa G. González-Ramírez, Luisa Fernanda Spaggiari, and Alejandra Gómez Padilla. "Modeling and Analysis of the Port Logistical Business Processes and Categorization of Main Logistics Costs." In Women in Industrial and Systems Engineering, 457–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11866-2_20.
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Bhise, Vivek D. "Systems Engineering and Other Disciplines in Product Design." In Designing Complex Products with Systems Engineering Processes and Techniques, 23–49. 2nd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003263357-3.
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van De Goor, Jana. "Improvement of Industrial Cell Culture Processes by Caspase-9 Dominant Negative and Other Apoptotic Inhibitors." In Cell Engineering, 211–21. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/1-4020-2217-4_8.
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Bouabdallah, N., and D. Popović. "A Petri Net-Based Tool for Computer-Aided Model Building, Simulation, and Analysis of Engineering Systems." In Analysis and Control of Industrial Processes, 157–66. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-322-88847-1_13.
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Sokolov, V. "Criteria Analysis of Diffusion Processes in Channels of Industrial Ventilation Systems." In Lecture Notes in Mechanical Engineering, 725–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85230-6_85.
Full textConference papers on the topic "Other industrial, systems and processes engineering"
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Riesener, Michael, Christian Doelle, Sebastian Schloesser, and Guenther Schuh. "Prototype Design in Agile Product Development Processes for Technical Systems." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97008.
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Abstract Agile development processes such as Scrum have been successfully applied in the software industry for many years. Based on experience, industrial practitioners indicate three predominant benefits of agile development processes compared to traditional software development processes. First of all, development results better fit customers’ and other stakeholders’ needs. That is because they are intensively involved in the development process by receiving, applying and assessing functional software increments in a defined cadence throughout the development process. Secondly, agile development processes better cope with unexpected changes in the development process due to the built-in process flexibility. Lastly, development speed has significantly increased in most of the agile software development projects, resulting in a shorter time-to-market. Especially in the context of radical innovations for technical systems, manufacturing companies are striving for approaches to optimize their development processes in a similar direction. Traditional plan-oriented development approaches such as VDI 2221 or Cooper’s Stage-Gate Process turn out to be insufficiently customer oriented, too inflexible and project duration is usually too long to reach an adequate time-to-market. For that reason, a large community in academia and industrial practice is developing and implementing approaches to adapt agile software development practices for the development of technical systems. However, a current study in industrial practice reveals that out of 23 objectives, that are expected when introducing agile development processes to technical systems, the three objectives mentioned above, show the largest negative deviations from expected benefit to realized benefit. Therefore, the overall goal of this research is to address these gaps by developing an explicit methodological approach for an agile development of technical systems. It turns out, that mainly the role of prototyping and the way product specifications are handled during the development process change significantly in the course of introducing agility to development of technical systems. Agile practitioners strive to not necessarily define product specifications comprehensively upfront, as it is postulated in plan-oriented development processes. In contrast, product specifications, which are of major importance to the overall development project, are specified and validated with customers and other stakeholders in early prototypes. Therefore, prototypes are realized in a defined cadence throughout the development process to gradually specify and validate the product. However, the way product specifications are prioritized and selected in the development of technical systems has to differ substantially from the general way Scrum or other existing agile development processes propose. That is because technical systems are characterized by multiple technical interrelations, resulting in informational dependencies for the development process. For that reason, a prioritization along criteria such as customer value, development effort and risk seems too narrow in the context of technical systems. In fact, the prioritization of product specifications has to consider both, the value being generated by their realization as well as the informational dependencies towards other specifications. Furthermore, when designing a prototype, time constraints need to be particularly considered due to lead times in parts delivery and prototype production. Therefore, this paper introduces a methodology to prioritize and select technical design parameters in agile development processes. The methodology can be applied in the cyclical sprint planning that aims at defining the scope of the next prototype to be developed. As outlined above, the major paradigms of value generation, informational dependencies as well as lead-time and effort are crucial when adapting agile for technical systems and are consequently implemented in the methodology. These paradigms are operationalized to explicitly address the mentioned major objectives of agile development processes, which are currently showing are large gap between expected benefit and realized benefit in industrial practice. The methodology is applied to the real development process of an RGB laser light source for digital cinema projectors, which is summarized as a case study in the paper. Insights from this application are equally discussed as the resulting next steps in further developing and aligning the methodology to the needs of industrial practice.
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Akoglu, Canan. "Teaching service design in a multi-disciplinary educational context." In Systems & Design: Beyond Processes and Thinking. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/ifdp.2016.3783.
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Designing services include participation of users and stakeholders at different levels varying from minimum participation to co-creating with these actors to form a holistic perspective. Values are created collaboratively with people, but the intensity, the extent, the timing of involving people and their roles vary widely. Since such a context has a diverse nature in terms of including people with different backgrounds, mind-sets, and communication approaches, it is important to find a common platform for communicating with the design ideas and visualizing those design ideas in a group of students from different disciplines. Opening up the design process for others and finding a common platform for teams to communicate and prototype services especially in the early design process and might contribute to creating better services with higher qualities. Co-creation is in the focus of this paper as an approach in education because it allows people to communicate and cooperate among each other regardless of their backgrounds. Based on this perspective, the aim of this paper is to explore how to create initial design ideas in a group of students from different disciplines by getting all the students participate actively in the early design process. This exploration was made by conducting a series of workshops with students from industrial design undergraduate program as well as with students at different levels from entrepreneurship, business, psychology and engineering undergraduate programs. Depending on this exploration, enactment and mock-ups are found to be most effective tools during the early design process to fuel participation and creativity. Applying co-creation as an approach have benefits in terms of playing a role as a background for improving and increasing the creativity, thinking out-of-the-box and developing innovative solutions in the future.DOI: http://dx.doi.org/10.4995/IFDP.2016.3783
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Morosuk, T., S. Tesch, M. Schult, and G. Tsatsaronis. "Evaluation of a Novel Concept for LNG Regasification in an Industrial Complex." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39640.
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New technologies that lead to an increased efficiency and lower product cost in each step of the LNG chain are of particular interest to scientists and engineers. The studies and commercial applications of LNG regasification processes can be divided into three large groups: (a) direct and indirect heat transfer processes between LNG and other substances in the so-called “traditional systems”, (b) LNG-based electricity generation systems, and (c) LNG regasification within an industrial complex consisting of an LNG import terminal and at least one different refrigeration or cryogenic plant (process). In this paper the regasification of LNG is accomplished within an air separation process, to improve the overall system efficiency. The paper discusses the simulation, and the energetic, exergetic, and economic analyses of this novel cryogenic-based concept, which is characterized by a lower specific power requirement and improved cost effectiveness.
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Agostinho, Carlos, Carlos Raposo, and Ricardo Jardim-Goncalves. "Automated Reengineering of Industrial Service-Based Systems." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65697.
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Complex systems are not of static nature. Most are governed by a particular set of laws and behave accordingly to a certain range of expected inputs and variables, but they can also evolve in response to unforeseen stimulus. The same principle can be applied to industrial information systems. Larger systems such as an entire company or a network of companies may be divided into further subsystems, including information systems, each behaving autonomously but is still under influence of the others, interacting with them in a holistic manner. This paper explores this relationship and proposes a conceptual solution to the strain of sustaining interoperability in complex service-based networks from the domain of manufacturing. To such effect, and in order to tackle the complex relationships and dependencies implicit in web-service environments, information modeling is used, allowing for the optimization of several service engineering activities and enterprise business processes while maximizing the efficiency of system’s interactions. Hence, service modeling and orchestration is here suggested as a baseline to network monitoring, and as a possible approach to automatically handle and recover from erratic behavior, providing systems with adaptive web services and self-organizing capabilities.
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Helmig, Rainer, Melanie Darcis, and Holger Class. "Transfer of Modelling Concepts for Flow and Transport Processes in Porous Media From Subsurface Systems to Biological Tissues." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66412.
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Flow and transport phenomena in porous media are the governing processes in many natural and industrial systems. For the numerical description of these systems their multiscale behavior plays an important role. In one part of the system highly complex flow and transport processes may necessitate an examination of the processes on a fine spatial and temporal scale, while in other parts of the system, physically simpler processes may be examined on coarser scales. The heterogeneous structure of the porous medium itself also shows a high dependence on the spatial scale. Whereas different kinds of heterogeneities predominate on different scales. For these multiscale problems, many modeling concepts have been developed over the last decades. In this presentation, we aim to develop and to discuss the transfer of available modeling concepts for geological and industrial systems to biological tissues. In a comparison study, the similarities of both systems will be presented. First simulation results will show the opportunities of the described model transfer. In this context, we will also point out the required assumptions and the difficulties resulting from such a modeling concept transfer.
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Yoder, Valerie J., Steven W. Havens, Arthur J. Na, and Rachel E. Weingrad. "Sensor Fusion for Industrial Applications Using Transducer Markup Language." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21116.
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Manufacturing processes would greatly benefit from fusing data from many disparate sensors, but systems today do not fully exploit available sensor data. Disparate sensors could include Coordinate Measurement Machines (CMM), laser surface scanners, micro sensors, cameras, acoustic devices, thermocouples, or other various devices which provide measurement or visual data. Often, sensor data requires separate customized software for each type of sensor system, as opposed to having common tools for use across a wide array of sensor systems. This process of stove-piping requires proprietary software for analysis and display of each sensor type, and inhibits interoperability. There are several challenges to sensor fusion which need to be addressed. First, many sensors providing data are heterogeneous in phenomena detection and operation, providing measurements of different target attributes. This makes the measurements very difficult to fuse directly. Second, these disparate sensors are asynchronous in time. The collection, integration, buffering and transmitting time can each affect the way time is calculated and stored by the sensor. Transducer Markup Language (TML), developed by IRIS Corporation, addresses these challenges. This paper describes TML and addresses examples of industrial applications of TML-enabled transducer networks.
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Furini, Francesco, Marco Rossoni, and Giorgio Colombo. "Knowledge Based Engineering and Ontology Engineering Approaches for Product Development: Methods and Tools for Design Automation in Industrial Engineering." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67292.
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The study illustrated in this paper aims at analyzing the knowledge management issue related to product development. Especially, the focus is on the domains in which Knowledge-based Systems (KBE) and Design Automation (DA) tools could be adopted. In the past various studies, a lot of KBE and DA systems have been developed in multiple fields such as automotive, aerospace, energy, materials and manufacturing: the information treated in these studies are about data relatives to specific design, for example, of automotive engine components, aircraft structures, energy plants, advanced material and manufacturing or assembly lines. In all of these domain the organization and formalization of the knowledge is a critical issue. The adoption of a good strategy to manage data and information relative to products and processes involves benefits in the product development process. Different methodologies are described in literature. The two of the most used are the Object-Oriented (OO) and Ontology Engineering (OE) approaches. The former is one of the most common and adopted in the industrial domain, including a lot of implementations in the recent past years. The latter is more commonly used in other fields, like bio-engineering, used with the scope of management of experimental data; few implementation in industrial engineering have been considered. The article considers a brief description of the state of the art about Knowledge Based Engineering and Ontology Engineering. A case studies will be described and the benefits and disadvantages due to the use of the different methodologies will be discussed.
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Iraqi Houssaini, Mehdi, Mathias Kleiner, and Lionel Roucoules. "Tools Interoperability in Engineering Design Using Model-Based Engineering." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82290.
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Computer-aided engineering is widely used in various areas including manufacturing, requirement planning and product design. These specific CAE tools, here called expert tools, manipulate large amounts of data. Some of those data also need to be processed by other expert tools to allow a flexible collaboration between various experts. This article proposes an approach to exchange data of various formats manipulated by different expert tools through model-based technologies. The presented approach is validated by its implementation on an academic use case involving commercial industrial tools.
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Marcotulli, Amedeo, and David Wilkinson. "Systems Engineering of Subsea Production Systems." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31827-ms.
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Abstract Subsea production systems (SPS) are widely used throughout the upstream oil and gas industry, and can range in complexity from simple, single well tiebacks, in shallow water, through to multi-well developments (involving subsea processing), linked back to purpose-built host facilities, in deep water and/or harsh environments. As the complexity (and cost) of the SPS being deployed has increased over the past few decades, the requirement for a more rigorous and systematic approach toward the engineering of such systems has increased. Whilst it is true that many SPS are based on "industry standard" components (when viewed at a sufficiently granular level), the reality is that every SPS is in some way unique, primarily due to the large number of boundary conditions that drive the design – be it the reservoir characteristics, produced fluid properties, water depth, seabed topography/soil conditions, environmental conditions, etc. SPS are also somewhat unusual in the upstream oil and gas industry, insofar as they typically involve the transport of multiphase flowstreams over relatively long distances, which directly impacts the complexity of the system. The inherent complexity of managing multiphase flowstreams (and/or operating subsea processing facilities) using remotely operated equipment, leads to systems where many elements of the design are "tightly coupled", as a minor change in one part of the system has the potential to significantly impact the design and operation of another part of the system, even though these "system components" may be widely separated physically. Similarly, complex systems used in other industries have been found to greatly benefit from the application of formal systems engineering (SE) processes. Whilst it is acknowledged that SE has been informally practiced in the upstream oil and gas industry for many years, the approach has typically been relatively unstructured as the various SE processes are scattered throughout existing engineering and project management processes, and therefore the SE is performed in a sub-optimal manner. Systems engineering practitioners, such as they are, have learned the trade over many years of multidisciplinary experience and have developed the holistic top-down thinking required, but to date there are no publically available documents that provide specific guidance on the systems engineering of subsea production systems. A systems engineering guidance document, specifically written to be applicable to SPS, is currently being developed by members of API Sub-Committee 17 and will soon be available. The publication of this document is intended to advance the understanding of SE theory and to foster more efficient and rigorous implementation of the various SE processes, in order to improve project outcomes. The objective of this paper is to make potential users of the guidance document aware of its existence and of the benefits associated with the use of formal systems engineering processes when designing complex facilities. The guidance document will be in the format of a Technical Report and therefore is not intended to be directive in nature, and can be tailored for use as seen fit by the Project Management Team and systems engineering personnel using it.
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Marcotulli, Amedeo, and David Wilkinson. "Systems Engineering of Subsea Production Systems." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31827-ms.
Full textAbstract:
Abstract Subsea production systems (SPS) are widely used throughout the upstream oil and gas industry, and can range in complexity from simple, single well tiebacks, in shallow water, through to multi-well developments (involving subsea processing), linked back to purpose-built host facilities, in deep water and/or harsh environments. As the complexity (and cost) of the SPS being deployed has increased over the past few decades, the requirement for a more rigorous and systematic approach toward the engineering of such systems has increased. Whilst it is true that many SPS are based on "industry standard" components (when viewed at a sufficiently granular level), the reality is that every SPS is in some way unique, primarily due to the large number of boundary conditions that drive the design – be it the reservoir characteristics, produced fluid properties, water depth, seabed topography/soil conditions, environmental conditions, etc. SPS are also somewhat unusual in the upstream oil and gas industry, insofar as they typically involve the transport of multiphase flowstreams over relatively long distances, which directly impacts the complexity of the system. The inherent complexity of managing multiphase flowstreams (and/or operating subsea processing facilities) using remotely operated equipment, leads to systems where many elements of the design are "tightly coupled", as a minor change in one part of the system has the potential to significantly impact the design and operation of another part of the system, even though these "system components" may be widely separated physically. Similarly, complex systems used in other industries have been found to greatly benefit from the application of formal systems engineering (SE) processes. Whilst it is acknowledged that SE has been informally practiced in the upstream oil and gas industry for many years, the approach has typically been relatively unstructured as the various SE processes are scattered throughout existing engineering and project management processes, and therefore the SE is performed in a sub-optimal manner. Systems engineering practitioners, such as they are, have learned the trade over many years of multidisciplinary experience and have developed the holistic top-down thinking required, but to date there are no publically available documents that provide specific guidance on the systems engineering of subsea production systems. A systems engineering guidance document, specifically written to be applicable to SPS, is currently being developed by members of API Sub-Committee 17 and will soon be available. The publication of this document is intended to advance the understanding of SE theory and to foster more efficient and rigorous implementation of the various SE processes, in order to improve project outcomes. The objective of this paper is to make potential users of the guidance document aware of its existence and of the benefits associated with the use of formal systems engineering processes when designing complex facilities. The guidance document will be in the format of a Technical Report and therefore is not intended to be directive in nature, and can be tailored for use as seen fit by the Project Management Team and systems engineering personnel using it.
Reports on the topic "Other industrial, systems and processes engineering"
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Friedman, Shmuel, Jon Wraith, and Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.
Full textAbstract:
Time Domain Reflectometry (TDR) and other in-situ and remote sensing dielectric methods for determining the soil water content had become standard in both research and practice in the last two decades. Limitations of existing dielectric methods in some soils, and introduction of new agricultural measurement devices or approaches based on soil dielectric properties mandate improved understanding of the relationship between the measured effective permittivity (dielectric constant) and the soil water content. Mounting evidence indicates that consideration must be given not only to the volume fractions of soil constituents, as most mixing models assume, but also to soil attributes and ambient temperature in order to reduce errors in interpreting measured effective permittivities. The major objective of the present research project was to investigate the effects of the soil geometrical attributes and interfacial processes (bound water) on the effective permittivity of the soil, and to develop a theoretical frame for improved, soil-specific effective permittivity- water content calibration curves, which are based on easily attainable soil properties. After initializing the experimental investigation of the effective permittivity - water content relationship, we realized that the first step for water content determination by the Time Domain Reflectometry (TDR) method, namely, the TDR measurement of the soil effective permittivity still requires standardization and improvement, and we also made more efforts than originally planned towards this objective. The findings of the BARD project, related to these two consequential steps involved in TDR measurement of the soil water content, are expected to improve the accuracy of soil water content determination by existing in-situ and remote sensing dielectric methods and to help evaluate new water content sensors based on soil electrical properties. A more precise water content determination is expected to result in reduced irrigation levels, a matter which is beneficial first to American and Israeli farmers, and also to hydrologists and environmentalists dealing with production and assessment of contamination hazards of this progressively more precious natural resource. The improved understanding of the way the soil geometrical attributes affect its effective permittivity is expected to contribute to our understanding and predicting capability of other, related soil transport properties such as electrical and thermal conductivity, and diffusion coefficients of solutes and gas molecules. In addition, to the originally planned research activities we also investigated other related problems and made many contributions of short and longer terms benefits. These efforts include: Developing a method and a special TDR probe for using TDR systems to determine also the soil's matric potential; Developing a methodology for utilizing the thermodielectric effect, namely, the variation of the soil's effective permittivity with temperature, to evaluate its specific surface area; Developing a simple method for characterizing particle shape by measuring the repose angle of a granular material avalanching in water; Measurements and characterization of the pore scale, saturation degree - dependent anisotropy factor for electrical and hydraulic conductivities; Studying the dielectric properties of cereal grains towards improved determination of their water content. A reliable evaluation of the soil textural attributes (e.g. the specific surface area mentioned above) and its water content is essential for intensive irrigation and fertilization processes and within extensive precision agriculture management. The findings of the present research project are expected to improve the determination of cereal grain water content by on-line dielectric methods. A precise evaluation of grain water content is essential for pricing and evaluation of drying-before-storage requirements, issues involving energy savings and commercial aspects of major economic importance to the American agriculture. The results and methodologies developed within the above mentioned side studies are expected to be beneficial to also other industrial and environmental practices requiring the water content determination and characterization of granular materials.
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Gunay, Selim, Fan Hu, Khalid Mosalam, Arpit Nema, Jose Restrepo, Adam Zsarnoczay, and Jack Baker. Blind Prediction of Shaking Table Tests of a New Bridge Bent Design. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/svks9397.
Full textAbstract:
Considering the importance of the transportation network and bridge structures, the associated seismic design philosophy is shifting from the basic collapse prevention objective to maintaining functionality on the community scale in the aftermath of moderate to strong earthquakes (i.e., resiliency). In addition to performance, the associated construction philosophy is also being modernized, with the utilization of accelerated bridge construction (ABC) techniques to reduce impacts of construction work on traffic, society, economy, and on-site safety during construction. Recent years have seen several developments towards the design of low-damage bridges and ABC. According to the results of conducted tests, these systems have significant potential to achieve the intended community resiliency objectives. Taking advantage of such potential in the standard design and analysis processes requires proper modeling that adequately characterizes the behavior and response of these bridge systems. To evaluate the current practices and abilities of the structural engineering community to model this type of resiliency-oriented bridges, the Pacific Earthquake Engineering Research Center (PEER) organized a blind prediction contest of a two-column bridge bent consisting of columns with enhanced response characteristics achieved by a well-balanced contribution of self-centering, rocking, and energy dissipation. The parameters of this blind prediction competition are described in this report, and the predictions submitted by different teams are analyzed. In general, forces are predicted better than displacements. The post-tension bar forces and residual displacements are predicted with the best and least accuracy, respectively. Some of the predicted quantities are observed to have coefficient of variation (COV) values larger than 50%; however, in general, the scatter in the predictions amongst different teams is not significantly large. Applied ground motions (GM) in shaking table tests consisted of a series of naturally recorded earthquake acceleration signals, where GM1 is found to be the largest contributor to the displacement error for most of the teams, and GM7 is the largest contributor to the force (hence, the acceleration) error. The large contribution of GM1 to the displacement error is due to the elastic response in GM1 and the errors stemming from the incorrect estimation of the period and damping ratio. The contribution of GM7 to the force error is due to the errors in the estimation of the base-shear capacity. Several teams were able to predict forces and accelerations with only moderate bias. Displacements, however, were systematically underestimated by almost every team. This suggests that there is a general problem either in the assumptions made or the models used to simulate the response of this type of bridge bent with enhanced response characteristics. Predictions of the best-performing teams were consistently and substantially better than average in all response quantities. The engineering community would benefit from learning details of the approach of the best teams and the factors that caused the models of other teams to fail to produce similarly good results. Blind prediction contests provide: (1) very useful information regarding areas where current numerical models might be improved; and (2) quantitative data regarding the uncertainty of analytical models for use in performance-based earthquake engineering evaluations. Such blind prediction contests should be encouraged for other experimental research activities and are planned to be conducted annually by PEER.
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Minz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson, and Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7598153.bard.
Full textAbstract:
Research objectives : Identify genetic potential and community structure of soil and rhizosphere microbial community structure as affected by treated wastewater (TWW) irrigation. This objective was achieved through the examination soil and rhizosphere microbial communities of plants irrigated with fresh water (FW) and TWW. Genomic DNA extracted from soil and rhizosphere samples (Minz laboratory) was processed for DNA-based shotgun metagenome sequencing (Green laboratory). High-throughput bioinformatics was performed to compare both taxonomic and functional gene (and pathway) differences between sample types (treatment and location). Identify metabolic pathways induced or repressed by TWW irrigation. To accomplish this objective, shotgun metatranscriptome (RNA-based) sequencing was performed. Expressed genes and pathways were compared to identify significantly differentially expressed features between rhizosphere communities of plants irrigated with FW and TWW. Identify microbial gene functions and pathways affected by TWW irrigation*. To accomplish this objective, we will perform a metaproteome comparison between rhizosphere communities of plants irrigated with FW and TWW and selected soil microbial activities. Integration and evaluation of microbial community function in relation to its structure and genetic potential, and to infer the in situ physiology and function of microbial communities in soil and rhizospere under FW and TWW irrigation regimes. This objective is ongoing due to the need for extensive bioinformatics analysis. As a result of the capabilities of the new PI, we have also been characterizing the transcriptome of the plant roots as affected by the TWW irrigation and comparing the function of the plants to that of the microbiome. *This original objective was not achieved in the course of this study due to technical issues, especially the need to replace the American PIs during the project. However, the fact we were able to analyze more than one plant system as a result of the abilities of the new American PI strengthened the power of the conclusions derived from studies for the 1ˢᵗ and 2ⁿᵈ objectives. Background: As the world population grows, more urban waste is discharged to the environment, and fresh water sources are being polluted. Developing and industrial countries are increasing the use of wastewater and treated wastewater (TWW) for agriculture practice, thus turning the waste product into a valuable resource. Wastewater supplies a year- round reliable source of nutrient-rich water. Despite continuing enhancements in TWW quality, TWW irrigation can still result in unexplained and undesirable effects on crops. In part, these undesirable effects may be attributed to, among other factors, to the effects of TWW on the plant microbiome. Previous studies, including our own, have presented the TWW effect on soil microbial activity and community composition. To the best of our knowledge, however, no comprehensive study yet has been conducted on the microbial population associated BARD Report - Project 4662 Page 2 of 16 BARD Report - Project 4662 Page 3 of 16 with plant roots irrigated with TWW – a critical information gap. In this work, we characterize the effect of TWW irrigation on root-associated microbial community structure and function by using the most innovative tools available in analyzing bacterial community- a combination of microbial marker gene amplicon sequencing, microbial shotunmetagenomics (DNA-based total community and gene content characterization), microbial metatranscriptomics (RNA-based total community and gene content characterization), and plant host transcriptome response. At the core of this research, a mesocosm experiment was conducted to study and characterize the effect of TWW irrigation on tomato and lettuce plants. A focus of this study was on the plant roots, their associated microbial communities, and on the functional activities of plant root-associated microbial communities. We have found that TWW irrigation changes both the soil and root microbial community composition, and that the shift in the plant root microbiome associated with different irrigation was as significant as the changes caused by the plant host or soil type. The change in microbial community structure was accompanied by changes in the microbial community-wide functional potential (i.e., gene content of the entire microbial community, as determined through shotgun metagenome sequencing). The relative abundance of many genes was significantly different in TWW irrigated root microbiome relative to FW-irrigated root microbial communities. For example, the relative abundance of genes encoding for transporters increased in TWW-irrigated roots increased relative to FW-irrigated roots. Similarly, the relative abundance of genes linked to potassium efflux, respiratory systems and nitrogen metabolism were elevated in TWW irrigated roots when compared to FW-irrigated roots. The increased relative abundance of denitrifying genes in TWW systems relative FW systems, suggests that TWW-irrigated roots are more anaerobic compare to FW irrigated root. These gene functional data are consistent with geochemical measurements made from these systems. Specifically, the TWW irrigated soils had higher pH, total organic compound (TOC), sodium, potassium and electric conductivity values in comparison to FW soils. Thus, the root microbiome genetic functional potential can be correlated with pH, TOC and EC values and these factors must take part in the shaping the root microbiome. The expressed functions, as found by the metatranscriptome analysis, revealed many genes that increase in TWW-irrigated plant root microbial population relative to those in the FW-irrigated plants. The most substantial (and significant) were sodium-proton antiporters and Na(+)-translocatingNADH-quinoneoxidoreductase (NQR). The latter protein uses the cell respiratory machinery to harness redox force and convert the energy for efflux of sodium. As the roots and their microbiomes are exposed to the same environmental conditions, it was previously hypothesized that understanding the soil and rhizospheremicrobiome response will shed light on natural processes in these niches. This study demonstrate how newly available tools can better define complex processes and their downstream consequences, such as irrigation with water from different qualities, and to identify primary cues sensed by the plant host irrigated with TWW. From an agricultural perspective, many common practices are complicated processes with many ‘moving parts’, and are hard to characterize and predict. Multiple edaphic and microbial factors are involved, and these can react to many environmental cues. These complex systems are in turn affected by plant growth and exudation, and associated features such as irrigation, fertilization and use of pesticides. However, the combination of shotgun metagenomics, microbial shotgun metatranscriptomics, plant transcriptomics, and physical measurement of soil characteristics provides a mechanism for integrating data from highly complex agricultural systems to eventually provide for plant physiological response prediction and monitoring. BARD Report