Maintenance Isn’T Just About Grease,
2020
University of Arkansas, Fayetteville
Maintenance Isn’T Just About Grease, Jim Burgin
Operations Management Presentations
Document maintenance is becoming a bit of a challenge. Slowly, but surely, business leaders are realizing that maintenance isn’t just a “necessary evil” but a competitive advantage that can help differentiate their company from others in the same industry. Maintenance is a broad concept, and this webinar is just to get you thinking about maintenance in a different way. Because of the “necessary evil” concept, professional maintenance resources are rare.
Maintenance costs real money. Depending on the size of the operation, labor, contractors, and material costs can be significant. While that seems like a lot of money, consider the costs …
Simulation Modeling Of Cross-Dock And Distribution Center Based Supply Chains,
2020
University of Arkansas, Fayetteville
Simulation Modeling Of Cross-Dock And Distribution Center Based Supply Chains, Ghewa Al Chall
Graduate Theses and Dissertations
Companies are implementing new strategies to meet the customer requirements in terms of quality, timing, and cost. One of these strategies is cross-docking, which can be defined as the process of consolidating the products coming from different suppliers, but having the same destination, with minimal handling and almost no storage between loading and unloading of the goods. The purpose of this research is to investigate the benefits of having a cross-docking facility in a supply chain. In this research, we focus on developing discrete event simulation models using the opensource Java Simulation Library (JSL). Also, we work on augmenting an …
Improvement Of Geometric Quality Inspection And Process Efficiency In Additive Manufacturing,
2020
University of Arkansas, Fayetteville
Improvement Of Geometric Quality Inspection And Process Efficiency In Additive Manufacturing, Yu Jin
Graduate Theses and Dissertations
Additive manufacturing (AM) has been known for its ability of producing complex geometries in flexible production environments. In recent decades, it has attracted increasing attention and interest of different industrial sectors. However, there are still some technical challenges hindering the wide application of AM. One major barrier is the limited dimensional accuracy of AM produced parts, especially for industrial sectors such as aerospace and biomedical engineering, where high geometric accuracy is required. Nevertheless, traditional quality inspection techniques might not perform well due to the complexity and flexibility of AM fabricated parts. Another issue, which is brought up from the growing …
When Optimal Isn’T Optimal,
2020
University of Arkansas, Fayetteville
When Optimal Isn’T Optimal, Robin Burk
Operations Management Presentations
Whether you’re an operations manager, a financial executive, an engineer, or an analyst, chances are you’ve been taught to optimize the outcomes of your decisions. And taken in a vacuum, that makes a good deal of sense. But as the new discipline of complex adaptive networks shows, in our heavily interconnected, interdependent world optimizing can introduce hidden vulnerabilities to surprisingly expensive failures. In this webinar we’ll discuss examples of such failures and identify conditions for which a satisfactory but not optimal solution is the best approach overall.
Bootstrap Statistics,
2020
University of Arkansas, Fayetteville
Bootstrap Statistics, Greg Hutto
Operations Management Presentations
Bootstrap Statistics is an intuitive approach to learning statistics because of its simplicity, freedom from assumptions and wide applicability. This webinar will refresh your knowledge of statistics and give you intuitive tools to apply concepts. We will deduce robust methods to build point estimates, interval estimates and assert differences or similarities. If time permits, we’ll even evaluate statistical power! And we’ll do it all with only one major assumption and no curtain of math or normal theory clouding our procedures. The webinar will be accompanied by three papers, tool references, slides and a sample data set with solutions.
Application Of Theory Of Constraints (Toc) In Managing Project Information Constraints,
2020
Old Dominion University
Application Of Theory Of Constraints (Toc) In Managing Project Information Constraints, Ferdinand Z. Prantl
EMSE Doctoral Projects
The scope of this doctoral project is the non-traditional application of Drum-Buffer-Rope (DBR) from the area of Theory of Constraints (ToC) in mitigating disruption in distribution facilities during phased upgrades caused by information constraint. The relevance of this project is that industrial equipment upgrades pose a significant risk of disrupting the operation of automated distribution facilities. It is partly due to a very high expected availability rate, as well as tight coupling with other upstream and downstream elements of the larger supply chain network. As a consequence of disruption in this scenario, losses incurred not only within the facility being …
Innovative Solutions To Overcome Educational Lab Limitations,
2020
Indiana State University
Innovative Solutions To Overcome Educational Lab Limitations, Farman A. Moayed
Department of Built Environment
No abstract provided.
A Comparison Of Sbir Investment Methods: Afwerx Vs Legacy,
2020
Air Force Institute of Technology
A Comparison Of Sbir Investment Methods: Afwerx Vs Legacy, Evan A. Gist
Theses and Dissertations
The AFWERX Open Topic (AOT) program uses funding from the United States Air Force’s (USAF) Small Business Innovation and Research (SBIR) budget to adapt commercial technology to USAF needs. The AOT approach to small business investment is markedly different from that of legacy SBIR investment methods. This research is a comparison of processes and outcomes for AOT and legacy SBIR. The first axis of comparison is on commercialization rates. Applying a legacy definition of commercialization on a sample of AOT contracts, we found AOT’s commercialization to be 37% (compared to an 8.8% for legacy SBIR). We caveat this finding by …
Conduction Mapping For Quality Control Of Laser Powder Bed Fusion Additive Manufacturing,
2020
Air Force Institute of Technology
Conduction Mapping For Quality Control Of Laser Powder Bed Fusion Additive Manufacturing, Chance M. Baxter
Theses and Dissertations
A process was developed to identify potential defects in previous layers of Selective Laser Melting (SLM) Powder Bed Fusion (PBF) 3D printed metal parts using a mid-IR thermal camera to track infrared 3.8-4 m band emission over time as the part cooled to ambient temperature. Efforts focused on identifying anomalies in thermal conduction. To simplify the approach and reduce the need for significant computation, no attempts were made to calibrate measured intensity, extract surface temperature, apply machine learning, or compare measured cool-down behavior to computer model predictions. Raw intensity cool-down curves were fit to a simplified functional form designed to …
Precise Measuring Cells For Quantitative And Qualitative Measurement,
2020
Doctor of Technical Sciences, Professor, Department of Automation and Automation of Production Processes, St. Petersburg Institute of Management and Food Technologies, Address: nab. Griboedov Canal, 7, 191186, St. Petersburg, Russia,
Precise Measuring Cells For Quantitative And Qualitative Measurement, A.A. Begunov, B.M. Akhmedov, R.A. Ibragimov
Chemical Technology, Control and Management
The main provisions considered in assessing the accuracy of methods and measurement results are considered. It is shown that in the experimental assessment of various accuracy indicators, and also when analyzing the content of components in various gaseous media, the sorption-gravimetric measurement method is widely used, methods for measuring the mass of the sorbent and possible sources of error of this technique. Methods of measuring the mass of gas using specific surface areas, including taking into account the contact of gas with a solid material, and also, the amount of adsorbed gas and its pressure, temperature, type and size of …
Controlling And Forecasting The Reliability Of Integrated Circuits Of Radio Systems Transmitting Information,
2020
Tashkent State Technical University, Uzbekistan
Controlling And Forecasting The Reliability Of Integrated Circuits Of Radio Systems Transmitting Information, Abdulaziz M. Nazarov Prof, Dilmurod A. Davronbekov Prof.
Chemical Technology, Control and Management
The issues of forecasting the reliability of integrated circuits, which are the main element base of modern radio engineering information transmission systems, are considered. Methods of parametric and functional control are described to determine the correspondence of the static and dynamic parameters of microcircuits to the required values. A combined method for determining the operating parameters of microcircuits is also described. The advantage of this method in addition to the two above methods is indicated that it combines the function of controlling the operation of the entire control system. Two approaches for predicting reliability are given, as well as mathematical …
Features Of Hydration Process, Structure Formation And Curing Processes Of Mono And Polymineral Cement In The Presence Of Additives Of Solid Waste Of Soda Production,
2020
Tashkent Chemical-Technogical Institute, Uzbekistan
Features Of Hydration Process, Structure Formation And Curing Processes Of Mono And Polymineral Cement In The Presence Of Additives Of Solid Waste Of Soda Production, Nargis Shamadinova, Gulnora Abdukadirovna Tokhtakhunova Phd, Temur Azimovich Atakuziev, Shakhnoza Saidanvarovna Rakhimjanova
Chemical Technology, Control and Management
The influence of the additive of solid waste of soda production (SWSP) on the content of -C2S and C3S in cement studied. It was found that SWSP affects the density of the aluminum-containing minerals C3A and C4AF, in addition, in the presence of gypsum, their plasticizing properties improved. The introduction of SWSP additives during grinding of clinker intensifies the grinding process and made it possible to obtain a more plastic cement. It was proved that SWSP with CaCl2 content can be used as an additive to concrete and cement mortars - …
Investigating The Solution Properties Of Population Model Of Cross-Diffusion Model With Double Nonlinearity And With Variable Density,
2020
Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temur street, 108, 100200, Tashkent city, Republic of Uzbekistan
Investigating The Solution Properties Of Population Model Of Cross-Diffusion Model With Double Nonlinearity And With Variable Density, Dildora Kabilovna Muhamediyeva
Chemical Technology, Control and Management
The models of two competing populations with double nonlinear diffusion and three types of functional dependencies are considered. The first dependence corresponds to the Malthusian type, the second to the Verhühlst type (logistic population), and the third to Olli-type populations. A common element of this kind of description is the presence of a linear source. Nonlinear sinks are also present in descriptions of populations of the Verhulst and Ollie type. Suitable initial approximations for a rapidly converging iterative process are proposed. Based on a self-similar analysis and comparison of the solutions of the Cauchy problem in the domain for an …
Techniques To Solve Decision-Making Problems,
2020
Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temurstreet, 108, 100200, Tashkent city, Republic of Uzbekistan, Phone:+998-95-195-47-52
Techniques To Solve Decision-Making Problems, Dilnoz Tulkunovna Muhamediyeva, Bekmuratov Fayzievich Tulkun
Chemical Technology, Control and Management
Solving decision-making problems in poorly formalized systems only with the help of deterministic and probabilistic methods is insufficient. To do this, it is necessary to widely apply the methods of hybrid intelligent systems and, especially, the methods of “soft” calculations (SoftCalculation, SoftComputing) and the directions of ComputationalIntelligence — intelligent computing technologies that are emerging on this theoretical and methodological base. An immune - fuzzy algorithm for the synthesis of fuzzy inference systems (FIS) is proposed. A two-stage adaptive FIS synthesis algorithm is described. At the first stage, the initial fuzzy parameters are clustered in order to reduce the number of …
Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production,
2020
Tashkent State Technical University named after Islam Karimov
Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production, Yusupbekov Nodirbek, Shukhrat Gulyamov, Malika Doshchanova
Chemical Technology, Control and Management
The paper implements a modification of a fuzzy neural network, which is suitable for predictive control purposes. Adaptation of a multidimensional programmable controller based on a neural algorithm for the back propagation of forecasting errors is proposed, as well as neural parametric identification of a fuzzy mathematical model of complex technological processes and production based on experimental data and expert estimates.
Steady Algorithms For Synthesis Of Multidimensional Controlling Systems With Incomplete Information About The Object State,
2020
PhD., Department Tashkent State Technical University, Tel.: (+99890) 900-56-25
Steady Algorithms For Synthesis Of Multidimensional Controlling Systems With Incomplete Information About The Object State, Uktam Farkhodovich Mamirov
Chemical Technology, Control and Management
In this paper, questions of forming and creation of steady synthesis algorithms of multidimensional controlling systems at incomplete information on object status are considered. It is shown that the matrix of feedback coupling on a status at the complete information is not determined. The different algorithms of steady calculation of a matrix pseudo-inverse to the matrix of outputs using these or those decomposition of matrixes are analyzed. Algorithms of iterative specification of a required solution of "skeletal" decomposition are given. The given expressions allow synthesizing the simplified computing procedures of synthesis of multidimensional controlling systems at incomplete information on object …
Importance Of Morphological Features In Orthoptera Identification,
2020
Scientific And Innovation Center Of Information And Communication Technologies, Tashkent, Uzbekistan
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Chemical Technology, Control and Management
This article analyzes the problems of implementing image recognition methods and algorithms for identifying biological objects. The Orthoptera group was chosen as a biological object. Orthoptera is a taxonomic order of insects that includes grasshoppers, crickets, locusts, and others. Approaches to the formation and identification of features of Orthoptera species and the formation of training and control samples of their samples are proposed. Estimation algorithms (ACE) were chosen as algorithmic support for identifying Orthoptera collections. ACE is based on the principle of partial priority. Approaches to the formation of a training and testing complex based on the data from the …
An Analysis Of The Influence Of Hand Hole And Ventilation Hole Design On Compressive Strength Of Corrugated Fiberboard Boxes By An Artificial Neural Network Model,
2020
Kasetsart University
An Analysis Of The Influence Of Hand Hole And Ventilation Hole Design On Compressive Strength Of Corrugated Fiberboard Boxes By An Artificial Neural Network Model, Tita Archaviboonyobul, Ravipim Chaveesuk, Jay Singh, Tunyarut Jinkarn
Industrial Technology and Packaging
This research aimed at developing a high-performing corrugated fiberboard box compression strength prediction model and to analyze the influences of ventilation and hand hole designs for these containers on the box compression test (BCT) by applying artificial neural network (ANN) modeling. The input variables considered in this study are composed of nine parameters including box dimension as well as shapes, sizes, positions, and locations of ventilations and hand holes of a regular slotted container (RSC, FEFCO 0201). Back propagation algorithms (BPNs) of ANN models were developed from 970 BCT testing data points (single wall boards, C flute, 205/112/205 g/m2). Tested …
Dual-Axis Solar Tracker,
2020
Central Washington University
Dual-Axis Solar Tracker, Bryan Kennedy
All Undergraduate Projects
Renewable energies, and fuels that are not fossil fuel-based, are one of the prolific topics of debate in modern society. With climate change now becoming a primary focus for scientists and innovators of today, one of the areas for the largest amount of potential and growth is that of the capturing and utilization of Solar Energy. This method involves using a mechanical system to track the progression of the sun as it traverses the sky throughout the day. A dual-axis solar tracker such as the one designed and built for this project, can follow the sun both azimuthally and in …
Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs,
2020
University of Kentucky
Tolerance Intervals For Time Series Models And Specifying Trimming/Winsorizing Cutoffs, Kedai Cheng
Theses and Dissertations--Statistics
Confidence intervals are used to capture a parameter of interest, usually a mean or a quantile, at a specified confidence level. Prediction intervals are another practical interval that aim at making sound predictions of future values with some confidence. Although these are useful inference tools, neither of them gives people a plausible range of the sampled population. Tolerance intervals are such an inference tool that captures a specified proportion of the sampled population at a predetermined confidence level. In this dissertation, tolerance intervals for an autoregressive process with order p are constructed. In addition, a method of utilizing tolerance interval …
