Operations Research, Systems Engineering and Industrial Engineering Commons^™

Simulation Research Of General Cargo Terminal Operation Based On Plant Simulation, Zhixiong Liu, Xiong Yang, Xingxu Deng, Yuting Chen

Journal of System Simulation

Abstract: Combined with the key link of the general cargo loading and unloading operations, the system simulation method is employed to analyze the production efficiency for the general cargo handling operation. The Plant Simulation software is used to design the main modules of the production process such as collection operation, vessel arrival, yard operation, horizontal transportation, ship-loading operation. The simulation model of general cargo handling operation is established based on the whole operation process. The simulation model is running based on the practical production data, and the efficiency of the crane, transitions time and the average storage period are analyzed. …

Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao

Journal of System Simulation

Abstract: Robocup is an international academic competition which focuses on artificial intelligence and robotics. The 2D simulation is one of the earliest and most influential projects in Robocup. Attacking is the core behaviour of the simulated football game, as well as the attack recognition is considered as an important part in team-confrontations. This paper selects some active and contribution index of attacking, extracts lots of attacking behaviour data of the key agents, proposes two kinds of attacking patterns of 2D simulation, as ‘separate attack’ and ‘cooperative attack’, according to the human-player actions. The following simulation tests give the accuracy of …

Modeling And Simulation Of Difg Unit With Stator Inter-Turn Fault, Boqiang Xu, Liling Sun, Wenjuan Du

Journal of System Simulation

Abstract: The mathematical model of doubly fed induction generator (DFIG) with stator inter-turn fault, which presents itself as standard form state space equation, is deduced and established, for the first time. The corresponding simulation model, i.e. Matlab S-function block is developed and embedded in a Matlab built-in routine simulating DFIG unit comprising wind turbine, converter, related mechanical/electrical control and DFIG. The simulation model of DFIG unit with stator inter-turn fault is established, which is a beneficial extension of Matlab simulation. The stability of DFIG unit under the healthy and faulty conditions is analyzed by using simulation. The results show …

Simulation And Analysis Of Gas Replacement In Sealed Capsule, Xiaohui Guan, Zhou Lin

Journal of System Simulation

Abstract: The multicomponent gas replacement operations in the sealed capsule with cavities connected by slit are modeled and simulated based on the analytic estimation and the CFD numerical simulation methods in this paper. Corresponding result comparisons and discussions on the time costs and replacement effects of different replacement operations and parameters are presented. The estimation and numerical simulation results of mixing and compression replacement operations with different gas velocities demonstrate that, for the cavity connected by slit, analytic estimation method underestimates the effects of mixing replacement operation, but overestimates the compression replacement effects. During the mixing replacement operation, higher …

Mathematical Modeling And Simulation Of Hydraulic Governor For Marine Diesel Engine, Chen Jian

Journal of System Simulation

Abstract: The speed control and load limit of marine diesel engine are implemented by hydraulic governor, of which the characteristics directly determines the performance of generator set. Therefore, it is an important content of marine engine room simulator training to strengthen the students’ training and understanding of the working characteristics of the hydraulic governor. In the existing marine engine room simulators, the simulation model of hydraulic governor is too simple to carry out further training tasks. According to the working principle of hydraulic governor and the training purpose of marine engine room simulator, the mathematical model of UG-8 hydraulic governor …

Simulation Of Taxi Passenger Travel Mode Considering The Influence Of Online Booking Taxi, Cao Yi, Yanjin Li, Luo Xia

Journal of System Simulation

Abstract: To reflect a systematic account of the impact online booking taxi and cruise taxi under the condition of information, the travelling mode choice of taxi passengers was researched. The influence factors of travelling mode choice of taxi passengers were analyzed and the time values related to passenger’s own characteristics were evaluated. The functions of waiting time of online booking taxi passengers and cruise taxi passengers were formed by investigating the difference of searching behavior. Through using simulation method, the priority for online booking taxi, cruise taxi and private cars was obtained .The results showed that the online booking …

Evaluation Of Simulation Credibility Based On Rough Set And Gray Correlation Analysis, Huibo Liu, Yongjie Qian

Journal of System Simulation

Abstract: The evaluation of simulation model credibility has always been a hot issue in the simulation field. How to evaluate the credibility of the simulation is the key to the development of the simulation technology. It is of great significance for our country to carry out the credibility evaluation research. In view of the issue, the grey correlation analysis theory and the related principles in rough set theory are analyzed and the simulation credibility evaluation model based on rough set and grey correlation analysis is proposed. The indiscernibility principle in rough set is used to assign the weight distribution of …

Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia

Journal of System Simulation

Abstract: This paper researches on a continuous berth and quay crane allocation problem for low carbon container terminal. Considering the constraints of stochastic arrival time and limited truck transportation ability, a multi-objective nonlinear mixed integer programming model is established to minimize carbon emissions and average delay time. An efficient non-dominate sorting genetic algorithm II (ENSGA-II) is designed to deal with this problem. According to the characteristics of the problem, encoding rule and decoding rule based on rolling-horizon simulation, PPX crossover operator with elite selection, multi constraints mutation operator and repair operator are adopted. The results of several simulation experiments …

Modeling And Simulation Of The Crosstalk On Aircraft Arinc429 Data Bus, Xudong Shi, Ruowen Wang, Jialin Wang, Hongxu Zhao

Journal of System Simulation

Abstract: Based on the theory of multi-conductor transmission line, the crosstalk between a single cable and a UTP (unshielded twisted pairs) cable was studied. The MATLAB and CST were employed to do the theoretical calculation and modeling respectively, and the comparison result proved the validity and accuracy of the proposed model. Based on the UTP model, the shielding layer was used to build the STP（shielded twisted-wire pairs） model according to the ARINC429 specification, and the crosstalk which caused by a large voltage transient happening on the adjacent power line on the aircraft was further analyzed. The distance and length of …

Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che

Journal of International Technology and Information Management

The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.

Assessment Of Adaptability Of A Supply Chain Trading Agent’S Strategy: Evolutionary Game Theory Approach, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

With the increase in the complexity of supply chain management, the use of intelligent agents for automated trading has gained popularity (Collins, Arunachalam, B, et al. 2006). The performance of supply-chain agents depends on not just the market environment (supply and demand patterns) but also on what types of other agents they are competing with. For designers of such agents it is important to ascertain that their agents are robust and can adapt to changing market and competitive environments. However, to date there has not been any work done that assesses the adaptability of a trading agent’s strategy in the …

Sequence-Based Simulation-Optimization Framework With Application To Port Operations At Multimodal Container Terminals, Mariam Aladdin Kotachi

Engineering Management & Systems Engineering Theses & Dissertations

It is evident in previous works that operations research and mathematical algorithms can provide optimal or near-optimal solutions, whereas simulation models can aid in predicting and studying the behavior of systems over time and monitor performance under stochastic and uncertain circumstances. Given the intensive computational effort that simulation optimization methods impose, especially for large and complex systems like container terminals, a favorable approach is to reduce the search space to decrease the amount of computation.

A maritime port can consist of multiple terminals with specific functionalities and specialized equipment. A container terminal is one of several facilities in a port …

Connected Alerts Across Manufacturing Facilities, Jordan J. Moy

Industrial and Manufacturing Engineering

The lack of communication during a large project can result in costly delays when striving to achieve previously defined benchmarks. Often times, each part of a project will require verification from an employee of a specified area of expertise before being allowed to advance to the next stage. Finding these individuals can be extremely hard due to the large, spread out campus of manufacturing facilities as well as the numerous projects the company is concurrently working on. These floor support requests can sometimes take from an hour to even a whole work day, causing major delays in the production schedule. …

Dispensing Medical Countermeasures In Public Health Emergencies Via Home Health Agencies And Points Of Distribution, Anna Hudgeons

Industrial Engineering Undergraduate Honors Theses

A major concern regarding emergency preparedness on the state government level involves the handling and dispensing of the Strategic National Stockpile (SNS) of medicinal supplies. Each state is required to update and maintain a plan of action for dispensing SNS materials that would effectively provide care to the state’s population in times of distress. This research evaluates a state’s ability to dispense an adequate amount of medicine to her population in a timely manner, specifically after it has been received by the state government. Although simulation modeling has previously been utilized to replicate the dispensing process at pre-designated points of …

Simulation-Based Analysis And Optimization Of The United States Army Performance Appraisal System., Lee A. Evans

Electronic Theses and Dissertations

In this dissertation, a discrete event simulation framework is considered to replicate the dynamics, structure, and regulatory constraints placed on the officers in the U.S. Army. Using performance appraisal data provided by the United States Army Human Resources Command, we create a multi-objective response function that quantifies the human behavior associated with evaluating subordinates. Utilizing simulation-optimization techniques for model validation enables estimating unknown input parameters, such as human behavior, based on historical data. Furthermore, the model allows users to analyze the effects of current constraints on the evaluation system and the effects of proposed personnel policy changes.The effectiveness of the …

Efficient Redundancy Techniques In Cloud And Desktop Grid Systems Using Map/G/C-Type Queues, Srinivas R. Chakravarthy, Alexander Rumyantsev

Industrial & Manufacturing Engineering Publications

Cloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop …

Demonstrating The Functionality And Efficacy Of Blockchain-Based System In Healthcare Using Simulation Tools, Jad S. Mubaslat

Browse all Theses and Dissertations

Blockchain and cryptocurrencies have been a rapidly growing industry and area of academic research since Bitcoin's launch in early 2009. Blockchains have already been applied in spaces outside of finance, such as healthcare. This work explores the Bitcoin blockchain and a blockchain-based care coordination system through the use of modeling and simulation tools. Two agent based models are constructed: one to represent the Bitcoin blockchain, and a second to represent a blockchain-based care coordination system, MDChain. Insight is provided that is relevant to current issues within the Bitcoin community and predictions are made as to its future. The feasibility of …

Development Of A Framework And Analysis System To Support Intervention In Newborn Healthcare, Holly E. Lane

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

One of the most vulnerable populations in healthcare is the newborn infant. As hospitalization for childbirth is the largest cause for entry into a healthcare facility, the population of newborns each year is extensive as is their cost of care. Newborn infants also may have additional costs associated with readmission for common or preventable illnesses, which may occur due to insufficient infant screening or lack of caregiver knowledge. Much research has been done to attempt to determine causes of readmission, what contributes to an increased or decreased readmission rate among newborns, and how healthcare interventions can impact these rates and …

Modeling And Simulation Of Microgrid, Ahmad Alzahrani, Mehdi Ferdowsi, Pourya Shamsi, Cihan H. Dagli

Electrical and Computer Engineering Faculty Research & Creative Works

Complex computer systems and electric power grids share many properties of how they behave and how they are structured. A microgrid is a smaller electric grid that contains several homes, energy storage units, and distributed generators. The main idea behind microgrids is the ability to work even if the main grid is not supplying power. That is, the energy storage unit and distributed generation will supply power in that case, and if there is excess in power production from renewable energy sources, it will go to the energy storage unit. Therefore, the electric grid becomes decentralized in terms of control …

Personalized Decision Modeling For Intervention And Prevention Of Cancers, Fan Wang

Graduate Theses and Dissertations

Personalized medicine has been utilized in all stages of cancer care in recent years, including the prevention, diagnosis, treatment and follow-up. Since prevention and early intervention are particularly crucial in reducing cancer mortalities, personalizing the corresponding strategies and decisions so as to provide the most appropriate or optimal medical services for different patients can greatly improve the current cancer control practices. This dissertation research performs an in-depth exploration of personalized decision modeling of cancer intervention and prevention problems. We investigate the patient-specific screening and vaccination strategies for breast cancer and the cancers related to human papillomavirus (HPV), representatively. Three popular …

An Optimization Model For Operating Room Scheduling To Reduce Blocking Across The Perioperative Process, Amin Abedini, Wei Li, Honghan Ye

Mechanical Engineering Faculty Publications

Operating room (OR) scheduling is important. Because of increasing demand for surgical services, hospitals must provide high quality care more efficiently with limited resources. When constructing the OR schedule, it is necessary to consider the availability of downstream resources, such as intensive care unit (ICU) and post anaesthesia care unit (PACU). The unavailability of downstream resources causes blockings between every two consecutive stages. In this paper we address the master surgical schedule (MSS) problem in order to minimize blockings between two consecutive stages. First, we present a blocking minimization (BM) model for the MSS by using integer programming, based on …

Productivity Improvement And Cost Optimization Of Small And Medium Scale Enterprises, Unmesh Vishwas Tamhankar

Industrial, Manufacturing, and Systems Theses - Archive

Productivity improvement and cost optimization have been a topic of discussion for at least a century. The publication of Fredrick Taylor’s book ‘The Principles of Scientific Management’ in 1911 can be considered as the beginning of the Efficiency movement. Surprisingly, the awareness about the principles of Industrial Engineering is relatively low in many family-owned Small and Medium Scale Enterprises (SMEs). According to a World Bank report, formal SMEs make up 45% of total employment and contribute 33% of GDP in emerging markets. In the USA, SMEs make up for more than 95% of all firms and employ 50% of private …

Performance Analysis Of Organizations As Complex Systems., William C. Harrington Jr.

Electronic Theses and Dissertations

This dissertation provides a method for evaluating the difference in performance after an organization makes a change while considering the stochastic nature in which it operates. A procedure that uses simulation to estimate outcomes by adjusting controllable parameters and leaving uncontrolled parameters unadjusted is proposed. As healthcare organizations are considered as highly complex systems, a case study involving a scheduling tactic change in the mother-baby service line of a hospital is used to demonstrate application of this procedure. The goal in the case study was to reduce delays in transitioning care of mother patients from the labor and delivery unit …

Optimizing The B.O.B., Valerie N. Washington, Douglas Starzec

KSU Journey Honors College Capstones and Theses

The Kennesaw State University Department of Transportation manages the Big Owl Bus (B.O.B.). The B.O.B. has 9 routes which provide transportation around and between the Kennesaw and Marietta campuses, as well as to select off-campus apartment complexes and shopping centers. We utilized a number of methodologies to recommend improvements to the efficiency and accessibility of the B.O.B. We first used the vehicle routing problem to develop a binary integer linear programming model. This allowed us to determine a new set of routes that minimize total travel time across the routes. Next, we developed an integer non-linear programming model to assign …

A Predictor Analysis Framework For Surface Radiation Budget Reprocessing Using Design Of Experiments, Patricia Allison Quigley

Engineering Management & Systems Engineering Theses & Dissertations

Earth’s Radiation Budget (ERB) is an accounting of all incoming energy from the sun and outgoing energy reflected and radiated to space by earth’s surface and atmosphere. The National Aeronautics and Space Administration (NASA)/Global Energy and Water Cycle Experiment (GEWEX) Surface Radiation Budget (SRB) project produces and archives long-term datasets representative of this energy exchange system on a global scale. The data are comprised of the longwave and shortwave radiative components of the system and is algorithmically derived from satellite and atmospheric assimilation products, and acquired atmospheric data. It is stored as 3-hourly, daily, monthly/3-hourly, and monthly averages of 1°x1° …

Impact Of A Localized Lean Six Sigma Implementation On Overall Patient Safety And Process Efficiency, Luvianca Gil, Pilar Pazos, Mamadou Seck, Rolando Delaguila

Engineering Management & Systems Engineering Faculty Publications

Continuous quality improvement tools have caught the attention of the Health Care Industry as a solution to process efficiency, patient safety and cost reduction. This research explores the impact of a Lean Six Sigma (LSS) process improvement initiative in overall process efficiency and patient safety in two Labor and Delivery (L+D) units of two large hospital providers. This study focuses on the application of modeling and simulation methodology to investigate the influence of a localized process improvement intervention on the overall L+D unit output, by considering patient flow, system capacity and unit performance. The simulation models capacity profiles and patient …

Adaptive Sampling Trust-Region Methods For Derivative-Based And Derivative-Free Simulation Optimization Problems, Sara Shashaani

Open Access Dissertations

We consider unconstrained optimization problems where only “stochastic” estimates of the objective function are observable as replicates from a Monte Carlo simulation oracle. In the first study we assume that the function gradients are directly observable through the Monte Carlo simulation. We propose ASTRO, which is an adaptive sampling based trust-region optimization method where a stochastic local model is constructed, optimized, and updated iteratively. ASTRO is a derivative-based algorithm and provides almost sure convergence to a first-order critical point with good practical performance. In the second study the Monte Carlo simulation is assumed to provide no direct observations of the …

Simulation Modeling For Energy Consumption Of Residential Consumers In Response To Demand Side Management., Prajwal Khadgi

Electronic Theses and Dissertations

Energy efficiency in the electricity distribution system continues to gain importance as demand for electricity keeps rising and resources keep diminishing. Achieving higher energy efficiency by implementing control strategies and demand response (DR) programs has always been a topic of interest in the electric utility industry. The advent of smart grids with enhanced data communication capabilities propels DR to be an essential part of the next generation power distribution system. Fundamentally, DR has the ability to charge a customer the true price of electricity at the time of use, and the general perception is that consumers would shift their load …

Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, combining computer simulation to generate the data and an advanced non-linear regression technique called the Alternating Conditional Expectation (ACE) to construct a set of easy-to-use equations to predict the performance of queues with a scheduled start and end time. Our results show that the equations can accurately predict the queue performance as a function of the number of servers, mean arrival load, session length and service time variability. …

Operational Decision Making For Medical Clinics Through The Use Of Simulation And Multi-Attribute Utility Theory., Bo Sun

Electronic Theses and Dissertations

Currently, health care is a large industry that concerns everyone. Outpatient health care is an important part of the American health care system and is one of the strongest growth areas in the health care system. Many people pay attention to how to keep basic health care available to as many people as possible. A large health care system is usually evaluated by many performance measures. For example, the managers of a medical clinic are concerned about increasing staff utilization; both managers and patients are concerned about patient waiting time. In this dissertation, we study decision making for clinics in …