Open Access. Powered by Scholars. Published by Universities.®

Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Optimization

Discipline
Institution
Publication Year
Publication
Publication Type
File Type

Articles 1 - 30 of 119

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Interventions Of Waterjet Technology In Skin Incisions, Nadi Atalla May 2019

Interventions Of Waterjet Technology In Skin Incisions, Nadi Atalla

Dissertations

This research explores the use of waterjet (WJ) technology in performing skin incisions. The study defines the analytical relationships between the skin properties and the operating parameters of the WJ which include the skin thickness, its elastic modulus, the WJ pressure, the nozzle’s orifice diameter, its stand-off distance and the traverse speed of the WJ as well as the duration of applying the WJ pressure. An analytical model is developed to measure the depth incision of the skin, the water pressure and the water velocity, while using a WJ. Systemization and optimization models that determine the optimal operating parameters ...


Supply Chain Network Analysis For Outboard Motors At Motor Boaters Usa, Seyedalireza (Ali) Ghiasi, Chase Griffith, Djanene Manuel, Yesenia Pérez, Alvand Rafiee Apr 2019

Supply Chain Network Analysis For Outboard Motors At Motor Boaters Usa, Seyedalireza (Ali) Ghiasi, Chase Griffith, Djanene Manuel, Yesenia Pérez, Alvand Rafiee

Senior Design Project For Engineers

Motor Boaters USA found themselves possibly spending too much on their current network distribution of small and large outboard motors and requested new distribution alternatives for the U.S. Through past network distribution data analysis, the team devised 3 scenarios it believed would provide one or more cost effective distribution networks applicable to the request. Through what-if analysis, the teams' calculations produced solid results, which were then presented to Motor Boaters USA for reflection and possible implementation.


Optimization Of The Retention Rates Of Ready Mix Usa Drivers, Pruthvi Hira, Jaime Harmon, Kenneth Correa, Destiny Sessums Apr 2019

Optimization Of The Retention Rates Of Ready Mix Usa Drivers, Pruthvi Hira, Jaime Harmon, Kenneth Correa, Destiny Sessums

Senior Design Project For Engineers

Ready Mix USA, a CEMEX company, is a giant in the building materials industry, servicing the Southeastern region of the United States through various commercial and residential projects. The Atlanta Division of RMUSA currently consists of 15 operational plants in the state of Georgia with its headquarters located in Woodstock. From the years 2015 to 2018, managers at Ready Mix USA noticed a drastic increase in turnover rates of ready mix truck drivers and did not have an answer for the increasing percentages. The Continuous Improvement at RMUSA tasked the student project team from the Industrial and Systems Engineering department ...


A Computational Intelligence Approach To System-Of-Systems Architecting Incorporating Multi-Objective Optimization, David M. Curry, Cihan H. Dagli Mar 2019

A Computational Intelligence Approach To System-Of-Systems Architecting Incorporating Multi-Objective Optimization, David M. Curry, Cihan H. Dagli

Cihan H. Dagli

A computational intelligence approach to system-of-systems architecting is developed using multi-objective optimization. Such an approach yields a set of optimal solutions (the Pareto set) which has both advantages and disadvantages. The primary benefit is that a set of solutions provides a picture of the optimal solution space that a single solution cannot. The primary difficulty is making use of a potentially infinite set of solutions. Therefore, a significant part of this approach is the development of a method to model the solution set with a finite number of points allowing the architect to intelligently choose a subset of optimal solutions ...


Curricular Optimization: Solving For The Optimal Student Success Pathway, William G. Thompson-Arjona Jan 2019

Curricular Optimization: Solving For The Optimal Student Success Pathway, William G. Thompson-Arjona

Theses and Dissertations--Electrical and Computer Engineering

Considering the significant investment of higher education made by students and their families, graduating in a timely manner is of the utmost importance. Delay attributed to drop out or the retaking of a course adds cost and negatively affects a student’s academic progression. Considering this, it becomes paramount for institutions to focus on student success in relation to term scheduling.

Often overlooked, complexity of a course schedule may be one of the most important factors in whether or not a student successfully completes his or her degree. More often than not students entering an institution as a first time ...


Operational Squadron Scheduling, Khaled A. Almannaei Sep 2018

Operational Squadron Scheduling, Khaled A. Almannaei

Theses and Dissertations

The 28th Operational Weather Squadron (28th OWS) is responsible for producing and disseminating mission planning and execution weather analyses and forecasts. The squadron must prepare schedules that meet the needs of their mission while dealing with real-world constraints such as time windows, task priorities, and intermittent recurring missions. The 28th OWS's manning consists of active duty, deployed in-place, reserve, civilian and contract personnel. In this research, a scheduling model and algorithm are provided as an approach to crew scheduling for the 28th Operational Weather Squadron. Scheduling in the 28th OWS is complex and can be time consuming. This model ...


Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson Aug 2018

Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson

The Summer Undergraduate Research Fellowship (SURF) Symposium

Coastal Louisiana is a critical economic, ecological and cultural asset, acting as a major hub for waterborne commerce, fisheries, and the petrochemical industry, and also as one of the world’s unique wetlands. Unfortunately, this rich environment is in great danger from the threat of hurricanes and storm surge flooding. Direct economic losses are estimated to average $2.7 billion per year under current conditions, and this could increase to $12 billion a year, or more, within 50 years if nothing is done. To prevent this catastrophe, Louisiana has developed a Comprehensive Master Plan for a Sustainable Coast, which plans ...


Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser Aug 2018

Developing Optimization Techniques For Logistical Tendering Using Reverse Combinatorial Auctions, Jennifer Kiser

Electronic Theses and Dissertations

In business-to-business logistical sourcing events, companies regularly use a bidding process known as tendering in the procurement of transportation services from third-party providers. Usually in the form of an auction involving a single buyer and one or more sellers, the buyer must make decisions regarding with which suppliers to partner and how to distribute the transportation lanes and volume among its suppliers; this is equivalent to solving the optimization problem commonly referred to as the Winner Determination Problem. In order to take into account the complexities inherent to the procurement problem, such as considering a supplier’s network, economies of ...


Sequence-Based Simulation-Optimization Framework With Application To Port Operations At Multimodal Container Terminals, Mariam Aladdin Kotachi Jul 2018

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 ...


Process Improvement At "The Manse On Marsh", Kevin C. Manko Jun 2018

Process Improvement At "The Manse On Marsh", Kevin C. Manko

Industrial and Manufacturing Engineering

The Manse on Marsh is an independent and assisted living facility that prides itself on providing life-enriching care for the elderly. Considering that the staff is essential to supply this care and turnover rates are a constant factor, the company would like to reduce the time it takes to hire new employees by at least one week. To facilitate this goal, process flow maps are utilized to assess the current state of the hiring process and metrics are applied to support future state design decisions. After performing a value added analysis and identifying areas of waste, a total of 20 ...


Healing Alternatives Workspace Remodel, Lissandra Ilcyn, Jenifer Astrid Colmenares, Grace E. Kuffner Jun 2018

Healing Alternatives Workspace Remodel, Lissandra Ilcyn, Jenifer Astrid Colmenares, Grace E. Kuffner

Industrial and Manufacturing Engineering

Healing Alternatives is an acupuncture office space located in a repurposed house in San Luis Obispo. Healing Alternatives’ current facility layout does not allow for an additional treatment room or the space to provide additional services because of the wasted space within the facility. Furthermore, patients can be disrupted by noise outside the treatment room causing a negative customer experience. The project team’s objectives are to:

o Design two layout alternatives

o Provide a time estimate for each alternative

o Provide a cost analysis of each alternative

o Implement 5s methodology on the storage room

o Provide a 2D-3D ...


Vial Of Life Redesign, Andrew Scott Heim, Marisonn Manalo Jun 2018

Vial Of Life Redesign, Andrew Scott Heim, Marisonn Manalo

Industrial and Manufacturing Engineering

Cambria Anonymous Neighbors (CAN), a nonprofit organization assisting the residences of Cambria, hopes to standardize first responder procedures and make medical information easily accessible in case of a medical emergency. Currently the container costs $3.78. CAN would like to provide 2000 containers at a lower cost. After researching materials, acrylic was found to be the best option for the container material due to its low cost and durability. A laser cutter was used to cut the acrylic pieces, and then a set of step by step instructions were created to assemble the product. To reduce the cost of acrylic ...


Class A Average Handle Time Standard, Stephanie Lee Apr 2018

Class A Average Handle Time Standard, Stephanie Lee

Senior Design Project For Engineers

This report provides an analysis and evaluation on the Average Handle Time performed at Class A. The Universal, Shipping, International, Tracking, InfoNotice, Amazon, Field Support Group, and Preferred Customer Associates call types are evaluated in this study. An Average Handle Time Standard is created, while meeting the appropriate sample size, covering multiple site locations, at various times of the day and days of the week, and meeting corporate quality expectations. Methods of cost analysis, Six Sigma, and optimization are utilized in this study. The V-Process Model is used to verify the system. The implementation and results served as the verification ...


Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu Feb 2018

Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

This paper proposes an agent-based simulation model to study the biomass supply contract pricing and policy making in the biofuel industry. In the proposed model, the agents include farmers and a biofuel producer. Farmers' decision-making is assumed to be profit driven, which is formulated as a mixed-integer optimization model, and the biofuel producer's pricing decision is represented with a linear equation with an objective to maximize profits. A case study based on Iowa has been developed to analyze the interactions between the stakeholders and assist determination of the optimal pricing equation for the biofuel producer. Simulation results show that ...


Technical Project Management: Union Of Systems Engineering Processes With Project Management Processes, Deyaaldeen M. Abusal Jan 2018

Technical Project Management: Union Of Systems Engineering Processes With Project Management Processes, Deyaaldeen M. Abusal

Open Access Theses & Dissertations

Today, most projects in technical fields utilize project management to complete projects as planned, and some of the projects utilize system engineering to cover the project in both technically and commercially. This Thesis investigates the relationship between Project Management (PM) and Systems Engineering (SE) to determine if a suitably professional level of management and level of quality can be achieved. When studying PM and SE separately and make a comparison between both, there is much overlap between these two mature fields. The project could be planned and completed solely by either process. This study combines both fields of Project Management ...


Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher Jan 2018

Three New Approaches To Genomic Selection, Lizhi Wang, Guodong Zhu, Will Johnson, Mriga Kher

Industrial and Manufacturing Systems Engineering Publications

Conventional genomic selection approaches use breeding values to evaluate individual plants or animals and to make selection decisions. Multiple variants of breeding values and selection approaches have been proposed, but they suffer two major limitations. First, selection decisions are not responsive to changes in time and resource availability. Second, selection decisions are not coordinated with related decisions such as mating and resource allocation. We present three new genomic selection approaches that attempt to address these two limitations, which were designed by engineering students in a class project at Iowa State University. Compared with previous approaches using the same data set ...


Optimization Algorithms For Machine Learning Designed For Parallel And Distributed Environments, Seyedalireza Yektamaram Jan 2018

Optimization Algorithms For Machine Learning Designed For Parallel And Distributed Environments, Seyedalireza Yektamaram

Theses and Dissertations

This thesis proposes several optimization methods that utilize parallel algorithms for large-scale machine learning problems. The overall theme is network-based machine learning algorithms; in particular, we consider two machine learning models: graphical models and neural networks. Graphical models are methods categorized under unsupervised machine learning, aiming at recovering conditional dependencies among random variables from observed samples of a multivariable distribution. Neural networks, on the other hand, are methods that learn an implicit approximation to underlying true nonlinear functions based on sample data and utilize that information to generalize to validation data. The goal of finding the best methods relies on ...


Efficient Gate System Operations For A Multi-Purpose Port Using Simulation Optimization, Ketki Kulkarni, Khiem Trong Tran, Hai Wang, Hoong Chuin Lau Dec 2017

Efficient Gate System Operations For A Multi-Purpose Port Using Simulation Optimization, Ketki Kulkarni, Khiem Trong Tran, Hai Wang, Hoong Chuin Lau

Research Collection School Of Information Systems

Port capacity is determined by three major infrastructural resources namely, berths, yards and gates. Theadvertised capacity is constrained by the least of the capacities of the three resources. While a lot ofattention has been paid to optimizing berth and yard capacities, not much attention has been given toanalyzing the gate capacity. The gates are a key node between the land-side and sea-side operations in anocean-to-cities value chain. The gate system under consideration, located at an important port in an Asiancity, is a multi-class parallel queuing system with non-homogeneous Poisson arrivals. It is hard to obtaina closed form analytic approach for ...


Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias Sep 2017

Loading Time Flexibility In Cross-Docking Systems, Dincer Konur, Mihalis M. Golias

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this study, we investigate truck-to-door assignment problem for loading outgoing trucks in a cross-docking system with flexible handling times. Specifically, a truck's loading time depends on the number of workers assigned to the outbound door, where the truck is being loaded. An optimization problem is formulated to jointly determine the number of workers and the trucks to be loaded at each door. The resulting problem is a nonlinear integer programming model. Due to the complexity of this model, two evolutionary heuristic methods are proposed for solution. First heuristic method is based on truck assignments while the second heuristic ...


Flight Risk Management And Crew Reserve Optimization, Ying Zhang Aug 2017

Flight Risk Management And Crew Reserve Optimization, Ying Zhang

Doctoral Dissertations

There are two key concerns in the development process of aviation. One is safety, and the other is cost. An airline running with high safety and low cost must be the most competitive one in the market. This work investigates two research efforts respectively relevant to these two concerns.

When building support of a real time Flight Risk Assessment and Mitigation System (FRAMS), a sequential multi-stage approach is developed. The whole risk management process is considered in order to improve the safety of each flight by integrating AHP and FTA technique to describe the framework of all levels of risks ...


An Optimization Model For Operating Room Scheduling To Reduce Blocking Across The Perioperative Process, Amin Abedini, Wei Li, Honghan Ye Jul 2017

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 ...


Optimizing The B.O.B., Valerie N. Washington, Douglas Starzec Apr 2017

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

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 ...


On Proportionate And Truthful International Alliance Contributions: An Analysis Of Incentive Compatible Cost Sharing Mechanisms To Burden Sharing, William N. Caballero Mar 2017

On Proportionate And Truthful International Alliance Contributions: An Analysis Of Incentive Compatible Cost Sharing Mechanisms To Burden Sharing, William N. Caballero

Theses and Dissertations

Burden sharing within an international alliance is a contentious topic, especially in the current geopolitical environment, that in practice is generally imposed by a central authority's perception of its members' abilities to contribute. Instead, we propose a cost sharing mechanism such that burden shares are allocated to nations based on their honest declarations of the alliance's worth. Specifically, we develop a set of multiobjective nonlinear optimization problem formulations that respectively impose Bayesian Incentive Compatible (BIC), Strategyproof (SP), and Group Strategyproof (GSP) mechanisms based on probabilistic inspection efforts and deception penalties that are budget balanced and in the core ...


Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen Feb 2017

Quantized Consensus Admm For Multi-Agent Distributed Optimization, Shengyu Zhu, Mingyi Hong, Biao Chen

Mingyi Hong

Abstract: This paper considers multi-agent distributed optimization with quantized communication which is needed when inter-agent communications are subject to finite capacity and other practical constraints. To minimize the global objective formed by a sum of local convex functions, we develop a quantized distributed algorithm based on the alternating direction method of multipliers (ADMM). Under certain convexity assumptions, it is shown that the proposed algorithm converges to a consensus within log1+η Ω iterations, where η > 0 depends on the network topology and the local objectives, and O is a polynomial fraction depending on the quantization resolution, the distance between initial ...


Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn Feb 2017

Convergence Analysis Of Alternating Direction Method Of Multipliers For A Family Of Nonconvex Problems, Mingyi Hong, Zhi-Quan Luo, Mesiam Razaviyayn

Mingyi Hong

The alternating direction method of multipliers (ADMM) is widely used to solve large-scale linearly constrained optimization problems, convex or nonconvex, in many engineering fields. However there is a general lack of theoretical understanding of the algorithm when the objective function is nonconvex. In this paper we analyze the convergence of the ADMM for solving certain nonconvex consensus and sharing problems. We show that the classical ADMM converges to the set of stationary solutions, provided that the penalty parameter in the augmented Lagrangian is chosen to be sufficiently large. For the sharing problems, we show that the ADMM is convergent regardless ...


Dynamic Repositioning To Reduce Lost Demand In Bike Sharing Systems, Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet Feb 2017

Dynamic Repositioning To Reduce Lost Demand In Bike Sharing Systems, Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet

Research Collection School Of Information Systems

Bike Sharing Systems (BSSs) are widely adopted in major cities of the world due to concerns associated with extensive private vehicle usage, namely, increased carbon emissions, traffic congestion and usage of nonrenewable resources. In a BSS, base stations are strategically placed throughout a city and each station is stocked with a pre-determined number of bikes at the beginning of the day. Customers hire the bikes from one station and return them at another station. Due to unpredictable movements of customers hiring bikes, there is either congestion (more than required) or starvation (fewer than required) of bikes at base stations. Existing ...


Stochastic Optimization For Multi-Agent Statistical Learning And Control, Alec Koppel Jan 2017

Stochastic Optimization For Multi-Agent Statistical Learning And Control, Alec Koppel

Publicly Accessible Penn Dissertations

The goal of this thesis is to develop a mathematical framework for optimal, accurate, and affordable complexity statistical learning among networks of autonomous agents. We begin by noting the connection between statistical inference and stochastic programming, and consider extensions of this setup to settings in which a network of agents each observes a local data stream and would like to make decisions that are good with respect to information aggregated across the entire network. There is an open-ended degree of freedom in this problem formulation, however: the selection of the estimator function class which defines the feasible set of the ...


From Green Buildings To Green Supply Chains: An Integrated Input Output Life Cycle Assessment And Optimization Framework For Carbon Footprint Reduction Policy Making, N. Muhammad Aslaam, Gokhan Egilmez, Murat Kucukvar, M.Khurrum S. Butta Jan 2017

From Green Buildings To Green Supply Chains: An Integrated Input Output Life Cycle Assessment And Optimization Framework For Carbon Footprint Reduction Policy Making, N. Muhammad Aslaam, Gokhan Egilmez, Murat Kucukvar, M.Khurrum S. Butta

Mechanical and Industrial Engineering Faculty Publications

Purpose: This paper focuses on tracing GHG emissions across the supply chain industries associated with the U.S. residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.

Design/Methodology/Approach: A two-step hierarchical approach is developed. Firstly, Economic Input Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the U.S. residential, commercial and industrial building stock. Secondly, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (%) for each industry across the supply chain network of the U.S ...


Renewable Energy Systems Optimization Using Monte Carlo Simulation And Evolutionary Algorithms, Nicolas Lopez Jan 2017

Renewable Energy Systems Optimization Using Monte Carlo Simulation And Evolutionary Algorithms, Nicolas Lopez

Open Access Theses & Dissertations

This Dissertation explores the Renewable Energy Integration Problem, and proposes a Genetic Algorithm embedded with a Monte Carlo simulation to solve large instances of the problem that are impractical to solve via full enumeration. The Renewable Energy Integration Problem is defined as finding the optimum set of components to supply the electric demand to a hybrid

microgrid. The components considered are solar panels, wind turbines, diesel generators, electric batteries, connections to the power grid and converters, which can be inverters and/or rectifiers. The methodology developed is explained as well as the combinatorial formulation. In addition, 2 case studies of ...


Modeling Requirements To Value Formulation In The Design Of Large-Scale Complex Engineered Systems: A Satellite System Case Study, Suresh Murugaiyan Jan 2017

Modeling Requirements To Value Formulation In The Design Of Large-Scale Complex Engineered Systems: A Satellite System Case Study, Suresh Murugaiyan

Graduate Theses and Dissertations

Large-scale complex engineered systems (LSCES) are naturally a part of different areas of aerospace engineering and are typically characterized by high cost, high risk and complex interactions at different levels. The design of such LSCES involves multiple organizations at different geographical locations with large number of individuals working at various levels of organizational hierarchy. System engineering processes, which is a traditional approach used in the design of such LSCES, uses requirements as a means of communicating the preferences of stakeholder. The use of requirements does not directly communicate the actual preference of the stakeholder and is actually an indirect way ...