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Articles 31 - 60 of 291

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

A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall Jan 2018

A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall

Industrial and Manufacturing Systems Engineering Publications

Since affordances provided by packaging features play a major role in facilitating user packaging interaction, it is important to integrate the concept of affordances into the packaging design process and to understand the interrelationships between packaging features and affordances. A framework is proposed for linking user requirements to packaging design features utilizing the concept of affordances. The framework is accomplished in two main steps; first, determine the affordances required to facilitate performing packaging-related tasks, and second, link these affordances to packaging features. Previous packaging usability studies were reviewed to elicit requirements in terms of affordance properties such as intuitiveness, responsiveness ...


Expansion Planning For Transmission Network Under Demand Uncertainty: A Real Options Framework, Fikri Fucuksayacigil, K. Jo Min Jan 2018

Expansion Planning For Transmission Network Under Demand Uncertainty: A Real Options Framework, Fikri Fucuksayacigil, K. Jo Min

Industrial and Manufacturing Systems Engineering Publications

In recent years, there has been much expectation that transmission expansion planning should address ever increasing demands for transmission services under significant and complex economic and regulatory uncertainties. In this article, toward meeting the aforementioned expectation, we develop and analyze a real options framework that provides the valuation of a transmission owner’s option to expand in his or her network. What distinguishes our framework from the extant literature is that the evolution of the demand follows a geometric Brownian motion process, it explicitly accounts for the physical flow of the electric power economically manifested as the locational marginal prices ...


A Tri-Level Optimization Model For Inventory Control With Uncertain Demand And Lead Time, Mohammad Rahdar, Lizhi Wang, Guiping Hu Jan 2018

A Tri-Level Optimization Model For Inventory Control With Uncertain Demand And Lead Time, Mohammad Rahdar, Lizhi Wang, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

We propose an inventory control model for an uncapacitated warehouse in a manufacturing facility under demand and lead time uncertainty. The objective is to make ordering decisions to minimize the total system cost. We introduce a two-stage tri-level optimization model with a rolling horizon to address the uncertain demand and lead time regardless of their underlying distributions. In addition, an exact algorithm is designed to solve the model. We compare this model in a case study with three decision-making strategies: optimistic, moderate, and pessimistic. Our computational results suggest that the performances of these models are either consistently inferior or highly ...


The Hurwicz Decision Rule’S Relationship To Decision Making With The Triangle And Beta Distributions And Exponential Utility, Sarat Sivaprasad, Cameron A. Mackenzie Jan 2018

The Hurwicz Decision Rule’S Relationship To Decision Making With The Triangle And Beta Distributions And Exponential Utility, Sarat Sivaprasad, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

Non-probabilistic approaches to decision making have been proposed for situations in which an individual does not have enough information to assess probabilities over an uncertainty. One non-probabilistic method is to use intervals in which an uncertainty has a minimum and maximum but nothing is assumed about the relative likelihood of any value within the interval. The Hurwicz decision rule in which a parameter trades off between pessimism and optimism generalizes the current rules for making decisions with intervals. This article analyzes the relationship between intervals based on the Hurwicz rule and traditional decision analysis using a few probability distributions and ...


Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan Jan 2018

Closed-Loop Supply Chain Network Design With Multiple Transportation Modes Under Stochastic Demand And Uncertain Carbon Tax, Ali Haddadsisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

We optimize the design of a closed-loop supply chain network that encompasses flows in both forward and reverse directions and is subject to uncertainty in demands for both new and returned products. The model also accommodates a carbon tax with tax rate uncertainty. The proposed model is a three-stage hybrid robust/stochastic program that combines probabilistic scenarios for the demands and return quantities with uncertainty sets for the carbon tax rates. The first stage decisions are facility investments, the second stage concerns the plan for distributing new and collecting returned products after realization of demands and returns, and the numbers ...


A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma Jan 2018

A Regional Information-Based Multi-Attribute And Multi-Objective Decision-Making Approach For Sustainable Supplier Selection And Order Allocation, Kijung Park, Gül E. Okudan Kremer, Junfeng Ma

Industrial and Manufacturing Systems Engineering Publications

Although extant studies proposed various models and frameworks for sustainable supplier selection problems, they paid limited attention to the incorporation of regional economic, social, and environmental factors simultaneously for global supply chain design due to the difficulty in reflecting varies dimensions of the global business environment and their associated risk in a decision model. Existing supplier selection models also tend to focus on the formulation of a simplified supply chain structure rather than considering more realistic supply chain operations under multiple sourcing and product designs. To facilitate the complex decision-making process of global supplier selection problems, this study proposes an ...


A Key Components-Based Heuristic Modular Product Design Approach To Reduce Product Assembly Cost, Junfeng Ma, Gul E. Okudan-Kremer, Mian Li Dec 2017

A Key Components-Based Heuristic Modular Product Design Approach To Reduce Product Assembly Cost, Junfeng Ma, Gul E. Okudan-Kremer, Mian Li

Industrial and Manufacturing Systems Engineering Publications

Nowadays, increasing awareness of sustainability and varied customer requirements have driven manufacturers to reconsider product development starting from the design phase. As one response to these concerns, modular product design (MPD) has attracted significant attention. Since the architecture of a product or a system can have implications on its assembly cost, MPD and product assembly should be investigated jointly. In this paper, a heuristic clustering algorithm with key components emphasis that will reduce assembly cost is offered to group components into modules. Key product/system components are those that afford competitiveness to a company. An MPD method that can decrease ...


Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei Dec 2017

Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei

Industrial and Manufacturing Systems Engineering Publications

Unit commitment seeks the most cost effective generator commitment schedule for an electric power system to meet net load, defined as the difference between the load and the output of renewable generation, while satisfying the operational constraints on transmission system and generation resources. Stochastic programming and robust optimization are the most widely studied approaches for unit commitment under net load uncertainty. We incorporate risk considerations in these approaches and investigate their comparative performance for a multi-bus power system in terms of economic efficiency as well as the risk associated with the commitment decisions. We explicitly account for risk, via Conditional ...


Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein Dec 2017

Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein

Industrial and Manufacturing Systems Engineering Publications

The Armed Robotic Control for Training in Civilian Law Enforcement, or ARCTiC LawE, is an upper-body exoskeleton designed to assist civilian, military, and law enforcement personnel in accurate, precise, and reliable handgun techniques. This exoskeleton training utilizes a laser-based handgun with similar dimensions, trigger pull, and break action to a Glock® 19 pistol, common to both public and private security sectors. The paper aims to train and test subjects with no handgun training/experience both with and without the ARCTiC LawE and compare the results of accuracy, precision, and speed. Ultimately, the exoskeleton greatly impacts sensory motor learning, and the ...


A Comprehensive End-Of-Life Strategy Decision Making Approach To Handle Uncertainty In The Product Design Stage, Junfeng Ma, Gul E. Okudan-Kremer, Charles David Ray Nov 2017

A Comprehensive End-Of-Life Strategy Decision Making Approach To Handle Uncertainty In The Product Design Stage, Junfeng Ma, Gul E. Okudan-Kremer, Charles David Ray

Industrial and Manufacturing Systems Engineering Publications

This study employs fuzzy logic to evaluate uncertain component end-of-life (EOL) options in the design stage. Determining EOL strategies during the product design stage can be complex. For example, EOL strategies for retired bicycle components are various and may change with geographic location. Thus, adopting fixed EOL strategies in the product design stage may not always be appropriate; the element of uncertainty should be considered. Limited research has examined uncertainty of EOL strategies during the design stage. Moreover, the evaluation of EOL strategies in a comprehensive manner has not been shown in a realistic case study. These facts motivate this ...


Development Of Design Requirements For A Cognitive Assistant In Space Missions Beyond Low Earth Orbit, Güliz Tokadl, Michael C. Dorneich Oct 2017

Development Of Design Requirements For A Cognitive Assistant In Space Missions Beyond Low Earth Orbit, Güliz Tokadl, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

This study describes the development of requirements for a cognitive assistant (CA) for use onboard a space vehicle/station. For missions beyond low Earth orbit (LEO), delayed communication will limit mission control’s ability to support the space crew in real time. During off-nominal situations, where no procedures have been developed prior to missions, crews must develop responses in real time and may increasingly rely on automation. A systematic approach was used to model the domain knowledge of the collaborative decision-making process of current space operations, extrapolate to missions beyond LEO, and develop the design requirements for a CA. Document ...


Human-Robot Collaborated Exploration And Wayfinding: Orientation Awareness And Its Enhancement, Richard T. Stone, Peihan Zhong, Thomas M. Schnieders Sep 2017

Human-Robot Collaborated Exploration And Wayfinding: Orientation Awareness And Its Enhancement, Richard T. Stone, Peihan Zhong, Thomas M. Schnieders

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Orientation awareness, being aware of heading direction, current location, and an object’s location relative to current location are all critical for wayfinding. Obtaining and maintaining the orientation awareness is a challenging task and even more difficult in remote wayfinding where the wayfinder cannot physically be in the environment. This study designed an interface to enhance the orientation awareness under a remote wayfinding condition by providing a route map showing the previous path taken by the operator and evaluated its effectiveness. Sixteen participants were tested in this study with eight people in each group. The experimental group received the interface ...


Interaction Of Automation Visibility And Information Quality In Flight Deck Information Automation View Document, Michael C. Dorneich, Rachel Dudley, Emmanuel Letsu-Dake, William Rogers, Stephen D. Whitlow, Michael Dillard, Erik Nelson Jul 2017

Interaction Of Automation Visibility And Information Quality In Flight Deck Information Automation View Document, Michael C. Dorneich, Rachel Dudley, Emmanuel Letsu-Dake, William Rogers, Stephen D. Whitlow, Michael Dillard, Erik Nelson

Industrial and Manufacturing Systems Engineering Publications

An empirical study evaluated key human factors issues related to automation visibility and information quality, based on a refined definition of information automation. Next-generation air transportation system operational concepts will dramatically affect the types and amount of information available on flight decks. Information automation systems collect, process, and present information to support pilot tasks and awareness. The definition of flight deck information automation was refined to differentiate it from other types of automation. Pilots interacted with an example information automation system to investigate the premise that automation visibility will have an impact on the ability of pilots to detect problems ...


Shop Floor Lot-Sizing And Scheduling With A Two-Stage Stochastic Programming Model Considering Uncertain Demand And Workforce Efficiency, Yihua Li, Guiping Hu Jul 2017

Shop Floor Lot-Sizing And Scheduling With A Two-Stage Stochastic Programming Model Considering Uncertain Demand And Workforce Efficiency, Yihua Li, Guiping Hu

Industrial and Manufacturing Systems Engineering Publications

Efficient and flexible production planning is necessary for the manufacturing industry to stay competitive in today’s global market. Shop floor lot-sizing and scheduling is one of the most challenging and rewarding subjects for the management. In this study, a two-stage stochastic programming model is proposed to solve a single-machine, multi-product shop floor lot-sizing and scheduling problem. Two sources of uncertainties are considered simultaneously: product demand from the market, and workforce efficiency, which is the major contribution of this study. The workforce efficiency affects the system productivity, and we propose different distributions to model its uncertainty with insufficient information.The ...


Sequential Exploration-Exploitation With Dynamic Trade-Off For Efficient Reliability Analysis Of Complex Engineered Systems, Mohammadkazem Sadoughi, Chao Hu, Cameron A. Mackenzie, Amin Toghi Eshghi, Soobum Lee Jul 2017

Sequential Exploration-Exploitation With Dynamic Trade-Off For Efficient Reliability Analysis Of Complex Engineered Systems, Mohammadkazem Sadoughi, Chao Hu, Cameron A. Mackenzie, Amin Toghi Eshghi, Soobum Lee

Industrial and Manufacturing Systems Engineering Publications

A new sequential sampling method, named sequential exploration-exploitation with dynamic trade-off (SEEDT), is proposed for reliability analysis of complex engineered systems involving high dimensionality and a wide range of reliability levels. The proposed SEEDT method is built based on the ideas of two previously developed sequential Kriging reliability methods, namely efficient global reliability analysis (EGRA) and maximum confidence enhancement (MCE) methods. It employs Kriging-based sequential sampling to build a surrogate model (i.e., Kriging model) that approximates the performance function of an engineered system, and performs Monte Carlo simulation on the surrogate model for reliability analysis. A new acquisition function ...


Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward Jul 2017

Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward

Agricultural and Biosystems Engineering Conference Proceedings and Presentations

Increasing demands on the world‘s resources require the design of off-highway machines that provide greater functionality and productivity along with greater efficiency. Model-based or virtual design provides a means for achieving these design improvements with reduced time and costs. However, virtual design is often limited by the fidelity with which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance agricultural and construction machine automation technology. This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic ...


Development Of Learning Modules For Sustainable Life Cycle Product Design: A Constructionist Approach, Md Tarique Hasan Khan, Kamyar Raoufi, Kijung Park, Tasnia Reza, Carolyn E. Psenka, Kathy Schmidt-Jackson, Karl R. Haapala, Gul E. Okudan-Kremer, Kyoung-Yun Kim Jun 2017

Development Of Learning Modules For Sustainable Life Cycle Product Design: A Constructionist Approach, Md Tarique Hasan Khan, Kamyar Raoufi, Kijung Park, Tasnia Reza, Carolyn E. Psenka, Kathy Schmidt-Jackson, Karl R. Haapala, Gul E. Okudan-Kremer, Kyoung-Yun Kim

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Constructionism is an approach to learning in which learners construct their own understanding and knowledge through making a meaningful product. A cyberlearning environment for sustainable life cycle engineering design has been developed based upon this approach through a multi-university research project funded by the NSF entitled “Constructionism in Learning: Sustainable Life Cycle Engineering (CooL:SLiCE).” The pedagogic significance of CooL:SLiCE is to better enable university students to learn about sustainable product life cycle engineering design by realizing effective learning modules for personalized environmentally-responsible product design. The CooL:SliCE platform has developed a web-based portal with three learning modules: 1 ...


Constructionism In Learning: Sustainable Life Cycle Engineering Project (Cool:Slice), Kyoung-Yun Kim, Carolyn E. Psenka, Karl R. Haapala, Kathy Schmidt-Jackson, Gul E. Okudan-Kremer Jun 2017

Constructionism In Learning: Sustainable Life Cycle Engineering Project (Cool:Slice), Kyoung-Yun Kim, Carolyn E. Psenka, Karl R. Haapala, Kathy Schmidt-Jackson, Gul E. Okudan-Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

CooL:SLiCE, a distributed cyberlearning environment to facilitate consideration of engineering design impacts on the natural environment across product life cycles has been developed at XXX University, XXX University, and XXX University. CooL:SLiCE supports a constructionist line of inquiry within design practice by providing learners with technologies and other learning resources for experimentation and collaboration. By scaffolding these resources, CooL:SLiCE enables students to attain a deeper conceptual understanding of sustainable lifecycle product design.

This poster will feature the elements of the CooL:SLiCE platform, pilot projects, and learning studies. The platform modules include 1) the Online Computer Aided ...


Assessing The Validity Of Facilitated-Volunteered Geographic Information: Comparisons Of Expert And Novice Ratings, Kelly Kalvelage, Michael C. Dorneich, Christopher Seeger, Gregory Welk, Stephen B. Gilbert, Jon Moon, Imad Jafir, Phyllis Brown May 2017

Assessing The Validity Of Facilitated-Volunteered Geographic Information: Comparisons Of Expert And Novice Ratings, Kelly Kalvelage, Michael C. Dorneich, Christopher Seeger, Gregory Welk, Stephen B. Gilbert, Jon Moon, Imad Jafir, Phyllis Brown

Industrial and Manufacturing Systems Engineering Publications

Facilitated-voluntary geographic information (f-VGI) is a promising method to enable systematic collection of data from residents about their physical and social environment. The method capitalizes on ubiquitous mobile smartphones to empower collection of geospatially-referenced data. It is important to evaluate the validity of user-generated content for use in research or program planning. The purpose of this study was to test whether the aggregated environmental (“bikeability”) ratings from novice community residents converges with ratings from experts using a robust research-based, paper audit-tool (the established Pedestrian Environment Data Scan (PEDS) tool). Equivalence testing statistically showed overall agreement between the composite ratings of ...


Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen Mar 2017

Evaluation Of The Display Of Cognitive State Feedback To Drive Adaptive Task Sharing, Michael C. Dorneich, Břetislav Passinger, Christopher Hamblin, Claudia Keinrath, Jiři Vašek, Stephen D. Whitlow, Martijn Beekhuyzen

Industrial and Manufacturing Systems Engineering Publications

This paper presents an adaptive system intended to address workload imbalances between pilots in future flight decks. Team performance can be maximized when task demands are balanced within crew capabilities and resources. Good communication skills enable teams to adapt to changes in workload, and include the balancing of workload between team members This work addresses human factors priorities in the aviation domain with the goal to develop concepts that balance operator workload, support future operator roles and responsibilities, and support new task requirements, while allowing operators to focus on the most safety critical tasks. A traditional closed-loop adaptive system includes ...


Detection And Estimation Of Magnetization Induced Resonances In Unilateral Nuclear Magnetic Resonance (Nmr) Sensors, Neelam G. Prabhu Gaunkar, I. Bulu, Y. Q. Song, Mani Mina, David C. Jiles Jan 2017

Detection And Estimation Of Magnetization Induced Resonances In Unilateral Nuclear Magnetic Resonance (Nmr) Sensors, Neelam G. Prabhu Gaunkar, I. Bulu, Y. Q. Song, Mani Mina, David C. Jiles

Electrical and Computer Engineering Publications

In this work a systematic identification of factors contributing to signal ringing in unilateral nuclear magnetic resonance (NMR) sensors is conducted. Resonant peaks that originate due to multiple factors such as NMR, electrical, magneto-acoustic, core material response, eddy currents and other factors were observed. The peaks caused by the measurement system or electrical resonances and induced magnet vibrations are further analyzed. They appear in every measurement and are considered as interference to signals received from the magnetic core. Forming a distinction between different peaks is essential in identifying the primary contribution to the captured resonant signal. The measurements for the ...


On The Instability And Degeneracy Of Deep Learning Models, Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman Jan 2017

On The Instability And Degeneracy Of Deep Learning Models, Andee Kaplan, Daniel J. Nordman, Stephen B. Vardeman

Statistics Preprints

A probability model exhibits instability if small changes in a data outcome result in large, and often unanticipated, changes in probability. This instability is a property of the probability model, rather than the fitted parameter vector. For correlated data structures found in several application areas, there is increasing interest in predicting/identifying such sensitivity in model probability structure. We consider the problem of quantifying instability for general probability models defined on sequences of observations, where each sequence of length N has a finite number of possible values. A sequence of probability models results, indexed by N, that accommodates data of ...


Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward Jan 2017

Virtual Operator Models For Off-Highway Machine Virtual Prototyping, Yu Du, Michael C. Dorneich, Brian L. Steward

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Increasing demands on the world’s resources require the design of off-highway machines that provide greater functionality and productivity along with greater efficiency. Model-based or virtual design provides a means for achieving these design improvements with reduced time and costs. However, virtual design is often limited by the fidelity with which human operators are modeled. A greater understanding of how highly skilled operators obtain high machine performance and productivity can inform machine development and advance agricultural and construction machine automation technology. This research investigated how machine operator expertise, strategies, and decision-making can be integrated into operator models that simulate authentic ...


Risk-Averse Stochastic Integer Programs For Mixed-Model Assembly Line Sequencing Problems, Ge Guo, Sarah M. Ryan Jan 2017

Risk-Averse Stochastic Integer Programs For Mixed-Model Assembly Line Sequencing Problems, Ge Guo, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

A variety of optimization formulations have been proposed for mixed-model assembly sequencing problems with stochastic demand and task times. In the real world, however, mixed-model assembly lines are faced with more challenging uncertainties including timely part delivery, material quality, upstream sub-assembly completion and availability of other resources. In addition, sub-assembly lines must meet deadlines imposed by downstream stations. The inevitable disruptions require resequencing. We present a risk-averse stochastic mixed-integer model for mixed-model assembly line resequencing problems to increase on-time performance.


Enabling Non-Expert Sustainable Manufacturing Process And Supply Chain Analysis During The Early Product Design Phase, Kamyar Raoufi, Karl R. Haapala, Kathy L. Jackson, Kyoung-Yun Kim, Gul E. Okudan-Kremer, Carolyn E. Psenka Jan 2017

Enabling Non-Expert Sustainable Manufacturing Process And Supply Chain Analysis During The Early Product Design Phase, Kamyar Raoufi, Karl R. Haapala, Kathy L. Jackson, Kyoung-Yun Kim, Gul E. Okudan-Kremer, Carolyn E. Psenka

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Consumers are pressuring companies to produce products with superior sustainability performance, yet educators are disadvantaged in training students about sustainable engineering and many engineers are often not well-positioned to perform product sustainability assessments. In particular, quantifying environmental impacts is a key aspect of achieving improved product sustainability performance that has garnered much attention over the past two decades, but tools remain deficient to assist manufacturing decision making. In light of efforts undertaken to develop sustainability assessment methodologies, we review recent developments in quantifying a widely adopted environmental performance metric, carbon footprint, in manufacturing processes and supply chain networks. We also ...


Improving The Efficiency Of Large Manufacturing Assembly Plants, David P. Sly, Michael Helwig, Guiping Hu Jan 2017

Improving The Efficiency Of Large Manufacturing Assembly Plants, David P. Sly, Michael Helwig, Guiping Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Large manufacturing assembly plants with sub assembly lines, sequenced material deliveries, and batch driven primary manufacturing operations often struggle with coordinating their sequenced part manufacturing and kitting operations with the dynamic constraints of the main final assembly line. This paper will outline the high level data model, workflow and use-case scenarios of how the Factboard system integrates into the factory's engineering and transactional data sources as well as how users have been able to use this more accurate, detailed and timely information to make better decisions.


Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan Jan 2017

Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Technical Reports and White Papers

Probabilistic wind power scenarios constitute a crucial input for stochastic day-ahead unit commitment in power systems with deep penetration of wind generation. To minimize the expected cost, the scenario time series of wind power amounts available should accurately represent the stochastic process for available wind power as it is estimated on the day ahead. The high computational demands of stochastic programming motivate a search for ways to evaluate scenarios without extensively simulating the stochastic unit commitment procedure. Reliability of wind power scenario sets can be assessed by statistical verification approaches. In this study, we examine the relationship between the statistical ...


Systematic Design For Trait Introgression Projects, John N. Cameron, Ye Han, Lizhi Wang, William D. Beavis Jan 2017

Systematic Design For Trait Introgression Projects, John N. Cameron, Ye Han, Lizhi Wang, William D. Beavis

Industrial and Manufacturing Systems Engineering Publications

We demonstrate an innovative approach for designing Trait Introgression (TI) projects based on optimization principles from Operations Research. If the designs of TI projects are based on clear and measurable objectives, they can be translated into mathematical models with decision variables and constraints that can be translated into Pareto optimality plots associated with any arbitrary selection strategy. The Pareto plots can be used to make rational decisions concerning the trade-offs between maximizing the probability of success while minimizing costs and time. The systematic rigor associated with a cost, time and probability of success (CTP) framework is well suited to designing ...


Development Of A Digital Standard To Specify Surface Requirements Of Cast Metal Surfaces, Michelle M. Voelker, Frank Peters Jan 2017

Development Of A Digital Standard To Specify Surface Requirements Of Cast Metal Surfaces, Michelle M. Voelker, Frank Peters

Industrial and Manufacturing Systems Engineering Publications

Communication of specifications between a customer and a manufacturer is important for meeting form, fit, and functional requirements of any part. Current standards for the requirements of cast metal surfaces use qualitative methods, including comparator plates and images of surfaces, to specify the surface quality allowing ample room for variation in interpretation of the standard. The length scale of existing contact surface measurements is too small for most casting surfaces. This paper covered a proposed digital standard for specifying cast metal surfaces. The proposed digital standard used point cloud data of a cast surface, likely attained using a non-contact capture ...


The Watermelon Algorithm For The Bilevel Integer Linear Programming Problem, Lizhi Wang, Pan Xu Jan 2017

The Watermelon Algorithm For The Bilevel Integer Linear Programming Problem, Lizhi Wang, Pan Xu

Industrial and Manufacturing Systems Engineering Publications

This paper presents an exact algorithm for the bilevel integer linear programming (BILP) problem. The proposed algorithm, which we call the watermelon algorithm, uses a multiway disjunction cut to remove bilevel infeasible solutions from the search space, which was motivated by how watermelon seeds can be carved out by a scoop. Serving as the scoop, a polyhedron is designed to enclose as many bilevel infeasible solutions as possible, and then the complement of this polyhedron is applied to the search space as a multiway disjunction cut in a branch-and-bound framework. We have proved that the watermelon algorithm is able to ...