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

The Business Case For Industrial Safety: Revealing The Comprehensive Value Of Ergonomic Investments For Manufacturing Enterprises In Industry 4.0, Shane Stan Oct 2019

The Business Case For Industrial Safety: Revealing The Comprehensive Value Of Ergonomic Investments For Manufacturing Enterprises In Industry 4.0, Shane Stan

Honors Theses, University of Nebraska-Lincoln

How can today’s manufacturing enterprises construct, implement, and optimize modern safety initiatives in a manner that will present maximum return on investment and facilitate enterprise growth? Furthermore, how can these manufacturers assure individual ergonomic investments become part of a larger strategy to facilitate organizational change in safety? This work addresses these questions by placing industrial ergonomics in a business improvement context which comprehensively presents the financial returns and growth opportunities poised by modern safety initiatives. Additionally, to further strengthen the business case for industrial safety, an ergonomic action planning framework is established to guide the creation of holistic safety ...


The Impact Of Executing A Warehouse Management System Change: A Case Study, Nicholas J. Cross Oct 2019

The Impact Of Executing A Warehouse Management System Change: A Case Study, Nicholas J. Cross

Masters Theses & Specialist Projects

The increased demand on distribution centers to provide quicker turnarounds from receiving to shipping while maintaining precise inventory accuracies is spurring the acquisition of a warehouse management system (WMS) to improve operations and increase efficiency. With the rapid expansion of WMS technology, it seems inevitable that warehouses will outgrow inefficient operational processes and switch to a system that can accommodate rapid development. Research has explained the financial burdens and benefits of acquiring a WMS, but there’s been minimal research describing the impacts of the actual implementation. This study took place within a 600,000 sq. ft. fulfillment center and ...


Backhaul Profit Maximization Problem Instances, Yuanyuan Dong, Yulan Bai, Eli V. Olinick, Andrew Junfang Yu Aug 2019

Backhaul Profit Maximization Problem Instances, Yuanyuan Dong, Yulan Bai, Eli V. Olinick, Andrew Junfang Yu

Engineering Management, Information, and Systems Research

This archive contains data for the problem instances described in the technical report "An Empirical Study of Mixed Integer Programming Formulations of the Backhaul Profit Maximization Problem" by Yulan Bai and Eli V. Olinick.


An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick Aug 2019

An Empirical Study Of Mixed Integer Programming Formulations Of The Backhaul Profit Maximization Problem, Yulan Bai, Eli V. Olinick

Engineering Management, Information, and Systems Research

Solving an instance of the Backhaul Profit Maximization Problem (BPMP) requires simultaneously solving two problems: (1) determining how to route an empty delivery vehicle back from its current location to its depot by a scheduled arrival time, and (2) selecting a profit-maximizing subset of delivery requests between various locations on the route subject to the vehicle's capacity. We propose and test a series of enhancements to the node-arc and triples mixed integer programming formulations of BPMP found in the literature and develop a multi-criteria Composite Index Method (CIM) to evaluate the results. We find that CPLEX takes 5 to ...


Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan Aug 2019

Design Thinking: An Approach With Various Perceptions, Sanne Bouwman, Jesper Voorendt, Boris Eisenbart, Seda Mckilligan

Industrial Design Conference Presentations, Posters and Proceedings

Design Thinking has become increasingly popular across different disciplines. However, what it exactly entails is becoming more and more vague, leading to the term being used for many different approaches and applications. This paper presents an interview study with experts on the application and training of Design Thinking in academia and industry. We find a divide with some seeing Design Thinking as a mere toolbox of methods, while others see it as an umbrella term for the mindset that determines how designers think and act. Subjects unanimously attest the approach large potential to support certain types of businesses, when applied ...


Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht Apr 2019

An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht

Senior Honors Theses

In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization problems. This paper explains and analyzes a new approach to the Drone Traveling Salesman Problem (DTSP) based on ant colony optimization (ACO).

The ACO-based approach has an acceptance policy that maximizes the usage of the drone. The results reveal that the pheromone causes the algorithm to converge quickly to the best solution. The algorithm performs comparably to the MIP model, CP ...


Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav Apr 2019

Applications Of Optimization Modeling In Multi-Disciplinary Engineering Research, Anton F. Astner, Ekramul Haque Ehite, Yang Li, Colin Sasthav

Biosystems Engineering and Soil Science Publications and Other Works

Optimization modeling is the process of selection of the best solution to a design problem using predetermined constraints from a set of prospective solutions. Increased computing power has made optimization solvers readily available for business/research needs. For example, Microsoft Excel has a simple, but robust solver. Such solvers can model linear, nonlinear, and integer programming problems that are limited in size. This study shows the use of the optimization model solvers in various research contexts.


Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda Mckilligan, Colleen M. Seifert Apr 2019

Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda Mckilligan, Colleen M. Seifert

Industrial Design Publications

Background: Problem exploration includes identifying, framing, and defining design problems and bounding problem spaces. Intentional and unintentional changes in problem understanding naturally occur as designers explore design problems to create solutions. Through problem exploration, new perspectives on the problem can emerge along with new and diverse ideas for solutions. By considering multiple problem perspectives varying in scope and focus, designers position themselves to increase their understandings of the “real” problem and engage in more diverse idea generation processes leading to an increasing variety of potential solutions.

Purpose/Hypothesis: The purpose of this study was to investigate systematic patterns in problem ...


Technological Cooperation Network In Biotechnology Analysis Of Patents With Brazil As The Priority Country, Cristiano Goncalves Pereira, Rodrigo Ribeiro Da Silva, Joao Ricardo Lavoie, Geciane Silveira Porto Jan 2019

Technological Cooperation Network In Biotechnology Analysis Of Patents With Brazil As The Priority Country, Cristiano Goncalves Pereira, Rodrigo Ribeiro Da Silva, Joao Ricardo Lavoie, Geciane Silveira Porto

Engineering and Technology Management Faculty Publications and Presentations

Purpose – The establishment of partnerships between companies, government and universities aims to enhance innovation and the technological development of institutions. The biotechnology sector has grown in recent years mainly driven by its cooperative business model. Compared to other countries, this sector is slowly advancing in Brazil, with delays in science, technology and innovation, especially in the private sector. This paper aims to examine, through social network analysis, the collaborative networks between institutions that filed patents in biotechnology – medicinal preparations from plants – whose inventions had Brazil as the priority country. Design/methodology/approach – The study of technological cooperation using patent documents ...


Optimizing Ensemble Weights For Machine Learning Models: A Case Study For Housing Price Prediction, Mohsen Shahhosseini, Guiping Hu, Hieu Pham Jan 2019

Optimizing Ensemble Weights For Machine Learning Models: A Case Study For Housing Price Prediction, Mohsen Shahhosseini, Guiping Hu, Hieu Pham

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Designing ensemble learners has been recognized as one of the significant trends in the field of data knowledge especially in data science competitions. Building models that are able to outperform all individual models in terms of bias, which is the error due to the difference in the average model predictions and actual values, and variance, which is the variability of model predictions, has been the main goal of the studies in this area. An optimization model has been proposed in this paper to design ensembles that try to minimize bias and variance of predictions. Focusing on service sciences, two well-known ...


A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. Mackenzie, Chao Hu Jan 2019

A Multi-Stage Optimization Model For Flexibility In Engineering Design, Ramin Giahi, Cameron A. Mackenzie, Chao Hu

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Engineered systems often operate in uncertain environments. Understanding different environments under which a system will operate is important in engineering design. Thus, there is a need to design systems with the capability to respond to future changes. This research explores designing a hybrid renewable energy system while taking into account long-range uncertainties of 20 years. The objective is to minimize the expected cost of the hybrid renewable energy system over the next 20 years. A design solution may be flexible, which means that the design can be adapted or modified to meet different scenarios in the future. The value of ...


Vaccine Distribution Strategies Against Polio: An Analysis Of Turkey Scenario, Elif Elçin Günay, Kijung Park, Sena Aydoğan, Gül E. Okudan Kremer Jan 2019

Vaccine Distribution Strategies Against Polio: An Analysis Of Turkey Scenario, Elif Elçin Günay, Kijung Park, Sena Aydoğan, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

As a result of the ongoing Syrian civil war, almost 3 million refugees moved to Turkey since 2011 because of security reasons. However, the government operated refugee camps have been largely inadequate to accommodate this huge number of refugees. Therefore, almost 91% of the Syrian refugees live out of government-operated camps. According to a Turkish Disaster and Emergency Management Agency (AFAD) report, 45.4% of the children under 5 years old who live out of camps are not vaccinated against polio. This presents a serious health threat to the local population and the whole region. In order to deal with ...


Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer Jan 2019

Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

As a result of civil war in Syria and Turkey’s open-door policy, almost 3 million refugees moved to Turkey since March 2011. The unexpected arrival of a large number of refugees within a relatively short period of time caused inadequate planning of the government-operated camps to fulfill the humanitarian needs of those affected individuals. The purpose of this study is to develop an optimization model that helps in the distribution of humanitarian aid to the refugees. The multi-objective optimization model decides on the facility locations by integrating total transportation distance minimization and covered demand maximization. Uncertainties in the supply ...


Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong Dec 2018

Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong

Civil, Construction and Environmental Engineering Publications

Traffic managers strive to have the most accurate information on road conditions, normally by using sensors and cameras, to act effectively in response to incidents. The prevalence of crowdsourced traffic information that has become available to traffic managers brings hope and yet raises important questions about the proper strategy for allocating resources to monitoring methods. Although many researchers have indicated the potential value in crowdsourced data, it is crucial to quantitatively explore its validity and coverage as a new source of data. This research studied crowdsourced data from a smartphone navigation application called Waze to identify the characteristics of this ...


Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey Nov 2018

Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey

Student Research

Over the last few years, the state of Oklahoma has been looking at ways to reduce expenses to address concerns about a budget deficit. There have been efforts made to reduce expenses due to the use of energy. It has been said, when the lights are on, work is getting done. Running lights is therefore the cost of doing business. Our research examines the question, “is there a way to provide better lighting while operating at a lower cost.” This research examines the current lighting at Southwestern State University, primarily fluorescent lighting (FL), and a cost benefit analysis of switching ...


Statistical Reliability Of Wind Power Scenarios And Stochastic Unit Commitment Cost, Didem Sari, Sarah M. Ryan Nov 2018

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

Industrial and Manufacturing Systems Engineering Publications

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 cost of implemented solutions, 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. The statistical reliability of wind power scenario sets can be assessed by approaches extended from ensemble forecast verification. We examine the ...


A Mathematical Framework On Machine Learning: Theory And Application, Bin Shi Nov 2018

A Mathematical Framework On Machine Learning: Theory And Application, Bin Shi

FIU Electronic Theses and Dissertations

The dissertation addresses the research topics of machine learning outlined below. We developed the theory about traditional first-order algorithms from convex opti- mization and provide new insights in nonconvex objective functions from machine learning. Based on the theory analysis, we designed and developed new algorithms to overcome the difficulty of nonconvex objective and to accelerate the speed to obtain the desired result. In this thesis, we answer the two questions: (1) How to design a step size for gradient descent with random initialization? (2) Can we accelerate the current convex optimization algorithms and improve them into nonconvex objective? For application ...


Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan Oct 2018

Conditions Under Which Adjustability Lowers The Cost Of A Robust Linear Program, Ali Haddad-Sisakht, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

The adjustable robust counterpart (ARC) of an uncertain linear program extends the robust counterpart (RC) by allowing some decision variables to adjust to the realizations of some uncertain parameters. The ARC may produce a less conservative and costly solution than the RC does but cases are known in which it does not. While the literature documents some examples of cost savings provided by adjustability (particularly affine adjustability), it is not straightforward to determine in advance whether they will materialize. The affine adjustable robust counterpart, while having a tractable structure, still may be much larger than the original problem. We establish ...


Strategies To Redefine The Problem Exploration Space For Design Innovation, Seda Mckilligan, Samantha L. Creeger Sep 2018

Strategies To Redefine The Problem Exploration Space For Design Innovation, Seda Mckilligan, Samantha L. Creeger

Industrial Design Conference Presentations, Posters and Proceedings

Designers are used to solving problems that are given to them, leading them to focus on creating feasible solutions rather than exploring novel perspectives on the presented problems. Creative innovations in problem understanding may lead directly to more innovation solutions. Although problem exploration has been identified as a key process in design thinking, how designers restructure and reframe the problem is not fully examined. The present work aimed to understand how designers intentionally explore variants of problems on the way to solutions. Through an empirical study industrial design students, we documented a high degree of variation in the problem perspectives ...


Feedback Design Considerations For Intelligent Team Tutoring Systems, Jamiahus Walton, Alec Ostrander, Kaitlyn M. Ouverson, Stephen B. Gilbert, Michael C. Dorneich, Eliot H. Winer, Anne Sinatra Sep 2018

Feedback Design Considerations For Intelligent Team Tutoring Systems, Jamiahus Walton, Alec Ostrander, Kaitlyn M. Ouverson, Stephen B. Gilbert, Michael C. Dorneich, Eliot H. Winer, Anne Sinatra

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Challenges arise when developing a computer-based Intelligent Team Tutoring System (ITTS) that attempts to deliver feedback to teams as effectively as a human tutor. The purpose of this current work is to outline elements of feedback that should be considered when designing feedback for an ITTS. The authors present the results of a study that consisted of 32 participants grouped into 16 teams of two. Each team conducted a surveillance task where they received individual or team feedback. Feedback content was written using either the bald (direct feedback; no need for interpretation) or off-record (general feedback; interpretation needed) etiquette strategy ...


Developing An Optimized Ui For Traffic Incident Managers, Andrina Helgerson, Jamiahus Walton, Celia Loya, Christopher Kawell, Katherine Atwell, Quinn Monaghan, Lakshay Ahuja, Hesham Galal Hassan, Stephen B. Gilbert, Anuj Sharma Sep 2018

Developing An Optimized Ui For Traffic Incident Managers, Andrina Helgerson, Jamiahus Walton, Celia Loya, Christopher Kawell, Katherine Atwell, Quinn Monaghan, Lakshay Ahuja, Hesham Galal Hassan, Stephen B. Gilbert, Anuj Sharma

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Traffic Incident Managers (TIMs) coordinate first responders and help resolve traffic-related incidents. Currently, some use over fifteen different software applications with unique functionalities across three monitors to manage incidents, leading to redundant data entry, unnecessary task switching, and delayed responses. 40 hours of TIMs’ screens were recorded during their normal work hours at the Iowa Department of Transportation (DoT). The resulting task analysis from these videos greatly influenced the design of a simplified, web-based, user interface (UI) prototype. The new UI offers a 42.9% reduction in the steps required to manage an incident by combining the functionality of the ...


An Analysis Of Video Games Using The Dimensions Of Human-Agent Interaction, Güliz Tokadli, Kaitlyn M. Ouverson, Chase Meusel, Austin Garcia, Stephen B. Gilbert, Michael C. Dorneich Sep 2018

An Analysis Of Video Games Using The Dimensions Of Human-Agent Interaction, Güliz Tokadli, Kaitlyn M. Ouverson, Chase Meusel, Austin Garcia, Stephen B. Gilbert, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Designers of human-agent interaction techniques may benefit from an analysis of existing video games that include aspects of human-agent teaming. Many popular multi-player video games have been designed to integrate multiple human and computer agents in pursuit of a common objective and can serve as a testbed to explore novel interaction methods in human-agent teams. A guiding framework of human-agent interaction was created to bridge best practices between video game and real-world domains. The framework was used to analyze games on five main dimensions: 1) Levels of Automation, 2) Levels of Interaction, 3) Control Mode, 4) Teaming, and 5) Interaction ...


The Impact Of Scientific Management Principles On Food Hub, Richard T. Stone, Colten Fales, Dean Jose, Thomas M. Schnieders, Caroline Krejci, Zhonglun Wang, Drew Schweiger, Christopher Hernandez Sep 2018

The Impact Of Scientific Management Principles On Food Hub, Richard T. Stone, Colten Fales, Dean Jose, Thomas M. Schnieders, Caroline Krejci, Zhonglun Wang, Drew Schweiger, Christopher Hernandez

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Food hubs have seen substantial growth in the past few decades but the overall operational efficiency and effectiveness is a concern for the managers of these facilities. The experiment designed consisted of 60 participants divided into four treatment groups that simulated tasks completed at food hubs. The experiment designed was a 2x2 factorial design and each treatment group had five teams with three members. The treatment groups had all combinations of the two independent variables ‘training’ and ‘process improvement’ and the impact these factors made on time to pack (TP), time to stack (TS), number of errors while stacking (ES ...


Vastus And Patellar Protection With Range Of Motion Pad – Advanced Personal Protective Equipment For The Lower Body, Richard T. Stone, Brandon Moeller, Thomas M. Schnieders, Ahmad Mumani Sep 2018

Vastus And Patellar Protection With Range Of Motion Pad – Advanced Personal Protective Equipment For The Lower Body, Richard T. Stone, Brandon Moeller, Thomas M. Schnieders, Ahmad Mumani

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The standard knee pad is considered the most ineffective personal protective equipment in the American football player’s uniform. This study quantitatively and qualitatively assesses personal protective equipment for the lower body for U.S. football players against the VAPPR Pad (Vastus And Patellar Protection with Range of motion), the next iteration of lower body protection. The study consisted of player surveys, material drop testing, and Performance Drill testing including broad-jump, L-drill, pro-agility, and gait analysis with 138 participants in the initial survey and 25 men in the physical testing. Results of the Performance Drill Testing proved that unpadded players ...


Ergonomic Analysis Of Modern Day Kitchen Knives, Richard T. Stone, Olivia Janusz, Thomas M. Schnieders Sep 2018

Ergonomic Analysis Of Modern Day Kitchen Knives, Richard T. Stone, Olivia Janusz, Thomas M. Schnieders

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The focus of this study was on how different knife characteristics affect the consumer’s ability to slice vegetables. The aim of this study was to investigate if there is a difference in cutting between a chef knife and a santoku knife, a ceramic knife and a stainless-steel knife, and a sharp and dull knife in terms of muscle activation, body part discomfort, time, and slice performance. The results show for the consumer that knife characteristics do not affect the user’s performance.


Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone Sep 2018

Ranking Importance Of Exoskeleton Design Aspects, Thomas M. Schnieders, Richard T. Stone

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The objective of this research project was to determine what a conglomerate of professionals consider as the most important metrics to consider when designing an exoskeleton for training. Over 400 researchers, engineers, and scientists were polled in a ranked order survey covering more than 50 different aspects in engineering design. These aspects were identified from a cogent literature review for consideration. While there are a slew of papers covering the results of exoskeleton designs as posture support mechanisms, rehabilitation mechanisms, tools to assist or replace body functions, and human performance augmentation, few cover what aspects were considered in the engineering ...


Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand Aug 2018

Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Increasing pushes toward next-generation/smart manufacturing motivate the development of economic model predictive control (EMPC) designs which can be practically deployed. For EMPC, the constraints, objective function, and accuracy of the state predictions would benefit from process models that describe the process physics. However, obtaining first- principles models of chemical process systems can be time-consuming or challenging such that it is preferable to develop physics-based process models automatically from process operating data. In this work, we take initial steps in this direction by suggesting that because experiments that are used to characterize first-principles models often target specific types of data ...


Data-Based Nonlinear Model Identification In Economic Model Predictive Control, Laura Giuliani, Helen Durand Jul 2018

Data-Based Nonlinear Model Identification In Economic Model Predictive Control, Laura Giuliani, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Many chemical/petrochemical processes in industry are not completely modeled from a first-principles perspective because of the complexity of the underlying physico-chemical phenomena and the cost of obtaining more accurate, physically relevant models. System identification methods have been utilized successfully for developing empirical, though not necessarily physical, models for advanced model-based control designs such as model predictive control (MPC) for decades. However, a fairly recent development in MPC is economic model predictive control (EMPC), which is an MPC formulated with an economics-based objective function that may operate a process in a dynamic (i.e., off steady-state) fashion, in which case ...


Techno-Economic Analysis (Tea) Of Extruded Aquafeeds, Rashid Suleiman, Kurt A. Rosentrater Jul 2018

Techno-Economic Analysis (Tea) Of Extruded Aquafeeds, Rashid Suleiman, Kurt A. Rosentrater

Agricultural and Biosystems Engineering Publications

The worldwide decline and overexploitation of ocean fisheries stocks had provided an incentive for the rapid growth of aquaculture. The aquaculture industry has been recognized as the fastest-growing food production system globally, with a 10% increase in production per year and is one of the most reliable and sustainable growth markets for manufactured feeds. Extrusion technology has been extensively used in the modern aquatic feed manufacturing, due to nutritional, physical properties improvements and cost effectiveness of feeds. Cost related to aquatic feed remains the biggest challenge, especially for small-scale producers. In order to understand costs and potential breakeven points, a ...