Industrial Engineering Commons^™

Using Advanced Driving Simulation And Vibrotactile Cues To Train Drivers To Interact With Next-Generation Autonomous Vehicles, Gaojian Huang

Link Foundation Modeling, Simulation and Training Fellowship Reports

There are six levels of vehicle automation, from Level 0 – no automation to Level 5, fully autonomous [1]. According to several projections, the majority of vehicles on the road will be at intermediate levels for the next several years, meaning that vehicle-to-human takeover will be required in cases where the systems can no longer function due to design limitations, such as under poor weather conditions or in a construction zone [2], [3]. As shown in Fig. 1, the takeover process consists of signal response and post-takeover phases, which involves multiple steps, including perceiving the takeover requests (TOR), moving hands …

Resilience-Driven Post-Disruption Restoration Of Interdependent Critical Infrastructure Systems Under Uncertainty: Modeling, Risk-Averse Optimization, And Solution Approaches, Basem A. Alkhaleel

Graduate Theses and Dissertations

Critical infrastructure networks (CINs) are the backbone of modern societies, which depend on their continuous and proper functioning. Such infrastructure networks are subjected to different types of inevitable disruptive events which could affect their performance unpredictably and have direct socioeconomic consequences. Therefore, planning for disruptions to CINs has recently shifted from emphasizing pre-disruption phases of prevention and protection to post-disruption studies investigating the ability of critical infrastructures (CIs) to withstand disruptions and recover timely from them. However, post-disruption restoration planning often faces uncertainties associated with the required repair tasks and the accessibility of the underlying transportation network. Such challenges are …

A Machine Learning Approach To Understanding Emerging Markets, Namita Balani

Graduate Theses and Dissertations

Logistic providers have learned to efficiently serve their existing customer bases with optimized routes and transportation resource allocation. The problem arises when there is potential for logistics growth in an emerging market with no previous data. The purpose of this work is to use industry data for previously known and well-documented markets to apply data analytic techniques such as machine learning to investigate the uncertainty in a new market. The thesis looks into machine learning techniques to predict miles per stop given historical data. It mainly focuses on Random Forest Regression Analysis, but concludes that additional techniques, such as Polynomial …

Enabling The “Easy Button” For Broad, Parallel Optimization Of Functions Evaluated By Simulation, Andrew Gibson

Graduate Theses and Dissertations

Java Optimization by Simulation (JOBS) is presented: an open-source, object-oriented Java library designed to enable the study, research, and use of optimization for models evaluated by simulation. JOBS includes several novel design features that make it easy for a simulation modeler, without extensive expertise in optimization or parallel computation, to define an optimization model with deterministic and/or stochastic constraints, choose one or more metaheuristics to solve it and run, using massively parallel function evaluation to reduce wall-clock times.

JOBS is supported by a new language independent, application programming interface (API) for remote simulation model evaluation and a serverless computing environment …

Knowledge Discovery From Complex Event Time Data With Covariates, Samira Karimi

Graduate Theses and Dissertations

In particular engineering applications, such as reliability engineering, complex types of data are encountered which require novel methods of statistical analysis. Handling covariates properly while managing the missing values is a challenging task. These type of issues happen frequently in reliability data analysis. Specifically, accelerated life testing (ALT) data are usually conducted by exposing test units of a product to severer-than-normal conditions to expedite the failure process. The resulting lifetime and/or censoring data are often modeled by a probability distribution along with a life-stress relationship. However, if the probability distribution and life-stress relationship selected cannot adequately describe the underlying failure …

Printing Quality Improvement For Laser-Induced Forward Transfer Bioprinting: Numerical Modeling And Experimental Validation, Jie Qu, Chaoran Dou, Ben Xu, Jianzhi Li, Zhonghao Rao, Andrew Tsin

Manufacturing & Industrial Engineering Faculty Publications

Laser-induced-forward-transfer (LIFT)-based laser assisted bioprinting (LAB) has great advantages over other three-dimensional (3D) bioprinting techniques, such as none-contact, free of clogging, high precision, and good compatibility. In a typical LIFT based LAB process, a jet flow transfers the bioink from the ribbon to the substrate due to bioink bubble generation and collapse, and the printing quality is highly dependent on the jet flow regime (stable or unstable), so it is a great challenge to understand the connection between the jet flow and the printing outcomes. To tackle this challenge, a novel computational-fluid-dynamics (CFD)-based model was developed in this study to …

Efficiently Estimating Survival Signature And Two-Terminal Reliability Of Heterogeneous Networks Through Multi-Objective Optimization, Daniel Bruno Lopes Da Silva

Graduate Theses and Dissertations

The two-terminal reliability problem is a classical reliability problem with applications in wired and wireless communication networks, electronic circuit design, computer networks, and electrical power distribution, among other systems. However, the two-terminal reliability problem is among the hardest combinatorial problems and is intractable for large, complex networks. Several exact methods to solve the two-terminal reliability problem have been proposed since the 1960s, but they have exponential time complexity in general. Hence, practical studies involving large network-type systems resort to approximation methods to estimate the system's reliability. One attractive approach for quantifying the reliability of complex systems is to use signatures, …

Quantitative Set-Based Design For Complex System Development, Nicholas J. Shallcross

Graduate Theses and Dissertations

This dissertation comprises a body of research facilitating decision-making and complex system development with quantitative set-based design (SBD). SBD is concurrent product development methodology, which develops and analyzes many design alternatives for longer time periods enabling design maturation and uncertainty reduction. SBD improves design space exploration, facilitating the identification of resilient and affordable systems. The literature contains numerous qualitative descriptions and quantitative methodologies describing limited aspects of the SBD process. However, there exist no methodologies enabling the quantitative management of SBD programs throughout the entire product development cycle. This research addresses this knowledge gap by developing the process framework and …

A State-Of-The-Art Review Of Laser-Assisted Bioprinting And Its Future Research Trends, Chaoran Dou, Victoria Perez, Jie Qu, Andrew Tsin, Ben Xu, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

Bioprinting is an additive manufacturing technology with great potential in medical applications. Among available bioprinting techniques, laser-assisted bioprinting (LAB) is a promising technique due to its high resolution, high cell viability, and the capability to deposit high-viscousity bioink. These characteristics allow the LAB technology to control cells precisely to reconstruct living organs. Recent developments of LAB technologies are reviewed in this paper, covering various designs of LAB printers, research progresses in energy-absorbing layer (EAL), the physical phenomenon that triggers the printing process in terms of bubble formation and jet development, printing process parameters, and major factors related to the post-printing …

Fasten: An Iot Platform For Supply Chain Management In A Covid-19 Pandemic Scenario, Fernando Lemos, Thays Do Nascimento, Gustavo Dalmarco

Markets, Globalization & Development Review

This paper points out the major disruptions caused by the COVID-19 pandemic. It proposes an automated Internet-of-Things (IoT) based manufacturing and supply chain system, termed FASTEN, that can deal with such severe disruptions.

Analysis And Modeling Of Strategic Interactions In Health Systems To Improve Patient Care Access, Jorge A. Acuña Melo

USF Tampa Graduate Theses and Dissertations

Affordable health care access that provides well-coordinated and high-quality services on time is a goal that governments and health organizations strive for. Regrettably, most countries deal with access problems that affect the population's health, such as long waiting lists for specialized medical services, overcrowding of emergency departments, and high health prices. In the present doctoral dissertation, I model and analyze the strategic interactions that inhabit the health system machinery to uncover possible structural problems that led to the aforementioned issues. The study involves operation research, data science, and game theory techniques to address the health care access predicament.

Each research …

Data-Informed Decision Support To Improve Pediatric And Maternal Care Quality Under Medicaid Managed Care Settings, Hasan Symum

USF Tampa Graduate Theses and Dissertations

Over the last two decades, the United States has spent almost twice as much per person in healthcare compared to most other wealthy countries. However, this higher spending has not necessarily transformed into improved quality of care; According to World Health Organization reports, the US now ranks 39th for child health and wellbeing and worst in maternal care among developed nations. In terms of proportion of preventable hospital visits, low-risk cesarean sections, and avoidable maternal morbidity/death, the U.S. is among the highest compared with the peer nations. The prevalence of these adverse outcomes in pediatric and obstetric care is particularly …

Agile And Lean Six Sigma Integration: A Leadership Framework, Alessandro Laureani

International Conference on Lean Six Sigma

Submitting final version of the paper attached.

Agile and Lean Six Sigma integration: a Leadership framework

Author: Alessandro Laureani, Independent Lean Six Sigma Scholar, Ireland

E-mail: [email protected] Phone: +353 87 914 4532

Purpose

The purpose of this paper is to illustrate how Agile methodologies and Lean Six Sigma can coexist and propose a Leadership framework to successfully merge Agile methodologies with Lean Six Sigma practice.

Design/methodology/approach

The paper builds on the author’s doctoral thesis on Leadership for Lean Six Sigma, and integrate Agile practices based on the author’s experience in the software development industry.

Findings

Agile methodologies, that came to …

Lss Implementation In Micro Enterprises: Adoption Of Tools To Support Competitiveness, Seamus O'Reilly, Dermot Freeman, Lawrence Dooley

International Conference on Lean Six Sigma

LSS Implementation in Micro Enterprises:

Adoption of tools to support competitiveness

Seamus O’Reilly^a ([email protected]), Dermot Freeman^b ([email protected])

and Lawrence Dooley^a ([email protected])

^aCork University Business School, Ireland. ^bDermot Freeman & Associates, Ireland

Purpose

This study seeks to contribute to an emerging literature addressing Lean Six Sigma (LSS) implementation in the micro enterprise context. Specifically, it explores what LSS tools address business opportunities and challenges identified by micro enterprises.

Methodology

This study adopts a purposive sampling approach. Thirty micro enterprise who had availed of a lean start programme launched by a …

Replicating Lean Six Sigma Green Belt Education, Martinus J. Buijvoets, Bob Walrave, Jukka-Matti Turtiainen, Gregory H. Watson

International Conference on Lean Six Sigma

Purpose – This paper describes the intricates and possibilities of replicating a Lean Six Sigma Green Belt (LSSGB) education model from a pilot program to other universities—employing ‘replication as strategy’—based on a validated ‘business model.’

Study design/methodology/approach – This work is grounded in a case study on the ESTIEM LSSGB educational method and draws on the replication literature. Specifically: (1) replication as strategy (Winter and Szulanski, 2001) to replicate stimulating learning environments, and (2) replicating sets of teaching practices (Baden-Fuller and Winter, 2007). These theories are practiced using data obtained from various sources: Participant-observer data, interview data, and secondary case …

Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux

International Conference on Lean Six Sigma

Abstract

Purpose- Six Sigma is based upon quality improvement by finding the root cause and refining processes to the precision of process outcomes. The purpose of this research was to conduct a systematic literature review (SLR) to explore the Six Sigma techniques and information technology (IT) management concepts to identify the IT management principle's impact on the sustainability of Six Sigma project efforts and identify the gaps that are essential to be addressed through further research. This research also discusses the principles of IT management upon the influence on Six Sigma projects, and subsequent contribution to organizational economic sustainability. An …

The Application Of Measures Of Lean Production For Services, Willem Salentijn, Jiju Antony, Chad Laux

International Conference on Lean Six Sigma

This paper gives insights on how to measure the degree of lean for services and explores existing instruments, proposing adaptions on an existing instrument, developed for production.

From Letters To Logistics - The Enabling Role Of A Lean Transformation Programme In A National Postal Service: The Case Of An Post, Ireland, Seamus O'Reilly, Leadiing Edge Group, An Post

International Conference on Lean Six Sigma

From Letters to Logistics - The enabling role of a lean transformation programme

in a national postal service: The case of An Post, Ireland

Seamus O’Reilly (Cork University Business School), David Murray (An Post) and Joe Aherne (Leading Edge Group)

Abstract

Purpose

This paper investigates the role of a lean transformation programme in supporting the transition of a national postal (mail) service from a traditional letter delivery service to a competitive parcel delivery service.

Methodology

Given the objective an intrinsic case study (Stake, 2005) approach was adopted, as this specific case was of interest. To support this approach the researchers …

Improve Outcomes In Lean Six Sigma With Servant Leadership, David W. Hoffa, Chad Laux, Manal Alduraibi

International Conference on Lean Six Sigma

1. Purpose

The purpose of this study was to explore lean leadership within Lean Six Sigma (LSS). The objective of this paper was to explore how LSS program success might be improved by focusing Black Belt efforts on mentoring Green Belts with a servant leadership model. The importance of Green Belt projects is typically overlooked in the literature. The effects of prioritizing the development of Green Belts and building a culture of continuous improvement over the traditional Black Belt project focus is explored.

2. Design/Methodology/Approach

The methodology of this paper is inspired by the authors’ field experiences in managing LSS …

Waste As A Product Of Organisational Culture, Dobrochna Sztajerska, Karolina Pawlusiak

International Conference on Lean Six Sigma

The organisational culture was subjected to studies for many years (Schein, 1983; Svyantek and DeShon, 1993; Sułkowski 2001, Chmielewska-Muciek 2009), so was the muda (waste) concept (Womack and Jones, 1996; Rother and Shook, 2003; Liker, 2003; Lisiecka and Burka, 2015). However, there is no research linking these two constructs, especially when it comes to looking for specific waste depending on the organisational culture.