Business Commons^™

Apple “Porn” 2.0: Apple’S Vision (Pro), Suzanne E. Ferriss

Class, Race and Corporate Power

This article extends the argument made in “Apple ‘Porn’: Design Videos as Seduction and Exploitation” (Ferriss 2018) to consider the corporation’s filmed representation of its newest device: an augmented reality headset dubbed Vision Pro. It argues that Apple’s latest narratives further relegate human work and community to the margins by presenting human experience as thoroughly mediated by computer-enhanced simulation, its pinnacle achieved through its Apple Vision Pro headset that turns the home and workspace into one immersive audiovisual world. Rather than its devices and software becoming an inseparable part of our personal and shared spaces, they become the spaces. We …

A Simulation Of The Impacts Of Climate Change On Civil Aircraft Takeoff Performance, Thomas D. Pellegrin

Doctoral Dissertations and Master's Theses

Climate change affects the near-surface environmental conditions that prevail at airports worldwide. Among these, air density and headwind speed are major determinants of takeoff performance, and their sensitivity to global warming carries potential operational and economic implications for the commercial air transport industry. Previous archival and prospective research observed a weakening in headwind strength and predicted an increase in near-surface temperatures, respectively, resulting in an increase in takeoff distances and weight restrictions. The main purpose of the present study was to update and generalize the extant prospective research using a more representative sample of worldwide airports, a wider range of …

From Case Studies To Experiential Learning. Is Simulation An Effective Tool For Student Assessment?, Bassem E Maamari, Darin El-Nakla,

Arab Economic and Business Journal

With the fast changes enforced by the COVID-19, many business schools found themselves streamed into using new technology and platforms to safeguard the academic year 2020-2021. The introduction of business simulation for student assessment before graduating from the undergraduate program has always presented a challenge in terms of approach to use. Today, business simulation is introduced, not only to enhance students’ learning experience but also to satisfy the assessment institutional requirement of closing the gap. This comparative quantitative study uses feedback from students of two cohorts assessed during the same academic year, one using the case method and the second …

A Simulation-Based Tdabc Model To Manage Supply Chain Costing: A Case Study, Siham Rahoui, John Crowe, Amr Mahfouz

Conference Papers

Effective management of supply chain costing is crucial for decision-making during times of disruption. It provides accurate cost indicators, enabling organizations to adapt to the risks of disruptions and mitigate their adverse effects. The supply chain costing literature has shown that traditional cost accounting approaches are inadequate in addressing the dynamic and complex nature of supply chain performance and the nonlinear behavior of the involved processes. Consequently, this paper presents a simulation-based supply chain costing framework that integrates discrete event simulation and time-driven activity-based costing to explore the dynamics of management accounting tools in a real context with all their …

Improving Safety Service Patrol Performance, Mecit Cetin, Hong Yang, Kun Xie, Sherif Ishak, Guocong Zhai, Junqing Wang, Giridhar Kattepogu

Civil & Environmental Engineering Faculty Publications

Safety Service Patrols (SSPs) provide motorists with assistance free of charge on most freeways and some key primary roads in Virginia. This research project is focused on developing a tool to help the Virginia Department of Transportation (VDOT) optimize SSP routes and schedules (hereafter called SSP-OPT). The computational tool, SSP-OPT, takes readily available data (e.g., corridor and segment lengths, turnaround points, average annual daily traffic) and outputs potential SSP configurations that meet the desired criteria and produce the best possible performance metrics for a given corridor. At a high level, the main components of the developed tool include capabilities to: …

Teaching How Supply Chain Operations Impact Financial Results: A Case Study Using Cloud-Based Simulation, Michael J. Murray

Southwestern Business Administration Journal

Understanding how the execution of the supply chain business processes affect the financial performance a firm is key to running a successful enterprise. These processes are integrated across many functional groups within a business organization, and it is difficult to illustrate this integration in a classroom setting. This paper presents a case study of teaching supply chain operations and business analytics using the cloud-based SAP ERPsim manufacturing game. Although teaching about enterprise systems is often classified as part of the MIS or accounting domain, the ERPsim simulation encompasses the primary supply chain business processes, and because the enterprise system on …

Risk-And-Resiliency-Intelligent Supply Chain (Rrisc), Ahmad A. Abdelnabi, Ahmed M. Abdelmagid, Ghaith Rabadi, Andres Sousa-Poza, C. Ariel Pinto

Modeling, Simulation and Visualization Student Capstone Conference

This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.

Variability In Rice Returns Using A Representative Farm Approach, Adriana Dimas

LSU Master's Theses

Agriculture is a major contributor to the U.S. economy and vital to the continued availability of a safe and inexpensive food supply. Representative farms are virtual farms that represent the production practices of a specific crop and region. Annually, growers face critical management decisions on what crop enterprise selection and combinations will maximize the net returns. Risk for growers comes from the variation in different factors such as yield, market price, production input costs, among others that are required to produce each enterprise. Nine representative farms were established within Louisiana, Mississippi, and Arkansas to evaluate net return variability among different …

Unraveling The Link Between Simulation Ehr Training And Task Performance: The Mediation Role Of Stress, Murad Moqbel, Vanessa Garza Clark, Aroop K. Pal, Lauren Pulino

Information Systems Faculty Publications and Presentations

Past research has explored the link between computer-mediated communication (CMC) and task performance, but it remains unclear how (i.e., under what mechanisms) CMC impacts task performance. Drawing on media naturalness theory and the stimulus-organism-response model as our theoretical framework, we develop a research model and describe how simulation-based EHR training (a type of CMC) can improve EHR-based task performance by mitigating stress. We empirically test the model with a unique experimental dataset from EHR lab assessment and questionnaires that 225 participants completed. The structural equation modeling analysis results show that simulation EHR training helped improve EHR-based task performance (both effectiveness …

Development Of A Framework To Support Informed Shipbuilding Based On Supply Chain Disruptions, Katherine Smith, Rafael Diaz, Yuzhong Shen

VMASC Publications

In addition to stresses induced by the Covid-19 pandemic, supply chains worldwide have been growing more complex while facing a continuous onslaught of disruptions. This paper presents an analysis and extension of a graph based model for modeling and simulating the effects of such disruptions. The graph based model combines a Bayesian network approach for simulating risks with a network dependency analysis approach for simulating the propagation of disruptions through the network over time. The initial analysis provides evidence supporting extension to for using a multi-layered approach allowing for the inclusion of cyclic features in supply chain models. Initial results …

Exploring Blockchain Adoption Supply Chains: Opportunities And Challenges, Adrian V. Gheorghe, Omer F. Keskin, Farinaz Sabz Ali Pour

Engineering Management & Systems Engineering Faculty Publications

In modern supply chains, acquisition often occurs with the involvement of a network of organizations. The resilience, efficiency, and effectiveness of supply networks are crucial for the viability of acquisition. Disruptions in the supply chain require adequate communication infrastructure to ensure resilience. However, supply networks do not have a shared information technology infrastructure that ensures effective communication. Therefore decision-makers seek new methodologies for supply chain management resilience. Blockchain technology offers new decentralization and service delegation methods that can transform supply chains and result in a more flexible, efficient, and effective supply chain. This report presents a framework for the application …

Conceptual Model Of Students Abroad’S Behaviour: Agent-Based Modeling Approach, Tutik Inayati, Utomo Sarjono Putro, Santi Novani, Ilham Fadhil Nurdayat

ASEAN Marketing Journal

Manuscript type: Original Papers Research Aims: To explore the behavioral process of international students on how they can change their decision to remain or return home based on their interactions with other agents during their studies. Design/methodology/approach: This paper uses an agent-based methodology approach to simulate the behavior of students based on their interactions while studying abroad. A combination of four parameters with three different scenarios and 40 repetitions in every scenario are conducted to verify the model; 81 simulations are determined to simulate this model. Research Findings: The number of natives interacting with students is proven as one single …

Using Excel To Teach Simulation For Management Accounting, Clarence Goh, Poh Sun Seow, Gary Pan

Research Collection School Of Accountancy

In this article, we introduce an Excel exercise on simulation that can be implemented in a management accounting class. Specifically, we introduce a three phase implementation process where instructors (i) give the class an introduction to simulation, (ii) introduce students to a four-step process used in conducting analysis using simulation in Excel, and (iii) introduce a simulation problem focused on a specific area of management accounting (revenue projection) and guide students in completing the simulation analysis in Excel. By highlighting how simulation models can be built using Excel and used to solve a management accounting problem, our article identifies an …

Risk_Dash, A Python Framework To Model Portfolio Risk, Alexander Van Oene

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

While there are many Python packages that provide ways to do data analysis, in fact the package utilizes pandas, numpy, and scipy heavily, there are few that apply and handle common tasks that analysts face in quantifying market risk. pyfolio is one of those packages, however it forces you to utilize their infrastructure package Zipline where as risk_dash aims to provide a framework to formalize the data flow while being totally customizable for the analyst. risk_dash is comprised of classes and methods to handle the data flow and calculation of market risk metrics at the asset and portfolio level. In …

The Impact Of Unequal Processing Time Variability On Reliable And Unreliable Merging Line Performance, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Zouhair Laaarraf

Information Technology & Decision Sciences Faculty Publications

Research on merging lines is expanding as their use grows significantly in the contexts of remanufacturing, reverse logistics and developing economies. This article is the first to study the behavior of unpaced, reliable, and unreliable merging assembly lines that are deliberately unbalanced with respect to their coefficients of variation (CV). Conducting a series of simulation runs with varying line lengths, buffer storage capacities and unbalanced CV patterns delivers intriguing results. For both reliable and unreliable lines, the best pattern for generating higher throughput is found to be a balanced configuration (equal CVs along both parallel lines), except for unreliable lines …

Small Business Risk In The Context Of A Pandemic: A Simulation, Ashlyn Sperry

Honors Undergraduate Theses

In this thesis, I consider the impact of the COVID-19 pandemic on small businesses, as they are acutely at risk due to the lack of implicit government insurance that would be available to larger corporations. I will discuss insurance's characteristics using the basic theory of insurance, analyze pandemic insurance's viability in the private market, and critique alternative solutions. While the theory suggests that pandemics are not insurable in the private market, I will perform specific analysis to determine if this is the case or not. Using a simulation of the economic landscape firms face, business owners with varying levels of …

Global Optimization Algorithms For Image Registration And Clustering, Cuicui Zheng

Dissertations

Global optimization is a classical problem of finding the minimum or maximum value of an objective function. It has applications in many areas, such as biological image analysis, chemistry, mechanical engineering, financial analysis, deep learning and image processing. For practical applications, it is important to understand the efficiency of global optimization algorithms. This dissertation develops and analyzes some new global optimization algorithms and applies them to practical problems, mainly for image registration and data clustering.

First, the dissertation presents a new global optimization algorithm which approximates the optimum using only function values. The basic idea is to use the points …

Situational Judgment Tests: From Low-Fidelity Simulations To Alternative Measures Of Personality And The Person-Situation Interplay, Filip Lievens, Philipp Schäpers

Research Collection Lee Kong Chian School Of Business

In employment and education settings, Situational Judgment Tests (SJTs) have made strong inroads. So far, however, they are still underutilized in personality research. The objective of this chapter is to outline how SJTs might be adapted to measure personality traits, shed light onto the person-situation interplay, and stimulate research on it. We start by discussing the traditional simulation-based view on SJTs, including information on their development and research results. Next, we show how more recent versions have started to assess people’s knowledge of relevant behavior related to personality traits. Finally, we specify various strategies as to how SJTs might be …

Escape Route Designs And Specifications For Office Buildings - “Cciat” Building As A Case Study, Mostafa El-Hefnawi

BAU Journal - Creative Sustainable Development

Many office buildings encounter various problems with their fire safety evacuation designs. The Chamber of Commerce, Industry and Agriculture Tripoli - North Lebanon (CCIAT) is considered the only modern office building in its context that lacks fire escape elements and emergency plans. This paper presents an analysis and proposals for an optimal evacuation scenario for the case of the CCIAT building, and develop solutions for similar office buildings. The problem is interpreted with reference to the positions of existing staircases and lifts and their connectivity with occupants’ offices and other facilities on the floors, in order to provide a comprehensive …

Managing Clinic Variability With Same-Day Scheduling, Intervention For No-Shows, And Seasonal Capacity Adjustments, Kum Khiong Yang, Tugba Cayirli

Research Collection Lee Kong Chian School Of Business

This study investigates demand and capacity strategiesfor managing clinic variability. These include (i) same-day scheduling tocontrol random walk-ins, (ii) no-show intervention, where the clinic callsadvance-booked patients a day before to identify and release canceled slots tosame-day patients, and (iii) adjustments to daily number of appointments foradvance-booked patients to match seasonal variations in same-day demand. Thesestrategies are tested over the individual-block/fixed-interval (IBFI) and theDome appointment rules. The resulting appointment systems are tested underscenarios with different levels of same-day demand, demand seasonality,no-shows and cost ratios. The goal is to minimize the weighted sum of patients’wait time and physician’s idle-time and overtime. Our …

The Business Meeting: A Cross-Cultural Experiential Learning Activity, Arpita Joarder, Konrad Jamro, Ram Ravi

Organization Management Journal

This paper presents a simulation designed to help students learn about the challenges and necessary skills for conducting business in cross-cultural settings. The exercise involves assigning participants to two fictitious cultural groups, each with its own norms and expectations. Participants interact with members of the other culture in accordance with the instructions provided in order to negotiate successfully. This experiential learning activity allows students to reflect on their cross-cultural skills in a simulated business setting. An assessment of the exercise conducted in classroom setting indicated evidence of its effectiveness.

Optimization Of Automated Guided Vehicles (Agv) Fleet Size With Incorporation Of Battery Management, Ahmed Hamdy

Engineering Management & Systems Engineering Theses & Dissertations

An important aspect in manufacturing automation is material handling. To facilitate material handling, automated transport systems are implemented and employed. The AGV (automated guided vehicle) has become widely used for internal and external transport of materials. A critical aspect in the use of AGVs is determining the number of vehicles required for the system to meet the material handling requirements.

Several models and simulations have been applied to determine the fleet size. Most of these models and simulations do not incorporate the battery usage of the vehicles and the effect it can have on the throughput and the number of …

Humanitarian Logistics: Shipping Designs For The Post Disaster Cargo Surge, Nicholas L. Green

Theses and Dissertations

In 2017 Hurricane Maria devastated Puerto Rico. The humanitarian aid community scrambled a response to support the 3.4 million people affected by the disaster. In response, thousands of shipping containers filled with supplies were sent to the island. Numerous reports surfaced regarding significant delays in receiving the shipments. This research reviews the historical account of cargo throughput into Puerto Rico following Maria. A computer simulation built in ARENA compares various what-if scenarios based on empirically collected data and interviews with FEMA, port authorities, and commercial cargo carriers to determine how the humanitarian supply chain could improve for future disaster planning. …

Using Simulation To Model Reserve Officer Training Corps Cadet Flow, Marydell V. Westman

Theses and Dissertations

The Army Cadet Command oversees the Army Reserve Officer Training. It receives mission goals every year along with a budget. It is their responsibility to recruit enough cadets to fulfill mission goal and remain under budget, while ensuring the recruited cadets have the correct percentages of race, gender, and majors. This research provides a tool that can change the numbers and percentages of incoming cadets, what year of school they enter, as well as their gender, race, and STEM or non-STEM parameters, in order to explore the composition of graduated commissioned cadets. This study finds that changing the percentage of …

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

Journal of International Technology and Information Management

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

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

Journal of International Technology and Information Management

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

Financial Outcomes From Selection Of Insurance Intervals, Shana Anderson Stewart

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The purpose of this paper is to demonstrate the potential value of enrolling in rainfall-index for pasture, rangeland, and forage insurance for Utah producers. A stochastic optimization model is used to identify the optimal selection of insurance intervals that will provide the maximum indemnity payments less premiums. Four Utah counties were selected for analysis. Results indicate that positive returns will occur greater than 60% of the time in all counties with the selected insurance intervals. The optimal months to insure varied in each county.

Resilient Aircraft Maintenance Constructs: Enhancing Repair Network Designs To Effectively Manage Risks And Supply Chain Interruptions, Thomas S. Bihansky

Theses and Dissertations

This research aims to extend the understanding of supply chain resiliency by utilizing a simulation model of a U.S. Air Force aircraft engine repair network to evaluate the degree of resiliency built into the system. The study compares the recovery time of the disrupted current system to that of a fully-integrated repair network; the objective being the quantification of resiliency in the current networks design and gauging the effectiveness of various strategies in reducing recovery time. This contributes to current literature by bridging the explicit gap on how to quantify, measure, and compare resilient supply chain strategies and also provides …

Rotating The Medical Supplies For Emergency Response: A Simulation Based Approach, Quan Zhou, Tava Lennon Olsen

Faculty of Business - Papers (Archive)

Serious expiration problems exist in national medical reserves prepared for emergency response. One alternative to reduce expiration is to rotate the reserve to hospitals so products can be used for day to day operations. Yet, rotation incurs extra handling costs and needs to be combined with hospitals' ordering decisions. This decision process is complex and involves various sources of uncertainty. In this paper, we use discrete-event simulation to model the rotation of the reserve in combination with the hospitals’ inventory management, and combine it with optimization to search for the optimal rotation policy. With simulation experiments, we evaluate the performance …

Multi-Step Tokenization Of Automated Clearing House Payment Transactions, Privin Alexander

USF Tampa Graduate Theses and Dissertations

Since its beginnings in 1974, the Automated Clearing House (ACH) network has grown into one of the largest, safest, and most efficient payment systems in the world. An ACH transaction is an electronic funds transfer between bank accounts using a batch processing system.

Currently, the ACH Network moves almost $43 trillion and 25 billion electronic financial transactions each year. With the increasing movement toward an electronic, interconnected and mobile infrastructure, it is critical that electronic payments work safely and efficiently for all users. ACH transactions carry sensitive data, such as a consumer's name, account number, tax identification number, account holder …