Digital Commons Network^™

การพยากรณ์ความต้องการสินค้าสำเร็จรูป และนโยบายการเติมเต็มสินค้าคงคลังสำหรับธุรกิจเครื่องใช้ไฟฟ้าภายในบ้าน, พิมพ์ชนก ทินวงค์

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยฉบับนี้มีวัตถุประสงค์เพื่อศึกษารูปแบบการพยากรณ์ที่สอดคล้องกับปริมาณความต้องการขาย ซึ่งมีความสำคัญที่ส่งผลต่อการกำหนดนโยบายการจัดการสินค้าคงคลังของธุรกิจเครื่องใช้ไฟฟ้าภายในบ้านด้วยวิธีกำหนดปริมาณการสั่งซื้อคงที่ (Order quantity model) เพื่อลดจำนวนเงินลงทุนในสินค้าคงคลัง และต้นทุนรวมของสินค้าคงคลัง โดยในปัจจุบันบริษัทกรณีศึกษาลงทุนในสินค้าคงคลังเฉลี่ยต่อเดือนสูงถึง 545 ล้านบาท แต่มียอดขายเพียง 115 ล้านบาท หรือ 1 ใน 5 ของมูลค่าสินค้าคงคลัง รวมไปถึงข้อจำกัดของการสั่งซื้อสินค้าตามปริมาณการสั่งขั้นต่ำ (MOQ) แบบบรรจุเต็มตู้คอนเทนเนอร์ ที่ทำให้จำเป็นต้องถือครองสินค้าคงคลังในปริมาณสูง การศึกษาเริ่มต้นจากการรวบรวมข้อมูลยอดขายสินค้าระหว่างปี 2019-2023 มาจำแนกความสำคัญด้วยหลักการวิเคราะห์ ABC Analysis แล้วเลือกสินค้าใน Class A ที่มีมูลค่าการถือครองมากกว่า 35 ล้านบาทต่อปี จำนวน 9 รายการ มาเป็นตัวอย่างในการศึกษา จากนั้นศึกษาจากรูปแบบของข้อมูล แล้วทำการศึกษาเปรียบเทียบเทคนิคการพยากรณ์และใช้ MAPE เป็นตัวชี้วัดในความแม่นยำ จากนั้นนำเสนอนโยบายด้วยวิธีการสั่งซื้อสินค้าด้วยปริมาณการสั่งคงที่หรือ Q โมเดล ผลการศึกษาพบว่าสินค้าที่มี demand แบบ no trend, no seasonal จะใช้วิธี SES สินค้าที่มี demand แบบมี trend, no seasonal จะใช้วิธี DES และสินค้าที่มี demand แบบ seasonal จะใช้เทคนิค TES ในการพยากรณ์ และในส่วนของการกำหนดนโยบายการสั่งซื้อสินค้าด้วยปริมาณการสั่งคงที่ โดยกำหนดค่าจุดสั่งซื้อ (ROP) จากแบบจำลองทางคณิตศาสตร์ และสั่งซื้อตามปริมาณ MOQ ทำให้สามารถลดปริมาณเงินลงทุนในค่าสินค้าคงคลัง ลงได้ 85 ล้านบาท หรือคิดเป็น 17% และสามารถลดต้นทุนในการจัดการสินค้าคงคลังลงได้ 3 ล้านบาท หรือคิดเป็น 31%

Identifying Factors Influencing Willingness To Pay For Ev (Electric Vehicles) In Kunming City, China, Yutian Chen

Chulalongkorn University Theses and Dissertations (Chula ETD)

To reduce energy consumption and environmental pollution, the Chinese government is promoting the use of electric vehicles (EVs) as a means of achieving these environmental goals. As one of the most promising cities for electric vehicle (EV) development in China, Kunming plays an important role in promoting the adoption of EVs. This study, based on the Theory of Planned Behaviour (TPB), aims to identify the factors influencing the willingness of Chinese citizens to pay for electric vehicles (EVs). The aforementioned factors encompass government policies, consumers' environmental awareness, face consumption, technology awareness, brand loyalty, attitudes, subjective norms and perceived behavioural control. …

Examining The Adoption Of Low/Zero Emissions Passenger Vehicles In Used Car Markets: A Case Study From Saint Vincent And The Grenadines, Westford Stilly Joseph

Chulalongkorn University Theses and Dissertations (Chula ETD)

The transportation sector accounts for a quarter of global greenhouse gas (GHG) emissions, with private vehicles contributing approximately 39% of these emissions. The adoption of low/zero emission vehicles (LZEVs) is a critical strategy for reducing GHG emissions. However, despite the projection that developing states will account for 90% of global vehicle fleet expansion over the next decade, little research has explored the issues of LZEV adoption in markets where consumers predominantly purchase used cars, such as Saint Vincent and the Grenadines. This study uses an Extended Theory of Planned Behaviour (ETPB) model to analyse factors influencing LZEV purchase intentions among …

Prime Intersection Graphs Of Ideals Of Commutative Artinian Rings, Nuttawut Sangjaer

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, we study prime intersection graphs of ideals of commutative Artinian rings. We work on the connectedness, completeness and planarity of the graphs and characterize the star graphs for these graphs. We calculate graph \linebreak parameters and find the radius and a center of the graphs. Moreover, we determine the degree of each vertex when the vertex set is finite, and characterize the Eulerian and Hamiltonian properties of the graphs.

Prediction Of Optimal Binding Constraints Of Linear Programming Problem Using Deep Learning, Natdanai Kafakthong

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents innovative deep learning models designed to enhance the efficiency of solving linear programming, transportation, and traveling salesman problems. The first model, LP-Net, predicts the binding optimal constraints in linear programming problems, achieving faster solution times compared to traditional solvers like CPLEX. The second model, Transport-Net, predicts optimal basic feasible arcs for transportation problems, demonstrating significant speedups and superior scalability over both CPLEX and Gurobi in large-scale instances. The third model, TSP-Net, addresses the traveling salesman problem by predicting an initial near-optimal tour, outperforming Gurobi and genetic algorithms in computational efficiency. Collectively, these deep learning approaches offer transformative …

Learning To Code With Github Copilot: A Resource For New Student Developers, Sarah Zelikovitz

Open Educational Resources

This resource provides a step-by-step guide for new student developers on using GitHub Copilot. It covers the process of signing up for GitHub's Educa􀀁on program, integra􀀁ng Copilot into two popular integrated development environments (IDEs), and using Copilot to generate, document, debug, and optimize code through prompt-based interactions. This guide empowers students to leverage AI-driven assistance in solving coding challenges. It also gives students an understanding of the limitations of AI, and how to use it safely and effectively.

Magnetic Spin Transport Coils For The N2edm Experiment, David C. Bowles

Theses and Dissertations--Physics and Astronomy

The n2EDM experiment is being construct at Paul Scherrer Institute to measure the electric dipole moment of the neutron (nEDM), in a search for new physics which could help explain the baryon asymmetry of the universe. To reach the experimental sensitivity goal of $d_n \sim 10^{-27}$, over an order of magnitude improvement from the current world limit, a spin polarization transfer efficiency of 99\% for ultracold neutrons entering or exiting the precession chamber is required, placing a stringent requirement on the adiabaticity of the magnetic field taper in the neutron guide system. The spin transport fields transition from 5~T (longitudinal) …

Qcd Analysis Of Flavor-Nonchanging Hadronic Weak Processes Through Next-To-Leading Order, Girish Lingadahalli Muralidhara

Theses and Dissertations--Physics and Astronomy

Studies in quantum chromodynamics (QCD), the fundamental theory of the strong interactions, of low-energy hadronic weak processes utilize an effective Hamiltonian framework. Below the weak-mass scale, an effective Hamiltonian contains a series of Wilson coefficients and four-quark operators that come from the operator product expansion in the Standard Model. The effective hadronic Hamiltonian pertinent to a weak process is then obtained via a renormalization group analysis in QCD from the weak-mass scale to the low-energy scale of O(2 GeV). In this thesis, the construction and phenomenological implications of such an effective Hamiltonian for flavor-conserving, parity-violating quark processes in the Standard …

Exploring The Hot And Gaseous Universe From Infrared To X-Ray, Chamani Gunasekera

Theses and Dissertations--Physics and Astronomy

Over 90% of baryonic matter in the universe exists as astrophysical plasmas. The gas
is often far from thermodynamic equilibrium, so numerical non-equilibrium spectral
synthesis simulations are used to understand observations. cloudy simulates vari-
ous physical conditions, providing spectra predictions. This thesis aims to meet the
challenge of new observatories like the JWST (James Webb Space Telescope) and
XRISM (X-Ray Imaging Spectroscopy Mission). These simulations are no better
than the underlying atomic and molecular database and the fourth chapter details
a long-needed update to an evolving database. The predicted spectra are strongly
affected by the composition of the gas, which …

Techniques For Optimizing Neutron Beta Decay Particle Detection, Austin W. Nelsen

Theses and Dissertations--Physics and Astronomy

Over the last couple decades, use of free neutron beta decay (n → p + e^- + ν_e) to extract the up-down quark transition element V_ud has become competitive with more conventional Fermi decays. Extraction of V_ud requires measurements of the vector to axial-vector coupling constant ratio λ and the free neutron lifetime τ_n. With a precise determination of V_ud, the 2.8σ departure from CKM unitarity can be addressed.

Nab, located at the Spallation Neutron Source at ORNL, will measure the electron-neutrino momentum correlation coefficient a (which couples quadratically …

Spinning Spheroidal Components Of Disk Galaxies: Resonant Interactions With Stellar Bars, Xingchen Li

Theses and Dissertations--Physics and Astronomy

The majority of disk galaxies possess stellar bars, which are the main driver in the internal evolution of barred galaxies. Bars represent non-axisymmetric perturbations in the galactic disks, producing strong gravitational torques that facilitate angular momentum transfer from the disk to the spheroidal components, such as central stellar bulges and host dark matter (DM) halos. The redistribution of angular momentum in barred galaxies proceeds mainly via resonant interactions between the bar and orbits in the spheroids. The amount of angular momentum emitted or absorbed at each resonance depends on the mass distribution, density and spin in the spheroidal components. Thus, …

Development Of A Source To Detector Simulation Of The Los Alamos National Lab Neutron Electric Dipole Moment Experiment, Dillon Buskirk

Theses and Dissertations--Physics and Astronomy

The Los Alamos National Laboratory (LANL) neutron electric dipole moment (nEDM) experiment is planning an increased precision measurement of the neutron’s permanent electric dipole moment. LANL nEDM expects to lower the statistical uncertainty to δd_LANL = 2 × 10−27 e cm after a year of live-time, which puts a more stringent upper bound on the nEDM. This statistical uncertainty is an order of magnitude less than the current best measurement set by nEDM at PSI. To reach this goal, the LANL nEDM collaboration requires a simulation tool that can tackle optimization problems, investigate systematic effects, and provide mock data …

Development Of A Novel Beam-Type Neutron Lifetime Experiment Using Ultracold Neutrons, Nicholas Floyd

Theses and Dissertations--Physics and Astronomy

Precision measurements of the neutron lifetime are critical to tests of the Standard Model. The CKM quark mixing matrix has recently been shown to deviate from unitarity in the top row, motivating the development of alternative extractions of the first element. Complementary measurements of the neutron’s lifetime and decay correlations can be used to accomplish this.

While the reported neutron lifetime by the Particle Data Group is taken from ultracold neutron (UCN) measurements, a separate class of experiments suggest a value in four sigma disagreement, meriting further study. The goal of the UCNProBe experiment at Los Alamos National Laboratory is …

The Application Of Novel Machine Learning Algorithms To Study Multi-Dimensional Fragmentation Functions Of Hadrons In Jets At Star, Hannah A. Harrison-Smith

Theses and Dissertations--Physics and Astronomy

Hadronization, the process by which colored quarks and gluons shower from high energy collisions and recombine to form stable, experimentally-observable particles, is a fundamental aspect of Quantum Chromodynamics (QCD) that is not yet fully understood. Fragmentation functions, typically measured in electron-positron collisions, encapsulate this hadronization process well for quarks. Studying proton-proton collisions offers direct access to gluon fragmentation that other channels like electron-positron do not. Recent theoretical developments have proposed the study of hadronic showers in groupings called jets, introducing the concept of multi-dimensional jet fragmentation functions. This thesis presents the extraction of collinear and transverse momentum-dependent fragmentation functions for …

Precision Neutrino Interactions In And Beyond The Standard Model, Kaushik Borah

Theses and Dissertations--Physics and Astronomy

This dissertation investigates precision measurements of neutrino interactions within the framework of the Standard Model and explores potential extensions beyond it. Neutrinos, often referred to as ghostly particles due to their weak interactions and elusive nature, have long been a frontier in particle physics. Through detailed theoretical modeling and comparison with experimental data, this work focuses on improving our understanding of neutrino-nucleon cross-sections, nucleon form factors, and generalized neutrino interactions. The study begins with a comprehensive examination of the role of vector and axial-vector form factors in neutrino-nucleon scattering and their impact on the interpretation of neutrino oscillation data from …

Exploration Of Educator Training Requirements And Curriculum Standards And How These Could Impact The Development Of Children Aged 3 – 4 Years In Daycare Centers: A Qualitative Study, Katie Conley, Melissa Learish, Ayric Fetty

Graduate Student Scholarship

Daycare teachers, in general, are responsible for the support and education of children as they develop skills and achieve milestones. This study aimed to investigate what training and education related to developmental delays are provided to daycare teachers, the actions taken by teachers or directors to identify developmental delays, and how daycare curricula are developed and personalized for individual needs. Researchers conducted semi-structured interviews with daycare teachers who taught three and four-year-olds as well as site directors at three different facilities in Morgantown, West Virginia. Responses were transcribed and coded into six themes. Results indicate teachers have limited training and …

Qctaas (Quality Cloud Teaching As A Service): An Immersive Framework For Teaching Cloud Computing For Cybersecurity Majors, Mahmoud K. Quweider, Liyu Zhang, Alexis Aaron De La Cruz

Informatics and Engineering Systems Faculty Publications

Abstract Cloud Computing and Cybersecurity are at the heart of our recently created new bachelor-level degree in cybersecurity that addresses the national need for cybersecurity specialists. Cloud Computing involves many service models, including IaaS, PaaS, and SaaS, and many deployment models including Public, Private, and Hybrid clouds. Within the services and deployment models lies many concepts and practical implementations that a Cyber-analyst needs to master. We have adopted an immersive approach to teaching Cloud Computing services that introduces standard concepts based on clearly defined objectives from national certification authorities such as CompTIA Cloud+, covering all major services offered by the …

R&D Project Portfolio Collaboration: How To Structure The Strategic Alliance, Guiyun Feng, Pascale Crama, Wenqi Lian

Research Collection Lee Kong Chian School Of Business

Incumbent companies target innovative firms with promising research and development (R&D) projects to rejuvenate their product portfolio. Such strategic alliances create value by combining the innovator’s research expertise with the partner firm’s superior marketing capability. The partner firm chooses the timing and payment terms of the strategic alliance, accounting for the innovator's budget and marketing capability, and the project portfolio's market interaction and revenue variability. The partner firm may prefer delayed alliances post R&D completion for innovator firms with high marketing capability when the innovator has sufficient budget or when market interaction is weak. Upfront alliances - prior to the …

Managing The Personalized Order-Holding Problem In Online Retailing, Shouchang Chen, Zhenzhen Yan, Yun Fong Lim

Research Collection Lee Kong Chian School Of Business

Problem definition: A significant percentage of online consumers place consecutive orders within a short duration. To reduce the total order arrangement cost, an online retailer may consolidate consecutive orders from the same consumer. We investigate how long the retailer should hold the consumer’s orders before sending them to a third-party logistics provider (3PL) for processing. In this order-holding problem, we optimize the holding time to balance the total order arrangement cost and the potential delay in delivery. Methodology/results: We model the order-holding problem as a Markov Decision Process. We show that the optimal order-holding decisions follow a threshold-type policy that …

Synthesis Product For Ocean Time Series (Spots) – A Ship-Based Biogeochemical Pilot, Nico Lange, Björn Fiedler, Marta Alvarez, Alice Benoit-Cattin, Heather Benway, Pier Luigi Buttigieg, Laurent Coppola, Kim Currie, Susana Flecha, Dana S. Gerlach, Makio Honda, I. Emma Huertas, Siv K. Lauvset, Frank E. Muller-Karger, Arne Körtzinger, Kevin M. O'Brien, Sólveig R. Ólafsdóttir, Fernando C. Pachecho, Digna T. Rueda-Roa, Ingunn Skjelvan, Masahide Wakita, Angelicque White, Toste Tanhua

Marine Science Faculty Publications

The presented pilot for the Synthesis Product for Ocean Time Series (SPOTS) includes data from 12 fixed ship-based time-series programs. The related stations represent unique open-ocean and coastal marine environments within the Atlantic Ocean, Pacific Ocean, Mediterranean Sea, Nordic Seas, and Caribbean Sea. The focus of the pilot has been placed on biogeochemical essential ocean variables: dissolved oxygen, dissolved inorganic nutrients, inorganic carbon (pH, total alkalinity, dissolved inorganic carbon, and partial pressure of CO2), particulate matter, and dissolved organic carbon. The time series used include a variety of temporal resolutions (monthly, seasonal, or irregular), time ranges (10–36 years), and bottom …

Understanding The Impact Of Dual Shock On Kuwait Stock Market, Talal A.N.M.S. Alotaibi

Doctoral

The emergence of the COVID-19 pandemic has caused financial markets to suffer historic losses during the first quarter of 2020 at unseen levels since the crisis of the futures markets in 1987. In January 2020, the World Health Organisation officially declared the pandemic, bringing with it significant uncertainty levels to the global economy. The COVID-19 pandemic affected global markets parallel to a simultaneous shock from the Saudi Arabian and Russian oil price wars. As the worldwide health crisis escalated, governments worldwide were forced to take measures that led to economic lockdowns, leading to significant disruption of global supply chains and …

Using Environmental Dna Methods For Estimating Juvenile Chinook Salmon Abundance, Jacqueline Marie Bridegum

Cal Poly Humboldt theses and projects

In the Central Valley of California, stocks of Chinook Salmon are declining, and two out of the four ecotypes of Chinook Salmon within the Sacramento River system are federally listed. A monitoring network has been developed to estimate the abundances of downstream migrating Chinook Salmon smolts, but there is high uncertainty in these estimates due to low catch rates. Environmental DNA (eDNA) monitoring, which involves capture of genetic material that organisms release into their surrounding environment, has shown promise for estimating abundance of salmonids and could complement existing monitoring efforts and potentially reduce uncertainty in abundance estimates. This research project …

Incorporating Equity Into Sea-Level Rise Planning: Perspectives From Practitioners Across California, Nayré Herrera

Cal Poly Humboldt theses and projects

Scholars along with national and state governments have increasingly made calls to incorporate an equity lens into climate adaptation processes and into sea-level rise planning specifically. However, the language used in these high-level policies remains vague. There remains a need to learn from practitioners on the ground about the challenges and opportunities for effectively incorporating an equity lens into sea-level rise adaptation and planning efforts. I conducted interviews with 17 individuals who are working within their agencies or organizations to advance equity across the California coast along with a review of 17 California coastal policy documents to gain insights into …

The "Upside-Down" River: Trends In Total Nitrogen, Total Phosphorus, And Microcystin Concentration In The Klamath Basin, 2010-2021, Kayla M. Fitzpatrick

Cal Poly Humboldt theses and projects

The Klamath River tends to experience impaired upstream water quality, which improves downstream. Although this consensus is accepted, an updated spatiotemporal analysis of certain water quality parameters has not been conducted since 2017. With four of the Klamath River’s dams slated for removal by the end of 2024, it is critical to have an updated assessment of current water quality conditions from which to compare conditions following dam removal. In this study, total nitrogen (TN), total phosphorus (TP), and microcystin data from 2010-2021 were analyzed to determine concentration trends from Link Dam to the Klamath River Estuary.

Concentrations of TN …

Basal Topography And Carbon Accumulation Rate Of A Rare Northern California Coastal Fen, Sarah Leidinger

Cal Poly Humboldt theses and projects

Increasingly, the importance of peatlands as biodiversity hotpots, year-round water storage features, and significant carbon sinks are being recognized. Despite this, they are one of the most vulnerable ecosystems globally. While some peatland conservation and restoration initiatives are being developed, a greater understanding of small peatlands is needed to make management decisions. This study aims to determine the timing of peat formation, peat volume, and carbon accumulation rates of the Conspicuous Scoop Fen, a small (2.1-acre) fen near Bridgeville, California (~840 m.a.s.l.). During the summers of 2022 and 2023, I collected 39 m of peat cores at 14 sampling locations. …

Analyzing Science Classroom Design Ideas Of High School Students: Variations Amongst Lgbt-Identifying Students, Abraham A. Lewis

Cal Poly Humboldt theses and projects

The physical design of science classrooms is a leading factor in determining the uses of the classroom and the comfort and engagement of students in the classroom, and if a science classroom is designed with only the majority of students or the average student in mind, the classroom design may have a negative impact on the comfort, engagement, and perceptions of minority groups of students, such as queer students. The purpose of this research is to identify how a science classroom’s design impacts the perceptions, engagement, and comfort of queer students, and to use student suggestions to identify science classroom …

Composition, Spatial Co-Occurrence, And Temporal Overlap Of Small Mammal Species At American Pika (Ochotona Princeps) Activity Centers, Tina Giudici

Cal Poly Humboldt theses and projects

Understanding how spatial, temporal, and behavioral factors play a role in shaping the structure of small mammal communities can provide insights into the extent to which species can coexist. I investigated the community structure of American pikas (Ochotona princeps) and sympatric small mammals at lower elevations in Lassen National Forest, California, U.S.A. Camera trapping stations were installed at 35 activity centers of pikas across three study sites in Lassen National Forest from June - October 2023. I assessed differences in composition, spatial co-occurrence, and temporal overlap in communities of pikas and sympatric small mammals. A total of 11 …

Comparison Of Nonlinear Models For Predicting Live Weight Growth Curves In Lambproduction Of Kıvırcık And Karacabey Merino, Vasfi̇ye Kader Esen, Orhan Karadağ, Cengi̇z Elmaci, Seli̇m Esen

Turkish Journal of Veterinary & Animal Sciences

To achieve sustainable lamb production, it is crucial to determine the optimal slaughter age for maximum economic efficiencyand have a comprehensive understanding of breed characteristics. This study focuses on evaluating different nonlinear models todetermine the optimal slaughter age for Karacabey Merino and Kıvırcık lambs, renowned for their early development and superiormeat quality, respectively. The dataset comprised age-related live weight data from 98 lambs, including 36 female and 15 male Kıvırcıklambs, as well as 33 female and 14 male Karacabey Merino lambs. Six models, namely, negative exponential, Brody, Gompertz, logistic,Bertalanffy, and Richards were utilized to analyze the data. The model parameters …

Facilitating Mathematics And Computer Science Connections: A Cross-Curricular Approach, Kimberly E. Beck, Jessica F. Shumway, Umar Shehzad, Jody Clarke-Midura, Mimi Recker

Publications

In the United States, school curricula are often created and taught with distinct boundaries between disciplines. This division between curricular areas may serve as a hindrance to students' long-term learning and their ability to generalize. In contrast, cross-curricular pedagogy provides a way for students to think beyond the classroom walls and make important connections across disciplines. The purpose of this paper is a theoretical reflection on our use of Expansive Framing in our design of lessons across learning environments within the school. We provide a narrative account of our early work in using this theoretical framework to co-plan and enact …

Negotiating Inherent Asymmetries Of Co-Design: A Case Of Integrative Elementary Mathematics And Computer Science Instruction, Victor R. Lee, Stephanie Robillard, Mimi Recker, Jody Clarke-Midura, Jessica Shumway

Publications

Collaborative design, or “co-design”, is a term that has gained popularity in educational research and design communities, including those working with K-12 educators. While more groups are identifying with and pursuing co-design, much remains to be understood about how to structure the work within given different constraints, circumstances, and resources available to different parties. We propose understanding co-design as having inherent asymmetries and that structuring co-design work patterns involves negotiation of those asymmetries. Through a case of an elementary computer science and math integration research-practice partnership, we share ways that those asymmetries are both intentionally softened and leveraged at different …