cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.525
title: Comparison of inventory policies for multiple products at warehouse: a simulation study

description: This study compares the performance of two inventory control policies: the order-up-to-level (s, S) policy and the order-up-to (T, S) policy. The analysis was conducted using a simulation model based on real weekly demand data for three products distributed from a central warehouse to multiple retailers. For the (T, S) policy, two review periods, T = 1 and T = 2 weeks, were tested. Each policy was evaluated using two methods. Method 1 applies Excel Solver with a fill rate constraint to determine inventory parameters, while Method 2 uses a formula without applying the constraint. The simulation covers two years of data. The first year was used for parameter optimization, and the second year for testing performance under demand variability. Performance was measured using average total cost, average fill rate, coefficient of variation (CV), and bullwhip effect (BWE). Results show that (T, S) T = 1 Method 2 achieved the lowest average total cost across both years, making it the most cost-efficient option. In contrast, (T, S) T = 2 Method 1 achieved the highest fill rates, offering more stable service performance. The (s, S) policy delivered consistent results in some cases but experienced the highest cost increase under rising demand variation. When considering product-level performance, (T, S) T = 2 Method 2 provided the best control over order variability and demand fluctuation. These findings highlight the importance of selecting inventory strategies based on both cost efficiency and service level priorities under different demand patterns.
DOI: 10.15468/dl.6mnez8
title: Occurrence Download

description: A dataset containing 1820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Otus sunia",
 "Year 2000-2025"
 ]
}

 The dataset includes 1820 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025118-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2024.526
title: Designing a sustainable municipal solid waste management system

description: Municipal solid waste (MSW) management presents a formidable challenge in the face of rapid urbanization, escalating waste volumes, and the growing urgency for sustainable development. This thesis introduces a Python-based decision-support framework designed to optimize MSW management by balancing economic costs with environmental impacts, specifically greenhouse gas emissions. The framework integrates three multi-objective optimization techniques-the Weighted Sum Method, the Epsilon-Constraint Method, and Goal Programming-within a unified mixedinteger linear programming (MILP) model. Each approach is implemented and compared using a consistent dataset and visualized through a user-friendly Tkinter graphical interface. Through systematic analysis, the study highlights the trade-offs inherent in each method: while the Weighted Sum Method offers computational simplicity, the Epsilon-Constraint Method provides a detailed trade-off curve, and Goal Programming ensures realistic target setting with immediate feasibility feedback. The findings not only demonstrate the potential for significant cost savings and emission reductions but also offer practical insights for municipal decision-makers tasked with sustainable waste management. This research lays the groundwork for further advancements in integrating multi-objective optimization techniques into sustainable urban waste management practices.
DOI: 10.1285/i22402772a2p9
title: Contributi
DOI: 10.14457/tu.the.2024.527
title: Optimizing the vehicle routing for: the case study Myanmar's cooking oil distribution using the capacitated vehicle routing problem (LP model) framework

description: Enhancing logistics efficiency and cost-effectiveness is crucial for optimizing vehicle routing in supply chain management. This independent study explores the optimization of Myanmar's edible oil distribution network using the Capacitated Vehicle Routing Problem (CVRP) framework, implemented through the Gurobi Optimization (LP model) with Python on Google Colab. The independent study seeks to minimize transportation costs, reduce travel distances, and improve delivery efficiency for the operators, considering real-world constraints such as vehicle capacity, fleet size, depot operations, and transportation costs. The study is conducted in Meikhtila Township, Mandalay Region, Myanmar, a strategic distribution and logistical strategic hub for Myanmar. It leverages real-world transportation data, including fleet composition, store locations, and cost structures, to develop a mathematical optimization model that effectively schedules deliveries. The LP model based CVRP model ensures that each store receives a single delivery per day, vehicle capacity is not exceeded, and all routes begin and end at the designated depot. Additionally, a distance-based cost structure is integrated into the model to analyze and optimize fuel consumption while ensuring efficient fleet utilization. By designing daily delivery routes, the study maximizes truck utilization based on fleet limitations and store demand distribution. The proposed Gurobi optimization LP model is validated by comparing its performance with actual distribution data, assessing its impact on fuel efficiency, reduced travel distances, and cost savings. The results indicate that algorithm-based route optimization can significantly enhance supply chain reliability while minimizing logistics costs. Through the integration of computational optimization techniques and real-world logistics data, this study underscores the importance of automated route planning for public and private sector distribution networks. The findings offer scalable, data driven insights that can be adapted to various industries facing logistics and transportation challenges in Myanmar.
DOI: 10.14457/tu.the.2024.528
title: A modified fuzzy VIKOR with normalization for supplier selection problem

description: This study proposes a Modified Fuzzy VIKOR approach that integrates threenormalization techniques (Min-Max, Weight Sum, and Vector) to support multi-criteriadecision-making (MCDM) under uncertainty. It aims to examine the effects of analysismethods (Original vs. Modified VIKOR), data types (Non-Fuzzy vs. Fuzzy),normalization techniques, and v parameters (0.25, 0.5, 0.75) on the resulting set of bestalternatives. A key contribution of this study is the adjustment of the S index to reduceredundancy with R and enhance the discriminative power of Q, leading to more preciserankings. The methodology is applied to two case studies are supplier selection in theconstruction materials industry and residential housing evaluation. Results indicate thatthe Modified VIKOR increases the number of alternatives included in the resulting setof best alternatives, especially at higher v values, and that normalization techniquessignificantly influence the composition of the compromise set. The findings alsohighlight the sensitivity of results to data structure. Overall, the proposed frameworkoffers a flexible and effective decision-support tool for strategic evaluations underuncertainty.
DOI: 10.14457/tu.the.2024.529
title: Demand forecasting for agrochemicals: fungicides, herbicides, and pesticides

description: Demand forecasting and regression analysis for agrochemicals such as fungicides, herbicides, and pesticides is essential for optimizing supply chain management and ensuring the timely availability of critical crop protection chemicals. This independent study presents predictive modeling techniques which are the constant model (using Moving Averages of 3 and 6 periods), and trend-seasonal models, including Time Series Decomposition (Simple and Ratio-to-Trend methods) and Holt-Winters’ multiplicative seasonal model and to enhance demand forecasting and accuracy was evaluated using Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) to determine the best-fitting model. In addition, regression analysis was conducted to explore the factors influencing demand for each category of agrochemicals, recognizing that different products are affected by different variables. Historical sales data and relevant external factors were used to support the analysis. The results indicate that the trend seasonal model in demand forecasting is most suitable for three of the product categories, but for different types of models (TSD (simple) for fungicides, Holt-Winters model for herbicides, and TSD (Ratio-to-Trend) for pesticides). Furthermore, the study found that external factors influencing demand vary across categories. This study highlights the importance of data-driven forecasting in minimizing supply shortages, avoiding overstock, and understanding the external factors for different agrochemical products.
DOI: 10.15468/dl.t2rz2m
title: Occurrence Download

description: A dataset containing 1063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa sweginzowii"
 ]
}

 The dataset includes 1063 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025117-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2024.530
title: The effect of lot-sizing decisions on MRP: a case study of bumper assembly

description: Material availability is a critical factor in ensuring smooth production, particularly in automotive manufacturing. Material Requirements Planning (MRP) systems play a central role in managing inventory, scheduling, and lot-sizing to meet production demands efficiently. In the context of bumper assembly, determining the optimal lot size is essential due to the large number of parts and demand fluctuations. Larger lot sizes can lead to excessive inventory levels, increasing storage, handling, and carrying costs, while smaller lot sizes may strain production with frequent setups and deliveries. This study examines the effect of different lot-sizing techniques on the performance of MRP in a bumper manufacturing scenario. It explores how lot-sizing decisions influence lead time, inventory levels, and associated costs such as transportation, warehousing, and production scheduling. The findings support strategic lot-sizing to optimize inventory turnover, reduce operational costs, and enhance information flow accuracy, ultimately contributing to improved production efficiency and organizational profitability.
DOI: 10.14457/tu.the.2024.531
title: Development of inventory policies for managing cosmetic ingredients: a case study of a chemical distributor in Thailand

description: This Independent Study, conducted as part of the SE799 course in the Logistics and Supply Chain System Engineering Program, focuses on optimizing inventory control policies for two cosmetic ingredients, one with high turnover and another with average demand under uncertain conditions. Using 35 weeks of real weekly sales data, empirical distribution functions (EDFs) were developed to represent actual demand variability without assuming a predefined statistical distribution. A periodic review (T, s, S) inventory policy was applied, accounting for real-world operational constraints such as minimum order quantity (MOQ), ordering cost, holding cost, and express delivery in case of shortages. To improve customer service and reduce lost sales, a shortage dissatisfaction cost was added to every shortage event, in addition to the express shipment cost. Two optimization techniques, grid search and golden section search were used to identify the most cost-effective (s, S) values. For the high-turnover ingredient, optimized policy parameters successfully minimized the total average cost while satisfying demand more reliably. For the average-demand ingredient, the results confirmed that holding inventory was not economical, and an on-demand ordering strategy was more appropriate. This study highlights the value of combining empirical data, simulation, and customer service considerations in inventory planning. The findings offer practical guidance for managing imported ingredients with unpredictable demand and varying service expectations.
DOI: 10.14457/tu.the.2024.532
title: An application of business intelligence and optimization techniques to minimize expired medical inventory

description: This project aimed to develop an intelligent decision-support system for managing short-expired medical inventory through integrated product selection and transport distance optimization. By combining Visual Basic for Applications (VBA) for data handling and Python-based Genetic Algorithm (GA) for optimization, the system offers a cost-effective and scalable solution suitable for warehouse settings, particularly within the healthcare sector. The objective was to address both what products to pick by prioritizing those closest to expiration—and how to pick them efficiently by optimizing route paths with path smoothness awareness. The system is composed of three key modules: a VBA-based input interface for product and demand data collection, a Solver-based optimization benchmark using Excel, and a Python GA module for full-scale metaheuristic route optimization. The initial phase utilized linear programming to allocate expiring stock based on demand constraints, followed by a routing model grounded in the Travelling Salesman Problem (TSP) structure to minimize total picking distance. Hyperparameter tuning was conducted on key GA parameters including population size, mutation rate, and elite ratio to enhance model performance and ensure convergence. Experimental results showed that the GA model achieved up to 19.78% distance reduction over traditional worker-generated picking paths, with consistently smoother and more structured routes. The model also demonstrated the ability to generate multiple optimal solutions, enhancing operational flexibility. Despite Excel Solver’s computational limitations, its use in the early phase validated the problem structure before transitioning to Python. The final model balances solution quality with computational efficiency and highlights practical deployment potential in real warehouse operations. In summary, this study bridges a critical gap in inventory-routing research by combining expiry-aware prioritization and dynamic route optimization using accessible, non-intrusive technologies. It contributes both methodological and practical advancements to logistics planning in time-sensitive healthcare environments.
DOI: 10.14457/tu.the.2024.533
title: Inventory optimization of spare parts for machinery production lines

description: This study focuses on developing an inventory management model for a make-to-order machine manufacturing business, with the aim of minimizing costs and preventing stock shortages of critical spare parts such as air filters and motor belts. The research addresses the challenges of balancing cost efficiency with stock availability in a spare parts inventory system. By creating a spreadsheet-based inventory management model for a make-to-order machine manufacturing business, by optimizing the Reorder Point (s) and Order-Up-To-Level (S) inventory policy using Grid Search and Golden Section Search. A simulation-based approach is used to evaluate different (s, S) combinations under varying demand and lead time scenarios, providing a practical solution that can be applied to real-world operations within the family business. The outcome of this study offers valuable insights into cost-effective spare parts management, ensuring the smooth operation of the production process while reducing excess inventory costs.
DOI: 10.1285/i22402772a2p11
title: Gli "studi romanistici" presso l'Università del Salento. Il passato, il presente, le prospettive.

description: The A. presents the history of 15 years of studies of Roman Law at the University of Salento, describing the scholars, the traditions, the results.
DOI: 10.14457/tu.the.2024.534
title: A fuzzy multi-objective approach to sustainable manufacturing optimization in a shoe factory in Thailand

description: This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model to optimize sustainable manufacturing in a Thai shoe factory. By incorporating fuzzy parameters for demand, the model addresses real-world uncertainty in customer needs while minimizing carbon emissions as a key environmental objective. Labor is treated as a crisp parameter, reflecting fixed availability assumptions. Scenarios with and without solar cell implementation are evaluated to assess the impact of renewable energy. Results indicate that solar adoption can significantly reduce carbon emissions without compromising economic or social outcomes. The proposed model provides a practical framework for optimizing sustainable manufacturing and aligns with global sustainability goals.
DOI: 10.1285/i22402772a2p31
title: Il lessico della riforma nella tradizione su Tiberio Gracco

description: The paper examinates the reformation draft of Tiberius Gracchus through the study of lexical and conceptual categories documented in the sources, especially Appian and Plutarch. Particular attention is paid to the influence of Stoicism on the argumentations attributed to Tiberius Gracchus.
DOI: 10.15468/dl.ex3ayy
title: Occurrence Download

description: A dataset containing 7523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-30 81, 50 81, 50 12, -30 12, -30 81))",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "TaxonKey is one of (Idotea balthica)"
 ]
}

 The dataset includes 7523 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025119-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i22402772a2p63
title: Edictum proponere: nota a margine dell'editto di Galerio (30 aprile 311)

description: The paper explains the meaning of the expressions used by the sources in reference to the publication of the Edict of Galerius and casts light on the concrete ways of the publication of the same edict. The research, which embraces also the first antichristian Diocletian's edict, demonstrates that the two documents were probably published on a light and perishable support and posted up in public places.
DOI: 10.15468/dl.y3gr5v
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa multiflora cathayensis"
 ]
}

 The dataset includes 1861 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025120-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i22402772a2p71
title: «Dominium» e «libertas». Corsi e ricorsi storici.

description: The relationship between 'ownership' and 'freedom' has been heavily modified over time. While in the past they were considered two inseparably linked values, after the enactment of the Civil Code of 1942 and of the Constitution, that link was considered no longer existing. With EC law, however, there has been a return to the traditional view, as the 'ownership' is considered as a fundamental human right, intimately connected with 'freedom'.
DOI: 10.1285/i22402772a2p79
title: «Servitus altius non tollendi» con edificio intermedio libre de cargas. Ulp. 17 ad ed., D. 8.5.6 pr.

description: Nelle fonti troviamo esaminata la particolare fattispecie in cui, in presenza di una servitus altius non tollendi, viene costruito un edificio sul fondo intermedio. In tale saggio, partendo dall'analisi del passo senz'altro più significativo, D. 8.5.6 pr. (Ulp. 17 ad ed.), e prendendo in considerazione le altre testimonianze, vengono affrontate le varie problematiche scaturenti dalle decisioni relative a tale fattispecie, che investono la stessa configurazione delle servitù e la loro usucapibilità.
DOI: 10.15468/dl.n48jzp
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthocleista grandiflora",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 613 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025122-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca3ncm
title: Occurrence Download

description: A dataset containing 24175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sporobolus anglicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 24175 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025121-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i22402772a2p91
title: Sull'inerenza dell'exercitio navis del servus al peculium

description: The sources testify that the exercitio navis could be carried out not only by a sui iuris, but also from an alieno iuri subiectus, tipically a slave. It's debated, however, whether this maritime activity of the servus (especially in the presence of voluntas of the dominus - that would lead to his responsibility in solidum -) realized itself within the peculium or within the part of the assets of the dominus. From the very definition of exercitor provided by Gaius and Ulpian, as well as through the analysis of certain passages which deal specifically with the exercitio navis - in particular, D. 14.1.1.20 (28 to Ulp. ad ed.) and D. 14.1.6 pr. (6 Paul. brev.) - descends that the exercitor made such activities, even in the presence of voluntas the dominus, in his own interest. It was also unnecessary that the ship was part of the peculium, but the servus needed to had it in his full availability.
DOI: 10.15468/dd.cam6mk
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dd.npreny
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dl.37pqxc
title: Occurrence Download

description: A dataset containing 238103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sanguisorba minor"
 ]
}

 The dataset includes 238103 records from 1081 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025058-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e165461v1
title: Rapid evaluation of disorders in osmolarity (REDO) in COVID-19: development and validation of decision tree in open database

description: Supplymentary data for Rapid evaluation of disorders in osmolarity (REDO) in COVID-19: development and validation of decision tree in open database
DOI: 10.6084/m9.figshare.19386570
title: Additional file 1 of Unveiling how vitrification affects the porcine blastocyst: clues from a transcriptomic study

description: Additional file 1: Table S1. All identified transcripts in VIT vs. CO embryos.
DOI: 10.6084/m9.figshare.19386570.v1
title: Additional file 1 of Unveiling how vitrification affects the porcine blastocyst: clues from a transcriptomic study

description: Additional file 1: Table S1. All identified transcripts in VIT vs. CO embryos.