Algorithms for bundling and pricing trucking services: Deterministic and stochastic approaches

Bundling and pricing trucking services is an important strategic decision for carriers. This is helpful when they consider the incorporation of new businesses to their networks, look for economic and optimal operations, and develop revenue management strategies. Reverse combinatorial auctions for trucking services are real-world examples that illustrate the necessity of such strategies. In these auctions, a shipper asks carriers for quotes to serve combinations of lanes and the carriers have to bundle demand and price it properly. This dissertation explores several dimensions of the problem employing state-of-the-art analytical tools. These dimensions include: Truckload (TL) and less-than-truckload (LTL) operations, behavioral attributes driving the selection of trucking services, and consideration of deterministic and stochastic demand. Analytical tools include: advanced econometrics, network modeling, statistical network analysis, combinatorial optimization, and stochastic optimization. The dissertation is organized as follows. Chapter 1 introduces the problem and related concepts. Chapter 2 studies the attributes driving the selection of trucking services and proposes an econometric model to quantify the shipper willingness to pay using data from a discrete choice experiment. Chapter 3 proposes an algorithm for demand clustering in freight logistics networks using historical data from TL carriers. Chapter 4 develops an algorithmic approach for pricing and demand segmentation of bundles in TL combinatorial auctions. Chapter 5 expands the latter framework to consider stochastic demand. Chapter 6 uses an analytical approach to demonstrate the benefits of in-vehicle consolidation for LTL carriers. Finally, Chapter 7 proposes an algorithm for pricing and demand segmentation of bundles in LTL combinatorial auctions that accounts for stochastic demand. This research provides meaningful negotiation guidance for shippers and carriers, which is supported by quantitative methods. Likewise, numerical experiments demonstrate the benefits and efficiencies of the proposed algorithms, which are transportation modeling contributions

The Impact of International Crises on Maritime Transportation Based Global Value Chains

Maritime transportation is very important for international trade The International trade network has evolved into complex global value chains (GVCs) Different to the common bilateral analysis, Statistical Network Analysis captures trade network effects Previous analyses do not consider: GVCs, global crises, transportation linkage This work: Rich Data from the Global Trade Analysis Project (GTAP) Novel representation of the Maritime Multi-commodity International Trade Network (MM-ITN) replicates GVCs Suite of Statistical Network Analysis tools Evolution of the MM-ITN clearly illustrated Impact of global crises described from a network perspective • Economic policy provide

Laboratorio de experiencias : una estrategia para la cultura informacional en la Biblioteca-CRAI Universidad de Antioquia

RESUMEN: El laboratorio de experiencias es una estrategia para generar un espacio de participación, aprendizaje y decisión conjunta en el que los involucrados acuerdan trabajar y aprender juntos para identificar de manera conjunta un horizonte formativo en perspectiva de una cultura informacional. Esto significa la consolidación de un marco teórico que ilumine el sendero de la práctica educativa y un modelo pedagógico que orienten sus acciones. En ese sentido, el laboratorio de experiencias se define como un espacio de trabajo colaborativo que busca apropiar conocimientos en el campo de la pedagogía y la didáctica que permitan la comprensión del proceso de formación desde los contenidos educativos, los métodos de enseñanza y las estrategias de evaluación, en la dimensión de una cultura informacional. Igualmente, se tiene en cuenta a otros actores que han aportado conceptualmente, desde las teorías de la formación y las tradiciones pedagógicas que soportan los pilares de la práctica educativa que se desarrolla en el Sistema de Bibliotecas de la Universidad de Antioquia

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

Proyecto"Evaluación de la confiabilidad estructural de paneles navales abollados por cargas dinámicas"

IP 1244-08-14299Contrato 485-2003Deformación trabajo y energia--trabajos virtuales--método de Newmark